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Fri, 30 Apr 2021

Package rlang updated to version 0.4.11 with previous version 0.4.10 dated 2020-12-30

Title: Functions for Base Types and Core R and 'Tidyverse' Features
Description: A toolbox for working with base types, core R features like the condition system, and core 'Tidyverse' features like tidy evaluation.
Author: Lionel Henry [aut, cre], Hadley Wickham [aut], mikefc [cph] (Hash implementation based on Mike's xxhashlite), Yann Collet [cph] (Author of the embedded xxHash library), RStudio [cph]
Maintainer: Lionel Henry <lionel@rstudio.com>

Diff between rlang versions 0.4.10 dated 2020-12-30 and 0.4.11 dated 2021-04-30

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Package sjdbc updated to version 1.6.1 with previous version 1.6.0 dated 2016-12-16

Title: JDBC Driver Interface
Description: Provides a database-independent JDBC interface.
Author: TIBCO Software Inc.
Maintainer: Joe Roberts <jorobert@tibco.com>

Diff between sjdbc versions 1.6.0 dated 2016-12-16 and 1.6.1 dated 2021-04-30

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Package robustarima updated to version 0.2.6 with previous version 0.2.5 dated 2017-02-23

Title: Robust ARIMA Modeling
Description: Functions for fitting a linear regression model with ARIMA errors using a filtered tau-estimate.
Author: Stephen Kaluzny [aut, cre], TIBCO Software Inc. [aut, cph]
Maintainer: Stephen Kaluzny <spkaluzny@gmail.com>

Diff between robustarima versions 0.2.5 dated 2017-02-23 and 0.2.6 dated 2021-04-30

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Package R.cache updated to version 0.15.0 with previous version 0.14.0 dated 2019-12-06

Title: Fast and Light-Weight Caching (Memoization) of Objects and Results to Speed Up Computations
Description: Memoization can be used to speed up repetitive and computational expensive function calls. The first time a function that implements memoization is called the results are stored in a cache memory. The next time the function is called with the same set of parameters, the results are momentarily retrieved from the cache avoiding repeating the calculations. With this package, any R object can be cached in a key-value storage where the key can be an arbitrary set of R objects. The cache memory is persistent (on the file system).
Author: Henrik Bengtsson [aut, cre, cph]
Maintainer: Henrik Bengtsson <henrikb@braju.com>

Diff between R.cache versions 0.14.0 dated 2019-12-06 and 0.15.0 dated 2021-04-30

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Package naijR updated to version 0.2.2 with previous version 0.2.1 dated 2021-04-25

Title: Operations to Ease Data Analyses Specific to Nigeria
Description: A set of convenience functions as well as geographical/political data about Nigeria, aimed at simplifying work with data and information that are specific to the country.
Author: Victor Ordu [aut, cre] (<https://orcid.org/0000-0003-3716-0668>)
Maintainer: Victor Ordu <victorordu@outlook.com>

Diff between naijR versions 0.2.1 dated 2021-04-25 and 0.2.2 dated 2021-04-30

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Package gemtc updated to version 1.0-0 with previous version 0.8-8 dated 2020-11-29

Title: Network Meta-Analysis Using Bayesian Methods
Description: Network meta-analyses (mixed treatment comparisons) in the Bayesian framework using JAGS. Includes methods to assess heterogeneity and inconsistency, and a number of standard visualizations. van Valkenhoef et al. (2012) <doi:10.1002/jrsm.1054>; van Valkenhoef et al. (2015) <doi:10.1002/jrsm.1167>.
Author: Gert van Valkenhoef, Joel Kuiper
Maintainer: Gert van Valkenhoef <gert@gertvv.nl>

Diff between gemtc versions 0.8-8 dated 2020-11-29 and 1.0-0 dated 2021-04-30

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Package DBfit updated to version 2.0 with previous version 1.0 dated 2018-10-24

Title: A Double Bootstrap Method for Analyzing Linear Models with Autoregressive Errors
Description: Computes the double bootstrap as discussed in McKnight, McKean, and Huitema (2000) <doi:10.1037/1082-989X.5.1.87>. The double bootstrap method provides a better fit for a linear model with autoregressive errors than ARIMA when the sample size is small.
Author: Joseph W. McKean and Shaofeng Zhang
Maintainer: Shaofeng Zhang <shaofeng.zhang@wmich.edu>

Diff between DBfit versions 1.0 dated 2018-10-24 and 2.0 dated 2021-04-30

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Package Rquefts updated to version 1.2-1 with previous version 1.0-7 dated 2020-03-13

Title: Quantitative Evaluation of the Native Fertility of Tropical Soils
Description: An implementation of the QUEFTS (Quantitative Evaluation of the Native Fertility of Tropical Soils) model. The model (1) estimates native nutrient (N, P, K) supply of soils from a few soil chemical properties; and (2) computes crop yield given that supply, crop parameters, fertilizer application, and crop attainable yield. See Janssen et al. (1990) <doi:10.1016/0016-7061(90)90021-Z> for the technical details and Sattari et al. (2014) <doi:10.1016/j.fcr.2013.12.005> for a recent evaluation and improvements.
Author: Robert J. Hijmans [cre, aut], Pieter Pypers [ctb], Joost Wolff [ctb]
Maintainer: Robert J. Hijmans <r.hijmans@gmail.com>

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Package processx updated to version 3.5.2 with previous version 3.5.1 dated 2021-04-04

Title: Execute and Control System Processes
Description: Tools to run system processes in the background. It can check if a background process is running; wait on a background process to finish; get the exit status of finished processes; kill background processes. It can read the standard output and error of the processes, using non-blocking connections. 'processx' can poll a process for standard output or error, with a timeout. It can also poll several processes at once.
Author: Gábor Csárdi [aut, cre, cph] (<https://orcid.org/0000-0001-7098-9676>), Winston Chang [aut], RStudio [cph, fnd], Mango Solutions [cph, fnd]
Maintainer: Gábor Csárdi <csardi.gabor@gmail.com>

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Package eha updated to version 2.9.0 with previous version 2.8.5 dated 2021-01-12

Title: Event History Analysis
Description: Parametric proportional hazards fitting with left truncation and right censoring for common families of distributions, piecewise constant hazards, and discrete models. Parametric accelerated failure time models for left truncated and right censored data. Proportional hazards models for tabular and register data. Sampling of risk sets in Cox regression, selections in the Lexis diagram, bootstrapping. Broström (2012) <doi:10.1201/9781315373942>.
Author: Göran Broström [aut, cre], Jianming Jin [ctb]
Maintainer: Göran Broström <goran.brostrom@umu.se>

Diff between eha versions 2.8.5 dated 2021-01-12 and 2.9.0 dated 2021-04-30

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Package parallelly updated to version 1.25.0 with previous version 1.24.0 dated 2021-03-14

Title: Enhancing the 'parallel' Package
Description: Utility functions that enhance the 'parallel' package and support the built-in parallel backends of the 'future' package. For example, availableCores() gives the number of CPU cores available to your R process as given by the operating system, 'cgroups' and Linux containers, R options, and environment variables, including those set by job schedulers on high-performance compute clusters. If none is set, it will fall back to parallel::detectCores(). Another example is makeClusterPSOCK(), which is backward compatible with parallel::makePSOCKcluster() while doing a better job in setting up remote cluster workers without the need for configuring the firewall to do port-forwarding to your local computer.
Author: Henrik Bengtsson [aut, cre, cph]
Maintainer: Henrik Bengtsson <henrikb@braju.com>

Diff between parallelly versions 1.24.0 dated 2021-03-14 and 1.25.0 dated 2021-04-30

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Package openssl updated to version 1.4.4 with previous version 1.4.3 dated 2020-09-18

Title: Toolkit for Encryption, Signatures and Certificates Based on OpenSSL
Description: Bindings to OpenSSL libssl and libcrypto, plus custom SSH key parsers. Supports RSA, DSA and EC curves P-256, P-384, P-521, and curve25519. Cryptographic signatures can either be created and verified manually or via x509 certificates. AES can be used in cbc, ctr or gcm mode for symmetric encryption; RSA for asymmetric (public key) encryption or EC for Diffie Hellman. High-level envelope functions combine RSA and AES for encrypting arbitrary sized data. Other utilities include key generators, hash functions (md5, sha1, sha256, etc), base64 encoder, a secure random number generator, and 'bignum' math methods for manually performing crypto calculations on large multibyte integers.
Author: Jeroen Ooms [aut, cre] (<https://orcid.org/0000-0002-4035-0289>), Oliver Keyes [ctb]
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>

Diff between openssl versions 1.4.3 dated 2020-09-18 and 1.4.4 dated 2021-04-30

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Package adagio updated to version 0.8.4 with previous version 0.7.1 dated 2018-05-17

Title: Discrete and Global Optimization Routines
Description: The R package 'adagio' will provide methods and algorithms for discrete optimization, e.g. knapsack and subset sum procedures, derivative-free Nelder-Mead and Hooke-Jeeves minimization, and some (evolutionary) global optimization functions.
Author: Hans W. Borchers [aut, cre]
Maintainer: Hans W. Borchers <hwborchers@googlemail.com>

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Package xROI updated to version 0.9.19 with previous version 0.9.18 dated 2021-04-20

Title: Delineate Region of Interests (ROI's) and Extract Time-Series Data from Digital Repeat Photography Images
Description: Digital repeat photography and near-surface remote sensing have been used by environmental scientists to study the environmental change for nearly a decade. However, a user-friendly, reliable, and robust platform to extract color-based statistics and time-series from a large stack of images is still lacking. Here, we present an interactive open-source toolkit, called 'xROI', that facilitate the process time-series extraction and improve the quality of the final data. 'xROI' provides a responsive environment for scientists to interactively a) delineate regions of interest (ROI), b) handle field of view (FOV) shifts, and c) extract and export time series data characterizing image color (i.e. red, green and blue channel digital numbers for the defined ROI). Using 'xROI', user can detect FOV shifts without minimal difficulty. The software gives user the opportunity to readjust the mask files or redraw new ones every time an FOV shift occurs. 'xROI' helps to significantly improve data accuracy and continuity.
Author: Bijan Seyednasrollah, Thomas Milliman, Andrew D. Richardson
Maintainer: Bijan Seyednasrollah <bijan.s.nasr@gmail.com>

Diff between xROI versions 0.9.18 dated 2021-04-20 and 0.9.19 dated 2021-04-30

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Package gllvm updated to version 1.3.0 with previous version 1.2.3 dated 2020-12-11

Title: Generalized Linear Latent Variable Models
Description: Analysis of multivariate data using generalized linear latent variable models (gllvm). Estimation is performed using either Laplace approximation method or variational approximation method implemented via TMB (Kristensen et al., (2016), <doi:10.18637/jss.v070.i05>). For details see Niku et al. (2019a) <doi:10.1371/journal.pone.0216129> and Niku et al. (2019b) <doi:10.1111/2041-210X.13303>.
Author: Jenni Niku [aut, cre], Wesley Brooks [aut], Riki Herliansyah [aut], Francis K.C. Hui [aut], Sara Taskinen [aut], David I. Warton [aut], Bert van der Veen [aut]
Maintainer: Jenni Niku <jenni.m.e.niku@jyu.fi>

Diff between gllvm versions 1.2.3 dated 2020-12-11 and 1.3.0 dated 2021-04-30

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Package benford updated to version 0.2.0 with previous version 0.1.0 dated 2021-02-07

Title: Benford's Analysis on Large Data Sets
Description: Perform the Benford's Analysis to a data set in order to evaluate if it contains human fabricated data. For more details on the method see Moreau, 2021, Model Assist. Statist. Appl., in press.
Author: Vitor Hugo Moreau
Maintainer: Vitor Hugo Moreau <vitorhmc@ufba.br>

Diff between benford versions 0.1.0 dated 2021-02-07 and 0.2.0 dated 2021-04-30

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Package ARPobservation updated to version 1.2.1 with previous version 1.2.0 dated 2019-06-20

Title: Tools for Simulating Direct Behavioral Observation Recording Procedures Based on Alternating Renewal Processes
Description: Tools for simulating data generated by direct observation recording. Behavior streams are simulated based on an alternating renewal process, given specified distributions of event durations and interim times. Different procedures for recording data can then be applied to the simulated behavior streams. Functions are provided for the following recording methods: continuous duration recording, event counting, momentary time sampling, partial interval recording, whole interval recording, and augmented interval recording.
Author: James E. Pustejovsky, with contributions from Daniel M. Swan
Maintainer: James E. Pustejovsky <jepusto@gmail.com>

Diff between ARPobservation versions 1.2.0 dated 2019-06-20 and 1.2.1 dated 2021-04-30

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Package SingleCaseES updated to version 0.4.4 with previous version 0.4.3 dated 2019-08-29

Title: A Calculator for Single-Case Effect Sizes
Description: Provides R functions for calculating basic effect size indices for single-case designs, including several non-overlap measures and parametric effect size measures, and for estimating the gradual effects model developed by Swan and Pustejovsky (2018) <DOI:10.1080/00273171.2018.1466681>. Standard errors and confidence intervals (based on the assumption that the outcome measurements are mutually independent) are provided for the subset of effect sizes indices with known sampling distributions.
Author: James E. Pustejovsky [aut, cre], Daniel M. Swan [aut]
Maintainer: James E. Pustejovsky <jepusto@gmail.com>

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Package secr updated to version 4.4.1 with previous version 4.3.3 dated 2020-12-11

Title: Spatially Explicit Capture-Recapture
Description: Functions to estimate the density and size of a spatially distributed animal population sampled with an array of passive detectors, such as traps, or by searching polygons or transects. Models incorporating distance-dependent detection are fitted by maximizing the likelihood. Tools are included for data manipulation and model selection.
Author: Murray Efford
Maintainer: Murray Efford <murray.efford@otago.ac.nz>

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Package mongolite updated to version 2.3.1 with previous version 2.3.0 dated 2021-01-19

Title: Fast and Simple 'MongoDB' Client for R
Description: High-performance MongoDB client based on 'mongo-c-driver' and 'jsonlite'. Includes support for aggregation, indexing, map-reduce, streaming, encryption, enterprise authentication, and GridFS. The online user manual provides an overview of the available methods in the package: <https://jeroen.github.io/mongolite/>.
Author: Jeroen Ooms [aut, cre] (<https://orcid.org/0000-0002-4035-0289>), MongoDB, Inc [cph] (Bundled mongo-c-driver, see AUTHORS file)
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>

Diff between mongolite versions 2.3.0 dated 2021-01-19 and 2.3.1 dated 2021-04-30

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Package ecosim updated to version 1.3-2 with previous version 1.3-1 dated 2019-02-22

Title: Toolbox for Aquatic Ecosystem Modeling
Description: Classes and methods for implementing aquatic ecosystem models, for running these models, and for visualizing their results.
Author: Peter Reichert
Maintainer: Peter Reichert <peter.reichert@eawag.ch>

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Package dslabs updated to version 0.7.4 with previous version 0.7.3 dated 2019-12-13

Title: Data Science Labs
Description: Datasets and functions that can be used for data analysis practice, homework and projects in data science courses and workshops. 26 datasets are available for case studies in data visualization, statistical inference, modeling, linear regression, data wrangling and machine learning.
Author: Rafael A. Irizarry, Amy Gill
Maintainer: Rafael A. Irizarry <rafael_irizarry@dfci.harvard.edu>

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New package TCIU with initial version 1.2.0
Package: TCIU
Title: Spacekime Analytics, Time Complexity and Inferential Uncertainty
Version: 1.2.0
Authors@R: c(person("Yongkai", "Qiu", role = "aut", email = "yongkai@umich.edu"), person("Zhe", "Yin", role = "aut"), person("Jinwen", "Cao", role = "aut"), person("Yupeng", "Zhang", role = "aut"), person("Yuyao", "Liu", role = "aut"), person("Rongqian", "Zhang", role = "aut"), person("Rouben", "Rostamian", role = "ctb"), person("Ranjan", "Maitra", role = "ctb"), person("Daniel", "Rowe", role = "ctb"), person("Daniel", "Adrian", role = "ctb", comment = "gLRT method for complex-valued fMRI statistics"), person("Yunjie", "Guo", role = c("aut", "cre"), email = "jerryguo@umich.edu"), person("Ivo","Dinov", role = "aut", email = "statistics@umich.edu"))
URL: https://github.com/SOCR/TCIU, https://spacekime.org, https://tciu.predictive.space
BugReports: https://github.com/SOCR/TCIU/issues
Description: Provide the core functionality to transform longitudinal data to complex-time (kime) data using analytic and numerical techniques, visualize the original time-series and reconstructed kime-surfaces, perform model based (e.g., tensor-linear regression) and model-free classification and clustering methods in the book Dinov, ID and Velev, MV. (2021) "Data Science: Time Complexity, Inferential Uncertainty, and Spacekime Analytics", De Gruyter STEM Series, ISBN 978-3-11-069780-3. <https://www.degruyter.com/view/title/576646>. The package includes 18 core functions which can be separated into three groups. 1) draw longitudinal data, such as fMRI time-series, and forecast or transform the time-series data. 2) simulate real-valued time-series data, e.g., fMRI time-courses, detect the activated areas, report the corresponding p-values, and visualize the p-values in the 3D brain space. 3) Laplace transform and kimesurface reconstructions of the fMRI data.
Depends: R (>= 3.5.0)
Imports: stats, ggplot2, dplyr, tidyr, RColorBrewer, fancycut, scales, plotly, gridExtra, ggpubr, ICSNP, AnalyzeFMRI, rrcov, geometry, DT, forecast, fmri, pracma, zoo, extraDistr, parallel, foreach, spatstat.core, spatstat.geom, cubature, doParallel, reshape2, MultiwayRegression
Suggests: oro.nifti, magrittr, knitr, rmarkdown, webshot
License: GPL-3
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
NeedsCompilation: yes
SystemRequirements: GNU make
Packaged: 2021-04-30 12:01:05 UTC; gyj99
Author: Yongkai Qiu [aut], Zhe Yin [aut], Jinwen Cao [aut], Yupeng Zhang [aut], Yuyao Liu [aut], Rongqian Zhang [aut], Rouben Rostamian [ctb], Ranjan Maitra [ctb], Daniel Rowe [ctb], Daniel Adrian [ctb] (gLRT method for complex-valued fMRI statistics), Yunjie Guo [aut, cre], Ivo Dinov [aut]
Maintainer: Yunjie Guo <jerryguo@umich.edu>
Repository: CRAN
Date/Publication: 2021-04-30 15:10:03 UTC

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Package anim.plots updated to version 0.2.2 with previous version 0.2.1 dated 2019-05-16

Title: Simple Animated Plots for R
Description: Simple animated versions of basic R plots, using the 'animation' package. Includes animated versions of plot, barplot, persp, contour, filled.contour, hist, curve, points, lines, text, symbols, segments, and arrows.
Author: David Hugh-Jones <davidhughjones@gmail.com>
Maintainer: David Hugh-Jones <davidhughjones@gmail.com>

Diff between anim.plots versions 0.2.1 dated 2019-05-16 and 0.2.2 dated 2021-04-30

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Package simplevis updated to version 3.0.0 with previous version 2.6.0 dated 2021-04-09

Title: Make 'ggplot2' and 'leaflet' Visualisation Easier
Description: Wrapper functions to make 'ggplot2' and 'leaflet' visualisation easier.
Author: David Hodge [aut, cre] (<https://orcid.org/0000-0002-3868-7501>), Statistics New Zealand [cph]
Maintainer: David Hodge <davidhodge931@gmail.com>

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Package curl updated to version 4.3.1 with previous version 4.3 dated 2019-12-02

Title: A Modern and Flexible Web Client for R
Description: The curl() and curl_download() functions provide highly configurable drop-in replacements for base url() and download.file() with better performance, support for encryption (https, ftps), gzip compression, authentication, and other 'libcurl' goodies. The core of the package implements a framework for performing fully customized requests where data can be processed either in memory, on disk, or streaming via the callback or connection interfaces. Some knowledge of 'libcurl' is recommended; for a more-user-friendly web client see the 'httr' package which builds on this package with http specific tools and logic.
Author: Jeroen Ooms [aut, cre] (<https://orcid.org/0000-0002-4035-0289>), Hadley Wickham [ctb], RStudio [cph]
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>

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New package BuildSys with initial version 1.0.9
Package: BuildSys
Title: System for Building and Debugging C/C++ Dynamic Libraries
Version: 1.0.9
Date: 2021-04-21
Authors@R: c(person("Paavo","Jumppanen",role=c("aut","cre"),email="paavo.jumppanen@csiro.au"))
Maintainer: Paavo Jumppanen <paavo.jumppanen@csiro.au>
Author: Paavo Jumppanen [aut, cre]
Copyright: CSIRO Marine and Atmospheric Research
Description: A build system based on 'GNU make' that creates and maintains (simply) make files in an R session and provides GUI debugging support through 'Microsoft Visual Code'.
License: GPL-2
URL: https://github.com/pjumppanen/BuildSys
BugReports: https://github.com/pjumppanen/BuildSys/issues
Imports: methods, digest
SystemRequirements: 'Microsoft Visual Code', 'Rtools' on 'Windows', 'gdb' or 'lldb' depending on which OS
NeedsCompilation: no
Packaged: 2021-04-30 06:10:49 UTC; paavo
Repository: CRAN
Date/Publication: 2021-04-30 13:20:02 UTC

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New package Rcompadre with initial version 1.0.0
Package: Rcompadre
Title: Utilities for using the 'COM(P)ADRE' Matrix Model Database
Version: 1.0.0
Authors@R: c( person(given = "Patrick", family = "Barks", email = "barks@biology.sdu.dk", role = "aut", comment = c(ORCID = "0000-0002-5947-8151")), person(given = "Danny", family = "Buss", email = "dlb50@cam.ac.uk", role = "aut"), person(given = "Roberto", family = "Salguero-Gomez", email = "rob.salguero@zoo.ox.ac.uk", role = "aut", comment = c(ORCID = "0000-0002-6085-4433")), person(given = "Iain", family = "Stott", email = "stott@biology.sdu.dk", role = "aut", comment = c(ORCID = "0000-0003-2724-7436")), person(given = "William K.", family = "Petry", email = "wpetry@ncsu.edu", role = "aut", comment = c(ORCID = "0000-0002-5230-5987")), person(given = "Tamora", family = "James", email = "tamoradjames@protonmail.com", role = "aut", comment = c(ORCID = "0000-0003-1363-4742")), person(given = "Owen", family = "Jones", email = "jones@biology.sdu.dk", role = c("aut", "cre"), comment = c(ORCID = "0000-0001-5720-4686")), person(given = "Julia", family = "Jones", email = "juagjones@gmail.com", role = "aut", comment = c(ORCID = "0000-0001-9223-1778")), person(given = "Gesa", family = "Römer", email = "gesa@biology.sdu.dk", role = "aut", comment = c(ORCID = "0000-0002-4859-5870")), person(given = "Sam", family = "Levin", role = "aut", email = "levisc8@gmail.com", comment = c(ORCID = "0000-0002-3289-9925")))
Description: Utility functions for interacting with the 'COMPADRE' and 'COMADRE' databases of matrix population models. Described in Jones et al. (2021) <doi:10.1101/2021.04.26.441330>.
License: GPL-3
URL: https://github.com/jonesor/Rcompadre
BugReports: https://github.com/jonesor/Rcompadre/issues
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10)
Imports: methods, popdemo, tibble
Suggests: spelling, knitr, rmarkdown, testthat, popbio, ggplot2, maps, dplyr, ggtern, covr, rcrossref
VignetteBuilder: knitr
Collate: 'CompadreDB.R' 'CompadreDB-Methods.R' 'CompadreDB-Subsetting.R' 'CompadreDB-Tidyverse.R' 'CompadreMat.R' 'ClassUnionMethods.R' 'cdb_check_species.R' 'cdb_collapse.R' 'cdb_compare.R' 'cdb_fetch.R' 'cdb_flag.R' 'cdb_flatten.R' 'cdb_id.R' 'cdb_id_stages.R' 'cdb_id_studies.R' 'cdb_mean_matF.R' 'cdb_metadata.R' 'cdb_rbind.R' 'cdb_unflatten.R' 'cdb_unnest.R' 'data.R' 'mpm_mean.R' 'mpm_methods.R' 'string_representation.R' 'zzz.R'
Language: en-GB
Config/testthat/parallel: true
NeedsCompilation: no
Packaged: 2021-04-29 21:55:05 UTC; jones
Author: Patrick Barks [aut] (<https://orcid.org/0000-0002-5947-8151>), Danny Buss [aut], Roberto Salguero-Gomez [aut] (<https://orcid.org/0000-0002-6085-4433>), Iain Stott [aut] (<https://orcid.org/0000-0003-2724-7436>), William K. Petry [aut] (<https://orcid.org/0000-0002-5230-5987>), Tamora James [aut] (<https://orcid.org/0000-0003-1363-4742>), Owen Jones [aut, cre] (<https://orcid.org/0000-0001-5720-4686>), Julia Jones [aut] (<https://orcid.org/0000-0001-9223-1778>), Gesa Römer [aut] (<https://orcid.org/0000-0002-4859-5870>), Sam Levin [aut] (<https://orcid.org/0000-0002-3289-9925>)
Maintainer: Owen Jones <jones@biology.sdu.dk>
Repository: CRAN
Date/Publication: 2021-04-30 12:40:02 UTC

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New package rbioapi with initial version 0.7.0
Package: rbioapi
Title: User-Friendly R Interface to Biologic Web Services' API
Version: 0.7.0
Authors@R: person(given = "Moosa", family = "Rezwani", role = c("aut", "cre", "cph"), email = "moosa.rezwani@gmail.com")
Description: Currently fully supports miEAA, PANTHER, Reactome, STRING, and UniProt! The goal of rbioapi is to provide a user-friendly and consistent interface to biological databases and services; It is designed in a way that insulates the user from technicalities when it comes to using API services and creates a unified and easy-to-implement tool to connect to biological databases and services. With rbioapi, You are not required to have any prior technical knowledge. Just fill in a function's arguments and the rest is handled for you. This an ongoing project. New databases and services will be implemented periodically to gradually make rbioapi more comprehensive. Feel free to suggest any databases or services you often use.
License: GPL-3
URL: https://github.com/moosa-r/rbioapi
BugReports: https://github.com/moosa-r/rbioapi/issues
Imports: httr, jsonlite, utils
Suggests: DT, knitr, png, rmarkdown
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2021-04-29 19:08:53 UTC; moosa
Author: Moosa Rezwani [aut, cre, cph]
Maintainer: Moosa Rezwani <moosa.rezwani@gmail.com>
Repository: CRAN
Date/Publication: 2021-04-30 12:30:03 UTC

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New package purgeR with initial version 1.0
Package: purgeR
Title: Inbreeding-Purging Estimation in Pedigreed Populations
Version: 1.0
Date: 2021-04-29
Authors@R: c( person("Eugenio", "López-Cortegano", email = "elcortegano@gmail.com", role = c("aut", "cre")))
Description: Inbreeding-purging analysis of pedigreed populations, including the computation of the inbreeding coefficient, partial, ancestral and purged inbreeding coefficients, and measures of the opportunity of purging related to the individual reduction of inbreeding load. In addition, functions to calculate the effective population size and other parameters relevant to population genetics are included. Caballero A. and Toro M.A. (2000) <doi:10.1017/s0016672399004449>. García-Dorado A., Wang J. and López-Cortegano E. (2016) <doi:10.1534/g3.116.032425>. Gulisija D. and Crow J.F. (2007) <doi:10.1111/j.1558-5646.2007.00088.x>. Gutiérrez J.P., Cervantes I., Goyache F. (2009) <doi:10.1111/j.1439-0388.2009.00810.x>. López-Cortegano E., Bersabé D., Wang J., García-Dorado A. (2018) <doi:10.1038/s41437-017-0045-y>.
URL: https://gitlab.com/elcortegano/purgeR/
BugReports: https://gitlab.com/elcortegano/purgeR/-/issues/
Encoding: UTF-8
License: GPL-2
Depends: R (>= 3.5.0)
Imports: doSNOW (>= 1.0.19), foreach (>= 1.5.1), parallel, progress (>= 1.2.2), Rcpp (>= 1.0.5), RcppProgress (>= 0.4.2)
LinkingTo: Rcpp, RcppProgress
Suggests: caret (>= 6.0-86), coda (>= 0.19-4), dplyr (>= 1.0.0), e1071 (>= 1.7-4), ggplot2 (>= 3.3.1), glmnet (>= 4.0-2), gtable (>= 0.3.0), knitr (>= 1.28), magrittr (>= 1.5), pander (>= 0.6.3), plyr (>= 1.8.6), purrr (>= 0.3.4), rmarkdown (>= 2.2), scales (>= 1.1.1), stringr (>= 1.4.0), testthat (>= 2.3.2), tibble (>= 3.0.1), tidyr (>= 1.1.0), tidyselect (>= 1.1.0)
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: yes
Packaged: 2021-04-29 16:58:04 UTC; elcortegano
Author: Eugenio López-Cortegano [aut, cre]
Maintainer: Eugenio López-Cortegano <elcortegano@gmail.com>
Repository: CRAN
Date/Publication: 2021-04-30 12:10:02 UTC

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New package mapbayr with initial version 0.4.1
Package: mapbayr
Title: MAP-Bayesian Estimation of PK Parameters
Version: 0.4.1
Authors@R: person(given = "Felicien", family = "Le Louedec", role = c("aut", "cre"), email = "lelouedec.felicien@iuct-oncopole.fr", comment = c(ORCID = "0000-0003-3699-2729"))
Description: Performs maximum a posteriori Bayesian estimation of individual pharmacokinetic parameters from a model defined in `mrgsolve`, typically for model-based therapeutic drug monitoring. Internally computes an objective function value from model and data, performs optimization and returns predictions in a convenient format.
License: GPL-3
Encoding: UTF-8
Imports: dplyr, ggplot2, magrittr, mrgsolve (>= 0.10.9), optimx, purrr, rlang, stats, stringr, tibble, tidyr
URL: https://github.com/FelicienLL/mapbayr
BugReports: https://github.com/FelicienLL/mapbayr/issues
Suggests: knitr
NeedsCompilation: no
Packaged: 2021-04-29 17:11:44 UTC; le_louedec
Author: Felicien Le Louedec [aut, cre] (<https://orcid.org/0000-0003-3699-2729>)
Maintainer: Felicien Le Louedec <lelouedec.felicien@iuct-oncopole.fr>
Repository: CRAN
Date/Publication: 2021-04-30 12:20:03 UTC

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New package dbd with initial version 0.0-8
Package: dbd
Version: 0.0-8
Date: 2021-04-30
Title: Versatile Discrete Distributions
Author: Rolf Turner <r.turner@auckland.ac.nz>
Maintainer: Rolf Turner <r.turner@auckland.ac.nz>
Description: Tools for working with a new family of versatile discrete distributions, the db ("discretised Beta") family. This package provides density (probability), distribution, inverse distribution (quantile) and random data generation functions for the db family. It provides functions to effect conveniently maximum likelihood estimation of parameters, and a variety of useful plotting functions. It provides goodness of fit tests and functions to calculate the Fisher information, different estimates of the hessian of the log likelihood and Monte Carlo estimation of the covariance matrix of the maximum likelihood parameter estimates.
Depends: R (>= 3.2.2)
Suggests: hmm.discnp, MASS
LazyData: true
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2021-04-30 01:59:58 UTC; rolf
Repository: CRAN
Date/Publication: 2021-04-30 12:50:03 UTC

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Package webfakes updated to version 1.1.3 with previous version 1.1.2 dated 2021-04-05

Title: Fake Web Apps for HTTP Testing
Description: Create a web app that makes it easier to test web clients without using the internet. It includes a web app framework with path matching, parameters and templates. Can parse various 'HTTP' request bodies. Can send 'JSON' data or files from the disk. Includes a web app that implements the <https://httpbin.org> web service.
Author: Gábor Csárdi [aut, cre], RStudio, Pbc. [cph], Civetweb contributors [ctb] (see inst/credits/ciwetweb.md), Redoc contributors [ctb] (see inst/credits/redoc.md), L. Peter Deutsch [ctb] (src/md5.h), Martin Purschke [ctb] (src/md5.h), Aladdin Enterprises [cph] (src/md5.h), Maëlle Salmon [ctb] (<https://orcid.org/0000-0002-2815-0399>)
Maintainer: Gábor Csárdi <csardi.gabor@gmail.com>

Diff between webfakes versions 1.1.2 dated 2021-04-05 and 1.1.3 dated 2021-04-30

 DESCRIPTION |    6 ++---
 MD5         |    6 ++---
 NEWS.md     |    5 ++++
 src/rweb.c  |   70 +++++++++++++++++++++++++++++++++---------------------------
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Package gplite updated to version 0.12.0 with previous version 0.11.1 dated 2021-01-28

Title: Implementation for the Most Common Gaussian Process Models
Description: Implements the most common Gaussian process (GP) models using Laplace and expectation propagation (EP) approximations, maximum marginal likelihood (or posterior) inference for the hyperparameters, and sparse approximations for larger datasets.
Author: Juho Piironen [cre, aut]
Maintainer: Juho Piironen <juho.t.piironen@gmail.com>

Diff between gplite versions 0.11.1 dated 2021-01-28 and 0.12.0 dated 2021-04-30

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 R/misc.R                 |    2 -
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 README.md                |   30 +++++++++++++++++++++----
 inst/doc/quickstart.R    |   25 +++++++++++----------
 inst/doc/quickstart.Rmd  |   25 +++++++++++----------
 inst/doc/quickstart.html |   47 +++++++++++++++++++++-------------------
 man/approx.Rd            |    4 ++-
 man/gp_loo.Rd            |    9 +++++--
 man/gp_optim.Rd          |    7 +++++
 man/priors.Rd            |   10 ++++++--
 vignettes/quickstart.Rmd |   25 +++++++++++----------
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Package terra updated to version 1.2-5 with previous version 1.1-17 dated 2021-04-14

Title: Spatial Data Analysis
Description: Methods for spatial data analysis with raster and vector data. Raster methods allow for low-level data manipulation as well as high-level global, local, zonal, and focal computation. The predict and interpolate methods facilitate the use of regression type (interpolation, machine learning) models for spatial prediction, including with satellite remote sensing data. Processing of very large files is supported. See the manual and tutorials on <https://rspatial.org/terra/> to get started. 'terra' is very similar to the 'raster' package; but 'terra' can do more, is simpler to use, and it is faster.
Author: Robert J. Hijmans [cre, aut] (<https://orcid.org/0000-0001-5872-2872>), Roger Bivand [ctb] (<https://orcid.org/0000-0003-2392-6140>), Karl Forner [ctb], Jeroen Ooms [ctb] (<https://orcid.org/0000-0002-4035-0289>), Edzer Pebesma [ctb] (<https://orcid.org/0000-0001-8049-7069>)
Maintainer: Robert J. Hijmans <r.hijmans@gmail.com>

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Package splusTimeSeries updated to version 1.5.2 with previous version 1.5.0-75 dated 2018-05-29

Title: Time Series from S-PLUS
Description: A collection of classes and methods for working with time series. The code was originally available in S-PLUS.
Author: Stephen Kaluzny [aut, cre], TIBCO Software Inc. [aut, cph]
Maintainer: Stephen Kaluzny <spkaluzny@gmail.com>

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Package SoilTaxonomy updated to version 0.1.2 with previous version 0.1 dated 2021-02-25

Title: A System of Soil Classification for Making and Interpreting Soil Surveys
Description: Taxonomic dictionaries, formative element lists, and functions related to the maintenance, development and application of U.S. Soil Taxonomy. Data and functionality are based on official U.S. Department of Agriculture sources including the latest edition of the Keys to Soil Taxonomy. Descriptions and metadata are obtained from the National Soil Information System or Soil Survey Geographic databases. Other sources are referenced in the data documentation. Provides tools for understanding and interacting with concepts in the U.S. Soil Taxonomic System. Most of the current utilities are for working with taxonomic concepts at the "higher" taxonomic levels: Order, Suborder, Great Group, and Subgroup.
Author: Dylan Beaudette [aut], Andrew Brown [aut, cre]
Maintainer: Andrew Brown <andrew.g.brown@usda.gov>

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Package pivmet updated to version 0.4.0 with previous version 0.3.0 dated 2020-06-03

Title: Pivotal Methods for Bayesian Relabelling and k-Means Clustering
Description: Collection of pivotal algorithms for: relabelling the MCMC chains in order to undo the label switching problem in Bayesian mixture models, as proposed in Egidi, Pappadà, Pauli and Torelli (2018a)<doi:10.1007/s11222-017-9774-2>; initializing the centers of the classical k-means algorithm in order to obtain a better clustering solution. For further details see Egidi, Pappadà, Pauli and Torelli (2018b)<ISBN:9788891910233>.
Author: Leonardo Egidi[aut, cre], Roberta Pappadà[aut], Francesco Pauli[aut], Nicola Torelli[aut]
Maintainer: Leonardo Egidi <legidi@units.it>

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Package NADA2 updated to version 1.0.1 with previous version 1.0.0 dated 2021-02-24

Title: Data Analysis for Censored Environmental Data
Description: Contains methods described by Dennis Helsel in his book "Statistics for Censored Environmental Data using Minitab and R" (2011) and courses and videos at <https://practicalstats.com>. This package adds new functions to the `NADA` Package.
Author: Paul Julian [aut, cre], Dennis Helsel [aut, cph]
Maintainer: Paul Julian <pauljulianphd@gmail.com>

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Package influential updated to version 2.2.2 with previous version 2.2.1 dated 2021-04-24

Title: Identification and Classification of the Most Influential Nodes
Description: Contains functions for the classification and ranking of top candidate features, reconstruction of networks from adjacency matrices and data frames, analysis of the topology of the network and calculation of centrality measures, and identification of the most influential nodes. Also, a function is provided for running SIRIR model, which is the combination of leave-one-out cross validation technique and the conventional SIR model, on a network to unsupervisedly rank the true influence of vertices. Additionally, some functions have been provided for the assessment of dependence and correlation of two network centrality measures as well as the conditional probability of deviation from their corresponding means in opposite direction. Fred Viole and David Nawrocki (2013, ISBN:1490523995). Csardi G, Nepusz T (2006). "The igraph software package for complex network research." InterJournal, Complex Systems, 1695. Adopted algorithms and sources are referenced in function document.
Author: Adrian (Abbas) Salavaty [aut, cre], Mirana Ramialison [ths], Peter D. Currie [ths]
Maintainer: Adrian Salavaty <abbas.salavaty@gmail.com>

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Package gh updated to version 1.3.0 with previous version 1.2.1 dated 2021-04-01

Title: 'GitHub' 'API'
Description: Minimal client to access the 'GitHub' 'API'.
Author: Gábor Csárdi [cre, ctb], Jennifer Bryan [aut], Hadley Wickham [aut], RStudio [cph, fnd]
Maintainer: Gábor Csárdi <csardi.gabor@gmail.com>

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Package emayili updated to version 0.4.10 with previous version 0.4.8 dated 2021-03-29

Title: Send Email Messages
Description: A light, simple tool for sending emails with minimal dependencies.
Author: Andrew B. Collier [aut, cre], Matt Dennis [ctb], Gerard Walsh [ctb], Antoine Bichat [ctb] (<https://orcid.org/0000-0001-6599-7081>), Daniel Fahey [ctb], Johann R. Kleinbub [ctb], Panagiotis Moulos [ctb]
Maintainer: Andrew B. Collier <andrew.b.collier@gmail.com>

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Package traineR updated to version 1.6.1 with previous version 1.0.1 dated 2020-10-29

Title: Predictive Models Homologator
Description: Methods to unify the different ways of creating predictive models and their different predictive formats. It includes methods such as K-Nearest Neighbors, Decision Trees, ADA Boosting, Extreme Gradient Boosting, Random Forest, Neural Networks, Deep Learning, Support Vector Machines, Bayesian Methods, Linear Discriminant Analysis and Quadratic Discriminant Analysis, Logistic Regression, Penalized Logistic Regression.
Author: Oldemar Rodriguez R. [aut, cre], Andres Navarro D. [ctb, prg], Ariel Arroyo S. [ctb, prg]
Maintainer: Oldemar Rodriguez R. <oldemar.rodriguez@ucr.ac.cr>

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New package SunsVoc with initial version 0.1.2
Package: SunsVoc
Title: Constructing Suns-Voc from Outdoor Time-Series I-V Curves
Version: 0.1.2
Authors@R: c(person("Menghong", "Wang", email="mxw477@case.edu", role=c("aut"), comment = c(ORCID = "0000-0001-7349-699X")), person("Tyler J.", "Burleyson", email="tjb152@case.edu", role=c("aut","cre"), comment = c(ORCID = "0000-0002-6356-5354")), person("Jiqi", "Liu", email="jxl1763@case.edu", role=c("aut"), comment = c(ORCID = "0000-0003-2016-4160")), person("Alan J.", "Curran", email="ajc269@case.edu", role=c("aut"), comment = c(ORCID = "0000-0002-4505-8359")), person("Abdulkerim", "Gok", email="axg515@case.edu", role=c("aut","ctb"), comment = c(ORCID = "0000-0003-3433-7106")), person("Eric J.", "Schneller", email="eschneller@knights.ucf.edu", role=c("aut"), comment = c(ORCID = "0000-0002-2104-0066")), person("Kristopher O.", "Davis", email="Kristopher.Davis@ucf.edu", role=c("aut"), comment = c(ORCID = "0000-0002-5772-6254")), person("Jennifer L.", "Braid", email="jlb269@case.edu", role=c("aut"), comment = c(ORCID = "0000-0002-0677-7756")), person("Roger H.", "French", email="rxf131@case.edu", role=c("aut", "cph"), comment = c(ORCID = "0000-0002-6162-0532")))
Maintainer: Tyler J. Burleyson <tjb152@case.edu>
Description: Suns-Voc (or Isc-Voc) curves can provide the current-voltage (I-V) characteristics of the diode of photovoltaic cells without the effect of series resistance. Here, Suns-Voc curves can be constructed with outdoor time-series I-V curves [1,2,3] of full-size photovoltaic (PV) modules instead of having to be measured in the lab. Time series of four different power loss modes can be calculated based on obtained Isc-Voc curves. This material is based upon work supported by the U.S. Department of Energy's Office of Energy Efficiency and Renewable Energy (EERE) under Solar Energy Technologies Office (SETO) Agreement Number DE-EE0008172. Jennifer L. Braid is supported by the U.S. Department of Energy (DOE) Office of Energy Efficiency and Renewable Energy administered by the Oak Ridge Institute for Science and Education (ORISE) for the DOE. ORISE is managed by Oak Ridge Associated Universities (ORAU) under DOE contract number DE-SC0014664. [1] Wang, M. et al, 2018. <doi:10.1109/PVSC.2018.8547772>. [2] Walters et al, 2018 <doi:10.1109/PVSC.2018.8548187>. [3] Guo, S. et al, 2016. <doi:10.1117/12.2236939>.
License: BSD_3_clause + file LICENSE
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
Depends: R (>= 3.5.0)
Imports: ddiv, magrittr, stringr, dplyr, purrr, data.table, rlang
Suggests: testthat (>= 2.1.0), knitr, rmarkdown, ggplot2
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-04-29 15:48:04 UTC; tylerb
Author: Menghong Wang [aut] (<https://orcid.org/0000-0001-7349-699X>), Tyler J. Burleyson [aut, cre] (<https://orcid.org/0000-0002-6356-5354>), Jiqi Liu [aut] (<https://orcid.org/0000-0003-2016-4160>), Alan J. Curran [aut] (<https://orcid.org/0000-0002-4505-8359>), Abdulkerim Gok [aut, ctb] (<https://orcid.org/0000-0003-3433-7106>), Eric J. Schneller [aut] (<https://orcid.org/0000-0002-2104-0066>), Kristopher O. Davis [aut] (<https://orcid.org/0000-0002-5772-6254>), Jennifer L. Braid [aut] (<https://orcid.org/0000-0002-0677-7756>), Roger H. French [aut, cph] (<https://orcid.org/0000-0002-6162-0532>)
Repository: CRAN
Date/Publication: 2021-04-30 09:30:06 UTC

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Package flexpolyline updated to version 0.2.3 with previous version 0.2.2 dated 2021-04-20

Title: Flexible Polyline Encoding
Description: Binding to the C++ implementation of the flexible polyline encoding by HERE <https://github.com/heremaps/flexible-polyline>. The flexible polyline encoding is a lossy compressed representation of a list of coordinate pairs or coordinate triples. The encoding is achieved by: (1) Reducing the decimal digits of each value; (2) encoding only the offset from the previous point; (3) using variable length for each coordinate delta; and (4) using 64 URL-safe characters to display the result.
Author: Merlin Unterfinger [aut, cre] (<https://orcid.org/0000-0003-2020-2366>), HERE Europe B.V. [aut, cph] (Flexible polyline encoding C++ implementation)
Maintainer: Merlin Unterfinger <info@munterfinger.ch>

Diff between flexpolyline versions 0.2.2 dated 2021-04-20 and 0.2.3 dated 2021-04-30

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New package targets with initial version 0.4.2
Package: targets
Title: Dynamic Function-Oriented 'Make'-Like Declarative Workflows
Description: As a pipeline toolkit for Statistics and data science in R, the 'targets' package brings together function-oriented programming and 'Make'-like declarative workflows. It analyzes the dependency relationships among the tasks of a workflow, skips steps that are already up to date, runs the necessary computation with optional parallel workers, abstracts files as R objects, and provides tangible evidence that the results match the underlying code and data. The methodology in this package borrows from GNU 'Make' (2015, ISBN:978-9881443519) and 'drake' (2018, <doi:10.21105/joss.00550>).
Version: 0.4.2
License: MIT + file LICENSE
URL: https://docs.ropensci.org/targets/, https://github.com/ropensci/targets
BugReports: https://github.com/ropensci/targets/issues
Authors@R: c( person( given = c("William", "Michael"), family = "Landau", role = c("aut", "cre"), email = "will.landau@gmail.com", comment = c(ORCID = "0000-0003-1878-3253") ), person( given = c("Matthew", "T."), family = "Warkentin", role = "ctb" ), person( given = "Samantha", family = "Oliver", role = "rev", comment = c(ORCID = "0000-0001-5668-1165") ), person( given = "Tristan", family = "Mahr", role = "rev", comment = c(ORCID = "0000-0002-8890-5116") ), person( family = "Eli Lilly and Company", role = "cph" ))
Depends: R (>= 3.5.0)
Imports: callr (>= 3.4.3), cli (>= 2.0.2), codetools (>= 0.2.16), data.table (>= 1.12.8), digest (>= 0.6.25), igraph (>= 1.2.5), R6 (>= 2.4.1), rlang (>= 0.4.10), stats, tibble (>= 3.0.1), tidyselect (>= 1.1.0), utils, vctrs (>= 0.2.4), withr (>= 2.1.2), yaml (>= 2.2.1)
Suggests: arrow (>= 3.0.0), aws.s3 (>= 0.3.21), bs4Dash (>= 0.5.0), clustermq (>= 0.8.95.1), curl (>= 4.3), dplyr (>= 1.0.0), fst (>= 0.9.2), future (>= 1.19.1), future.callr (>= 0.6.0), gt (>= 0.2.2), keras (>= 2.2.5.0), knitr (>= 1.30), markdown (>= 1.1), rmarkdown (>= 2.4), pingr (>= 2.0.1), pkgload (>= 1.1.0), qs (>= 0.24.1), rstudioapi (>= 0.11), shiny (>= 1.5.0), shinybusy (>= 0.2.2), shinyWidgets (>= 0.5.4), testthat (>= 3.0.0), torch (>= 0.1.0), usethis (>= 1.6.3), visNetwork (>= 2.0.9)
Encoding: UTF-8
Language: en-US
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-04-25 16:46:22 UTC; c240390
Author: William Michael Landau [aut, cre] (<https://orcid.org/0000-0003-1878-3253>), Matthew T. Warkentin [ctb], Samantha Oliver [rev] (<https://orcid.org/0000-0001-5668-1165>), Tristan Mahr [rev] (<https://orcid.org/0000-0002-8890-5116>), Eli Lilly and Company [cph]
Maintainer: William Michael Landau <will.landau@gmail.com>
Repository: CRAN
Date/Publication: 2021-04-30 08:50:02 UTC

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Package mdatools updated to version 0.11.5 with previous version 0.11.4 dated 2021-04-23

Title: Multivariate Data Analysis for Chemometrics
Description: Projection based methods for preprocessing, exploring and analysis of multivariate data used in chemometrics. S. Kucheryavskiy (2020) <doi: 10.1016/j.chemolab.2020.103937>.
Author: Sergey Kucheryavskiy (<https://orcid.org/0000-0002-3145-7244>)
Maintainer: Sergey Kucheryavskiy <svkucheryavski@gmail.com>

Diff between mdatools versions 0.11.4 dated 2021-04-23 and 0.11.5 dated 2021-04-30

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Package betafunctions updated to version 1.5.0 with previous version 1.4.4 dated 2021-02-06

Title: Functions for Working with Two- And Four-Parameter Beta Probability Distributions
Description: Package providing a number of functions for working with Two- and Four-parameter Beta and closely related distributions (i.e., the Gamma and Binomial distributions), including parameterization in terms of moments, and fitting of Beta distributions to vectors of values. Also includes functions for estimating classification accuracy, diagnostic performance, and consistency, making use of what is generally known as the 'Livingston and Lewis approach' in the psychometric literature as the foundational method, which makes extensive use of the Beta distribution. A shiny app is available, providing a GUI for the Livingston and Lewis approach. For link, see documentation for the LL.CA() function. Livingston and Lewis (1995) <doi:10.1111/j.1745-3984.1995.tb00462.x>. Hanson (1991) <https://files.eric.ed.gov/fulltext/ED344945.pdf>. Tharwat (2020) <doi:10.1016/j.aci.2018.08.003>.
Author: Haakon Haakstad
Maintainer: Haakon Haakstad <h.t.haakstad@cemo.uio.no>

Diff between betafunctions versions 1.4.4 dated 2021-02-06 and 1.5.0 dated 2021-04-30

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Package atakrig updated to version 0.9.8 with previous version 0.9.7 dated 2020-09-28

Title: Area-to-Area Kriging
Description: Point-scale variogram deconvolution from irregular/regular spatial support according to Goovaerts, P., (2008) <doi: 10.1007/s11004-007-9129-1>; ordinary area-to-area (co)Kriging and area-to-point (co)Kriging.
Author: Maogui Hu [aut, cre], Yanwei Huang [ctb], Roger Bivand [ctb]
Maintainer: Maogui Hu <humg@lreis.ac.cn>

Diff between atakrig versions 0.9.7 dated 2020-09-28 and 0.9.8 dated 2021-04-30

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Package aopdata updated to version 0.2.2 with previous version 0.2.1 dated 2021-04-07

Title: Data from the 'Access to Opportunities Project (AOP)'
Description: Download data from the 'Access to Opportunities Project (AOP)'. The 'aopdata' package brings annual estimates of access to employment, health and education services by transport mode, as well as data on the spatial distribution of population, schools and health-care facilities at a fine spatial resolution for all cities included in the study. More info on the 'AOP' website <https://www.ipea.gov.br/acessooportunidades/en/>.
Author: Rafael H. M. Pereira [aut, cre] (<https://orcid.org/0000-0003-2125-7465>), Daniel Herszenhut [aut] (<https://orcid.org/0000-0001-8066-1105>), Marcus Saraiva [aut] (<https://orcid.org/0000-0001-6218-2338>), Ipea - Institue for Applied Economic Research [cph, fnd]
Maintainer: Rafael H. M. Pereira <rafa.pereira.br@gmail.com>

Diff between aopdata versions 0.2.1 dated 2021-04-07 and 0.2.2 dated 2021-04-30

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Package movecost updated to version 0.7 with previous version 0.6 dated 2021-04-03

Title: Calculation of Accumulated Cost Surface, Least-Cost Paths, and Least-Cost Corridors Related to Human Movement Across the Landscape
Description: Provides the facility to calculate non-isotropic accumulated cost surface, least-cost paths, and least-cost corridors using a number of human-movement-related cost functions that can be selected by the user. It just requires a Digital Terrain Model, a start location and (optionally) destination locations. See Alberti (2019) <doi:10.1016/j.softx.2019.100331>.
Author: Gianmarco Alberti [aut, cre]
Maintainer: Gianmarco Alberti <gianmarcoalberti@gmail.com>

Diff between movecost versions 0.6 dated 2021-04-03 and 0.7 dated 2021-04-30

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New package juicr with initial version 0.1
Package: juicr
Version: 0.1
Date: 2021-04-29
Title: Automated and Manual Extraction of Numerical Data from Scientific Images
Authors@R: person(given = "Marc J.", family = "Lajeunesse", role = c("aut", "cre"), email = "lajeunesse@usf.edu", comment = c(ORCID = "0000-0002-9678-2080"))
Description: Provides a GUI interface for automating data extraction from multiple images containing scatter and bar plots, semi-automated tools to tinker with extraction attempts, and a fully-loaded point-and-click manual extractor with image zoom, calibrator, and classifier. Also provides detailed and R-independent extraction reports as fully-embedded .html records.
Depends: R (>= 3.3.2)
biocViews:
Imports: XML, RCurl
SystemRequirements: Tcl/Tk toolkit (X11 Quarts for Mac)
VignetteBuilder: R.rsp
License: GPL (>= 2)
URL: http://lajeunesse.myweb.usf.edu/ https://github.com/mjlajeunesse/ https://www.youtube.com/c/LajeunesseLab/
Encoding: UTF-8
Suggests: EBImage, R.rsp
NeedsCompilation: no
Packaged: 2021-04-29 16:39:59 UTC; lajeunesse
Author: Marc J. Lajeunesse [aut, cre] (<https://orcid.org/0000-0002-9678-2080>)
Maintainer: Marc J. Lajeunesse <lajeunesse@usf.edu>
Repository: CRAN
Date/Publication: 2021-04-30 07:10:02 UTC

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New package himach with initial version 0.1.2
Package: himach
Title: High Mach Finds Routes for Supersonic Aircraft
Version: 0.1.2
Authors@R: c(person(given = "David", family = "Marsh", role = c("aut", "cre"), email = "david.marsh@eurocontrol.int"), person(family = "EUROCONTROL", role = c("fnd", "cph")))
Description: For supersonic aircraft, flying subsonic over land, High Mach finds the best route between airports. Allows for coastal buffer and potentially closed regions. Uses minimal model of aircraft performance: focus is on time saved versus subsonic flight, rather than vertical flight profile. For modelling and forecasting, not for planning your flight!
License: MIT + file LICENSE
URL: https://github.com/david6marsh/himach
BugReports: https://github.com/david6marsh/himach/issues
Depends: R (>= 3.5.0)
Imports: cppRouting, data.table, dplyr (>= 1.0.0), geosphere, ggplot2, lwgeom, s2, sf (>= 0.9-7), sp, tidyr
Suggests: airportr, cowplot, knitr, methods, purrr, progress, rmarkdown, rnaturalearthdata, scales, stringr, testthat, units, utils, viridis, covr
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
Language: en-GB
NeedsCompilation: no
Packaged: 2021-04-29 16:43:47 UTC; david
Author: David Marsh [aut, cre], EUROCONTROL [fnd, cph]
Maintainer: David Marsh <david.marsh@eurocontrol.int>
Repository: CRAN
Date/Publication: 2021-04-30 07:10:05 UTC

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Package gausscov updated to version 0.1.1 with previous version 0.1.0 dated 2021-03-28

Title: The Gaussian Covariate Method for Variable Selection
Description: Given the standard linear model the traditional way of deciding whether to include the jth covariate is to apply the F-test to decide whether the corresponding beta coefficient is zero. The Gaussian covariate method is completely different. The question as to whether the beta coefficient is or is not zero is replaced by the question as to whether the covariate is better or worse than i.i.d. Gaussian noise. The P-value for the covariate is the probability that Gaussian noise is better. Surprisingly this can be given exactly and it is the same a the P-value for the classical model based on the F-distribution. The Gaussian covariate P-value is model free, it is the same for any data set. Using the idea it is possible to do covariate selection for a small number of covariates 25 by considering all subsets. Post selection inference causes no problems as the P-values hold whatever the data. The idea extends to stepwise regression again with exact probabilities. In the simplest version the only parameter is a specified cut-off P-value which can be interpreted as the probability of a false positive being included in the final selection. For more information see the website below and the accompanying papers: L. Davies and L. Duembgen, "Covariate Selection Based on a Model-free Approach to Linear Regression with Exact Probabilities", 2020, <arXiv:1906.01990>. L. Davies, "Lasso, Knockoff and Gaussian covariates: A comparison", 2018, <arXiv:1807.09633>.
Author: Laurie Davies [aut, cre]
Maintainer: Laurie Davies <laurie.davies@uni-due.de>

Diff between gausscov versions 0.1.0 dated 2021-03-28 and 0.1.1 dated 2021-04-30

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New package zlog with initial version 1.0.0
Package: zlog
Title: Z(log) Transformation for Laboratory Measurements
Version: 1.0.0
Date: 2021-04-29
Description: Transformation of laboratory measurements into z or z(log)-value based on given or empirical reference limits as proposed in Hoffmann et al. 2017 <doi:10.1515/labmed-2016-0087>.
Authors@R: person(given = "Sebastian", family = "Gibb", email = "mail@sebastiangibb.de", role = c("aut", "cre"), comment = c(ORCID = "0000-0001-7406-4443"))
Maintainer: Sebastian Gibb <mail@sebastiangibb.de>
Depends: R (>= 3.6.0)
Suggests: kableExtra, knitr, rmarkdown, survival, testthat
License: GPL (>= 3)
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2021-04-29 14:49:00 UTC; sebastian
Author: Sebastian Gibb [aut, cre] (<https://orcid.org/0000-0001-7406-4443>)
Repository: CRAN
Date/Publication: 2021-04-30 06:50:02 UTC

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New package welo with initial version 0.1.0
Package: welo
Title: Weighted and Standard Elo Rates
Version: 0.1.0
Authors@R: person("Vincenzo", "Candila", email="candilav@gmail.com", role=c("aut", "cre"))
Description: Estimates the standard and weighted Elo (WElo, Angelini et al., 2021 <doi:10.1016/j.ejor.2021.04.011>) rates. The current version provides these rates for tennis. In the future, new sports will be added. The 'welo' package offers a flexible tool to estimate the WElo and Elo rates, according to different systems of weights (games or sets) and scale factors (constant, proportional to the number of matches, with more weight on Grand Slam matches or on matches played on a specific surface). Moreover, the package gives the possibility of estimating the (bootstrap) standard errors for the rates. Finally, the package includes a betting function which automatically selects the matches on which place a bet.
License: GPL-3
Encoding: UTF-8
LazyData: true
RdMacros: Rdpack
Depends: R (>= 4.0.0),
Imports: xts (>= 0.12.0), Rdpack (>= 1.0.0), boot (>= 1.3)
Suggests: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2021-04-29 16:40:45 UTC; Vincenzo
Author: Vincenzo Candila [aut, cre]
Maintainer: Vincenzo Candila <candilav@gmail.com>
Repository: CRAN
Date/Publication: 2021-04-30 06:50:05 UTC

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New package unitizer with initial version 1.4.14
Package: unitizer
Title: Interactive R Unit Tests
Description: Simplifies regression tests by comparing objects produced by test code with earlier versions of those same objects. If objects are unchanged the tests pass, otherwise execution stops with error details. If in interactive mode, tests can be reviewed through the provided interactive environment.
Version: 1.4.14
Authors@R: c( person( "Brodie", "Gaslam", email="brodie.gaslam@yahoo.com", role=c("aut", "cre")), person(family="R Core Team", email="R-core@r-project.org", role="cph", comment="Traceback function sources." ) )
Depends: methods
Imports: stats, utils, crayon (>= 1.3.2), diffobj (>= 0.1.5.9000)
VignetteBuilder: knitr
Suggests: covr, knitr, rmarkdown, testthat
License: GPL (>= 2)
URL: https://github.com/brodieG/unitizer
BugReports: https://github.com/brodieG/unitizer/issues
Collate: 'asciiml.R' 'capture.R' 'is.R' 'global.R' 'change.R' 'class_unions.R' 'list.R' 'conditions.R' 'item.R' 'deparse.R' 'text.R' 'item.sub.R' 'section.R' 'test.R' 'unitizer.R' 'exec.R' 'prompt.R' 'browse.struct.R' 'browse.R' 'demo.R' 'diff.R' 'faux_prompt.R' 'get.R' 'heal.R' 'load.R' 'ls.R' 'misc.R' 'search.R' 'options.R' 'onload.R' 'parse.R' 'rename.R' 'repairenvs.R' 'result.R' 'shims.R' 'size.R' 'state.R' 'state.compare.R' 'traceback.R' 'translate.R' 'unitize.R' 'unitize.core.R' 'unitizer-package.r' 'unitizer.add.R' 'upgrade.R'
NeedsCompilation: no
Packaged: 2021-04-29 18:43:02 UTC; bg
Author: Brodie Gaslam [aut, cre], R Core Team [cph] (Traceback function sources.)
Maintainer: Brodie Gaslam <brodie.gaslam@yahoo.com>
Repository: CRAN
Date/Publication: 2021-04-30 06:30:02 UTC

More information about unitizer at CRAN
Permanent link

Package tidyselect updated to version 1.1.1 with previous version 1.1.0 dated 2020-05-11

Title: Select from a Set of Strings
Description: A backend for the selecting functions of the 'tidyverse'. It makes it easy to implement select-like functions in your own packages in a way that is consistent with other 'tidyverse' interfaces for selection.
Author: Lionel Henry [aut, cre], Hadley Wickham [aut], RStudio [cph]
Maintainer: Lionel Henry <lionel@rstudio.com>

Diff between tidyselect versions 1.1.0 dated 2020-05-11 and 1.1.1 dated 2021-04-30

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 tests/testthat/test-eval-walk.R |    2 
 12 files changed, 508 insertions(+), 893 deletions(-)

More information about tidyselect at CRAN
Permanent link

Package SDEFSR updated to version 0.7.22 with previous version 0.7.21 dated 2020-01-28

Title: Subgroup Discovery with Evolutionary Fuzzy Systems
Description: Implementation of evolutionary fuzzy systems for the data mining task called "subgroup discovery". In particular, the algorithms presented in this package are: M. J. del Jesus, P. Gonzalez, F. Herrera, M. Mesonero (2007) <doi:10.1109/TFUZZ.2006.890662> M. J. del Jesus, P. Gonzalez, F. Herrera (2007) <doi:10.1109/MCDM.2007.369416> C. J. Carmona, P. Gonzalez, M. J. del Jesus, F. Herrera (2010) <doi:10.1109/TFUZZ.2010.2060200> C. J. Carmona, V. Ruiz-Rodado, M. J. del Jesus, A. Weber, M. Grootveld, P. González, D. Elizondo (2015) <doi:10.1016/j.ins.2014.11.030> It also provide a Shiny App to ease the analysis. The algorithms work with data sets provided in KEEL, ARFF and CSV format and also with data.frame objects.
Author: Angel M. Garcia [aut, cre], Pedro Gonzalez [aut, cph], Cristobal J. Carmona [aut, cph], Francisco Charte [ctb], Maria J. del Jesus [aut, cph]
Maintainer: Angel M. Garcia <agvico@ujaen.es>

Diff between SDEFSR versions 0.7.21 dated 2020-01-28 and 0.7.22 dated 2021-04-30

 DESCRIPTION                        |   17 +++---
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More information about SDEFSR at CRAN
Permanent link

New package POSTm with initial version 1.1
Package: POSTm
Title: Phylogeny-Guided OTU-Specific Association Test for Microbiome Data
Version: 1.1
Date: 2021-04-28
Authors@R: c(person("Caizhi", "Huang", role = "aut"), person("Jung-Ying", "Tzeng", role = "aut"), person("Shannon", "Holloway", role = c("aut", "cre"), email = "sthollow@ncsu.edu"))
Author: Caizhi Huang [aut], Jung-Ying Tzeng [aut], Shannon Holloway [aut, cre]
Maintainer: Shannon Holloway <sthollow@ncsu.edu>
Description: Implements the Phylogeny-Guided Microbiome OTU-Specific Association Test method, which boosts the testing power by adaptively borrowing information from phylogenetically close OTUs (operational taxonomic units) of the target OTU. This method is built on a kernel machine regression framework and allows for flexible modeling of complex microbiome effects, adjustments for covariates, and can accommodate both continuous and binary outcomes.
Depends: methods
Imports: CompQuadForm, ape
Suggests: multtest, rmarkdown, knitr
biocViews:
License: GPL-2
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
Collate: 'ACAT.R' 'CKAT.R' 'POSTmData.R' 'distanceMatrix.R' 'getKernel.R' 'glmFit.R' 'lmFit.R' 'p.adjust.POST.R' 'plot.POST.R' 'post.R' 'print.POST.R'
NeedsCompilation: no
Packaged: 2021-04-29 13:04:41 UTC; sthollow
Repository: CRAN
Date/Publication: 2021-04-30 06:50:18 UTC

More information about POSTm at CRAN
Permanent link

New package dartR with initial version 1.9.6
Package: dartR
Title: Importing and Analysing SNP and Silicodart Data Generated by Genome-Wide Restriction Fragment Analysis
Version: 1.9.6
Date: 2021-04-29
Authors@R: c( person("Bernd", "Gruber", email="bernd.gruber@canberra.edu.au", role=c("aut","cre")), person("Arthur", "Georges", email="georges@aerg.edu.au", role="aut"), person("Jose L.", "Mijangos", email="bernd.gruber@canberra.edu.au", role=c("aut")), person("Peter J.", "Unmack", email="peter.mail2@unmack.net", rol="ctb"), person("Oliver", "Berry", email="oliver.berry@csiro.au", rol="ctb" ), person("Lindsay V.", "Clark", email="lvclark@illinois.edu", rol="ctb"), person("Floriaan", "Devloo-Delva",email="Floriaan.Devloo-Delva@csiro.au", rol="ctb"))
Description: Functions are provided that facilitate the import and analysis of SNP (single nucleotide polymorphism) and silicodart (presence/absence) data. The main focus is on data generated by DarT (Diversity Arrays Technology). However, once SNP or related fragment presence/absence data from any source is imported into a genlight object many of the functions can be used. Functions are available for input and output of SNP and silicodart data, for reporting on and filtering on various criteria (e.g. CallRate, Heterozygosity, Reproducibility, maximum allele frequency). Advanced filtering is based on Linkage Disequilibrium and HWE (Hardy-Weinberg equilibrium). Other functions are available for visualization after PCoA (Principle Coordinate Analysis), or to facilitate transfer of data between genlight/genind objects and newhybrids, related, phylip, structure, faststructure packages.
VignetteBuilder: knitr
Encoding: UTF-8
Depends: R (>= 3.5), adegenet (>= 2.0.0), ggplot2
biocViews:
Imports: stats, methods, utils, plyr, tidyr, MASS, stringr, ape, vegan, SNPRelate, StAMPP, sp, PopGenReport, hierfstat, robustbase, gridExtra, HardyWeinberg, foreach, dplyr, crayon, devtools
Suggests: knitr, rmarkdown, rgl, parallel, doParallel, data.table, reshape2, pca3d, dismo, pegas, directlabels, rgdal, leaflet.minicharts, leaflet, rrBLUP, poppr, Rcpp, igraph, qvalue, gdistance, seqinr, pheatmap, RColorBrewer, gplots, vcfR, mmod, plotly, ggthemes, ggrepel, raster
License: GPL-2
LazyData: true
NeedsCompilation: no
Packaged: 2021-04-28 23:28:46 UTC; s425824
Author: Bernd Gruber [aut, cre], Arthur Georges [aut], Jose L. Mijangos [aut], Peter J. Unmack [ctb], Oliver Berry [ctb], Lindsay V. Clark [ctb], Floriaan Devloo-Delva [ctb]
Maintainer: Bernd Gruber <bernd.gruber@canberra.edu.au>
Repository: CRAN
Date/Publication: 2021-04-30 06:50:08 UTC

More information about dartR at CRAN
Permanent link

Package traitdataform (with last version 0.6.5) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2021-03-22 0.6.5

Permanent link
Package mfaces updated to version 0.1-3 with previous version 0.1-2 dated 2021-02-26

Title: Fast Covariance Estimation for Multivariate Sparse Functional Data
Description: Multivariate functional principal component analysis via fast covariance estimation for multivariate sparse functional data or longitudinal data proposed by Li, Xiao, and Luo (2020) <doi:10.1002/sta4.245>.
Author: Cai Li [aut,cre] and Luo Xiao [aut]
Maintainer: Cai Li <cli9@ncsu.edu>

Diff between mfaces versions 0.1-2 dated 2021-02-26 and 0.1-3 dated 2021-04-30

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More information about mfaces at CRAN
Permanent link

Package Luminescence updated to version 0.9.11 with previous version 0.9.10 dated 2020-12-10

Title: Comprehensive Luminescence Dating Data Analysis
Description: A collection of various R functions for the purpose of Luminescence dating data analysis. This includes, amongst others, data import, export, application of age models, curve deconvolution, sequence analysis and plotting of equivalent dose distributions.
Author: Sebastian Kreutzer [aut, trl, cre, dtc] (<https://orcid.org/0000-0002-0734-2199>), Christoph Burow [aut, trl, dtc] (<https://orcid.org/0000-0002-5023-4046>), Michael Dietze [aut] (<https://orcid.org/0000-0001-6063-1726>), Margret C. Fuchs [aut] (<https://orcid.org/0000-0001-7210-1132>), Christoph Schmidt [aut] (<https://orcid.org/0000-0002-2309-3209>), Manfred Fischer [aut, trl], Johannes Friedrich [aut] (<https://orcid.org/0000-0002-0805-9547>), Norbert Mercier [aut] (<https://orcid.org/0000-0002-6375-9108>), Rachel K. Smedley [ctb] (<https://orcid.org/0000-0001-7773-5193>), Claire Christophe [ctb], Antoine Zink [ctb] (<https://orcid.org/0000-0001-7146-1101>), Julie Durcan [ctb] (<https://orcid.org/0000-0001-8724-8022>), Georgina E. King [ctb, dtc] (<https://orcid.org/0000-0003-1059-8192>), Anne Philippe [ctb], Guillaume Guerin [ctb] (<https://orcid.org/0000-0001-6298-5579>), Svenja Riedesel [aut] (<https://orcid.org/0000-0003-2936-8776>), Martin Autzen [aut] (<https://orcid.org/0000-0001-6249-426X>), Pierre Guibert [ctb] (<https://orcid.org/0000-0001-8969-8684>), Dirk Mittelstrass [aut] (<https://orcid.org/0000-0002-9567-8791>), Harrison J. Gray [aut] (<https://orcid.org/0000-0002-4555-7473>), Markus Fuchs [ths]
Maintainer: Sebastian Kreutzer <sebastian.kreutzer@aber.ac.uk>

Diff between Luminescence versions 0.9.10 dated 2020-12-10 and 0.9.11 dated 2021-04-30

 DESCRIPTION                              |   38 +-
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 NAMESPACE                                |    2 
 NEWS.md                                  |  102 +++++--
 R/Analyse_SAR.OSLdata.R                  |   76 ++---
 R/CW2pLM.R                               |   46 +--
 R/CW2pLMi.R                              |   72 ++---
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 R/extract_IrradiationTimes.R             |   48 +--
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 man/analyse_IRSAR.RF.Rd                  |   10 
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 223 files changed, 2148 insertions(+), 1569 deletions(-)

More information about Luminescence at CRAN
Permanent link

Package ggeffects updated to version 1.1.0 with previous version 1.0.2 dated 2021-03-17

Title: Create Tidy Data Frames of Marginal Effects for 'ggplot' from Model Outputs
Description: Compute marginal effects and adjusted predictions from statistical models and returns the result as tidy data frames. These data frames are ready to use with the 'ggplot2'-package. Effects and predictions can be calculated for many different models. Interaction terms, splines and polynomial terms are also supported. The main functions are ggpredict(), ggemmeans() and ggeffect(). There is a generic plot()-method to plot the results using 'ggplot2'.
Author: Daniel Lüdecke [aut, cre] (<https://orcid.org/0000-0002-8895-3206>), Frederik Aust [ctb] (<https://orcid.org/0000-0003-4900-788X>), Sam Crawley [ctb] (<https://orcid.org/0000-0002-7847-0411>), Mattan S. Ben-Shachar [ctb] (<https://orcid.org/0000-0002-4287-4801>)
Maintainer: Daniel Lüdecke <d.luedecke@uke.de>

Diff between ggeffects versions 1.0.2 dated 2021-03-17 and 1.1.0 dated 2021-04-30

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Package BiDAG updated to version 2.0.2 with previous version 2.0.1 dated 2021-04-28

Title: Bayesian Inference for Directed Acyclic Graphs
Description: Implementation of a collection of MCMC methods for Bayesian structure learning of directed acyclic graphs (DAGs), both from continuous and discrete data. For efficient inference on larger DAGs, the space of DAGs is pruned according to the data. To filter the search space, the algorithm employs a hybrid approach, combining constraint-based learning with search and score. A reduced search space is initially defined on the basis of a skeleton obtained by means of the PC-algorithm, and then iteratively improved with search and score. Search and score is then performed following two approaches: Order MCMC, or Partition MCMC. The BGe score is implemented for continuous data and the BDe score is implemented for binary data or categorical data. The algorithms may provide the maximum a posteriori (MAP) graph or a sample (a collection of DAGs) from the posterior distribution given the data. All algorithms are also applicable for structure learning and sampling for dynamic Bayesian networks. References: J. Kuipers, P. Suter and G. Moffa (2018) <arXiv:1803.07859v2>, N. Friedman and D. Koller (2003) <doi:10.1023/A:1020249912095>, D. Geiger and D. Heckerman (2002) <doi:10.1214/aos/1035844981>, J. Kuipers and G. Moffa (2017) <doi:10.1080/01621459.2015.1133426>, M. Kalisch et al.(2012) <doi:10.18637/jss.v047.i11>.
Author: Polina Suter [aut, cre], Jack Kuipers [aut]
Maintainer: Polina Suter <polina.suter@bsse.ethz.ch>

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Thu, 29 Apr 2021

Package rpf updated to version 1.0.7 with previous version 1.0.5 dated 2020-09-16

Title: Response Probability Functions
Description: The purpose of this package is to factor out logic and math common to Item Factor Analysis fitting, diagnostics, and analysis. It is envisioned as core support code suitable for more specialized IRT packages to build upon. Complete access to optimized C functions are made available with R_RegisterCCallable(). This software is described in Pritikin & Falk (2020) <doi:10.1177/0146621620929431>.
Author: Joshua Pritikin [cre, aut], Jonathan Weeks [ctb], Li Cai [ctb], Carrie Houts [ctb], Phil Chalmers [ctb], Michael D. Hunter [ctb], Carl F. Falk [ctb]
Maintainer: Joshua Pritikin <jpritikin@pobox.com>

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Package mrbin updated to version 1.5.2 with previous version 1.5.1 dated 2021-04-22

Title: Magnetic Resonance Binning, Integration and Normalization
Description: Nuclear Magnetic Resonance is widely used in Life Science research. The package (<doi:10.1021/acs.jproteome.0c00684>) converts 1D or 2D data into a matrix of values suitable for further data analysis and performs basic processing steps in a reproducible way. Negative values, a common issue in such data, are replaced by positive values. All used parameters are stored in a readable text file and can be restored from that file to enable exact reproduction of the data at a later time.
Author: Matthias Klein [aut, cre] (<https://orcid.org/0000-0001-7455-5381>)
Maintainer: Matthias Klein <klein.663@osu.edu>

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Package loose.rock updated to version 1.2.0 with previous version 1.1.1 dated 2021-03-11

Title: Tools for Survival Analysis and Data Science
Description: Collection of functions to improve work-flow in survival analysis and data science. The package features include: the generation of balanced datasets, live retrieval of protein coding genes from two public databases, generation of random matrix based on covariance matrix, cache function to store function results. This work was supported by two grants from the Portuguese Foundation for Science and technology, and the EU Commission under SOUND project.
Author: André Veríssimo [aut, cre], Susana Vinga [aut]
Maintainer: André Veríssimo <andre.verissimo@tecnico.ulisboa.pt>

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Package corrgram updated to version 1.14 with previous version 1.13 dated 2018-07-09

Title: Plot a Correlogram
Description: Calculates correlation of variables and displays the results graphically. Included panel functions can display points, shading, ellipses, and correlation values with confidence intervals. See Friendly (2002) <doi:10.1198/000313002533>.
Author: Kevin Wright [aut, cre] (<https://orcid.org/0000-0002-0617-8673>)
Maintainer: Kevin Wright <kw.stat@gmail.com>

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Package validate updated to version 1.0.4 with previous version 1.0.2 dated 2021-03-30

Title: Data Validation Infrastructure
Description: Declare data validation rules and data quality indicators; confront data with them and analyze or visualize the results. The package supports rules that are per-field, in-record, cross-record or cross-dataset. Rules can be automatically analyzed for rule type and connectivity. See also Van der Loo and De Jonge (2018) <doi:10.1002/9781118897126>, Chapter 6 and the JSS paper (2021) <doi:10.18637/jss.v097.i10>.
Author: Mark van der Loo [cre, aut] (<https://orcid.org/0000-0002-9807-4686>), Edwin de Jonge [aut] (<https://orcid.org/0000-0002-6580-4718>), Paul Hsieh [ctb]
Maintainer: Mark van der Loo <mark.vanderloo@gmail.com>

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Package opalr updated to version 2.1.0 with previous version 2.0.0 dated 2021-03-09

Title: 'Opal' Data Repository Client and 'DataSHIELD' Utils
Description: Data integration Web application for biobanks by 'OBiBa'. 'Opal' is the core database application for biobanks. Participant data, once collected from any data source, must be integrated and stored in a central data repository under a uniform model. 'Opal' is such a central repository. It can import, process, validate, query, analyze, report, and export data. 'Opal' is typically used in a research center to analyze the data acquired at assessment centres. Its ultimate purpose is to achieve seamless data-sharing among biobanks. This 'Opal' client allows to interact with 'Opal' web services and to perform operations on the R server side. 'DataSHIELD' administration tools are also provided.
Author: Yannick Marcon [aut, cre] (<https://orcid.org/0000-0003-0138-2023>), Amadou Gaye [ctb] (<https://orcid.org/0000-0002-1180-2792>), OBiBa group [cph]
Maintainer: Yannick Marcon <yannick.marcon@obiba.org>

Diff between opalr versions 2.0.0 dated 2021-03-09 and 2.1.0 dated 2021-04-29

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More information about opalr at CRAN
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Package MIMSunit updated to version 0.10.0 with previous version 0.9.2 dated 2020-07-31

Title: Algorithm to Compute Monitor Independent Movement Summary Unit (MIMS-Unit)
Description: The MIMS-unit algorithm is developed to compute Monitor Independent Movement Summary Unit, a measurement to summarize raw accelerometer data while ensuring harmonized results across different devices. It also includes scripts to reproduce results in the related publication (John, D., Tang. Q., Albinali, F. and Intille, S. (2019) <doi:10.1123/jmpb.2018-0068>).
Author: Qu Tang [aut, cre] (<https://orcid.org/0000-0001-5415-0205>), Dinesh John [aut], Stephen Intille [aut], mHealth Research Group [cph] (https://www.mhealthgroup.org)
Maintainer: Qu Tang <tang.q@northeastern.edu>

Diff between MIMSunit versions 0.9.2 dated 2020-07-31 and 0.10.0 dated 2021-04-29

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New package contact with initial version 1.2.7
Package: contact
Title: Creating Contact and Social Networks
Version: 1.2.7
Authors@R: c(person(given = "Trevor", family = "Farthing", role = c("aut", "cre"), email = "tsfarthi@ncsu.edu"), person(given = "Daniel", family = "Dawson", role = "aut", email = "dedawson@ncsu.edu"), person(given = "Cristina", family = "Lanzas", role = "ctb", email = "clanzas@ncsu.edu"))
Description: Process spatially- and temporally-discrete data into contact and social networks, and facilitate network analysis by randomizing individuals' movement paths and/or related categorical variables. To use this package, users need only have a dataset containing spatial data (i.e., latitude/longitude, or planar x & y coordinates), individual IDs relating spatial data to specific individuals, and date/time information relating spatial locations to temporal locations. The functionality of this package ranges from data "cleaning" via multiple filtration functions, to spatial and temporal data interpolation, and network creation and analysis. Functions within this package are not limited to describing interpersonal contacts. Package functions can also identify and quantify "contacts" between individuals and fixed areas (e.g., home ranges, water bodies, buildings, etc.). As such, this package is an incredibly useful resource for facilitating epidemiological, ecological, ethological and sociological research.
Depends: R (>= 3.6.0)
Imports: ape (>= 5.3), data.table (>= 1.12.2), doParallel (>= 1.0.15), foreach (>= 1.4.8), igraph (>= 1.2.4.1), lubridate (>= 1.7.4), parallel (>= 3.6.0), raster (>= 2.9-5), rgdal (>= 1.4-4), rgeos (>= 0.4-3), sp (>= 1.3-1), stats (>= 3.6.0)
License: CC0
Encoding: UTF-8
LazyData: true
BugReports: https://github.com/lanzaslab/contact/issues
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-04-29 09:14:40 UTC; tsfarthi
Author: Trevor Farthing [aut, cre], Daniel Dawson [aut], Cristina Lanzas [ctb]
Maintainer: Trevor Farthing <tsfarthi@ncsu.edu>
Repository: CRAN
Date/Publication: 2021-04-29 16:40:03 UTC

More information about contact at CRAN
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Package ComplexUpset updated to version 1.2.1 with previous version 1.2.0 dated 2021-04-04

Title: Create Complex UpSet Plots Using 'ggplot2' Components
Description: UpSet plots are an improvement over Venn Diagram for set overlap visualizations. Striving to bring the best of the 'UpSetR' and 'ggplot2', this package offers a way to create complex overlap visualisations, using simple and familiar tools, i.e. geoms of 'ggplot2'. For introduction to UpSet concept, see Lex et al. (2014) <doi:10.1109/TVCG.2014.2346248>.
Author: Michał Krassowski [aut, cre] (<https://orcid.org/0000-0002-9638-7785>)
Maintainer: Michał Krassowski <krassowski.michal+r@gmail.com>

Diff between ComplexUpset versions 1.2.0 dated 2021-04-04 and 1.2.1 dated 2021-04-29

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Package vctrs updated to version 0.3.8 with previous version 0.3.7 dated 2021-03-29

Title: Vector Helpers
Description: Defines new notions of prototype and size that are used to provide tools for consistent and well-founded type-coercion and size-recycling, and are in turn connected to ideas of type- and size-stability useful for analysing function interfaces.
Author: Hadley Wickham [aut], Lionel Henry [aut, cre], Davis Vaughan [aut], data.table team [cph] (Radix sort based on data.table's forder() and their contribution to R's order()), RStudio [cph]
Maintainer: Lionel Henry <lionel@rstudio.com>

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Package sequoia updated to version 2.3.2 with previous version 2.0.7 dated 2020-05-18

Title: Pedigree Inference from SNPs
Description: Multi-generational pedigree inference from incomplete data on hundreds of SNPs, including parentage assignment and sibship clustering. See Huisman (2017) (<DOI:10.1111/1755-0998.12665>) for more information.
Author: Jisca Huisman [aut, cre]
Maintainer: Jisca Huisman <jisca.huisman@gmail.com>

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Package wikifacts updated to version 0.4.2 with previous version 0.4.1 dated 2020-11-24

Title: Get Facts and Data from Wikipedia and Wikidata
Description: Query Wikidata and get facts from current and historic Wikipedia main pages.
Author: Keith McNulty [aut, cre] (<https://orcid.org/0000-0002-2332-1654>), Petr Kajzar [ctb]
Maintainer: Keith McNulty <keith.mcnulty@gmail.com>

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Package plotKML updated to version 0.8-1 with previous version 0.8-0 dated 2021-04-12

Title: Visualization of Spatial and Spatio-Temporal Objects in Google Earth
Description: Writes sp-class, spacetime-class, raster-class and similar spatial and spatio-temporal objects to KML following some basic cartographic rules.
Author: Tomislav Hengl [cre, aut], Andrea Gilardi [ctb], Pierre Roudier [ctb], Dylan Beaudette [ctb], Edzer Pebesma [ctb], Michael Blaschek [ctb]
Maintainer: Tomislav Hengl <tom.hengl@opengeohub.org>

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Package mapsf updated to version 0.2.0 with previous version 0.1.1 dated 2021-03-01

Title: Thematic Cartography
Description: Create and integrate thematic maps in your workflow. This package helps to design various cartographic representations such as proportional symbols, choropleth or typology maps. It also offers several functions to display layout elements that improve the graphic presentation of maps (e.g. scale bar, north arrow, title, labels). 'mapsf' maps 'sf' objects on 'base' graphics.
Author: Timothée Giraud [cre, aut] (<https://orcid.org/0000-0002-1932-3323>), Diego Hernangómez [ctb] (<https://orcid.org/0000-0001-8457-4658>), Hugues Pecout [ctb], Ian Fellows [cph] (No overlap algorithm for labels, from wordcloud package), Jim Lemon [cph] (Arc drawing algorithm for annotations, from plotrix package), Florian Zenoni [cph] (Orthographic projection visualisation)
Maintainer: Timothée Giraud <timothee.giraud@cnrs.fr>

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Package ellipsis updated to version 0.3.2 with previous version 0.3.1 dated 2020-05-15

Title: Tools for Working with ...
Description: The ellipsis is a powerful tool for extending functions. Unfortunately this power comes at a cost: misspelled arguments will be silently ignored. The ellipsis package provides a collection of functions to catch problems and alert the user.
Author: Hadley Wickham [aut, cre], RStudio [cph]
Maintainer: Hadley Wickham <hadley@rstudio.com>

Diff between ellipsis versions 0.3.1 dated 2020-05-15 and 0.3.2 dated 2021-04-29

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Package doBy updated to version 4.6.10 with previous version 4.6.9 dated 2021-03-09

Title: Groupwise Statistics, LSmeans, Linear Contrasts, Utilities
Description: Contains: 1) Facilities for working with grouped data: 'do' something to data stratified 'by' some variables. 2) LSmeans (least-squares means), general linear contrasts. 3) Miscellaneous other utilities.
Author: Søren Højsgaard <sorenh@math.aau.dk> and Ulrich Halekoh <uhalekoh@health.sdu.dk>
Maintainer: Søren Højsgaard <sorenh@math.aau.dk>

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Package lintools updated to version 0.1.5 with previous version 0.1.3 dated 2019-12-05

Title: Manipulation of Linear Systems of (in)Equalities
Description: Variable elimination (Gaussian elimination, Fourier-Motzkin elimination), Moore-Penrose pseudoinverse, reduction to reduced row echelon form, value substitution, projecting a vector on the convex polytope described by a system of (in)equations, simplify systems by removing spurious columns and rows and collapse implied equalities, test if a matrix is totally unimodular, compute variable ranges implied by linear (in)equalities.
Author: Mark van der Loo [aut, cre], Edwin de Jonge [aut]
Maintainer: Mark van der Loo <mark.vanderloo@gmail.com>

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Package dcmodify updated to version 0.1.5 with previous version 0.1.2 dated 2018-07-30

Title: Modify Data Using Externally Defined Modification Rules
Description: Data cleaning scripts typically contain a lot of 'if this change that' type of statements. Such statements are typically condensed expert knowledge. With this package, such 'data modifying rules' are taken out of the code and become in stead parameters to the work flow. This allows one to maintain, document, and reason about data modification rules as separate entities.
Author: Mark van der Loo [cre, aut], Edwin de Jonge [aut]
Maintainer: Mark van der Loo <mark.vanderloo@gmail.com>

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Package multcomp updated to version 1.4-17 with previous version 1.4-16 dated 2021-02-08

Title: Simultaneous Inference in General Parametric Models
Description: Simultaneous tests and confidence intervals for general linear hypotheses in parametric models, including linear, generalized linear, linear mixed effects, and survival models. The package includes demos reproducing analyzes presented in the book "Multiple Comparisons Using R" (Bretz, Hothorn, Westfall, 2010, CRC Press).
Author: Torsten Hothorn [aut, cre] (<https://orcid.org/0000-0001-8301-0471>), Frank Bretz [aut], Peter Westfall [aut], Richard M. Heiberger [ctb], Andre Schuetzenmeister [ctb], Susan Scheibe [ctb]
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

Diff between multcomp versions 1.4-16 dated 2021-02-08 and 1.4-17 dated 2021-04-29

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Package dartR (with last version 1.9.4) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2021-04-08 1.9.4
2021-04-03 1.9.1
2020-09-01 1.8.3
2019-02-07 1.1.11

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Package QKPIs (with last version 1.0) was removed from CRAN

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2021-02-26 1.0

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Package bscaling (with last version 1.0) was removed from CRAN

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2020-12-08 1.0

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Package vetr (with last version 0.2.12) was removed from CRAN

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2020-11-06 0.2.12
2020-05-13 0.2.10
2020-03-06 0.2.9
2019-12-17 0.2.8
2019-03-15 0.2.7
2018-08-15 0.2.6
2018-06-23 0.2.5
2018-03-28 0.2.4
2018-03-03 0.2.3
2017-09-27 0.2.2
2017-09-22 0.2.1
2017-09-17 0.2.0
2017-07-08 0.1.0

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Package funGp (with last version 0.2.1) was removed from CRAN

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2020-11-24 0.2.1
2020-11-17 0.2.0
2020-04-22 0.1.0

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Package swapClass (with last version 1.0.1) was removed from CRAN

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2017-06-22 1.0.1
2017-06-20 1.0

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Package cban (with last version 1.0) was removed from CRAN

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2020-12-07 1.0

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Package unitizer (with last version 1.4.12) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2020-11-19 1.4.12
2020-11-13 1.4.11
2020-05-12 1.4.10
2020-03-02 1.4.9
2019-03-27 1.4.8
2019-03-16 1.4.7
2019-01-27 1.4.6
2017-11-24 1.4.5
2017-09-01 1.4.4
2017-06-08 1.4.3
2017-04-09 1.4.2
2017-04-06 1.4.1
2017-04-03 1.4.0

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Package commandr (with last version 1.0.1) was removed from CRAN

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2014-08-25 1.0.1
2012-09-04 0.9.5
2012-08-30 0.9.3

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Package utiml (with last version 0.1.6) was removed from CRAN

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2020-02-07 0.1.6
2019-03-16 0.1.5
2018-04-19 0.1.4
2017-07-31 0.1.3
2017-04-06 0.1.2
2016-11-19 0.1.1
2016-04-08 0.1.0

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Package ldr (with last version 1.3.3) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2014-10-29 1.3.3
2014-06-27 1.3.2
2014-01-03 1.3
2012-11-10 1.2-1
2012-09-12 1.1

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Package cardioModel (with last version 1.4) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2016-04-04 1.4
2016-02-10 1.3
2015-09-28 1.2
2015-09-25 1.1
2015-09-24 1.0

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New package ontoFAST with initial version 1.0.0
Package: ontoFAST
Title: Interactive Annotation of Characters with Biological Ontologies
Version: 1.0.0
Author: Sergei Tarasov
Maintainer: Sergei Tarasov <sergei.tarasov@helsinki.fi>
Description: Tools for annotating characters (character matrices) with anatomical and phenotype ontologies. Includes functions for visualising character annotations and creating simple queries using ontological relationships.
URL: https://github.com/sergeitarasov/ontoFAST
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Imports: shinydashboard, pbapply, stringr, utils, stats, dplyr, plyr, sunburstR, usethis
Depends: R (>= 3.5), shiny, ontologyIndex, visNetwork
Suggests: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2021-04-28 10:01:20 UTC; taravser
Repository: CRAN
Date/Publication: 2021-04-29 07:10:02 UTC

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New package magmaR with initial version 1.0.0
Package: magmaR
Title: R-Client for 'Magma' of the 'UCSF Mount Etna Data Library'
Version: 1.0.0
Authors@R: c(person("Daniel", "Bunis", email = "daniel.bunis@ucsf.edu", role=c("aut", "cre")))
Description: A client for interacting with 'magma', the data warehouse of the 'UCSF Mount Etna Data Library'. 'magmaR' includes functions for querying and downloading data from 'magma', in order to enable working with such data in R, as well as for uploading local data to 'magma'.
Imports: crul, jsonlite, utils
Suggests: dittoSeq, BiocStyle, vcr, webmockr, testthat, knitr, rmarkdown
License: GPL-2
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-04-28 18:33:00 UTC; danielbunis
Author: Daniel Bunis [aut, cre]
Maintainer: Daniel Bunis <daniel.bunis@ucsf.edu>
Repository: CRAN
Date/Publication: 2021-04-29 07:40:02 UTC

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New package leafdown with initial version 1.0.0
Package: leafdown
Title: Provides Drill Down Functionality for 'leaflet' Choropleths
Version: 1.0.0
Authors@R: c( person("Andreas", "Hofheinz", email = "andreas.hofheinz@outlook.com", role = "cre"), person("Peter", "Gandenberger", email = "peter.gandenberger@gmail.com", role = "aut"))
Description: Provides drill down functionality for 'leaflet' choropleths in 'shiny' apps.
License: GPL-3
Encoding: UTF-8
LazyData: true
Suggests: covr, testthat, knitr, rmarkdown, shinytest, dplyr, htmltools
Depends: R (>= 3.5.0)
Imports: R6, leaflet, magrittr, checkmate, shiny, shinyjs
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-04-28 15:51:57 UTC; andre
Author: Andreas Hofheinz [cre], Peter Gandenberger [aut]
Maintainer: Andreas Hofheinz <andreas.hofheinz@outlook.com>
Repository: CRAN
Date/Publication: 2021-04-29 07:30:03 UTC

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Package hse updated to version 0.0-28 with previous version 0.0-26 dated 2021-01-06

Title: The hse Distribution
Description: Deprecated.
Author: Rolf Turner <r.turner@auckland.ac.nz>
Maintainer: Rolf Turner <r.turner@auckland.ac.nz>

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New package daySupply with initial version 0.1.0
Package: daySupply
Title: Calculating Days' Supply and Daily Dose of Prescriptions
Version: 0.1.0
Authors@R: c( person("Abdollah", "Safari", email = "a.saffari72@gmail.com", role = c("aut", "cre")), person("Shahrzad", "Salmasi", email = "shahrzad.salmasi@ubc.ca", role = c("aut")), person("Peter", "Loewen", email = "peter.loewen@ubc.ca", role = c("aut")))
Maintainer: Abdollah Safari <a.saffari72@gmail.com>
Description: Allows clinicians and researchers to compute daily dose (and subsequently days' supply) for prescription refills using the following methods: Fixed window, fixed tablet, defined daily dose (DDD), and Random Effects Warfarin Days' Supply (REWarDS). Daily dose is the computed dose that the patient takes every day. For medications with fixed dosing (e.g. direct oral anticoagulants) this is known and does not need to be estimated. For medications with varying dose such as warfarin, however, the daily dose should be assumed or estimated to allow measurement of drug exposure. Days’ supply is the number of days that patients’ supply of medication will last after each prescription fill. Estimating days’ supply is necessary to calculate drug exposure. The package computes days’ supply and daily dose at both the prescription and patient levels. Results at the prescription level are denoted with “-Rx-” and those at patient level are denoted with “-Pt-”.
Depends: R (>= 3.5.0)
License: GPL (>= 3)
Encoding: UTF-8
Imports: dplyr, lme4, rlang, magrittr
NeedsCompilation: no
Packaged: 2021-04-28 18:41:00 UTC; asafari
Author: Abdollah Safari [aut, cre], Shahrzad Salmasi [aut], Peter Loewen [aut]
Repository: CRAN
Date/Publication: 2021-04-29 07:50:02 UTC

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Package ArgumentCheck (with last version 0.10.2) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2016-04-01 0.10.2
2015-07-10 0.10.0
2015-06-09 0.9.0

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Package diathor (with last version 0.0.5) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2021-04-03 0.0.5
2021-02-24 0.0.4
2020-11-26 0.0.1

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Package rJava updated to version 1.0-4 with previous version 0.9-13 dated 2020-07-06

Title: Low-Level R to Java Interface
Description: Low-level interface to Java VM very much like .C/.Call and friends. Allows creation of objects, calling methods and accessing fields.
Author: Simon Urbanek <simon.urbanek@r-project.org>
Maintainer: Simon Urbanek <simon.urbanek@r-project.org>

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Package qtl2convert updated to version 0.24 with previous version 0.22-7 dated 2020-07-01

Title: Convert Data among QTL Mapping Packages
Description: Functions to convert data structures among the 'qtl2', 'qtl', and 'DOQTL' packages for mapping quantitative trait loci (QTL).
Author: Karl W Broman [aut, cre] (<https://orcid.org/0000-0002-4914-6671>)
Maintainer: Karl W Broman <broman@wisc.edu>

Diff between qtl2convert versions 0.22-7 dated 2020-07-01 and 0.24 dated 2021-04-29

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Package eCAR (with last version 0.1.0) was removed from CRAN

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2021-01-14 0.1.0

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Package himach (with last version 0.1.1) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

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2021-04-15 0.1.0

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Package contact (with last version 1.2.5) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2020-11-16 1.2.5
2020-07-21 1.2.4
2020-06-02 1.2.3
2020-04-13 1.2.2
2020-03-19 1.2.1
2020-03-16 1.2.0
2019-10-30 1.0.1

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Package PCA4you (with last version 1.2.4) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2017-10-22 1.2.4

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Wed, 28 Apr 2021

Package yamlet updated to version 0.7.5 with previous version 0.7.2 dated 2021-03-07

Title: Versatile Curation of Table Metadata
Description: A YAML-based mechanism for working with table metadata. Supports compact syntax for creating, modifying, viewing, exporting, importing, displaying, and plotting metadata coded as column attributes. The 'yamlet' dialect is valid 'YAML' with defaults and conventions chosen to improve readability. See ?yamlet, ?decorate.data.frame and ?modify.default. See ?read_yamlet ?write_yamlet, ?io_csv, and ?ggplot.decorated.
Author: Tim Bergsma
Maintainer: Tim Bergsma <bergsmat@gmail.com>

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Package semtree updated to version 0.9.15 with previous version 0.9.14 dated 2020-01-07

Title: Recursive Partitioning for Structural Equation Models
Description: SEM Trees and SEM Forests -- an extension of model-based decision trees and forests to Structural Equation Models (SEM). SEM trees hierarchically split empirical data into homogeneous groups sharing similar data patterns with respect to a SEM by recursively selecting optimal predictors of these differences. SEM forests are an extension of SEM trees. They are ensembles of SEM trees each built on a random sample of the original data. By aggregating over a forest, we obtain measures of variable importance that are more robust than measures from single trees.
Author: Andreas M. Brandmaier [aut, cre], John J. Prindle [aut], Manuel Arnold [aut]
Maintainer: Andreas M. Brandmaier <andy@brandmaier.de>

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Package qtl2fst updated to version 0.24 with previous version 0.22-7 dated 2020-07-30

Title: Database Storage of Genotype Probabilities for QTL Mapping
Description: Uses the 'fst' package to store genotype probabilities on disk for the 'qtl2' package. These genotype probabilities are a central data object for mapping quantitative trait loci (QTL), but they can be quite large. The facilities in this package enable the genotype probabilities to be stored on disk, leading to reduced memory usage with only a modest increase in computation time.
Author: Karl W Broman [aut, cre] (<https://orcid.org/0000-0002-4914-6671>), Brian S Yandell [aut] (<https://orcid.org/0000-0002-8774-9377>), Petr Simecek [aut] (<https://orcid.org/0000-0002-2922-7183>)
Maintainer: Karl W Broman <broman@wisc.edu>

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Package dipm updated to version 1.2 with previous version 1.1 dated 2021-03-06

Title: Depth Importance in Precision Medicine (DIPM) Method
Description: An implementation of the Depth Importance in Precision Medicine (DIPM) method in Chen and Zhang (2020) <doi:10.1093/biostatistics/kxaa021> and Chen and Zhang (2020) <doi:10.1007/978-3-030-46161-4_16>. The DIPM method is a classification tree that searches for subgroups with especially poor or strong performance in a given treatment group.
Author: Cai Li [aut, cre], Victoria Chen [aut], Heping Zhang [aut]
Maintainer: Cai Li <cai.li@yale.edu>

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Package cccrm updated to version 2.0.3 with previous version 2.0.2 dated 2021-04-16

Title: Concordance Correlation Coefficient for Repeated (and Non-Repeated) Measures
Description: Estimates the Concordance Correlation Coefficient to assess agreement. The scenarios considered are non-repeated measures, non-longitudinal repeated measures (replicates) and longitudinal repeated measures. It also includes the estimation of the one-way intraclass correlation coefficient also known as reliability index. The estimation approaches implemented are variance components and U-statistics approaches. Description of methods can be found in Fleiss (1986) <doi:10.1002/9781118032923.ch1> and Carrasco et al. (2013) <doi:10.1016/j.cmpb.2012.09.002>.
Author: Josep Lluis Carrasco <jlcarrasco@ub.edu>, Josep Puig Martinez <j.puig04@gmail.com>
Maintainer: Josep Lluis Carrasco <jlcarrasco@ub.edu>

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Package rdhs updated to version 0.7.2 with previous version 0.7.1 dated 2020-12-01

Title: API Client and Dataset Management for the Demographic and Health Survey (DHS) Data
Description: Provides a client for (1) querying the DHS API for survey indicators and metadata (<https://api.dhsprogram.com/#/index.html>), (2) identifying surveys and datasets for analysis, (3) downloading survey datasets from the DHS website, (4) loading datasets and associate metadata into R, and (5) extracting variables and combining datasets for pooled analysis.
Author: OJ Watson [aut, cre] (<https://orcid.org/0000-0003-2374-0741>), Jeff Eaton [aut] (<https://orcid.org/0000-0001-7728-728X>), Lucy D'Agostino McGowan [rev] (<https://orcid.org/0000-0001-7297-9359>), Duncan Gillespie [rev]
Maintainer: OJ Watson <oj.watson@hotmail.co.uk>

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Package Signac updated to version 1.2.0 with previous version 1.1.1 dated 2021-02-03

Title: Analysis of Single-Cell Chromatin Data
Description: A framework for the analysis and exploration of single-cell chromatin data. The 'Signac' package contains functions for quantifying single-cell chromatin data, computing per-cell quality control metrics, dimension reduction and normalization, visualization, and DNA sequence motif analysis. Reference: Stuart et al. (2020) <doi:10.1101/2020.11.09.373613>.
Author: Tim Stuart [aut, cre] (<https://orcid.org/0000-0002-3044-0897>), Avi Srivastava [aut] (<https://orcid.org/0000-0001-9798-2079>), Paul Hoffman [ctb] (<https://orcid.org/0000-0002-7693-8957>), Rahul Satija [ctb] (<https://orcid.org/0000-0001-9448-8833>)
Maintainer: Tim Stuart <tstuart@nygenome.org>

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Package RALSA updated to version 1.0.0 with previous version 0.90.3 dated 2021-03-15

Title: R Analyzer for Large-Scale Assessments
Description: Prepare and analyze data from large-scale assessments and surveys with complex sampling and assessment design (see 'Rutkowski', 2010 <doi:10.3102/0013189X10363170>). Such studies are, for example, international assessments like 'TIMSS', 'PIRLS' and 'PISA'. A graphical interface is available for the non-technical user.The package includes functions to covert the original data from 'SPSS' into 'R' data sets keeping the user-defined missing values, merge data from different respondents and/or countries, generate variable dictionaries, modify data, produce descriptive statistics (percentages, means, percentiles, benchmarks) and multivariate statistics (correlations, linear regression, binary logistic regression). The number of supported studies and analysis types will increase in future.
Author: Plamen V. Mirazchiyski [aut, cre], INERI [aut]
Maintainer: Plamen V. Mirazchiyski <plamen.mirazchiyski@ineri.org>

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Package cbinom updated to version 1.6 with previous version 1.5 dated 2020-11-22

Title: Continuous Analog of a Binomial Distribution
Description: Implementation of the d/p/q/r family of functions for a continuous analog to the standard discrete binomial with continuous size parameter and continuous support with x in [0, size + 1], following Ilienko (2013) <arXiv:1303.5990>.
Author: Dan Dalthorp
Maintainer: Dan Dalthorp <ddalthorp@protonmail.com>

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Package rayshader updated to version 0.24.10 with previous version 0.24.5 dated 2021-04-11

Title: Create Maps and Visualize Data in 2D and 3D
Description: Uses a combination of raytracing and multiple hill shading methods to produce 2D and 3D data visualizations and maps. Includes water detection and layering functions, programmable color palette generation, several built-in textures for hill shading, 2D and 3D plotting options, a built-in path tracer, 'Wavefront' OBJ file export, and the ability to save 3D visualizations to a 3D printable format.
Author: Tyler Morgan-Wall
Maintainer: Tyler Morgan-Wall <tylermw@gmail.com>

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Package peacesciencer updated to version 0.3.0 with previous version 0.2.0 dated 2021-03-05

Title: Various Tools and Data for Quantitative Peace Science
Description: These are useful tools and data sets for the study of quantitative peace science. The goal for this package is to include tools and data sets for doing original research that mimics well what a user would have to previously get from a software package that may not be well-sourced or well-supported. Those software bundles were useful the extent to which they encourage replications of long-standing analyses by starting the data-generating process from scratch. However, a lot of the functionality can be done relatively quickly and more transparently in the R programming language.
Author: Steve Miller [aut, cre] (<https://orcid.org/0000-0003-4072-6263>)
Maintainer: Steve Miller <steven.v.miller@gmail.com>

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More information about peacesciencer at CRAN
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Package keyring updated to version 1.2.0 with previous version 1.1.0 dated 2018-07-16

Title: Access the System Credential Store from R
Description: Platform independent 'API' to access the operating system's credential store. Currently supports: 'Keychain' on 'macOS', Credential Store on 'Windows', the Secret Service 'API' on 'Linux', and a simple, platform independent store implemented with environment variables. Additional storage back-ends can be added easily.
Author: Gábor Csárdi [aut, cre], Alec Wong [ctb], RStudio [cph]
Maintainer: Gábor Csárdi <csardi.gabor@gmail.com>

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More information about keyring at CRAN
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Package joyn updated to version 0.1.3 with previous version 0.0.1 dated 2021-04-02

Title: Tool for Diagnosis of Tables Joins and Complementary Join Features
Description: Tool for diagnosing table joins. It combines the speed `data.table`, the flexibility of `dplyr`, and the diagnosis and features of the `merge` command in `Stata`.
Author: R.Andres Castaneda [aut, cre]
Maintainer: R.Andres Castaneda <acastanedaa@worldbank.org>

Diff between joyn versions 0.0.1 dated 2021-04-02 and 0.1.3 dated 2021-04-28

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Package HardyWeinberg updated to version 1.7.2 with previous version 1.7.1 dated 2021-01-04

Title: Statistical Tests and Graphics for Hardy-Weinberg Equilibrium
Description: Contains tools for exploring Hardy-Weinberg equilibrium (Hardy, 1908; Weinberg, 1908) <doi:10.1126/science.28.706.49> for bi and multi-allelic genetic marker data. All classical tests (chi-square, exact, likelihood-ratio and permutation tests) with bi-allelic variants are included in the package, as well as functions for power computation and for the simulation of marker data under equilibrium and disequilibrium. Routines for dealing with markers on the X-chromosome are included (Graffelman & Weir, 2016) <doi: 10.1038/hdy.2016.20>, including Bayesian procedures. Some exact and permutation procedures also work with multi-allelic variants. Special test procedures that jointly address Hardy-Weinberg equilibrium and equality of allele frequencies in both sexes are supplied, for the bi and multi-allelic case. Functions for testing equilibrium in the presence of missing data by using multiple imputation are also provided. Implements several graphics for exploring the equilibrium status of a large set of bi-allelic markers: ternary plots with acceptance regions, log-ratio plots and Q-Q plots.
Author: Jan Graffelman [aut, cre], Christopher Chang [ctb], Xavi Puig [ctb], Jan Wigginton [ctb], Leonardo Ortoleva [ctb], William R. Engels [ctb]
Maintainer: Jan Graffelman <jan.graffelman@upc.edu>

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More information about HardyWeinberg at CRAN
Permanent link

New package deeplr with initial version 2.0.0
Package: deeplr
Title: Interface to the 'DeepL' Translation API
Version: 2.0.0
Authors@R: c( person("David", "Zumbach", role = c("aut", "cre"), email = "david.zumbach@gfzb.ch"), person("Paul C.", "Bauer", role = c("aut"), email = "mail@paulcbauer.eu") )
Description: A wrapper for the 'DeepL' Pro API <https://www.deepl.com/docs-api>, a web service for translating texts between different languages. A DeepL API developer account is required to use the service (see <https://www.deepl.com/pro#developer).
License: GPL (>= 2)
Encoding: UTF-8
URL: https://www.deepl.com/translator
BugReports: https://github.com/zumbov2/deeplr/issues
Imports: utf8, httr, tibble, purrr, tokenizers
Suggests: dplyr
NeedsCompilation: no
Packaged: 2021-04-27 19:15:31 UTC; david
Author: David Zumbach [aut, cre], Paul C. Bauer [aut]
Maintainer: David Zumbach <david.zumbach@gfzb.ch>
Repository: CRAN
Date/Publication: 2021-04-28 15:10:02 UTC

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Package windsoraiR updated to version 0.1.1 with previous version 0.1.0 dated 2021-04-21

Title: Access the 'Windsor.ai' API
Description: Collect multichannel marketing data from sources such as Google analytics, Facebook Ads, and many others using the 'Windsor.ai' API <https://www.windsor.ai/api-fields/>.
Author: Novica Nakov [aut, cre], Windsor.ai [cph]
Maintainer: Novica Nakov <nnovica@gmail.com>

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New package rtern with initial version 0.1.1
Package: rtern
Title: A Ternary Conditional Operator for R
Version: 0.1.1
Authors@R: person(given = "Gethin", family = "Davies", role = c("aut", "cre"), email = "grd.davies@gmail.com")
Description: A small language extension for succinct conditional assignment using `?` and `:`, emulating the conditional ternary operator syntax using in C, Java, JavaScript and other languages.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/grddavies/rtern
BugReports: https://github.com/grddavies/rtern/issues
Suggests: covr, testthat (>= 3.0.0), spelling
Language: en-US
Imports: utils, lifecycle
NeedsCompilation: no
Packaged: 2021-04-23 13:41:36 UTC; Gethin.Davies
Author: Gethin Davies [aut, cre]
Maintainer: Gethin Davies <grd.davies@gmail.com>
Repository: CRAN
Date/Publication: 2021-04-28 14:10:02 UTC

More information about rtern at CRAN
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New package matrixpls with initial version 1.0.13
Encoding: UTF-8
Package: matrixpls
Title: Matrix-Based Partial Least Squares Estimation
Version: 1.0.13
Date: 2021-04-28
Authors@R: c(person("Mikko", "Rönkkö", role=c("aut", "cre"), email = "mikko.ronkko@jyu.fi"))
Maintainer: Mikko Rönkkö <mikko.ronkko@jyu.fi>
Description: Partial Least Squares Path Modeling algorithm and related algorithms. The algorithm implementations aim for computational efficiency using matrix algebra and covariance data. The package is designed toward Monte Carlo simulations and includes functions to perform simple Monte Carlo simulations.
URL: https://github.com/mronkko/matrixpls
BugReports: https://github.com/mronkko/matrixpls/issues
ByteCompile: TRUE
Imports: assertive, matrixcalc, lavaan, MASS, methods, psych
Suggests: simsem, RUnit, parallel, semPLS, boot, Matrix, ASGSCA, knitr, R.rsp
License: GPL-3
LazyLoad: yes
LazyData: true
Collate: 'convCheck.R' 'estimator.R' 'innerEstim.R' 'matrixpls.R' 'matrixpls.boot.R' 'matrixpls.crossvalidate.R' 'matrixpls.optim.R' 'matrixpls.plspm.R' 'matrixpls.postestimation.R' 'matrixpls.predict.R' 'matrixpls.sempls.R' 'matrixpls.sim.R' 'matrixpls.util.R' 'outerEstim.R' 'paramEstimator.R' 'reliabilityEstim.R' 'signChange.R' 'weightFun.R' 'weightSign.R'
VignetteBuilder: R.rsp
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2021-04-28 09:31:19 UTC; mivaanro
Author: Mikko Rönkkö [aut, cre]
Repository: CRAN
Date/Publication: 2021-04-28 14:10:05 UTC

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New package hrt with initial version 1.0.0
Package: hrt
Title: Heteroskedasticity Robust Testing
Version: 1.0.0
Date: 2021-04-15
Author: David Preinerstorfer
Maintainer: David Preinerstorfer <david.preinerstorfer@ulb.be>
Description: Functions for testing affine hypotheses on the regression coefficient vector in regression models with heteroskedastic errors: (i) a function for computing various test statistics (in particular using HC0-HC4 covariance estimators based on unrestricted or restricted residuals); (ii) a function for numerically approximating the size of a test based on such test statistics and a user-supplied critical value; and, most importantly, (iii) a function for determining size-controlling critical values for such test statistics and a user-supplied significance level (also incorporating a check of conditions under which such a size-controlling critical value exists). The three functions are based on results in Poetscher and Preinerstorfer (2021) "Valid Heteroskedasticity Robust Testing" <arXiv:2104.12597>.
License: GPL-2
Imports: methods, stats, Rcpp, CompQuadForm
LinkingTo: Rcpp, RcppEigen
NeedsCompilation: yes
Packaged: 2021-04-28 10:49:55 UTC; preid
Repository: CRAN
Date/Publication: 2021-04-28 14:40:02 UTC

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Package ggVennDiagram updated to version 1.0.7 with previous version 0.5.0 dated 2021-02-28

Title: A 'ggplot2' Implement of Venn Diagram
Description: Easy-to-use functions to generate 2-7 sets Venn plot in publication quality.
Author: Chun-Hui Gao [aut, cre] (<https://orcid.org/0000-0002-1445-7939>), Guangchuang Yu [ctb] (<https://orcid.org/0000-0002-6485-8781>)
Maintainer: Chun-Hui Gao <gaospecial@gmail.com>

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Package torch updated to version 0.3.0 with previous version 0.2.1 dated 2021-01-05

Title: Tensors and Neural Networks with 'GPU' Acceleration
Description: Provides functionality to define and train neural networks similar to 'PyTorch' by Paszke et al (2019) <arXiv:1912.01703> but written entirely in R using the 'libtorch' library. Also supports low-level tensor operations and 'GPU' acceleration.
Author: Daniel Falbel [aut, cre, cph], Javier Luraschi [aut], Dmitriy Selivanov [ctb], Athos Damiani [ctb], Christophe Regouby [ctb], Krzysztof Joachimiak [ctb], RStudio [cph]
Maintainer: Daniel Falbel <daniel@rstudio.com>

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Package signnet updated to version 0.7.1 with previous version 0.7.0 dated 2020-10-21

Title: Methods to Analyse Signed Networks
Description: Methods for the analysis of signed networks. This includes several measures for structural balance as introduced by Cartwright and Harary (1956) <doi:10.1037/h0046049>, blockmodeling algorithms from Doreian (2008) <doi:10.1016/j.socnet.2008.03.005>, various centrality indices, and projections of signed two-mode networks introduced by Schoch (2020) <doi:10.1080/0022250X.2019.1711376>.
Author: David Schoch [aut, cre]
Maintainer: David Schoch <david.schoch@manchester.ac.uk>

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Package Nmisc updated to version 0.3.7 with previous version 0.3.5 dated 2018-11-07

Title: Miscellaneous Functions Used at 'Numeract LLC'
Description: Contains functions useful for debugging, set operations on vectors, and 'UTC' date and time functionality. It adds a few vector manipulation verbs to 'purrr' and 'dplyr' packages. It can also generate an R file to install and update packages to simplify deployment into production. The functions were developed at the data science firm 'Numeract LLC' and are used in several packages and projects.
Author: Mike Badescu [aut, cre], Ana-Maria Niculescu [aut], Teodor Ciuraru [ctb], Numeract LLC [cph]
Maintainer: Mike Badescu <mike.badescu@numeract.com>

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New package mopac with initial version 0.1.0
Package: mopac
Title: Collection of Datasets Pertaining to Loop 1 "Mopac"
Version: 0.1.0
Authors@R: person("Scott", "McKenzie", email = "sccmckenzie@gmail.com", role = c("aut", "cre"))
Description: Provides real & simulated datasets containing time-series traffic observations and additional information pertaining to Loop 1 "Mopac" located in Austin, Texas.
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10)
Suggests: dplyr, lubridate, tibble, readr, hms
URL: https://github.com/sccmckenzie/mopac
BugReports: https://github.com/sccmckenzie/mopac/issues
License: MIT + file LICENSE
NeedsCompilation: no
Packaged: 2021-04-27 15:35:00 UTC; Scott
Author: Scott McKenzie [aut, cre]
Maintainer: Scott McKenzie <sccmckenzie@gmail.com>
Repository: CRAN
Date/Publication: 2021-04-28 13:10:17 UTC

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Package mcmcensemble updated to version 3.0.0 with previous version 2.2.0 dated 2021-02-20

Title: Ensemble Sampler for Affine-Invariant MCMC
Description: Provides ensemble samplers for affine-invariant Monte Carlo Markov Chain, which allow a faster convergence for badly scaled estimation problems. Two samplers are proposed: the 'differential.evolution' sampler from ter Braak and Vrugt (2008) <doi:10.1007/s11222-008-9104-9> and the 'stretch' sampler from Goodman and Weare (2010) <doi:10.2140/camcos.2010.5.65>.
Author: Hugo Gruson [cre, aut, cph] (<https://orcid.org/0000-0002-4094-1476>), Sanda Dejanic [aut, cph], Andreas Scheidegger [aut, cph] (<https://orcid.org/0000-0003-2575-2172>)
Maintainer: Hugo Gruson <hugo.gruson+R@normalesup.org>

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Package GROAN updated to version 1.2.1 with previous version 1.2.0 dated 2018-10-11

Title: Genomic Regression Workbench
Description: Workbench for testing genomic regression accuracy on (optionally noisy) phenotypes.
Author: Nelson Nazzicari & Filippo Biscarini
Maintainer: Nelson Nazzicari <nelson.nazzicari@gmail.com>

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New package audrex with initial version 1.0.0
Package: audrex
Title: Automatic Dynamic Regression using Extreme Gradient Boosting
Version: 1.0.0
Author: Giancarlo Vercellino
Maintainer: Giancarlo Vercellino <giancarlo.vercellino@gmail.com>
Description: Dynamic regression for time series using Extreme Gradient Boosting with hyper-parameter tuning via Bayesian Optimization.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.6)
Imports: rBayesianOptimization, xgboost, purrr, abind, ggplot2, readr, stringr, lubridate, narray, fANCOVA, imputeTS, scales, tictoc, bizdays
URL: <https://github.com/dmlc/xgboost>, <https://github.com/yanyachen/rBayesianOptimization>
NeedsCompilation: no
Packaged: 2021-04-28 04:32:36 UTC; gvercellino
Repository: CRAN
Date/Publication: 2021-04-28 13:30:02 UTC

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Package wsrf updated to version 1.7.21 with previous version 1.7.20 dated 2021-04-24

Title: Weighted Subspace Random Forest for Classification
Description: A parallel implementation of Weighted Subspace Random Forest. The Weighted Subspace Random Forest algorithm was proposed in the International Journal of Data Warehousing and Mining by Baoxun Xu, Joshua Zhexue Huang, Graham Williams, Qiang Wang, and Yunming Ye (2012) <DOI:10.4018/jdwm.2012040103>. The algorithm can classify very high-dimensional data with random forests built using small subspaces. A novel variable weighting method is used for variable subspace selection in place of the traditional random variable sampling.This new approach is particularly useful in building models from high-dimensional data.
Author: Qinghan Meng [aut], He Zhao [aut, cre] (<https://orcid.org/0000-0001-5763-9743>), Graham J. Williams [aut] (<https://orcid.org/0000-0001-7041-4127>), Junchao Lv [aut], Baoxun Xu [aut], Joshua Zhexue Huang [aut] (<https://orcid.org/0000-0002-6797-2571>)
Maintainer: He Zhao <Simon.Yansen.Zhao@gmail.com>

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Package mvGPS updated to version 1.1.1 with previous version 1.0.2 dated 2020-09-17

Title: Causal Inference using Multivariate Generalized Propensity Score
Description: Methods for estimating and utilizing the multivariate generalized propensity score (mvGPS) for multiple continuous exposures described in Williams, J.R, and Crespi, C.M. (2020) <arxiv:2008.13767>. The methods allow estimation of a dose-response surface relating the joint distribution of multiple continuous exposure variables to an outcome. Weights are constructed assuming a multivariate normal density for the marginal and conditional distribution of exposures given a set of confounders. Confounders can be different for different exposure variables. The weights are designed to achieve balance across all exposure dimensions and can be used to estimate dose-response surfaces.
Author: Justin Williams [aut, cre] (<https://orcid.org/0000-0002-5045-2764>)
Maintainer: Justin Williams <williazo@ucla.edu>

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Package table1 updated to version 1.4 with previous version 1.3 dated 2021-03-28

Title: Tables of Descriptive Statistics in HTML
Description: Create HTML tables of descriptive statistics, as one would expect to see as the first table (i.e. "Table 1") in a medical/epidemiological journal article.
Author: Benjamin Rich [aut, cre, cph]
Maintainer: Benjamin Rich <mail@benjaminrich.net>

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Package scholar updated to version 0.2.1 with previous version 0.2.0 dated 2021-01-12

Title: Analyse Citation Data from Google Scholar
Description: Provides functions to extract citation data from Google Scholar. Convenience functions are also provided for comparing multiple scholars and predicting future h-index values.
Author: Guangchuang Yu [aut, cre] (<https://orcid.org/0000-0002-6485-8781>), James Keirstead [aut], Gregory Jefferis [ctb], Gordon Getzinger [ctb], Jorge Cimentada [ctb], Max Czapanskiy [ctb], Dominique Makowski [ctb]
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>

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Package PAMA updated to version 1.1.0 with previous version 1.0.1 dated 2021-04-18

Title: Rank Aggregation with Partition Mallows Model
Description: Rank aggregation aims to achieve a better ranking list given multiple observations. 'PAMA' implements Partition-Mallows model for rank aggregation where the rankers' quality are different. Both Bayesian inference and Maximum likelihood estimation (MLE) are provided. It can handle partial list as well. When covariates information is available, this package can make inference by incorporating the covariate information. More information can be found in the paper "Integrated Partition-Mallows Model and Its Inference for Rank Aggregation".
Author: Wanchuang Zhu [cre, aut]
Maintainer: Wanchuang Zhu <andy.chou.sub@gmail.com>

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Package multiridge updated to version 1.7 with previous version 1.5 dated 2021-04-06

Title: Fast Cross-Validation for Multi-Penalty Ridge Regression
Description: Multi-penalty linear, logistic and cox ridge regression, including estimation of the penalty parameters by efficient (repeated) cross-validation and marginal likelihood maximization. Multiple high-dimensional data types that require penalization are allowed, as well as unpenalized variables. Paired and preferential data types can be specified. See Van de Wiel et al. (2021), <arXiv:2005.09301>.
Author: Mark A. van de Wiel
Maintainer: Mark A. van de Wiel <mark.vdwiel@amsterdamumc.nl>

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More information about multiridge at CRAN
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Package maptiles updated to version 0.1.3 with previous version 0.1.2 dated 2021-04-20

Title: Download and Display Map Tiles
Description: To create maps from tiles, 'maptiles' downloads, composes and displays tiles from a large number of providers (e.g. 'OpenStreetMap', 'Stamen', 'Esri', 'CARTO', or 'Thunderforest').
Author: Timothée Giraud [cre, aut] (<https://orcid.org/0000-0002-1932-3323>), Diego Hernangómez [ctb] (<https://orcid.org/0000-0001-8457-4658>), Robert J. Hijmans [ctb] (<https://orcid.org/0000-0001-5872-2872>)
Maintainer: Timothée Giraud <timothee.giraud@cnrs.fr>

Diff between maptiles versions 0.1.2 dated 2021-04-20 and 0.1.3 dated 2021-04-28

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New package YatesAlgo.FactorialExp.SR with initial version 4.0.4
Package: YatesAlgo.FactorialExp.SR
Title: Yates' Algorithm in 2^n Factorial Experiment
Version: 4.0.4
Author: Somjit Roy
Maintainer: Somjit Roy <somjit.roy2001@gmail.com>
Description: Determines the sum of squares of the (2^n)-1 factorial effects in a 2^n factorial experiment using Yates' algorithm.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: lubridate
NeedsCompilation: no
Packaged: 2021-04-27 07:49:29 UTC; somji
Repository: CRAN
Date/Publication: 2021-04-28 08:00:05 UTC

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New package washex with initial version 1.0.0
Package: washex
Title: Washington State Legislative Explorer
Version: 1.0.0
Authors@R: person(given = "Rohnin", family = "Randles", role = c("aut", "cre"), email = "rrandles@princeton.edu")
Description: Gets data from the Washington State Legislature.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 2.10)
Imports: dplyr, purrr, rlang, XML (>= 3.99-0.5)
Suggests: testthat (>= 3.0.0)
URL: https://github.com/rwrandles/washex-r
BugReports: https://github.com/rwrandles/washex-r/issues
NeedsCompilation: no
Packaged: 2021-04-26 22:45:29 UTC; rrdal
Author: Rohnin Randles [aut, cre]
Maintainer: Rohnin Randles <rrandles@princeton.edu>
Repository: CRAN
Date/Publication: 2021-04-28 07:10:02 UTC

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New package RMAT with initial version 0.2.0
Package: RMAT
Version: 0.2.0
Title: Random Matrix Analysis Toolkit
Authors@R: c(person(given = "Ali", family = "Taqi", role = c("aut", "cre"), email = "alif.taqi00@gmail.com"), person(given = "Jonathan", family = "Wells", role = c("ths"), email = "wellsj@reed.edu") )
Maintainer: Ali Taqi <alif.taqi00@gmail.com>
Description: Simulate random matrices and ensembles and compute their eigenvalue spectra and dispersions.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: purrr, dplyr, stats, magrittr
Suggests: tidyverse
NeedsCompilation: no
Packaged: 2021-04-27 00:27:00 UTC; erdos
Author: Ali Taqi [aut, cre], Jonathan Wells [ths]
Repository: CRAN
Date/Publication: 2021-04-28 07:50:05 UTC

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New package mangoTraining with initial version 1.1.1
Package: mangoTraining
Title: Mango Solutions Training Datasets
Version: 1.1.1
Authors@R: c(person(given = "Mango Solutions", role = c("aut"), email = c("training@mango-solutions.com", "rin24hours@mango-solutions.com")), person(given = "Andrew", family = "Little", role = c("aut", "cre", "ctb", "dtc", "rev"), email = "alittle@mango-solutions.com"), person(given = "Karina", family = "Marks", role = c("aut", "ctb"), email = "kmarks@mango-solutions.com"), person(given = "Aimee", family = "Gott", role = "aut"), person(given = "Owen", family = "Jones", role = "ctb"))
Contact:
Description: Datasets to be used primarily in conjunction with Mango Solutions training materials but also for the book 'SAMS Teach Yourself R in 24 Hours' (ISBN: 978-0-672-33848-9). Version 1.0-7 is largely for use with the book; however, version 1.1 has a much greater focus on use with training materials, whilst retaining compatibility with the book.
URL: https://www.mango-solutions.com/
Depends: R (>= 3.5.0)
Imports: tibble
Suggests: testthat
License: GPL-2
LazyLoad: yes
LazyData: yes
BugReports: https://github.com/MangoTheCat/mangoTraining/issues
NeedsCompilation: no
Packaged: 2021-04-27 09:49:19 UTC; alittle
Author: Mango Solutions [aut], Andrew Little [aut, cre, ctb, dtc, rev], Karina Marks [aut, ctb], Aimee Gott [aut], Owen Jones [ctb]
Maintainer: Andrew Little <alittle@mango-solutions.com>
Repository: CRAN
Date/Publication: 2021-04-28 08:00:02 UTC

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New package glmtrans with initial version 1.0.0
Package: glmtrans
Title: Transfer Learning with Regularized Generalized Linear Models
Version: 1.0.0
Authors@R: c(person("Ye", "Tian", role = c("aut", "cre"), email = "ye.t@columbia.edu"), person("Yang", "Feng", role = "aut", email = "yang.feng@nyu.edu"))
Description: We provide an efficient implementation for two-step multi-source transfer learning algorithms in high-dimensional generalized linear models (GLMs). The elastic-net penalized GLM with three popular families, including linear, logistic and Poisson models, can be fitted. To avoid negative transfer, a transferable source detection algorithm is available. We also provides visualization for the transferable source detection results. A relevant paper by Ye Tian and Yang Feng (2021) will be available soon on arXiv.
Imports: glmnet, ggplot2, foreach, doParallel, caret, assertthat, formatR, stats
License: GPL-2
Depends: R (>= 3.5.0)
Encoding: UTF-8
LazyData: TRUE
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-04-27 02:48:27 UTC; yetian
Author: Ye Tian [aut, cre], Yang Feng [aut]
Maintainer: Ye Tian <ye.t@columbia.edu>
Repository: CRAN
Date/Publication: 2021-04-28 07:50:02 UTC

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Package erify updated to version 0.2.0 with previous version 0.1.0 dated 2021-04-16

Title: Check Arguments and Generate Readable Error Messages
Description: Provides several validator functions to check if arguments passed by users have valid types, lengths, etc., and if not, to generate informative and good-formatted error messages in a consistent style. Also provides tools for users to create their own validator functions. The error message style used is adopted from <https://style.tidyverse.org/error-messages.html>.
Author: Renfei Mao
Maintainer: Renfei Mao <renfeimao@gmail.com>

Diff between erify versions 0.1.0 dated 2021-04-16 and 0.2.0 dated 2021-04-28

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New package eiopaR with initial version 0.1.0
Package: eiopaR
Title: Access to RFR (Risk-Free Rate) Curves Produced by the EIOPA
Version: 0.1.0
Authors@R: person(given = "Mehdi", family = "Echchelh", role = c("aut", "cre"), email = "mehdi.echel@gmail.com", comment = c())
Description: Provides EIOPA (European Insurance And Occupational Pensions Authority) risk-free rates. Please note that the author of this package is not affiliated with EIOPA. The data is accessed through a REST API available at <https://mehdiechchelh.com/api/>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: httr, jsonlite,
Collate: 'const.R' 'api.R' 'eiopaR.R' 'utils.R'
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2021-04-26 09:25:52 UTC; mehdi
Author: Mehdi Echchelh [aut, cre]
Maintainer: Mehdi Echchelh <mehdi.echel@gmail.com>
Repository: CRAN
Date/Publication: 2021-04-28 07:00:03 UTC

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Package DIscBIO updated to version 1.2.0 with previous version 1.1.0 dated 2020-11-13

Title: A User-Friendly Pipeline for Biomarker Discovery in Single-Cell Transcriptomics
Description: An open, multi-algorithmic pipeline for easy, fast and efficient analysis of cellular sub-populations and the molecular signatures that characterize them. The pipeline consists of four successive steps: data pre-processing, cellular clustering with pseudo-temporal ordering, defining differential expressed genes and biomarker identification. More details on Ghannoum et. al. (2021) <doi:10.3390/ijms22031399>. This package implements extensions of the work published by Ghannoum et. al. (2019) <doi:10.1101/700989>.
Author: Salim Ghannoum [aut, cph], Alvaro Köhn-Luque [aut, ths], Waldir Leoncio [cre, aut], Damiano Fantini [ctb]
Maintainer: Waldir Leoncio <w.l.netto@medisin.uio.no>

Diff between DIscBIO versions 1.1.0 dated 2020-11-13 and 1.2.0 dated 2021-04-28

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New package DGEobj.utils with initial version 1.0.3
Package: DGEobj.utils
Title: Differential Gene Expression (DGE) Analysis Utility Toolkit
Version: 1.0.3
Description: Provides a function toolkit to facilitate reproducible RNA-Seq Differential Gene Expression (DGE) analysis (Law (2015) <doi:10.12688/f1000research.9005.3>). The tools include both analysis work-flow and utility functions: mapping/unit conversion, count normalization, accounting for unknown covariates, and more. This is a complement/cohort to the 'DGEobj' package that provides a flexible container to manage and annotate Differential Gene Expression analysis results.
Authors@R: c(person("John", "Thompson", role = "aut", email = "jrt@thompsonclan.org"), person("Connie", "Brett", role = c("aut", "cre"), email = "connie@aggregate-genius.com"), person("Isaac", "Neuhaus", role = "aut", email = "isaac.neuhaus@bms.com"), person("Ryan", "Thompson", role = "aut", email = "rct@thompsonclan.org"))
Depends: R (>= 3.5.0)
License: GPL-3
Language: en-US
Encoding: UTF-8
Imports: assertthat, DGEobj (>= 1.0.3), dplyr, statmod, stats, stringr, tidyr, edgeR, IHW, limma, qvalue, RNASeqPower, sva, zFPKM
Suggests: canvasXpress, conflicted, glue, ggplot2, knitr, rmarkdown, testthat, biomaRt
biocViews:
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-04-26 17:26:21 UTC; conniebrett
Author: John Thompson [aut], Connie Brett [aut, cre], Isaac Neuhaus [aut], Ryan Thompson [aut]
Maintainer: Connie Brett <connie@aggregate-genius.com>
Repository: CRAN
Date/Publication: 2021-04-28 06:40:02 UTC

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Package ClustImpute (with last version 0.2.0) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2021-03-20 0.2.0
2021-01-05 0.1.7
2020-12-12 0.1.6
2020-07-26 0.1.5
2020-05-11 0.1.4
2019-08-01 0.1.3

Permanent link
Package bomrang (with last version 0.7.4) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2021-03-29 0.7.4
2020-12-01 0.7.3
2020-11-15 0.7.2
2020-09-28 0.7.1
2020-01-20 0.7.0

Permanent link
Package mustashe (with last version 0.1.2) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2020-04-21 0.1.2
2020-03-28 0.1.1

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Package FeatureImpCluster (with last version 0.1.2) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2020-05-18 0.1.2

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Package rRofex updated to version 2.0.5 with previous version 2.0.3 dated 2020-07-31

Title: Interface to 'Matba Rofex' Trading API
Description: Execute API calls to the 'Matba Rofex' <https://apihub.primary.com.ar> trading platform. Functionality includes accessing account data and current holdings, retrieving investment quotes, placing and canceling orders, and getting reference data for instruments.
Author: Augusto Hassel [aut, cre], Juan Francisco Gomez [ctb], Matba Rofex [cph]
Maintainer: Augusto Hassel <mpi-augusto@primary.com.ar>

Diff between rRofex versions 2.0.3 dated 2020-07-31 and 2.0.5 dated 2021-04-28

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Package rbibutils updated to version 2.1.1 with previous version 2.1 dated 2021-04-06

Title: Convert Between Bibliography Formats
Description: Read and write 'BibTeX' files. Convert between bibliography formats, including 'BibTeX', 'BibLaTeX', EndNote, and 'Bibentry'. Includes a port of the 'bibutils' utilities by Chris Putnam <https://sourceforge.net/projects/bibutils/>. Supports all bibliography formats and character encodings implemented in 'bibutils'.
Author: Georgi N. Boshnakov [aut, cre] (R port, R code, modifications to bibutils' C code, conversion to Bibentry (R and C code)), Chris Putman [aut] (src/*, author of the bibutils libraries, https://sourceforge.net/projects/bibutils/), Richard Mathar [ctb] (src/addsout.c), Johannes Wilm [ctb] (src/biblatexin.c, src/bltypes.c)
Maintainer: Georgi N. Boshnakov <georgi.boshnakov@manchester.ac.uk>

Diff between rbibutils versions 2.1 dated 2021-04-06 and 2.1.1 dated 2021-04-28

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Package pkgcond updated to version 0.1.1 with previous version 0.1.0 dated 2018-12-03

Title: Classed Error and Warning Conditions
Description: This provides utilities for creating classed error and warning conditions based on where the error originated.
Author: Andrew Redd [aut, cre], R Documentation Task Force [aut]
Maintainer: Andrew Redd <Andrew.Redd@hsc.utah.edu>

Diff between pkgcond versions 0.1.0 dated 2018-12-03 and 0.1.1 dated 2021-04-28

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Package onlineBcp updated to version 0.1.1 with previous version 0.1.0 dated 2021-01-11

Title: Online Bayesian Methods for Change Point Analysis
Description: It implements the online Bayesian methods for change point analysis. It can also perform missing data imputation with methods from 'VIM'. The reference is Yigiter A, Chen J, An L, Danacioglu N (2015) <doi:10.1080/02664763.2014.1001330>.
Author: Hongyan Xu [cre, aut], Ayten Yigiter [aut], Jie Chen [aut]
Maintainer: Hongyan Xu <hxu@augusta.edu>

Diff between onlineBcp versions 0.1.0 dated 2021-01-11 and 0.1.1 dated 2021-04-28

 DESCRIPTION            |    6 +++---
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 4 files changed, 38 insertions(+), 16 deletions(-)

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Package mlr3misc updated to version 0.9.1 with previous version 0.9.0 dated 2021-04-12

Title: Helper Functions for 'mlr3'
Description: Frequently used helper functions and assertions used in 'mlr3' and its companion packages. Comes with helper functions for functional programming, for printing, to work with 'data.table', as well as some generally useful 'R6' classes. This package also supersedes the package 'BBmisc'.
Author: Michel Lang [cre, aut] (<https://orcid.org/0000-0001-9754-0393>), Patrick Schratz [aut] (<https://orcid.org/0000-0003-0748-6624>)
Maintainer: Michel Lang <michellang@gmail.com>

Diff between mlr3misc versions 0.9.0 dated 2021-04-12 and 0.9.1 dated 2021-04-28

 DESCRIPTION         |    6 +++---
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Package DDPNA updated to version 0.2.7 with previous version 0.2.6 dated 2020-07-05

Title: Disease-Drived Differential Proteins Co-Expression Network Analysis
Description: Functions designed to connect disease-related differential proteins and co-expression network. It provides the basic statics analysis included t test, ANOVA analysis. The network construction is not offered by the package, you can used 'WGCNA' package which you can learn in Peter et al. (2008) <doi:10.1186/1471-2105-9-559>. It also provides module analysis included PCA analysis, two enrichment analysis, Planner maximally filtered graph extraction and hub analysis.
Author: Kefu Liu [aut, cre]
Maintainer: Kefu Liu <liukefu19@163.com>

Diff between DDPNA versions 0.2.6 dated 2020-07-05 and 0.2.7 dated 2021-04-28

 DESCRIPTION                |   10 +++++-----
 MD5                        |   10 +++++-----
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Package BiDAG updated to version 2.0.1 with previous version 2.0.0 dated 2021-02-15

Title: Bayesian Inference for Directed Acyclic Graphs
Description: Implementation of a collection of MCMC methods for Bayesian structure learning of directed acyclic graphs (DAGs), both from continuous and discrete data. For efficient inference on larger DAGs, the space of DAGs is pruned according to the data. To filter the search space, the algorithm employs a hybrid approach, combining constraint-based learning with search and score. A reduced search space is initially defined on the basis of a skeleton obtained by means of the PC-algorithm, and then iteratively improved with search and score. Search and score is then performed following two approaches: Order MCMC, or Partition MCMC. The BGe score is implemented for continuous data and the BDe score is implemented for binary data or categorical data. The algorithms may provide the maximum a posteriori (MAP) graph or a sample (a collection of DAGs) from the posterior distribution given the data. All algorithms are also applicable for structure learning and sampling for dynamic Bayesian networks. References: J. Kuipers, P. Suter and G. Moffa (2018) <arXiv:1803.07859v2>, N. Friedman and D. Koller (2003) <doi:10.1023/A:1020249912095>, D. Geiger and D. Heckerman (2002) <doi:10.1214/aos/1035844981>, J. Kuipers and G. Moffa (2017) <doi:10.1080/01621459.2015.1133426>, M. Kalisch et al.(2012) <doi:10.18637/jss.v047.i11>.
Author: Polina Suter [aut, cre], Jack Kuipers [aut]
Maintainer: Polina Suter <polina.suter@bsse.ethz.ch>

Diff between BiDAG versions 2.0.0 dated 2021-02-15 and 2.0.1 dated 2021-04-28

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Package Visualize.CRAN.Downloads updated to version 1.0.1 with previous version 1.0 dated 2020-03-21

Title: Visualize Downloads from 'CRAN' Packages
Description: Visualize the trends and historical downloads from packages in the 'CRAN' repository. Data is obtained by using the 'API' to query the database from the 'RStudio' 'CRAN' mirror.
Author: Marcelo Ponce [aut, cre]
Maintainer: Marcelo Ponce <mponce@scinet.utoronto.ca>

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Package gwer updated to version 3.0 with previous version 2.1 dated 2020-11-24

Title: Geographically Weighted Elliptical Regression
Description: Computes a elliptical regression model or a geographically weighted regression model with elliptical errors using Fisher's score algorithm. Provides diagnostic measures, residuals and analysis of variance. Cysneiros, F. J. A., Paula, G. A., and Galea, M. (2007) <doi:10.1016/j.spl.2007.01.012>.
Author: Yuri A. Araujo, Francisco Jose A. Cysneiros and Audrey H. M. A. Cysneiros
Maintainer: Yuri A. Araujo <yada1@de.ufpe.br>

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Package GMDH2 updated to version 1.6 with previous version 1.5 dated 2019-07-22

Title: Binary Classification via GMDH-Type Neural Network Algorithms
Description: Performs binary classification via Group Method of Data Handling (GMDH) - type neural network algorithms. There exist two main algorithms available in GMDH() and dceGMDH() functions. GMDH() performs classification via GMDH algorithm for a binary response and returns important variables. dceGMDH() performs classification via diverse classifiers ensemble based on GMDH (dce-GMDH) algorithm. Also, the package produces a well-formatted table of descriptives for a binary response. Moreover, it produces confusion matrix, its related statistics and scatter plot (2D and 3D) with classification labels of binary classes to assess the prediction performance. All 'GMDH2' functions are designed for a binary response (Dag et al., 2019, <https://download.atlantis-press.com/article/125911202.pdf>).
Author: Osman Dag [aut, cre], Erdem Karabulut [aut], Reha Alpar [aut], Merve Kasikci [ctb]
Maintainer: Osman Dag <osman.dag@outlook.com>

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Tue, 27 Apr 2021

Package splusTimeDate updated to version 2.5.2 with previous version 2.5.0-142 dated 2019-04-19

Title: Times and Dates from S-PLUS
Description: A collection of classes and methods for working with times and dates. The code was originally available in S-PLUS.
Author: Stephen Kaluzny [aut, cre], TIBCO Software Inc. [aut, cph]
Maintainer: Stephen Kaluzny <spkaluzny@gmail.com>

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Package pairwiseComparisons updated to version 3.1.5 with previous version 3.1.3 dated 2021-02-03

Title: Multiple Pairwise Comparison Tests
Description: Multiple pairwise comparison tests on tidy data for one-way analysis of variance for both between-subjects and within-subjects designs. Currently, it supports only the most common types of statistical analyses and tests: parametric (Welch's and Student's t-test), nonparametric (Durbin-Conover and Dunn test), robust (Yuen’s trimmed means test), and Bayes Factor (Student's t-test).
Author: Indrajeet Patil [cre, aut, cph] (<https://orcid.org/0000-0003-1995-6531>, @patilindrajeets)
Maintainer: Indrajeet Patil <patilindrajeet.science@gmail.com>

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Package taxadb updated to version 0.1.3 with previous version 0.1.2 dated 2021-03-15

Title: A High-Performance Local Taxonomic Database Interface
Description: Creates a local database of many commonly used taxonomic authorities and provides functions that can quickly query this data.
Author: Carl Boettiger [aut, cre] (<https://orcid.org/0000-0002-1642-628X>), Kari Norman [aut] (<https://orcid.org/0000-0002-2029-2325>), Jorrit Poelen [aut] (<https://orcid.org/0000-0003-3138-4118>), Scott Chamberlain [aut] (<https://orcid.org/0000-0003-1444-9135>), Noam Ross [ctb] (<https://orcid.org/0000-0002-2136-0000>)
Maintainer: Carl Boettiger <cboettig@gmail.com>

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Package stpm updated to version 1.7.10 with previous version 1.7.9 dated 2020-11-28

Title: Stochastic Process Model for Analysis of Longitudinal and Time-to-Event Outcomes
Description: Utilities to estimate parameters of the models with survival functions induced by stochastic covariates. Miscellaneous functions for data preparation and simulation are also provided. For more information, see: (i)"Stochastic model for analysis of longitudinal data on aging and mortality" by Yashin A. et al. (2007), Mathematical Biosciences, 208(2), 538-551, <DOI:10.1016/j.mbs.2006.11.006>; (ii) "Health decline, aging and mortality: how are they related?" by Yashin A. et al. (2007), Biogerontology 8(3), 291(302), <DOI:10.1007/s10522-006-9073-3>.
Author: I. Zhbannikov, Liang He, K. Arbeev, I. Akushevich, A. Yashin.
Maintainer: Ilya Y. Zhbannikov <ilya.zhbannikov@duke.edu>

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Package neonstore updated to version 0.4.3 with previous version 0.4.2 dated 2021-04-08

Title: NEON Data Store
Description: The National Ecological Observatory Network (NEON) provides access to its numerous data products through its REST API, <https://data.neonscience.org/data-api/>. This package provides a high-level user interface for downloading and storing NEON data products. While each of NEON data products consist of hundreds or thousands of individual files. Unlike 'neonUtilities', this package will avoid repeated downloading, provides persistent storage, and improves performance. 'neonstore' can also construct a local 'duckdb' database of stacked tables, making it possible to work with tables that are far to big to fit into memory.
Author: Carl Boettiger [aut, cre] (<https://orcid.org/0000-0002-1642-628X>), Quinn Thomas [aut] (<https://orcid.org/0000-0003-1282-7825>), Christine Laney [aut] (<https://orcid.org/0000-0002-4944-2083>), Claire Lunch [aut] (<https://orcid.org/0000-0001-8753-6593>), Noam Ross [ctb] (<https://orcid.org/0000-0002-2136-0000>)
Maintainer: Carl Boettiger <cboettig@gmail.com>

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Package contentid updated to version 0.0.10 with previous version 0.0.9 dated 2021-01-15

Title: An Interface for Content-Based Identifiers
Description: An interface for creating, registering, and resolving content-based identifiers for data management. Content-based identifiers rely on the 'cryptographic' hashes to refer to the files they identify, thus, anyone possessing the file can compute the identifier using a well-known standard algorithm, such as 'SHA256'. By registering a URL at which the content is accessible to a public archive (such as Hash Archive) or depositing data in a scientific repository such 'Zenodo', 'DataONE' or 'SoftwareHeritage', the content identifier can serve many functions typically associated with A Digital Object Identifier ('DOI'). Unlike location-based identifiers like 'DOIs', content-based identifiers permit the same content to be registered in many locations.
Author: Carl Boettiger [aut, cre] (<https://orcid.org/0000-0002-1642-628X>), Jorrit Poelen [aut] (<https://orcid.org/0000-0003-3138-4118>), NSF OAC 1839201 [fnd] (https://www.nsf.gov/awardsearch/showAward?AWD_ID=1839201)
Maintainer: Carl Boettiger <cboettig@gmail.com>

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Package iCellR updated to version 1.6.4 with previous version 1.6.1 dated 2021-03-04

Title: Analyzing High-Throughput Single Cell Sequencing Data
Description: A toolkit that allows scientists to work with data from single cell sequencing technologies such as scRNA-seq, scVDJ-seq and CITE-Seq. Single (i) Cell R package ('iCellR') provides unprecedented flexibility at every step of the analysis pipeline, including normalization, clustering, dimensionality reduction, imputation, visualization, and so on. Users can design both unsupervised and supervised models to best suit their research. In addition, the toolkit provides 2D and 3D interactive visualizations, differential expression analysis, filters based on cells, genes and clusters, data merging, normalizing for dropouts, data imputation methods, correcting for batch differences, pathway analysis, tools to find marker genes for clusters and conditions, predict cell types and pseudotime analysis. See Khodadadi-Jamayran, et al (2020) <doi:10.1101/2020.05.05.078550> and Khodadadi-Jamayran, et al (2020) <doi:10.1101/2020.03.31.019109> for more details.
Author: Alireza Khodadadi-Jamayran [aut, cre] (<https://orcid.org/0000-0003-2495-7504>), Joseph Pucella [aut, ctb] (<https://orcid.org/0000-0003-0875-8046>), Hua Zhou [aut, ctb] (<https://orcid.org/0000-0003-1822-1306>), Nicole Doudican [aut, ctb] (<https://orcid.org/0000-0003-3827-9644>), John Carucci [aut, ctb] (<https://orcid.org/0000-0001-6817-9439>), Adriana Heguy [aut, ctb], Boris Reizis [aut, ctb] (<https://orcid.org/0000-0003-1140-7853>), Aristotelis Tsirigos [aut, ctb] (<https://orcid.org/0000-0002-7512-8477>)
Maintainer: Alireza Khodadadi-Jamayran <alireza.khodadadi.j@gmail.com>

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Package qgam updated to version 1.3.3 with previous version 1.3.2 dated 2020-02-03

Title: Smooth Additive Quantile Regression Models
Description: Smooth additive quantile regression models, fitted using the methods of Fasiolo et al. (2017) <arXiv:1707.03307>. Differently from 'quantreg', the smoothing parameters are estimated automatically by marginal loss minimization, while the regression coefficients are estimated using either PIRLS or Newton algorithm. The learning rate is determined so that the Bayesian credible intervals of the estimated effects have approximately the correct coverage. The main function is qgam() which is similar to gam() in 'mgcv', but fits non-parametric quantile regression models.
Author: Matteo Fasiolo [aut, cre], Simon N. Wood [ctb], Margaux Zaffran [ctb], Yannig Goude [ctb], Raphael Nedellec [ctb]
Maintainer: Matteo Fasiolo <matteo.fasiolo@gmail.com>

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Package Compositional updated to version 4.6 with previous version 4.5 dated 2021-03-23

Title: Compositional Data Analysis
Description: Regression, classification, contour plots, hypothesis testing and fitting of distributions for compositional data are some of the functions included. The standard textbook for such data is John Aitchison's (1986) "The statistical analysis of compositional data". Relevant papers include: a) Tsagris M.T., Preston S. and Wood A.T.A. (2011). A data-based power transformation for compositional data. Fourth International International Workshop on Compositional Data Analysis. b) Tsagris M. (2014). The k-NN algorithm for compositional data: a revised approach with and without zero values present. Journal of Data Science, 12(3):519--534. c) Tsagris M. (2015). A novel, divergence based, regression for compositional data. Proceedings of the 28th Panhellenic Statistics Conference, 15-18 April 2015, Athens, Greece, 430--444. d) Tsagris M. (2015). Regression analysis with compositional data containing zero values. Chilean Journal of Statistics, 6(2):47--57. e) Tsagris M., Preston S. and Wood A.T.A. (2016). Improved supervised classification for compositional data using the alpha-transformation. Journal of Classification, 33(2):243--261. <doi:10.1007/s00357-016-9207-5>. f) Tsagris M., Preston S. and Wood A.T.A. (2017). Nonparametric hypothesis testing for equality of means on the simplex. Journal of Statistical Computation and Simulation, 87(2): 406--422. <doi:10.1080/00949655.2016.1216554>. g) Tsagris M. and Stewart C. (2018). A Dirichlet regression model for compositional data with zeros. Lobachevskii Journal of Mathematics,39(3): 398--412. <doi:10.1134/S1995080218030198>. h) Alenazi A. (2019). Regression for compositional data with compositional data as predictor variables with or without zero values. Journal of Data Science, 17(1): 219--238. <doi:10.6339/JDS.201901_17(1).0010>. i) Tsagris M. and Stewart C. (2020). A folded model for compositional data analysis. Australian and New Zealand Journal of Statistics, 62(2):249--277. <doi:10.1111/anzs.12289>. j) Tsagris M., Alenazi A. and Stewart C. (2020). The alpha-k-NN regression for compositional data. <arXiv:2002.05137>. We further include functions for percentages (or proportions).
Author: Michail Tsagris [aut, cre], Giorgos Athineou [aut], Abdulaziz Alenazi [ctb]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>

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Package UPCM updated to version 0.0-3 with previous version 0.0-2 dated 2021-04-26

Title: Uncertainty in Partial Credit Models
Description: Provides an extension to the Partial Credit Model and Generalized Partial Credit Models which allows for an additional person parameter that characterizes the uncertainty of the person. The method was originally proposed by Tutz and Schauberger (2020) <doi:10.1177/0146621620920932>.
Author: Gunther Schauberger
Maintainer: Gunther Schauberger <gunther.schauberger@tum.de>

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Package meerva updated to version 0.1-2 with previous version 0.1-1 dated 2021-04-19

Title: Analysis of Data with Measurement Error Using a Validation Subsample
Description: Analyze data with measurement error when there is a validation subsample randomly selected from the full sample. The method assumes surrogate variables measured with error are available for the full sample, and reference variables measured with little or no error are available for this randomly selected subsample of the full sample. Measurement errors may be differential or non differential, in any or all predictors (simultaneously) as well as outcome. The "augmented" estimates derived are based upon the multivariate correlation between regression model parameter estimates for the reference variables and for the surrogate variables in the validation subset. Because the validation subsample is chosen at random whatever biases are imposed by measurement error, non-differential or differential, are reflected in this correlation and can be used to derive estimates for the reference variables using data from the whole sample. The main functions in the package are meerva.fit which calculates estimates for a dataset, and meerva.sim.block which simulates multiple datasets as described by the user, and analyzes these datasets, storing the regression coefficient estimates for inspection. This work derives from Chen Y-H, Chen H. (2000) <doi:10.1111/1467-9868.00243>, Chen Y-H. (2002) <doi:10.1111/1467-9868.00324>, Wang X, Wang Q (2015) <doi:10.1016/j.jmva.2015.05.017> and Tong J, Huang J, Chubak J, et al. (2020) <doi:10.1093/jamia/ocz180>.
Author: Walter K Kremers [aut, cre] (<https://orcid.org/0000-0001-5714-3473>)
Maintainer: Walter K Kremers <kremers.walter@mayo.edu>

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Package linpk updated to version 1.1.1 with previous version 1.0 dated 2018-06-12

Title: Generate Concentration-Time Profiles from Linear PK Systems
Description: Generate concentration-time profiles from linear pharmacokinetic (PK) systems, possibly with first-order absorption or zero-order infusion, possibly with one or more peripheral compartments, and possibly under steady-state conditions. Single or multiple doses may be specified. Secondary (derived) PK parameters (e.g. Cmax, Ctrough, AUC, Tmax, half-life, etc.) are computed.
Author: Benjamin Rich [aut, cre]
Maintainer: Benjamin Rich <mail@benjaminrich.net>

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Package HiddenMarkov updated to version 1.8-13 with previous version 1.8-11 dated 2017-11-01

Title: Hidden Markov Models
Description: Contains functions for the analysis of Discrete Time Hidden Markov Models, Markov Modulated GLMs and the Markov Modulated Poisson Process. It includes functions for simulation, parameter estimation, and the Viterbi algorithm. See the topic "HiddenMarkov" for an introduction to the package, and "Change Log" for a list of recent changes. The algorithms are based of those of Walter Zucchini.
Author: David Harte
Maintainer: David Harte <d.s.harte@gmail.com>

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Package dbscan updated to version 1.1-8 with previous version 1.1-7 dated 2021-04-22

Title: Density Based Clustering of Applications with Noise (DBSCAN) and Related Algorithms
Description: A fast reimplementation of several density-based algorithms of the DBSCAN family for spatial data. Includes the clustering algorithms DBSCAN (density-based spatial clustering of applications with noise) and HDBSCAN (hierarchical DBSCAN), the ordering algorithm OPTICS (ordering points to identify the clustering structure), and the outlier detection algorithm LOF (local outlier factor). The implementations use the kd-tree data structure (from library ANN) for faster k-nearest neighbor search. An R interface to fast kNN and fixed-radius NN search is also provided. Hahsler, Piekenbrock and Doran (2019) <doi:10.18637/jss.v091.i01>.
Author: Michael Hahsler [aut, cre, cph], Matthew Piekenbrock [aut, cph], Sunil Arya [ctb, cph], David Mount [ctb, cph]
Maintainer: Michael Hahsler <mhahsler@lyle.smu.edu>

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Package ctsem updated to version 3.4.3 with previous version 3.4.2 dated 2021-02-24

Title: Continuous Time Structural Equation Modelling
Description: Hierarchical continuous time state space modelling, for linear and nonlinear systems measured by continuous variables, with limited support for binary data. The subject specific dynamic system is modelled as a stochastic differential equation (SDE), measurement models are typically multivariate normal factor models. Linear mixed effects SDE's estimated via maximum likelihood and optimization are the default. Nonlinearities, (state dependent parameters) and random effects on all parameters are possible, using either max likelihood / max a posteriori optimization (with optional importance sampling) or Stan's Hamiltonian Monte Carlo sampling. See <https://github.com/cdriveraus/ctsem/raw/master/vignettes/hierarchicalmanual.pdf> for details. Priors may be used. For the conceptual overview of the hierarchical Bayesian linear SDE approach, see <https://www.researchgate.net/publication/324093594_Hierarchical_Bayesian_Continuous_Time_Dynamic_Modeling>. Exogenous inputs may also be included, for an overview of such possibilities see <https://www.researchgate.net/publication/328221807_Understanding_the_Time_Course_of_Interventions_with_Continuous_Time_Dynamic_Models> . Stan based functions are not available on 32 bit Windows systems at present. <https://cdriver.netlify.app/> contains some tutorial blog posts.
Author: Charles Driver [aut, cre, cph], Manuel Voelkle [aut, cph], Han Oud [aut, cph], Trustees of Columbia University [cph]
Maintainer: Charles Driver <charles.driver@ibe.uzh.ch>

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Package AzureGraph updated to version 1.3.0 with previous version 1.2.2 dated 2021-04-06

Title: Simple Interface to 'Microsoft Graph'
Description: A simple interface to the 'Microsoft Graph' API <https://docs.microsoft.com/en-us/graph/overview>. 'Graph' is a comprehensive framework for accessing data in various online Microsoft services. Currently, this package aims to provide an R interface only to the 'Azure Active Directory' part, with a view to supporting interoperability of R and 'Azure': users, groups, registered apps and service principals. However it can be easily extended to cover other services. Part of the 'AzureR' family of packages.
Author: Hong Ooi [aut, cre], Microsoft [cph]
Maintainer: Hong Ooi <hongooi73@gmail.com>

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Package dejaVu updated to version 0.3.0 with previous version 0.2.1 dated 2021-01-13

Title: Multiple Imputation for Recurrent Events
Description: Performs reference based multiple imputation of recurrent event data based on a negative binomial regression model, as described by Keene et al (2014) <doi:10.1002/pst.1624>.
Author: Nikolas Burkoff [aut], Paul Metcalfe [aut], Jonathan Bartlett [aut, cre], David Ruau [aut]
Maintainer: Jonathan Bartlett <j.w.bartlett@bath.ac.uk>

Diff between dejaVu versions 0.2.1 dated 2021-01-13 and 0.3.0 dated 2021-04-27

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Package BAT updated to version 2.5.1 with previous version 2.5.0 dated 2021-02-23

Title: Biodiversity Assessment Tools
Description: Includes algorithms to assess alpha and beta diversity in all their dimensions (taxonomic, phylogenetic and functional). It allows performing a number of analyses based on species identities/abundances, phylogenetic/functional distances, trees, convex-hulls or kernel density n-dimensional hypervolumes depicting species relationships. Cardoso et al. (2015) <doi:10.1111/2041-210X.12310>.
Author: Pedro Cardoso [aut, cre], Stefano Mammola [aut], Francois Rigal [aut], Jose Carvalho [aut]
Maintainer: Pedro Cardoso <pedro.cardoso@helsinki.fi>

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Package CTP updated to version 3.0.1 with previous version 3.0 dated 2021-03-15

Title: Closed Testing Procedure (CTP)
Description: This is a package for constructing hypothesis trees for treatment comparisons based on the closure principle and analysing the corresponding Closed Testing Procedures (CTP) using adjusted p-values. For reference, see Marcus, R., Peritz, E, and Gabriel, K.R. (1976) <doi:10.2307/2335748> and Bauer, P (1991) <doi:10.1002/sim.4780100609>.
Author: Paul Jordan [aut, cre], Matthias Herpers [aut]
Maintainer: Paul Jordan <paul.jordan@roche.com>

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Package occCite updated to version 0.4.7 with previous version 0.4.6 dated 2021-02-21

Title: Querying and Managing Large Biodiversity Occurrence Datasets
Description: Facilitates the gathering of biodiversity occurrence data from disparate sources. Metadata is managed throughout the process to facilitate reporting and enhanced ability to repeat analyses.
Author: Hannah L. Owens [aut, cre] (<https://orcid.org/0000-0003-0071-1745>), Cory Merow [aut] (<https://orcid.org/0000-0003-0561-053X>), Brian Maitner [aut] (<https://orcid.org/0000-0002-2118-9880>), Jamie M. Kass [aut] (<https://orcid.org/0000-0002-9432-895X>), Vijay Barve [aut] (<https://orcid.org/0000-0002-4852-2567>), Robert P. Guralnick [aut] (<https://orcid.org/0000-0001-6682-1504>)
Maintainer: Hannah L. Owens <hannah.owens@gmail.com>

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New package pleLMA with initial version 0.1.0
Package: pleLMA
Title: Pseudo-Likelihood Estimation of Log-Multiplicative Association Models
Version: 0.1.0
Author: Carolyn J. Anderson
Maintainer: Carolyn J. Anderson <cja@illinois.edu>
Description: Log-multiplicative association models (LMA) are models for cross-classifications of categorical variables where interactions are represented by products of category scale values and an association parameter. Maximum likelihood estimation (MLE) fails for moderate to large numbers of categorical variables. The 'pleLMA' package overcomes this limitation of MLE by using pseudo-likelihood estimation to fit the models to small or large cross-classifications dichotomous or multi-category variables. Originally proposed by Besag (1974, <doi:10.1111/j.2517-6161.1974.tb00999.x>), pseudo-likelihood estimation takes large complex models and breaks it down into smaller ones. Rather than maximizing the likelihood of the joint distribution of all the variables, a pseudo-likelihood function, which is the product likelihoods from conditional distributions, is maximized. LMA models can be derived from a number of different frameworks including (but not limited to) graphical models and uni-dimensional and multi-dimensional item response theory models. More details about the models and estimation can be found in the vignette.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Imports: mnlogit, stats, graphics
Suggests: ggplot2, knitr, rmarkdown, testthat
Depends: R (>= 2.10)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-04-26 16:48:57 UTC; cja
Repository: CRAN
Date/Publication: 2021-04-27 08:10:02 UTC

More information about pleLMA at CRAN
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New package BBSSL with initial version 0.1.0
Package: BBSSL
Title: Bayesian Bootstrap Spike-and-Slab LASSO
Version: 0.1.0
Authors@R: c(person("Lizhen", "Nie", role = c("aut", "cre"),email = "lizhen@uchicago.edu"), person("Veronika", "Rockova", role = "aut") )
Description: Posterior sampling for Spike-and-Slab LASSO prior in linear models from Nie and Rockova <arXiv:2011.14279>.
License: GPL-3
Encoding: UTF-8
Imports: svMisc (>= 1.1.0), mvnfast (>= 0.2.5), rmutil (>= 1.1.3), greybox (>= 0.5.1), statmod (>= 1.4.30), Matrix (>= 1.2-17), glmnet (>= 2.0-16), truncnorm (>= 1.0-8), methods
NeedsCompilation: yes
Packaged: 2021-04-26 17:10:00 UTC; lizhennie
Author: Lizhen Nie [aut, cre], Veronika Rockova [aut]
Maintainer: Lizhen Nie <lizhen@uchicago.edu>
Repository: CRAN
Date/Publication: 2021-04-27 08:10:05 UTC

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Package airGR updated to version 1.6.12 with previous version 1.6.10.4 dated 2021-01-29

Title: Suite of GR Hydrological Models for Precipitation-Runoff Modelling
Description: Hydrological modelling tools developed at INRAE-Antony (HYCAR Research Unit, France). The package includes several conceptual rainfall-runoff models (GR4H, GR5H, GR4J, GR5J, GR6J, GR2M, GR1A) that can be applied either on a lumped or semi-distributed way. A snow accumulation and melt model (CemaNeige) and the associated functions for the calibration and evaluation of models are also included. Use help(airGR) for package description and references.
Author: Laurent Coron [aut, trl] (<https://orcid.org/0000-0002-1503-6204>), Olivier Delaigue [aut, cre] (<https://orcid.org/0000-0002-7668-8468>), Guillaume Thirel [aut, ths] (<https://orcid.org/0000-0002-1444-1830>), David Dorchies [aut] (<https://orcid.org/0000-0002-6595-7984>), Charles Perrin [aut, ths] (<https://orcid.org/0000-0001-8552-1881>), Claude Michel [aut, ths], Vazken Andréassian [ctb, ths] (<https://orcid.org/0000-0001-7124-9303>), François Bourgin [ctb] (<https://orcid.org/0000-0002-2820-7260>), Pierre Brigode [ctb] (<https://orcid.org/0000-0001-8257-0741>), Nicolas Le Moine [ctb], Thibaut Mathevet [ctb] (<https://orcid.org/0000-0002-4142-4454>), Safouane Mouelhi [ctb], Ludovic Oudin [ctb] (<https://orcid.org/0000-0002-3712-0933>), Raji Pushpalatha [ctb], Audrey Valéry [ctb]
Maintainer: Olivier Delaigue <airGR@inrae.fr>

Diff between airGR versions 1.6.10.4 dated 2021-01-29 and 1.6.12 dated 2021-04-27

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New package spBFA with initial version 1.1
Package: spBFA
Title: Spatial Bayesian Factor Analysis
Version: 1.1
Date: 2021-04-22
Authors@R: person("Samuel I.", "Berchuck", email = "sib2@duke.edu", role = c("aut", "cre"))
Description: Implements a spatial Bayesian non-parametric factor analysis model with inference in a Bayesian setting using Markov chain Monte Carlo (MCMC). Spatial correlation is introduced in the columns of the factor loadings matrix using a Bayesian non-parametric prior, the probit stick-breaking process. Areal spatial data is modeled using a conditional autoregressive (CAR) prior and point-referenced spatial data is treated using a Gaussian process. The response variable can be modeled as Gaussian, probit, Tobit, or Binomial (using Polya-Gamma augmentation). Temporal correlation is introduced for the latent factors through a hierarchical structure and can be specified as exponential or first-order autoregressive. Full details of the package can be found in the accompanying vignette. Furthermore, the details of the package can be found in "Bayesian Non-Parametric Factor Analysis for Longitudinal Spatial Surfaces", by Berchuck et al (2019), <arXiv:1911.04337>. The paper is in press at the journal Bayesian Analysis.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
NeedsCompilation: yes
Depends: R (>= 3.0.2)
Imports: graphics, grDevices, msm (>= 1.0.0), mvtnorm (>= 1.0-0), pgdraw (>= 1.0), Rcpp (>= 0.12.9), stats, utils
Suggests: coda, classInt, knitr, rmarkdown, womblR (>= 1.0.3)
LinkingTo: Rcpp, RcppArmadillo (>= 0.7.500.0.0)
VignetteBuilder: knitr
Language: en-US
Packaged: 2021-04-26 13:17:48 UTC; sam
Author: Samuel I. Berchuck [aut, cre]
Maintainer: Samuel I. Berchuck <sib2@duke.edu>
Repository: CRAN
Date/Publication: 2021-04-27 07:30:02 UTC

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New package RTIGER with initial version 0.99.0
Package: RTIGER
Title: HMM-Based Model for Genotyping and Cross-Over Identification
Version: 0.99.0
Authors@R: c( person("Rafael", "Campos-Martin", email = "rfael.mpi@gmail.com", role = c("cre"), comment = c(ORCID = "0000-0002-1395-8571")), person("Sophia", "Schmickler", email = "so4a_schmickler@t-online.de", role = c("aut")), person("Manish", "Goel", email = "goel@mpipz.mpg.de", role = c("ctb")), person("Korbinian", "Schneeberger", email = "schneeberger@mpipz.mpg.de", role = c("aut")), person("Achim", "Tresch", email = "achim.tresch@uni-koeln.de", role= c("aut")) )
Description: Our method integrates information from all sequenced samples, thus avoiding loss of alleles due to low coverage. Moreover, it increases the statistical power to uncover sequencing or alignment errors.
Depends: R (>= 3.6), GenomicRanges, GenomeInfoDb
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
LazyDataCompression: gzip
Imports: methods, e1071, reshape2, ggplot2, TailRank, JuliaCall, IRanges, qpdf, grDevices, graphics, stats, utils
VignetteBuilder: knitr
Suggests: knitr, rmarkdown, markdown, Gviz, rtracklayer
biocViews: GenomeAnnotation, HiddenMarkovModel, Sequencing
NeedsCompilation: no
Packaged: 2021-04-26 14:44:35 UTC; campos
Author: Rafael Campos-Martin [cre] (<https://orcid.org/0000-0002-1395-8571>), Sophia Schmickler [aut], Manish Goel [ctb], Korbinian Schneeberger [aut], Achim Tresch [aut]
Maintainer: Rafael Campos-Martin <rfael.mpi@gmail.com>
Repository: CRAN
Date/Publication: 2021-04-27 08:00:02 UTC

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New package prenoms with initial version 0.0.1
Package: prenoms
Title: Names Given to Babies in Quebec Between 1980 and 2020
Version: 0.0.1
Language: en-US
Authors@R: person(given = "Marc-Andre", family = "Desautels", role = c("aut", "cre"), email = "marc-andre.desautels@cstjean.qc.ca")
Description: A database containing the names of the babies born in Quebec between 1980 and 2020.
Depends: R (>= 2.10)
Imports: tibble
Suggests: dplyr, ggplot2
License: MIT + file LICENSE
URL: <https://github.com/desautm/prenoms>
BugReports: https://github.com/desautm/prenoms/issues
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2021-04-26 12:52:10 UTC; mdesautels
Author: Marc-Andre Desautels [aut, cre]
Maintainer: Marc-Andre Desautels <marc-andre.desautels@cstjean.qc.ca>
Repository: CRAN
Date/Publication: 2021-04-27 07:30:05 UTC

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New package flametree with initial version 0.1.2
Package: flametree
Title: Generate Random Tree-Like Images
Version: 0.1.2
Authors@R: person(given = "Danielle", family = "Navarro", role = c("aut", "cre"), email = "d.navarro@unsw.edu.au", comment = c(ORCID = "0000-0001-7648-6578"))
Description: A generative art system for producing tree-like images using an L-system to create the structures. The package includes tools for generating the data structures and visualise them in a variety of styles.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/djnavarro/flametree
BugReports: https://github.com/djnavarro/flametree/issues
Imports: tibble, dplyr, purrr, tidyr, ggplot2, ggforce, paletteer, magrittr
Suggests: deldir, rmarkdown, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2021-04-26 11:54:39 UTC; danielle
Author: Danielle Navarro [aut, cre] (<https://orcid.org/0000-0001-7648-6578>)
Maintainer: Danielle Navarro <d.navarro@unsw.edu.au>
Repository: CRAN
Date/Publication: 2021-04-27 07:20:03 UTC

More information about flametree at CRAN
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New package fishflux with initial version 0.0.1.4
Package: fishflux
Title: Model Elemental Fluxes in Fishes
Version: 0.0.1.4
Authors@R: c( person("Nina M. D.", "Schiettekatte", , "nina.schiettekatte@gmail.com", c("aut", "cre")), person("Diego", "Barneche", , "d.barneche@aims.gov.au", "aut") )
Description: Model fluxes of carbon, nitrogen, and phosphorus with the use of a coupled bioenergetics and stoichiometric model that incorporates flexible elemental limitation. Additional functions to help the user to find parameters are included. Finally, functions to extract and visualize results are available as well. For an introduction, see vignette. For more information on the theoretical background of this model, see Schiettekatte et al. (2020) <doi:10.1111/1365-2435.13618>.
URL: https://nschiett.github.io/fishflux/
BugReports: https://github.com/nschiett/fishflux/issues
License: MIT + file LICENSE
Encoding: UTF-8
Imports: methods, Rcpp (>= 0.12.0), RcppParallel (>= 5.0.1), rstan (>= 2.18.1), rstantools (>= 2.0.0), parallel, dplyr, fishualize, ggplot2, plyr, rfishbase, tidybayes, tidyr, httr, curl
Depends: R (>= 3.6.0)
Suggests: knitr, rmarkdown, testthat, covr
LinkingTo: BH (>= 1.66.0), Rcpp (>= 0.12.0), RcppEigen (>= 0.3.3.4.0), RcppParallel (>= 5.0.1), rstan (>= 2.18.1), StanHeaders (>= 2.18.0)
SystemRequirements: GNU make
LazyData: true
VignetteBuilder: knitr
Biarch: true
NeedsCompilation: yes
Packaged: 2021-04-21 21:37:09 UTC; nschiettekatte
Author: Nina M. D. Schiettekatte [aut, cre], Diego Barneche [aut]
Maintainer: Nina M. D. Schiettekatte <nina.schiettekatte@gmail.com>
Repository: CRAN
Date/Publication: 2021-04-27 07:40:02 UTC

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Package GD updated to version 1.10 with previous version 1.9 dated 2020-06-29

Title: Geographical Detectors for Assessing Spatial Factors
Description: Geographical detectors for measuring spatial stratified heterogeneity, as described in Jinfeng Wang (2010) <doi:10.1080/13658810802443457> and Jinfeng Wang (2016) <doi:10.1016/j.ecolind.2016.02.052>. Includes the optimal discretization of continuous data, four primary functions of geographical detectors, comparison of size effects of spatial unit and the visualizations of results. To use the package and to refer the descriptions of the package, methods and case datasets, please cite Yongze Song (2020) <doi:10.1080/15481603.2020.1760434>. The model has been applied in factor exploration of road performance and multi-scale spatial segmentation for network data, as described in Yongze Song (2018) <doi:10.3390/rs10111696> and Yongze Song (2020) <doi:10.1109/TITS.2020.3001193>, respectively.
Author: Yongze Song [aut, cre] (<https://orcid.org/0000-0003-3420-9622>)
Maintainer: Yongze Song <yongze.song@postgrad.curtin.edu.au>

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Package arrow updated to version 4.0.0 with previous version 3.0.0 dated 2021-01-27

Title: Integration to 'Apache' 'Arrow'
Description: 'Apache' 'Arrow' <https://arrow.apache.org/> is a cross-language development platform for in-memory data. It specifies a standardized language-independent columnar memory format for flat and hierarchical data, organized for efficient analytic operations on modern hardware. This package provides an interface to the 'Arrow C++' library.
Author: Neal Richardson [aut, cre], Ian Cook [aut], Jonathan Keane [aut], Romain François [aut] (<https://orcid.org/0000-0002-2444-4226>), Jeroen Ooms [aut], Javier Luraschi [ctb], Jeffrey Wong [ctb], Apache Arrow [aut, cph]
Maintainer: Neal Richardson <neal@ursalabs.org>

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2021-04-10 0.3.1

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2020-06-16 1.1.5
2018-07-24 1.1.3
2018-05-28 1.1-2

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2019-09-20 0.1.2
2019-03-23 0.1.1
2019-03-07 0.1.0

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Package stokes updated to version 1.0-7 with previous version 1.0-5 dated 2020-03-20

Title: The Exterior Calculus
Description: Provides functionality for working with tensors, alternating tensors, wedge products, Stokes's theorem, and related concepts from the exterior calculus. Functionality for Grassman algebra is provided. The canonical reference would be: M. Spivak (1965, ISBN:0-8053-9021-9) "Calculus on Manifolds".
Author: Robin K. S. Hankin [aut, cre] (<https://orcid.org/0000-0001-5982-0415>)
Maintainer: Robin K. S. Hankin <hankin.robin@gmail.com>

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Package geoknife updated to version 1.6.5 with previous version 1.6.4 dated 2020-06-02

Title: Web-Processing of Large Gridded Datasets
Description: Processes gridded datasets found on the U.S. Geological Survey Geo Data Portal web application or elsewhere, using a web-enabled workflow that eliminates the need to download and store large datasets that are reliably hosted on the Internet. The package provides access to several data subset and summarization algorithms that are available on remote web processing servers (Read et al. (2015) <doi:10.1111/ecog.01880>).
Author: Jordan Read [aut, cre], Jordan Walker [aut], Alison Appling [aut], David Blodgett [aut], Emily Read [aut], Luke Winslow [aut], Lindsay Carr [aut], David Watkins [aut]
Maintainer: Jordan Read <jread@usgs.gov>

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Package mlflow updated to version 1.16.0 with previous version 1.15.0 dated 2021-03-28

Title: Interface to 'MLflow'
Description: R interface to 'MLflow', open source platform for the complete machine learning life cycle, see <https://mlflow.org/>. This package supports installing 'MLflow', tracking experiments, creating and running projects, and saving and serving models.
Author: Matei Zaharia [aut, cre], Javier Luraschi [aut], Kevin Kuo [aut] (<https://orcid.org/0000-0001-7803-7901>), RStudio [cph]
Maintainer: Matei Zaharia <matei@databricks.com>

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Package BANOVA updated to version 1.2.0 with previous version 1.1.9 dated 2021-03-15

Title: Hierarchical Bayesian ANOVA Models
Description: It covers several Bayesian Analysis of Variance (BANOVA) models used in analysis of experimental designs in which both within- and between- subjects factors are manipulated. They can be applied to data that are common in the behavioral and social sciences. The package includes: Hierarchical Bayes ANOVA models with normal response, t response, Binomial (Bernoulli) response, Poisson response, ordered multinomial response and multinomial response variables. All models accommodate unobserved heterogeneity by including a normal distribution of the parameters across individuals. Outputs of the package include tables of sums of squares, effect sizes and p-values, and tables of predictions, which are easily interpretable for behavioral and social researchers. The floodlight analysis and mediation analysis based on these models are also provided. BANOVA uses 'Stan' and 'JAGS' as the computational platform. References: Dong and Wedel (2017) <doi:10.18637/jss.v081.i09>; Wedel and Dong (2020) <doi:10.1002/jcpy.1111>.
Author: Chen Dong, Michel Wedel, Anna Kopyakova
Maintainer: Chen Dong <cdong@math.umd.edu>

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Mon, 26 Apr 2021

Package survParamSim updated to version 0.1.5 with previous version 0.1.4 dated 2020-12-08

Title: Parametric Survival Simulation with Parameter Uncertainty
Description: Perform survival simulation with parametric survival model generated from 'survreg' function in 'survival' package. In each simulation coefficients are resampled from variance-covariance matrix of parameter estimates to capture uncertainty in model parameters. Prediction intervals of Kaplan-Meier estimates and hazard ratio of treatment effect can be further calculated using simulated survival data.
Author: Kenta Yoshida [aut, cre] (<https://orcid.org/0000-0003-4967-3831>), Laurent Claret [aut]
Maintainer: Kenta Yoshida <yoshida.kenta.6@gmail.com>

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Package rerddapXtracto updated to version 1.1.0 with previous version 1.0.2 dated 2020-11-03

Title: Extracts Environmental Data from 'ERDDAP' Web Services
Description: Contains three functions that access environmental data from any 'ERDDAP' data web service. The rxtracto() function extracts data along a trajectory for a given "radius" around the point. The rxtracto_3D() function extracts data in a box. The rxtractogon() function extracts data in a polygon. All of those three function use the 'rerddap' package to extract the data, and should work with any 'ERDDAP' server. There are also two functions, plotBBox() and plotTrack() that use the 'plotdap' package to simplify the creation of maps of the data.
Author: Roy Mendelssohn [aut, cre]
Maintainer: Roy Mendelssohn <roy.mendelssohn@noaa.gov>

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Package foieGras updated to version 0.7-6 with previous version 0.7-5 dated 2021-04-24

Title: Fit Continuous-Time State-Space and Latent Variable Models for Quality Control of Argos Satellite (and Other) Telemetry Data and for Estimating Movement Behaviour
Description: Fits continuous-time random walk and correlated random walk state-space models for quality control animal tracking data ('Argos', processed light-level 'geolocation', 'GPS'). Template Model Builder ('TMB') is used for fast estimation. The 'Argos' data can be: (older) least squares-based locations; (newer) Kalman filter-based locations with error ellipse information; or a mixture of both. The models estimate two sets of location states corresponding to: 1) each observation, which are (usually) irregularly timed; and 2) user-specified time intervals (regular or irregular). Latent variable models are provided to estimate move persistence along tracks as an index of behaviour. Track simulation functions are provided. 'Jonsen I', 'McMahon CR', 'Patterson TA', 'Auger-Méthé M', 'Harcourt R', 'Hindell MA', 'Bestley S' (2019) Movement responses to environment: fast inference of variation among southern elephant seals with a mixed effects model. Ecology 100:e02566 <doi:10.1002/ecy.2566>.
Author: Ian Jonsen [aut, cre, cph], Toby Patterson [aut, ctb]
Maintainer: Ian Jonsen <ian.jonsen@mq.edu.au>

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Package bayesmove updated to version 0.2.0 with previous version 0.1.0 dated 2020-10-16

Title: Non-Parametric Bayesian Analyses of Animal Movement
Description: Methods for assessing animal movement from telemetry and biologging data using non-parametric Bayesian methods. This includes features for pre- processing and analysis of data, as well as the visualization of results from the models. This framework does not rely on standard parametric density functions, which provides flexibility during model fitting.
Author: Joshua Cullen [aut, cre, cph] (<https://orcid.org/0000-0002-6935-9340>), Denis Valle [aut, cph]
Maintainer: Joshua Cullen <joshcullen10@gmail.com>

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Package piecepackr updated to version 1.7.2 with previous version 1.7.1 dated 2021-03-25

Title: Board Game Graphics
Description: Functions to make board game graphics. Specializes in game diagrams, animations, and "Print & Play" layouts for the 'piecepack' <https://www.ludism.org/ppwiki> but can make graphics for other board game systems. Includes configurations for several public domain game systems.
Author: Trevor L Davis [aut, cre], Delapouite <https://delapouite.com/> [dtc] (Meeple shape extracted from "Meeple icon" <https://game-icons.net/1x1/delapouite/meeple.html> / "CC BY 3.0" <https://creativecommons.org/licenses/by/3.0/>)
Maintainer: Trevor L Davis <trevor.l.davis@gmail.com>

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Package PReMiuM updated to version 3.2.6 with previous version 3.2.5 dated 2021-04-08

Title: Dirichlet Process Bayesian Clustering, Profile Regression
Description: Bayesian clustering using a Dirichlet process mixture model. This model is an alternative to regression models, non-parametrically linking a response vector to covariate data through cluster membership. The package allows Bernoulli, Binomial, Poisson, Normal, survival and categorical response, as well as Normal and discrete covariates. It also allows for fixed effects in the response model, where a spatial CAR (conditional autoregressive) term can be also included. Additionally, predictions may be made for the response, and missing values for the covariates are handled. Several samplers and label switching moves are implemented along with diagnostic tools to assess convergence. A number of R functions for post-processing of the output are also provided. In addition to fitting mixtures, it may additionally be of interest to determine which covariates actively drive the mixture components. This is implemented in the package as variable selection. The main reference for the package is Liverani, Hastie, Azizi, Papathomas and Richardson (2015) <doi:10.18637/jss.v064.i07>.
Author: David I. Hastie, Silvia Liverani <liveranis@gmail.com> and Sylvia Richardson with contributions from Aurore J. Lavigne, Lucy Leigh, Lamiae Azizi, Xi Liu, Ruizhu Huang, Austin Gratton, Wei Jing
Maintainer: Silvia Liverani <liveranis@gmail.com>

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Package roxut updated to version 0.2.40 with previous version 0.2.23 dated 2020-07-06

Title: Document Unit Tests Roxygen-Style
Description: Much as 'roxygen2' allows one to document functions in the same file as the function itself, 'roxut' allows one to write the unit tests in the same file as the function. Once processed, the unit tests are moved to the appropriate directory. Currently supports 'testthat' and 'tinytest' frameworks. The 'roxygen2' package provides much of the infrastructure.
Author: Bryan A. Hanson [aut, cre] (<https://orcid.org/0000-0003-3536-8246>), Hadley Wickham [aut, cph] (roxygen2 code), Peter Danenberg [aut, cph] (roxygen2 code), Gábor Csárdi [aut] (roxygen2 code), Manuel Eugster [aut, cph] (roxygen2 code), RStudio [cph] (roxygen2 code)
Maintainer: Bryan A. Hanson <hanson@depauw.edu>

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Package plot.matrix updated to version 1.6 with previous version 1.5.2 dated 2020-11-01

Title: Visualizes a Matrix as Heatmap
Description: Visualizes a matrix object plainly as heatmap. It provides S3 functions to plot simple matrices and loading matrices.
Author: Sigbert Klinke [aut, cre], Frédéric Chevalier [ctb]
Maintainer: Sigbert Klinke <sigbert@hu-berlin.de>

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Package jquerylib updated to version 0.1.4 with previous version 0.1.3 dated 2020-12-17

Title: Obtain 'jQuery' as an HTML Dependency Object
Description: Obtain any major version of 'jQuery' (<https://code.jquery.com/>) and use it in any webpage generated by 'htmltools' (e.g. 'shiny', 'htmlwidgets', and 'rmarkdown'). Most R users don't need to use this package directly, but other R packages (e.g. 'shiny', 'rmarkdown', etc.) depend on this package to avoid bundling redundant copies of 'jQuery'.
Author: Carson Sievert [aut, cre] (<https://orcid.org/0000-0002-4958-2844>), Joe Cheng [aut], RStudio [cph], jQuery Foundation [cph] (jQuery library and jQuery UI library), jQuery contributors [ctb, cph] (jQuery library; authors listed in inst/lib/jquery-AUTHORS.txt)
Maintainer: Carson Sievert <carson@rstudio.com>

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Package StAMPP updated to version 1.6.2 with previous version 1.6.1 dated 2020-03-20

Title: Statistical Analysis of Mixed Ploidy Populations
Description: Allows users to calculate pairwise Nei's Genetic Distances (Nei 1972), pairwise Fixation Indexes (Fst) (Weir & Cockerham 1984) and also Genomic Relationship matrixes following Yang et al. (2010) in mixed and single ploidy populations. Bootstrapping across loci is implemented during Fst calculation to generate confidence intervals and p-values around pairwise Fst values. StAMPP utilises SNP genotype data of any ploidy level (with the ability to handle missing data) and is coded to utilise multithreading where available to allow efficient analysis of large datasets. StAMPP is able to handle genotype data from genlight objects allowing integration with other packages such adegenet. Please refer to LW Pembleton, NOI Cogan & JW Forster, 2013, Molecular Ecology Resources, 13(5), 946-952. <doi:10.1111/1755-0998.12129> for the appropriate citation and user manual. Thank you in advance.
Author: LW Pembleton
Maintainer: LW Pembleton <luke.pembleton@agriculture.vic.gov.au>

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Package shinydashboardPlus updated to version 2.0.1 with previous version 2.0.0 dated 2021-03-07

Title: Add More 'AdminLTE2' Components to 'shinydashboard'
Description: Extend 'shinydashboard' with 'AdminLTE2' components. 'AdminLTE2' is a free 'Bootstrap 3' dashboard template available at <https://adminlte.io>. Customize boxes, add timelines and a lot more.
Author: David Granjon [aut, cre], RinteRface [cph], Almasaeed Studio [ctb, cph] (AdminLTE2 theme for Bootstrap 3), Guang Yang [ctb, cph] (ygdashboard original template), Winston Chang [ctb, cph] (Functions from shinydashboard), Victor Perrier [ctb] (improved the shinydashboardPlusGallery)
Maintainer: David Granjon <dgranjon@ymail.com>

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Package cli updated to version 2.5.0 with previous version 2.4.0 dated 2021-04-05

Title: Helpers for Developing Command Line Interfaces
Description: A suite of tools to build attractive command line interfaces ('CLIs'), from semantic elements: headings, lists, alerts, paragraphs, etc. Supports custom themes via a 'CSS'-like language. It also contains a number of lower level 'CLI' elements: rules, boxes, trees, and 'Unicode' symbols with 'ASCII' alternatives. It support ANSI colors and text styles as well.
Author: Gábor Csárdi [aut, cre], Hadley Wickham [ctb], Kirill Müller [ctb], RStudio [cph]
Maintainer: Gábor Csárdi <csardi.gabor@gmail.com>

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Package mlmi updated to version 1.1.0 with previous version 1.0.0 dated 2019-08-02

Title: Maximum Likelihood Multiple Imputation
Description: Implements so called Maximum Likelihood Multiple Imputation as described by von Hippel and Bartlett (2019) <arXiv:1210.0870v10>. A number of different imputations are available, by utilising the 'norm', 'cat' and 'mix' packages. Inferences can be performed either using combination rules similar to Rubin's or using a likelihood score based approach based on theory by Wang and Robins (1998) <doi:10.1093/biomet/85.4.935>.
Author: Jonathan Bartlett
Maintainer: Jonathan Bartlett <j.w.bartlett@bath.ac.uk>

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Package esaddle updated to version 0.0.7 with previous version 0.0.6 dated 2020-01-10

Title: Extended Empirical Saddlepoint Density Approximations
Description: Tools for fitting the Extended Empirical Saddlepoint (EES) density of Fasiolo et al. (2018) <doi:10.1214/18-EJS1433>.
Author: Matteo Fasiolo and Simon N. Wood
Maintainer: Matteo Fasiolo <matteo.fasiolo@gmail.com>

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Package bayes4psy updated to version 1.2.6 with previous version 1.2.5 dated 2020-12-07

Title: User Friendly Bayesian Data Analysis for Psychology
Description: Contains several Bayesian models for data analysis of psychological tests. A user friendly interface for these models should enable students and researchers to perform professional level Bayesian data analysis without advanced knowledge in programming and Bayesian statistics. This package is based on the Stan platform (Carpenter et el. 2017 <doi:10.18637/jss.v076.i01>).
Author: Jure Demšar [cre, aut], Grega Repovš [aut], Erik Štrumbelj [aut], Trustees of Columbia University [cph], John Kruschke [cph] (R/shared_functions.R - mcmc_hdi, src/stan_files/ttest.stan), Rasmus Baath [cph] (R/b_bootstrap.R)
Maintainer: Jure Demšar <jure.demsar@fri.uni-lj.si>

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Package mixlm updated to version 1.2.5 with previous version 1.2.4 dated 2019-12-13

Title: Mixed Model ANOVA and Statistics for Education
Description: The main functions perform mixed models analysis by least squares or REML by adding the function r() to formulas of lm() and glm(). A collection of text-book statistics for higher education is also included, e.g. modifications of the functions lm(), glm() and associated summaries from the package 'stats'.
Author: Kristian Hovde Liland [aut, cre], Solve S<e6>b<f8> [ctb], R-Core [ctb]
Maintainer: Kristian Hovde Liland <kristian.liland@nmbu.no>

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Package MBNMAtime updated to version 0.2.0 with previous version 0.1.3 dated 2020-03-04

Title: Run Time-Course MBNMA Models
Description: Fits Bayesian time-course models for model-based network meta-analysis (MBNMA) that allows inclusion of multiple time-points from studies. Repeated measures over time are accounted for within studies by applying different time-course functions, following the method of Pedder et al. (2019) <doi:10.1002/jrsm.1351>. The method allows synthesis of studies with multiple follow-up measurements that can account for time-course for a single or multiple treatment comparisons. Several general time-course functions are provided; others may be added by the user. Various characteristics can be flexibly added to the models, such as correlation between time points and shared class effects. The consistency of direct and indirect evidence in the network can be assessed using unrelated mean effects models and/or by node-splitting.
Author: Hugo Pedder [aut, cre], Tobias Saueressig [rev], Nicky Welton [ctb, rev], Sofia Dias [ctb, rev], Meg Bennetts [ctb, rev], Martin Boucher [ctb, rev]
Maintainer: Hugo Pedder <hugopedder@gmail.com>

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Package oceanis updated to version 1.7.5.2 with previous version 1.7.5.1 dated 2021-02-05

Title: Cartography for Statistical Analysis
Description: Creating maps for statistical analysis such as proportional circles, chroropleth, typology and flows. Some functions use 'shiny' or 'leaflet' technologies for dynamism and interactivity. The great features are : - Create maps in a web environment where the parameters are modifiable on the fly ('shiny' and 'leaflet' technology). - Create interactive maps through zoom and pop-up ('leaflet' technology). - Create frozen maps with the possibility to add labels.
Author: Sébastien CALVET - PSAR-AT - DR Provence-Alpes-Cote d'Azur - INSEE [cre, aut], Sophie AUDRIC - PSAR-AT - DR Provence-Alpes-Cote d'Azur - INSEE [aut], SED - DR Hauts-de-France - INSEE [ctb], PSAR-SL - DR Auvergne-Rhone-Alpes - INSEE [ctb], PSAR-EEP - DR Occitanie - INSEE [ctb], SED - DR Pays-de-la-Loire - INSEE [ctb]
Maintainer: Sébastien CALVET <sebastien.calvet@insee.fr>

Diff between oceanis versions 1.7.5.1 dated 2021-02-05 and 1.7.5.2 dated 2021-04-26

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Package migraph updated to version 0.6.3 with previous version 0.6.2 dated 2021-04-15

Title: Multimodal and Multilevel Network Analysis
Description: A set of tools that extend common social network analysis packages for analysing multimodal and multilevel networks. It includes functions for one- and two-mode (and sometimes three-mode) centrality, centralization, clustering, and constraint, as well as for one- and two-mode network regression and block-modelling. All functions operate with matrices, edge lists, and 'igraph', 'network'/'sna', and 'tidygraph' objects. The package is released as a complement to 'Multimodal Political Networks' (2021, ISBN:9781108985000), and includes various datasets used in the book.
Author: James Hollway [cph, cre, aut, ctb] (IHEID, <https://orcid.org/0000-0002-8361-9647>)
Maintainer: James Hollway <james.hollway@graduateinstitute.ch>

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Package reportfactory updated to version 0.3.0 with previous version 0.2.0 dated 2021-03-11

Title: Lightweight Infrastructure for Handling Multiple R Markdown Documents
Description: Provides an infrastructure for handling multiple R Markdown reports, including automated curation and time-stamping of outputs, parameterisation and provision of helper functions to manage dependencies.
Author: Thibaut Jombart [aut], Amy Gimma [ctb], Tim Taylor [aut, cre] (<https://orcid.org/0000-0002-8587-7113>)
Maintainer: Tim Taylor <tim.taylor@hiddenelephants.co.uk>

Diff between reportfactory versions 0.2.0 dated 2021-03-11 and 0.3.0 dated 2021-04-26

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Package archeofrag updated to version 0.7 with previous version 0.6.0 dated 2020-11-27

Title: Refitting and Spatial Analysis in Archaeology
Description: Methods to analyse fragmented objects in archaeology using refitting relationships between fragments scattered in archaeological spatial units (e.g. stratigraphic layers). Graphs and graph theory are used to model archaeological observations. The package is mainly based on the 'igraph' package for graph analysis. Functions can: 1) create, manipulate, and simulate fragmentation graphs, 2) measure the cohesion and admixture of archaeological spatial units, and 3) characterise the topology of a specific set of refitting relationships. An empirical dataset is also provided as an example.
Author: Sebastien Plutniak [aut, cre] (<https://orcid.org/0000-0002-6674-3806>)
Maintainer: Sebastien Plutniak <sebastien.plutniak@posteo.net>

Diff between archeofrag versions 0.6.0 dated 2020-11-27 and 0.7 dated 2021-04-26

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New package xpose.nlmixr with initial version 0.2.0
Package: xpose.nlmixr
Title: Graphical Diagnostics for Pharmacometric Models: Extension to 'nlmixr'
Version: 0.2.0
Authors@R: c(person('Justin', 'Wilkins', email = 'justin.wilkins@occams.com', role = c('aut', 'cre', 'cph')), person('Matthew','Fidler', role = c('aut','cph'), email = 'matthew.fidler@gmail.com'), person('Benjamin', 'Guiastrennec', role = c('aut'), email = 'guiastrennec@gmail.com'), person('Andrew C.', 'Hooker', role = c('aut'), email = 'andrew.hooker@farmbio.uu.se'), person('Anna', 'Olofsson', role = c('aut', 'cph')), person('Sebastian', 'Ueckert', role = c('aut'), email = 'sebastian.ueckert@farmbio.uu.se'), person('Ron', 'Keizer', role = 'aut', email = 'ronkeizer@gmail.com'), person('Kajsa', 'Harling', role = 'ctb'), person('Mike K.', 'Smith', role = 'ctb'), person('Elodie', 'Plan', role = 'ctb'), person('Mats O.', 'Karlsson', role = c('aut', 'cph'), email = 'mats.karlsson@farmbio.uu.se'), person('Pharmetheus', role = 'ctb'), person('Pfizer', role = 'ctb'), person('Occams', role = 'ctb'), person('Novartis', role = 'ctb'))
Maintainer: Justin Wilkins <justin.wilkins@occams.com>
Description: Extension to 'xpose' to support 'nlmixr'. Provides functions to import 'nlmixr' fit data into an 'xpose' data object, allowing the use of 'xpose' for 'nlmixr' model diagnostics.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.2), xpose (>= 0.4.2)
Imports: ggplot2 (>= 2.2.1), nlmixr (>= 1.1.0-0), dplyr (>= 0.7.4), tibble (>= 2.0.0), stringr (>= 1.2.0), tidyr (>= 0.7.2), magrittr (>= 1.5), methods (>= 3.4.1), vpc (>= 1.0.2), nlme, crayon, rlang
NeedsCompilation: no
Packaged: 2021-04-26 07:57:22 UTC; justin
Author: Justin Wilkins [aut, cre, cph], Matthew Fidler [aut, cph], Benjamin Guiastrennec [aut], Andrew C. Hooker [aut], Anna Olofsson [aut, cph], Sebastian Ueckert [aut], Ron Keizer [aut], Kajsa Harling [ctb], Mike K. Smith [ctb], Elodie Plan [ctb], Mats O. Karlsson [aut, cph], Pharmetheus [ctb], Pfizer [ctb], Occams [ctb], Novartis [ctb]
Repository: CRAN
Date/Publication: 2021-04-26 10:20:03 UTC

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New package UPCM with initial version 0.0-2
Package: UPCM
Title: Uncertainty in Partial Credit Models
Version: 0.0-2
Date: 2021-04-26
Author: Gunther Schauberger
Maintainer: Gunther Schauberger <gunther.schauberger@tum.de>
Description: Provides an extension to the Partial Credit Model and Generalized Partial Credit Models which allows for an additional person parameter that characterizes the uncertainty of the person. The method was originally proposed by Tutz and Schauberger (2020) <doi:10.1177/0146621620920932>.
License: GPL (>= 2)
Imports: Rcpp (>= 0.12.4), cubature, mvtnorm, numDeriv, statmod
Depends: R (>= 3.5.0), ltm
LinkingTo: Rcpp, RcppArmadillo
SystemRequirements: C++11
NeedsCompilation: yes
Packaged: 2021-04-26 08:44:38 UTC; ge29weh
Repository: CRAN
Date/Publication: 2021-04-26 10:30:02 UTC

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New package pcds with initial version 0.1.2
Package: pcds
Title: Proximity Catch Digraphs and Their Applications
Version: 0.1.2
Author: Elvan Ceyhan
Maintainer: Elvan Ceyhan <elvanceyhan@gmail.com>
Description: Contains the functions for generating patterns of segregation, association, complete spatial randomness (CSR)) and Uniform data in one, two and three dimensional cases, for testing these patterns based on two invariants of various families of the proximity catch digraphs (PCDs) (see (Ceyhan (2005) ISBN:978-3-639-19063-2). The graph invariants used in testing spatial point data are the domination number (Ceyhan (2011) <doi:10.1080/03610921003597211>) and arc density (Ceyhan et al. (2006) <doi:10.1016/j.csda.2005.03.002>; Ceyhan et al. (2007) <doi:10.1002/cjs.5550350106>) of for two-dimensional data for visualization of PCDs for one, two and three dimensional data. The PCD families considered are Arc-Slice PCDs, Proportional-Edge PCDs and Central Similarity PCDs.
License: GPL-2
Encoding: UTF-8
LazyData: TRUE
Imports: combinat, graphics, interp, plot3D, plotrix, Rdpack (>= 0.7), stats
RdMacros: Rdpack
Suggests: scatterplot3d
NeedsCompilation: no
Packaged: 2021-04-25 23:46:09 UTC; ceyhan
Repository: CRAN
Date/Publication: 2021-04-26 10:00:02 UTC

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New package IGP with initial version 0.2.0
Package: IGP
Title: Interchangeable Gaussian Process Models
Version: 0.2.0
Authors@R: c( person("Collin", "Erickson", email = "collinberickson@gmail.com", role = c("aut", "cre")) )
Description: Creates a Gaussian process model using the specified package. Makes it easy to try different packages in same code, only the package argument needs to be changed. It is essentially a wrapper for the other Gaussian process software packages.
License: GPL-3
Imports: R6, reticulate
Suggests: GPfit, laGP, mlegp, tgp, DiceKriging, CGP, GauPro, hetGP, testthat, lhs, ggplot2, reshape, ContourFunctions, numDeriv
URL: https://github.com/CollinErickson/IGP
BugReports: https://github.com/CollinErickson/IGP/issues
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2021-04-26 02:57:45 UTC; Collin Erickson
Author: Collin Erickson [aut, cre]
Maintainer: Collin Erickson <collinberickson@gmail.com>
Repository: CRAN
Date/Publication: 2021-04-26 10:00:19 UTC

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New package fglsnet with initial version 1.0
Package: fglsnet
Title: A Feasible Generalized Least Squares Estimator for Regression Analysis of Outcomes with Network Dependence
Version: 1.0
Date: 2021-04-20
Description: The function estimates a multivariate regression model for outcomes with network dependence.
Author: Weihua An
Maintainer: Weihua An <weihua.an@emory.edu>
Imports: network, sna, matrixcalc, Matrix, MASS, sandwich, lmtest
License: GPL-3
LazyData: true
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2021-04-25 17:28:36 UTC; wan3
Repository: CRAN
Date/Publication: 2021-04-26 09:40:02 UTC

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New package DEPONS2R with initial version 1.0.3
Package: DEPONS2R
Title: Read, Plot and Analyse Output from the DEPONS Model
Version: 1.0.3
Author: Jacob Nabe-Nielsen
Maintainer: Jacob Nabe-Nielsen <jnn@bios.au.dk>
Description: Methods for analyzing population dynamics and movement tracks simulated using the DEPONS model <https://www.depons.eu>, and for manipulating input raster files and shipping routes.
License: GPL-3
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
Depends: R (>= 3.5.0)
Imports: raster, methods, sp, utils, grDevices, xml2, rgdal, rgeos, jsonlite
NeedsCompilation: no
Packaged: 2021-04-25 18:03:38 UTC; au155800
Repository: CRAN
Date/Publication: 2021-04-26 09:40:05 UTC

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New package refitME with initial version 1.2.0
Package: refitME
Title: Measurement Error Modelling using MCEM
Version: 1.2.0
Authors@R: c(person(given = "Jakub", family = "Stoklosa", role = c("aut", "cre"), email = "j.stoklosa@unsw.edu.au", comment = c(ORCID = "0000-0002-6523-4524")), person(given = "Wenhan", family = "Hwang", role = c("aut", "ctb")), person(given = "David", family = "Warton", role = c("aut", "ctb")), person(given = "Jeremy", family = "Vanderwal", role = "ctb", email = "jjvanderwal@@gmail.com", comment = c("Used the wt.var() function written by Jeremy VanDerWal")))
Description: Fits measurement error models using Monte Carlo Expectation Maximization (MCEM). For specific details on the methodology, see: Greg C. G. Wei & Martin A. Tanner (1990) A Monte Carlo Implementation of the EM Algorithm and the Poor Man's Data Augmentation Algorithms, Journal of the American Statistical Association, 85:411, 699-704 <doi:10.1080/01621459.1990.10474930> For more examples on measurement error modelling using MCEM, see the 'RMarkdown' vignette: "'refitME' R-package tutorial".
Depends: R (>= 4.0.0)
Imports: MASS, SemiPar, mgcv, VGAM, VGAMdata, caret, expm, mvtnorm, sandwich, stats, dplyr
License: GPL-2
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2021-04-25 11:15:06 UTC; z3409479
Author: Jakub Stoklosa [aut, cre] (<https://orcid.org/0000-0002-6523-4524>), Wenhan Hwang [aut, ctb], David Warton [aut, ctb], Jeremy Vanderwal [ctb] (Used the wt.var() function written by Jeremy VanDerWal)
Maintainer: Jakub Stoklosa <j.stoklosa@unsw.edu.au>
Repository: CRAN
Date/Publication: 2021-04-26 08:30:03 UTC

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New package ganGenerativeData with initial version 1.1
Package: ganGenerativeData
Title: Generate Generative Data for a Data Source
Version: 1.1
Date: 2021-04-22
Author: Werner Mueller
Maintainer: Werner Mueller <werner.mueller5@chello.at>
Description: Generative Adversarial Networks are applied to generate generative data for a data source. In iterative training steps the distribution of generated data converges to that of the data source. Reference: Goodfellow et al. (2014) <arXiv:1406.2661v1>.
License: GPL (>= 2)
Imports: Rcpp (>= 1.0.3), tensorflow (>= 2.0.0)
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2021-04-25 15:32:53 UTC; rstudio
Repository: CRAN
Date/Publication: 2021-04-26 08:30:06 UTC

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New package elasdics with initial version 0.1.2
Package: elasdics
Title: Elastic Analysis of Sparse, Dense and Irregular Curves
Version: 0.1.2
Author: Lisa Steyer <lisa.steyer@hu-berlin.de>
Maintainer: Lisa Steyer <lisa.steyer@hu-berlin.de>
Description: Provides functions to align curves and to compute mean curves based on the elastic distance defined in the square-root-velocity framework. For more details on this framework see Srivastava and Klassen (2016, <doi:10.1007/978-1-4939-4020-2>). For more theoretical details on our methods and algorithms see Steyer et al. (2021, <arXiv:2104.11039>).
License: GPL-3
Encoding: UTF-8
Imports: splines, stats, numDeriv
Suggests: testthat, covr
NeedsCompilation: no
Packaged: 2021-04-25 12:20:51 UTC; User
Repository: CRAN
Date/Publication: 2021-04-26 08:30:09 UTC

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New package safejoin with initial version 0.1.0
Package: safejoin
Title: Perform "Safe" Table Joins
Version: 0.1.0
Authors@R: person(given = "Sam", family = "Edwardes", role = c("aut", "cre"), email = "edwardes.s@gmail.com")
Description: The goal of 'safejoin' is to guarantee that when performing joins extra rows are not added to your data. 'safejoin' provides a wrapper around 'dplyr::left_join' that will raise an error when extra rows are unexpectedly added to your data. This can be useful when working with data where you expect there to be a many to one relationship but you are not certain the relationship holds.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: false
Suggests: testthat, knitr, rmarkdown
Imports: dplyr, glue
URL: https://github.com/SamEdwardes/safejoin
BugReports: https://github.com/SamEdwardes/safejoin/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-04-20 13:27:30 UTC; samedwardes
Author: Sam Edwardes [aut, cre]
Maintainer: Sam Edwardes <edwardes.s@gmail.com>
Repository: CRAN
Date/Publication: 2021-04-26 07:30:02 UTC

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New package pomcheckr with initial version 0.1.0
Package: pomcheckr
Title: Graphical Check for Proportional Odds Assumption
Version: 0.1.0
Authors@R: person(given = "Melissa", family = "Wong", role = c("aut", "cre"), email = "melissa.wong.stats@gmail.com", comment = c(ORCID = "0000-0002-2973-6279"))
Description: Implements the method described at the UCLA Statistical Consulting site <https://stats.idre.ucla.edu/r/dae/ordinal-logistic-regression/> for checking if the proportional odds assumption holds for a cumulative logit model.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
Imports: dplyr, tidyr, ggplot2, assertthat, stats, rlang, magrittr, stringr
NeedsCompilation: no
Packaged: 2021-04-24 18:55:51 UTC; melissa
Author: Melissa Wong [aut, cre] (<https://orcid.org/0000-0002-2973-6279>)
Maintainer: Melissa Wong <melissa.wong.stats@gmail.com>
Repository: CRAN
Date/Publication: 2021-04-26 08:00:03 UTC

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New package babelgene with initial version 21.4
Package: babelgene
Title: Gene Orthologs for Model Organisms in a Tidy Data Format
Version: 21.4
Authors@R: person("Igor", "Dolgalev", email = "igor.dolgalev@nyumc.org", role = c("aut", "cre"))
Description: Genomic analysis of model organisms often requires the use of databases based on human data or making comparisons to patient-derived resources. This requires converting genes between human and non-human analogues. The babelgene R package provides predicted gene orthologs/homologs for frequently studied model organisms in an R-friendly tidy/long format. The package integrates orthology assertion predictions sourced from multiple databases as compiled by the HGNC Comparison of Orthology Predictions (HCOP) (Wright et al. 2005 <doi:10.1007/s00335-005-0103-2>, Eyre et al. 2007 <doi:10.1093/bib/bbl030>, Seal et al. 2011 <doi:10.1093/nar/gkq892>).
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://igordot.github.io/babelgene/
BugReports: https://github.com/igordot/babelgene/issues
Depends: R (>= 3.3)
Imports: dplyr, methods, rlang
Suggests: covr, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-04-24 02:41:40 UTC; id460
Author: Igor Dolgalev [aut, cre]
Maintainer: Igor Dolgalev <igor.dolgalev@nyumc.org>
Repository: CRAN
Date/Publication: 2021-04-26 07:40:03 UTC

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Package survival updated to version 3.2-11 with previous version 3.2-10 dated 2021-03-16

Title: Survival Analysis
Description: Contains the core survival analysis routines, including definition of Surv objects, Kaplan-Meier and Aalen-Johansen (multi-state) curves, Cox models, and parametric accelerated failure time models.
Author: Terry M Therneau [aut, cre], Thomas Lumley [ctb, trl] (original S->R port and R maintainer until 2009), Atkinson Elizabeth [ctb], Crowson Cynthia [ctb]
Maintainer: Terry M Therneau <therneau.terry@mayo.edu>

Diff between survival versions 3.2-10 dated 2021-03-16 and 3.2-11 dated 2021-04-26

 DESCRIPTION                 |    8 +-
 MD5                         |  130 ++++++++++++++++++++++----------------------
 R/attrassign.R              |    2 
 R/coxph.R                   |    6 +-
 R/coxph.getdata.R           |    6 +-
 R/model.matrix.coxph.R      |    2 
 R/parsecovar.R              |    4 -
 R/plot.survfit.R            |   46 +++++++++++----
 R/print.coxph.R             |    2 
 R/print.summary.coxph.R     |    2 
 R/pseudo.R                  |    6 +-
 R/pyears.R                  |    5 +
 R/residuals.survfit.R       |    4 -
 R/stacker.R                 |    2 
 R/survcheck.R               |    8 +-
 R/survfit.R                 |    8 +-
 R/survfit.coxphms.R         |   11 ++-
 R/survfitCI.R               |    2 
 R/survfitms.R               |   25 +++++---
 R/yates.R                   |    1 
 build/vignette.rds          |binary
 inst/NEWS.Rd                |   22 +++++++
 inst/doc/adjcurve.pdf       |binary
 inst/doc/approximate.pdf    |binary
 inst/doc/compete.pdf        |binary
 inst/doc/concordance.pdf    |binary
 inst/doc/multi.pdf          |binary
 inst/doc/other.pdf          |binary
 inst/doc/population.pdf     |binary
 inst/doc/splines.pdf        |binary
 inst/doc/survival.Rnw       |    2 
 inst/doc/survival.pdf       |binary
 inst/doc/tiedtimes.pdf      |binary
 inst/doc/timedep.pdf        |binary
 inst/doc/validate.pdf       |binary
 man/concordance.Rd          |    7 +-
 man/frailty.Rd              |    2 
 man/gbsg.Rd                 |    6 +-
 man/rhDNase.Rd              |    2 
 man/rotterdam.Rd            |   10 +--
 man/summary.survfit.Rd      |   11 +++
 man/survfit.Rd              |    3 -
 man/survfit.coxph.Rd        |   36 ++++++++----
 noweb/code.nw               |  130 +++++++++++++++++++++++++-------------------
 noweb/concordance.Rnw       |    4 -
 noweb/coxph.Rnw             |    6 +-
 noweb/coxsurv3.Rnw          |   32 ++++++----
 noweb/parse.Rnw             |    4 -
 noweb/plot.Rnw              |   24 +++++---
 noweb/pyears.Rnw            |    5 +
 noweb/residuals.survfit.Rnw |    4 -
 noweb/survexpm.Rnw          |   10 +--
 noweb/survfit.Rnw           |    8 +-
 noweb/survfitCI.Rnw         |    7 +-
 noweb/survfitms.Rnw         |   25 +++++---
 noweb/yates.Rnw             |    1 
 src/cdecomp.c               |   10 +--
 src/concordance3.c          |    2 
 tests/coxsurv5.R            |    8 ++
 tests/coxsurv5.Rout.save    |   16 ++++-
 tests/mstrata.R             |   23 +++++++
 tests/mstrata.Rout.save     |   29 ++++++++-
 tests/multi2.R              |    2 
 tests/multi2.Rout.save      |    8 +-
 vignettes/refer.bib         |   26 ++++++++
 vignettes/survival.Rnw      |    2 
 66 files changed, 485 insertions(+), 282 deletions(-)

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New package semmcmc with initial version 0.0.4
Package: semmcmc
Title: Bayesian Structural Equation Modeling in Multiple Omics Data Integration
Version: 0.0.4
Date: 2021-04-20
Authors@R: c(person("Arnab", "Maity", email = "arnab.maity@pfizer.com", role = c("aut", "cre")), person("Sang", "Chan Lee", email = "sangchan0624@gmail.com", role = "aut"), person("Bani", "K. Mallick", email = "bmallick@stat.tamu.edu", role = "aut"), person("Samsiddhi", "Bhattacharjee", email = "sb1@nibmg.ac.in", role = "aut"), person("Nidhan", "K. Biswas", email = "nkb1@nibmg.ac.in", role = "aut"))
Description: Provides Markov Chain Monte Carlo (MCMC) routine for the structural equation modelling described in Maity et. al. (2020) <doi:10.1093/bioinformatics/btaa286>. This MCMC sampler is useful when one attempts to perform an integrative survival analysis for multiple platforms of the Omics data where the response is time to event and the predictors are different omics expressions for different platforms.
Depends: R (>= 2.10)
Imports: MASS, msm
License: GPL-3
Encoding: UTF-8
LazyData: FALSE
NeedsCompilation: no
Packaged: 2021-04-22 19:20:44 UTC; MAITYA02
Author: Arnab Maity [aut, cre], Sang Chan Lee [aut], Bani K. Mallick [aut], Samsiddhi Bhattacharjee [aut], Nidhan K. Biswas [aut]
Maintainer: Arnab Maity <arnab.maity@pfizer.com>
Repository: CRAN
Date/Publication: 2021-04-26 06:10:02 UTC

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New package rTLS with initial version 0.2.3.3
Package: rTLS
Title: Tools to Process Point Clouds Derived from Terrestrial Laser Scanning
Version: 0.2.3.3
Authors@R: c(person(given = "J. Antonio", family = "Guzmán Q.", role = c("cre", "aut", "ths", "cph"), email = "antguz06@gmail.com", comment = c(ORCID = "0000-0002-0721-148X")), person(given = "Ronny", family = "Hernandez", role = "aut", email = "ronny.hernandezm@gmail.com", comment = c(ORCID = "0000-0001-6225-7096")), person(given = "Arturo", family = "Sanchez-Azofeifa", role = c("dgs", "sad"), email = "arturo.sanchez@ualberta.ca", comment = c(ORCID = "0000-0001-7768-6600")), person(given = "Marius", family = "Muja", role = "cph", email = "mariusm@cs.ubc.ca", comment = "Copyright holder for FLANN C++ code"), person(given = "David G.", family = "Lowe", role = "cph", email = "lowe@cs.ubc.ca", comment = "Copyright holder for FLANN C++ code"), person(given = "Aguilar", family = "Pablo", role = "cph", comment = "Copyright holder for Boost C++ code"), person(given = "Diggins", family = "Christopher", role = "cph", comment = "Copyright holder for Boost C++ code"), person(given = "Henney", family = "Kevlin", role = "cph", comment = "Copyright holder for Boost C++ code"), person(given = "Yee", family = "Jeremy", role = "cph", email = "jeremyyee@outlook.com.au", comment = "Copyright holder for rflann code"), person(given = "Rabaud", family = "Vincent", role = "hnr", comment = "Honored by a work on dynamic_bitset.h"))
Maintainer: J. Antonio Guzmán Q. <antguz06@gmail.com>
Description: A set of tools to process and calculate metrics on point clouds derived from terrestrial LiDAR (Light Detection and Ranging; TLS). Its creation is based on key aspects of the TLS application in forestry and ecology. Currently, the main routines are based on filtering, neighboring features of points, voxelization, canopy structure, and the creation of artificial stands. It is written using data.table and C++ language and in most of the functions it is possible to use parallel processing to speed-up the routines.
License: GPL (>= 3)
URL: https://github.com/Antguz/rTLS
BugReports: https://github.com/Antguz/rTLS/issues
Depends: data.table (>= 1.14), R (>= 4.0.0)
Imports: alphashape3d, boot, doSNOW (>= 1.0.16), foreach (>= 1.4.4), parallel (>= 3.6.0), Rcpp (>= 1.0.3), RcppProgress (>= 0.4.2), rgeos, rgl, sp
Suggests: knitr, rmarkdown, covr, testthat (>= 3.0.1)
LinkingTo: Rcpp, RcppArmadillo (>= 0.9.870), RcppProgress (>= 0.4.2)
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
LazyDataCompression: bzip2
SystemRequirements: GNU make
ByteCompile: true
NeedsCompilation: yes
Packaged: 2021-04-22 20:53:44 UTC; antguz
Author: J. Antonio Guzmán Q. [cre, aut, ths, cph] (<https://orcid.org/0000-0002-0721-148X>), Ronny Hernandez [aut] (<https://orcid.org/0000-0001-6225-7096>), Arturo Sanchez-Azofeifa [dgs, sad] (<https://orcid.org/0000-0001-7768-6600>), Marius Muja [cph] (Copyright holder for FLANN C++ code), David G. Lowe [cph] (Copyright holder for FLANN C++ code), Aguilar Pablo [cph] (Copyright holder for Boost C++ code), Diggins Christopher [cph] (Copyright holder for Boost C++ code), Henney Kevlin [cph] (Copyright holder for Boost C++ code), Yee Jeremy [cph] (Copyright holder for rflann code), Rabaud Vincent [hnr] (Honored by a work on dynamic_bitset.h)
Repository: CRAN
Date/Publication: 2021-04-26 06:20:02 UTC

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Package manhattanly updated to version 0.3.0 with previous version 0.2.0 dated 2016-11-15

Title: Interactive Q-Q and Manhattan Plots Using 'plotly.js'
Description: Create interactive manhattan, Q-Q and volcano plots that are usable from the R console, in 'Dash' apps, in the 'RStudio' viewer pane, in 'R Markdown' documents, and in 'Shiny' apps. Hover the mouse pointer over a point to show details or drag a rectangle to zoom. A manhattan plot is a popular graphical method for visualizing results from high-dimensional data analysis such as a (epi)genome wide association study (GWAS or EWAS), in which p-values, Z-scores, test statistics are plotted on a scatter plot against their genomic position. Manhattan plots are used for visualizing potential regions of interest in the genome that are associated with a phenotype. Interactive manhattan plots allow the inspection of specific value (e.g. rs number or gene name) by hovering the mouse over a cell, as well as zooming into a region of the genome (e.g. a chromosome) by dragging a rectangle around the relevant area. This work is based on the 'qqman' package and the 'plotly.js' engine. It produces similar manhattan and Q-Q plots as the 'manhattan' and 'qq' functions in the 'qqman' package, with the advantage of including extra annotation information and interactive web-based visualizations directly from R. Once uploaded to a 'plotly' account, 'plotly' graphs (and the data behind them) can be viewed and modified in a web browser.
Author: Sahir Bhatnagar [aut, cre] (http://sahirbhatnagar.com/)
Maintainer: Sahir Bhatnagar <sahir.bhatnagar@gmail.com>

Diff between manhattanly versions 0.2.0 dated 2016-11-15 and 0.3.0 dated 2021-04-26

 DESCRIPTION               |   27 +-
 MD5                       |   55 ++--
 NAMESPACE                 |    3 
 NEWS.md                   |   23 ++
 R/manhattanly.R           |  112 +--------
 R/manhattanr.R            |   88 ++-----
 R/qqly.R                  |  231 ++++++++++----------
 R/qqr.R                   |   40 +--
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 R/volcanoly.R             |  460 ++++++++++++++++++----------------------
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 README.md                 |   20 +
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 man/HapMap.Rd             |    7 
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 tests                     |only
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 vignettes/web_only        |only
 27 files changed, 1270 insertions(+), 1224 deletions(-)

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New package basedosdados with initial version 0.0.5
Package: basedosdados
Title: 'Base Dos Dados' R Client
Version: 0.0.5
Authors@R: person(given = "Pedro", family = "Cavalcante", role = c("aut", "cre"), email = "pedrocolrj@gmail.com")
Description: An R interface to the 'Base dos Dados' API <https:basedosdados.github.io/mais/py_reference_api/>). Authenticate your project, query our tables, save data to disk and memory, all from R.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: purrr, dplyr, tibble, httr, googleAuthR, cli, magrittr, readr, stringr, dotenv, bigrquery, glue, rlang, writexl
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2021-04-23 02:38:05 UTC; pedro
Author: Pedro Cavalcante [aut, cre]
Maintainer: Pedro Cavalcante <pedrocolrj@gmail.com>
Repository: CRAN
Date/Publication: 2021-04-26 06:30:10 UTC

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Package SmallCountRounding updated to version 0.8.0 with previous version 0.7.0 dated 2021-03-09

Title: Small Count Rounding of Tabular Data
Description: A statistical disclosure control tool to protect frequency tables in cases where small values are sensitive. The function PLSrounding() performs small count rounding of necessary inner cells so that all small frequencies of cross-classifications to be published (publishable cells) are rounded. This is equivalent to changing micro data since frequencies of unique combinations are changed. Thus, additivity and consistency are guaranteed. The methodology is described in Langsrud and Heldal (2018) <https://www.researchgate.net/publication/327768398_An_Algorithm_for_Small_Count_Rounding_of_Tabular_Data>.
Author: Øyvind Langsrud [aut, cre], Johan Heldal [aut]
Maintainer: Øyvind Langsrud <oyl@ssb.no>

Diff between SmallCountRounding versions 0.7.0 dated 2021-03-09 and 0.8.0 dated 2021-04-26

 SmallCountRounding-0.7.0/SmallCountRounding/R/ModelMatrixExtra.R                             |only
 SmallCountRounding-0.7.0/SmallCountRounding/data                                             |only
 SmallCountRounding-0.7.0/SmallCountRounding/man/sosialFiktiv.Rd                              |only
 SmallCountRounding-0.8.0/SmallCountRounding/DESCRIPTION                                      |    8 
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 SmallCountRounding-0.8.0/SmallCountRounding/NAMESPACE                                        |    3 
 SmallCountRounding-0.8.0/SmallCountRounding/NEWS.md                                          |    8 
 SmallCountRounding-0.8.0/SmallCountRounding/R/PLSrounding.R                                  |   65 +
 SmallCountRounding-0.8.0/SmallCountRounding/R/RoundViaDummy.R                                |   19 
 SmallCountRounding-0.8.0/SmallCountRounding/R/SmallCountData.R                               |   55 -
 SmallCountRounding-0.8.0/SmallCountRounding/build/partial.rdb                                |only
 SmallCountRounding-0.8.0/SmallCountRounding/inst/doc/Introduction_to_SmallCountRounding.html |    4 
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 SmallCountRounding-0.8.0/SmallCountRounding/man/HDutility.Rd                                 |   88 +-
 SmallCountRounding-0.8.0/SmallCountRounding/man/Lists2formula.Rd                             |   44 -
 SmallCountRounding-0.8.0/SmallCountRounding/man/MakeControl.Rd                               |   44 -
 SmallCountRounding-0.8.0/SmallCountRounding/man/PLS2way.Rd                                   |   68 +-
 SmallCountRounding-0.8.0/SmallCountRounding/man/PLSrounding.Rd                               |  287 ++++----
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Package ipeadatar (with last version 0.1.2) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2021-04-13 0.1.2
2020-05-14 0.1.1
2019-02-22 0.1.0

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Package rflights (with last version 0.1.103) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2019-09-18 0.1.103
2019-08-05 0.1.102
2019-05-16 0.1.0

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Package MAINT.Data updated to version 2.6.0 with previous version 2.5.0 dated 2020-09-24

Title: Model and Analyse Interval Data
Description: Implements methodologies for modelling interval data by Normal and Skew-Normal distributions, considering appropriate parameterizations of the variance-covariance matrix that takes into account the intrinsic nature of interval data, and lead to four different possible configuration structures. The Skew-Normal parameters can be estimated by maximum likelihood, while Normal parameters may be estimated by maximum likelihood or robust trimmed maximum likelihood methods.
Author: Pedro Duarte Silva <psilva@porto.ucp.pt>, Paula Brito <mpbrito.fep.up.pt>
Maintainer: Pedro Duarte Silva <psilva@porto.ucp.pt>

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Package ExamPAData updated to version 0.3.0 with previous version 0.2.1 dated 2021-03-23

Title: Data Sets for Predictive Analytics Exam
Description: Contains all data sets for Exam PA: Predictive Analytics at <https://exampa.net/>.
Author: Guanglai Li [aut, cre], Sam Castillo [aut]
Maintainer: Guanglai Li <liguanglai@gmail.com>

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Sun, 25 Apr 2021

Package nse updated to version 1.20 with previous version 1.19 dated 2018-09-13

Title: Numerical Standard Errors Computation in R
Description: Collection of functions designed to calculate numerical standard error (NSE) of univariate time series as described in Ardia et al. (2018) <doi:10.1515/jtse-2017-0011> and Ardia and Bluteau (2017) <doi:10.21105/joss.00172>.
Author: David Ardia [aut] (<https://orcid.org/0000-0003-2823-782X>), Keven Bluteau [aut, cre] (<https://orcid.org/0000-0003-2990-4807>)
Maintainer: Keven Bluteau <keven.bluteau@hec.ca>

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Package dm updated to version 0.1.13 with previous version 0.1.12 dated 2021-02-15

Title: Relational Data Models
Description: Provides tools for working with multiple related tables, stored as data frames or in a relational database. Multiple tables (data and metadata) are stored in a compound object, which can then be manipulated with a pipe-friendly syntax.
Author: Tobias Schieferdecker [aut], Kirill Müller [aut, cre] (<https://orcid.org/0000-0002-1416-3412>), Darko Bergant [aut], Katharina Brunner [ctb], James Wondrasek [ctb], energie360° AG [fnd], cynkra GmbH [fnd, cph]
Maintainer: Kirill Müller <krlmlr+r@mailbox.org>

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Package SleepCycles updated to version 1.1.2 with previous version 1.1.1 dated 2021-03-29

Title: Sleep Cycle Detection
Description: Sleep cycles are largely detected according to the originally proposed criteria by Feinberg & Floyd (1979) <doi:10.1111/j.1469-8986.1979.tb02991.x> as described in Blume & Cajochen (2021) <doi:10.1016/j.mex.2021.101318>.
Author: Christine Blume [aut, cre] (<https://orcid.org/0000-0003-2328-9612>)
Maintainer: Christine Blume <christine.blume@sbg.ac.at>

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Package politeness updated to version 0.7.8 with previous version 0.7.7 dated 2021-03-01

Title: Detecting Politeness Features in Text
Description: Detecting markers of politeness in English natural language. This package allows researchers to easily visualize and quantify politeness between groups of documents. This package combines prior research on the linguistic markers of politeness. We thank the Spencer Foundation, the Hewlett Foundation, and Harvard's Institute for Quantitative Social Science for support.
Author: Mike Yeomans, Alejandro Kantor, Dustin Tingley
Maintainer: Mike Yeomans <mk.yeomans@gmail.com>

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Package doc2concrete updated to version 0.5.3 with previous version 0.5.2 dated 2021-01-13

Title: Measuring Concreteness in Natural Language
Description: Models for detecting concreteness in natural language. This package is built in support of Yeomans (2021) <doi:10.1016/j.obhdp.2020.10.008>, which reviews linguistic models of concreteness in several domains. Here, we provide an implementation of the best-performing domain-general model (from Brysbaert et al., (2014) <doi:10.3758/s13428-013-0403-5>) as well as two pre-trained models for the feedback and plan-making domains.
Author: Mike Yeomans
Maintainer: Mike Yeomans <mk.yeomans@gmail.com>

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Package quarks updated to version 1.0.6 with previous version 1.0.5 dated 2021-03-01

Title: Simple Methods for Calculating Value at Risk and Expected Shortfall
Description: Enables the user to calculate Value at Risk (VaR) and Expected Shortfall (ES) by means of various types of historical simulation. Currently plain-, age-, volatility-weighted- and filtered historical simulation are implemented in this package. Volatility weighting can be carried out via an exponentially weighted moving average model (EWMA) or other GARCH-type models. The methods of the package are described in Gurrola-Perez, P. and Murphy, D. (2015) <https://EconPapers.repec.org/RePEc:boe:boeewp:0525>.
Author: Sebastian Letmathe [aut, cre] (Paderborn University, Germany)
Maintainer: Sebastian Letmathe <sebastian.letmathe@uni-paderborn.de>

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Package mapSpain updated to version 0.2.3 with previous version 0.2.2 dated 2021-04-17

Title: Administrative Boundaries of Spain
Description: Administrative Boundaries of Spain at several levels (CCAA, Provinces, Municipalities) based on the GISCO Eurostat database <https://ec.europa.eu/eurostat/web/gisco> and 'CartoBase SIANE' from 'Instituto Geografico Nacional' <https://www.ign.es/>. It also provides a 'leaflet' plugin and the ability of downloading and processing static tiles.
Author: Diego Hernangómez [aut, cre, cph] (<https://orcid.org/0000-0001-8457-4658>), EuroGeographics [cph] (for the administrative boundaries.), Instituto Geográfico Nacional [cph] (for the administrative boundaries.)
Maintainer: Diego Hernangómez <diego.hernangomezherrero@gmail.com>

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Package ubiquity updated to version 1.0.5 with previous version 1.0.4 dated 2021-04-18

Title: PKPD, PBPK, and Systems Pharmacology Modeling Tools
Description: Complete work flow for the analysis of pharmacokinetic pharmacodynamic (PKPD), physiologically-based pharmacokinetic (PBPK) and systems pharmacology models including: creation of ordinary differential equation-based models, pooled parameter estimation, individual/population based simulations, rule-based simulations for clinical trial design and modeling assays, deployment with a customizable 'Shiny' app, and non-compartmental analysis. System-specific analysis templates can be generated and each element includes integrated reporting with 'PowerPoint' and 'Word'.
Author: John Harrold [aut, cre] (<https://orcid.org/0000-0003-2052-4373>)
Maintainer: John Harrold <john.m.harrold@gmail.com>

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Package entropy updated to version 1.3.0 with previous version 1.2.1 dated 2014-11-14

Title: Estimation of Entropy, Mutual Information and Related Quantities
Description: Implements various estimators of entropy for discrete random variables, including the shrinkage estimator by Hausser and Strimmer (2009), the maximum likelihood and the Millow-Madow estimator, various Bayesian estimators, and the Chao-Shen estimator. It also offers an R interface to the NSB estimator. Furthermore, the package provides functions for estimating the Kullback-Leibler divergence, the chi-squared divergence, mutual information, and the chi-squared divergence of independence. It also computes the G statistic and the chi-squared statistic and corresponding p-values. Furthermore, there are functions for discretizing continuous random variables.
Author: Jean Hausser and Korbinian Strimmer
Maintainer: Korbinian Strimmer <strimmerlab@gmail.com>

Diff between entropy versions 1.2.1 dated 2014-11-14 and 1.3.0 dated 2021-04-25

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More information about entropy at CRAN
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Package cwbtools (with last version 0.3.3) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2021-02-23 0.3.3
2021-02-17 0.3.2
2020-07-21 0.3.1
2020-07-09 0.3.0

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Package targets (with last version 0.4.1) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2021-04-22 0.4.1
2021-03-28 0.3.1
2021-03-27 0.3.0
2021-02-27 0.2.0
2021-02-01 0.1.0
2021-01-21 0.0.2

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Package GermaParl (with last version 1.5.2) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2020-09-23 1.5.2
2020-07-27 1.5.1
2020-07-24 1.5.0

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Package sharpshootR (with last version 1.8) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2021-04-24 1.8
2021-01-27 1.7
2020-10-20 1.6.5
2020-01-30 1.6

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Package doconv (with last version 0.1.1) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2021-03-31 0.1.1
2021-03-30 0.1.0

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Package tarchetypes (with last version 0.1.1) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2021-03-27 0.1.1
2021-02-27 0.1.0
2021-02-01 0.0.2
2021-02-01 0.0.4

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Package diyar updated to version 0.3.0 with previous version 0.2.0 dated 2020-09-17

Title: Record Linkage and Epidemiological Case Definitions in R
Description: An R package for record linkage and implementing epidemiological case definitions in R. Record linkage is implemented either through a multistage deterministic approach or a probabilistic approach. Matching records are assigned to unique groups. There are mechanisms to address missing data and conflicting matches across linkage stages. Track and assign events (e.g. sample collection) and periods (e.g. hospital admission) to unique groups based on a case definition. The tracking process permits several options such as episode lengths and recurrence. Duplicate events or records can then be identified for removal or further analyses.
Author: Olisaeloka Nsonwu
Maintainer: Olisaeloka Nsonwu <olisa.nsonwu@gmail.com>

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Package bvartools updated to version 0.2.0 with previous version 0.1.0 dated 2020-09-18

Title: Bayesian Inference of Vector Autoregressive Models
Description: Assists in the set-up of algorithms for Bayesian inference of vector autoregressive (VAR) models. Functions for posterior simulation, forecasting, impulse response analysis and forecast error variance decomposition are largely based on the introductory texts of Chan, Koop, Poirier and Tobias (2019, ISBN: 9781108437493), Koop and Korobilis (2010) <doi:10.1561/0800000013> and Luetkepohl (2006, ISBN: 9783540262398).
Author: Franz X. Mohr [aut, cre]
Maintainer: Franz X. Mohr <bvartools@outlook.com>

Diff between bvartools versions 0.1.0 dated 2020-09-18 and 0.2.0 dated 2021-04-25

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More information about bvartools at CRAN
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Package ape updated to version 5.5 with previous version 5.4-1 dated 2020-08-13

Title: Analyses of Phylogenetics and Evolution
Description: Functions for reading, writing, plotting, and manipulating phylogenetic trees, analyses of comparative data in a phylogenetic framework, ancestral character analyses, analyses of diversification and macroevolution, computing distances from DNA sequences, reading and writing nucleotide sequences as well as importing from BioConductor, and several tools such as Mantel's test, generalized skyline plots, graphical exploration of phylogenetic data (alex, trex, kronoviz), estimation of absolute evolutionary rates and clock-like trees using mean path lengths and penalized likelihood, dating trees with non-contemporaneous sequences, translating DNA into AA sequences, and assessing sequence alignments. Phylogeny estimation can be done with the NJ, BIONJ, ME, MVR, SDM, and triangle methods, and several methods handling incomplete distance matrices (NJ*, BIONJ*, MVR*, and the corresponding triangle method). Some functions call external applications (PhyML, Clustal, T-Coffee, Muscle) whose results are returned into R.
Author: Emmanuel Paradis [aut, cre, cph] (<https://orcid.org/0000-0003-3092-2199>), Simon Blomberg [aut, cph] (<https://orcid.org/0000-0003-1062-0839>), Ben Bolker [aut, cph] (<https://orcid.org/0000-0002-2127-0443>), Joseph Brown [aut, cph] (<https://orcid.org/0000-0002-3835-8062>), Santiago Claramunt [aut, cph] (<https://orcid.org/0000-0002-8926-5974>), Julien Claude [aut, cph] (<https://orcid.org/0000-0002-9267-1228>), Hoa Sien Cuong [aut, cph], Richard Desper [aut, cph], Gilles Didier [aut, cph] (<https://orcid.org/0000-0003-0596-9112>), Benoit Durand [aut, cph], Julien Dutheil [aut, cph] (<https://orcid.org/0000-0001-7753-4121>), RJ Ewing [aut, cph], Olivier Gascuel [aut, cph], Thomas Guillerme [aut, cph] (<https://orcid.org/0000-0003-4325-1275>), Christoph Heibl [aut, cph] (<https://orcid.org/0000-0002-7655-3299>), Anthony Ives [aut, cph] (<https://orcid.org/0000-0001-9375-9523>), Bradley Jones [aut, cph] (<https://orcid.org/0000-0003-4498-1069>), Franz Krah [aut, cph] (<https://orcid.org/0000-0001-7866-7508>), Daniel Lawson [aut, cph] (<https://orcid.org/0000-0002-5311-6213>), Vincent Lefort [aut, cph], Pierre Legendre [aut, cph] (<https://orcid.org/0000-0002-3838-3305>), Jim Lemon [aut, cph], Guillaume Louvel [aut, cph] (<https://orcid.org/0000-0002-7745-0785>), Eric Marcon [aut, cph] (<https://orcid.org/0000-0002-5249-321X>), Rosemary McCloskey [aut, cph] (<https://orcid.org/0000-0002-9772-8553>), Johan Nylander [aut, cph], Rainer Opgen-Rhein [aut, cph], Andrei-Alin Popescu [aut, cph], Manuela Royer-Carenzi [aut, cph], Klaus Schliep [aut, cph] (<https://orcid.org/0000-0003-2941-0161>), Korbinian Strimmer [aut, cph] (<https://orcid.org/0000-0001-7917-2056>), Damien de Vienne [aut, cph] (<https://orcid.org/0000-0001-9532-5251>)
Maintainer: Emmanuel Paradis <Emmanuel.Paradis@ird.fr>

Diff between ape versions 5.4-1 dated 2020-08-13 and 5.5 dated 2021-04-25

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More information about ape at CRAN
Permanent link

New package seminr with initial version 2.0.2
Package: seminr
Title: Building and Estimating Structural Equation Models
Version: 2.0.2
Date: 2021-04-01
Authors@R: c(person("Soumya", "Ray", email = "soumya.ray@gmail.com", role = c("aut", "ths")), person("Nicholas Patrick", "Danks", email = "nicholasdanks@hotmail.com", role = c("aut","cre")), person("André", "Calero Valdez", role = "aut", email = "andrecalerovaldez@gmail.com"), person("Juan Manuel Velasquez", "Estrada", role = "ctb"), person("James", "Uanhoro", role = "ctb", email = "James.uanhoro@gmail.com"), person("Johannes", "Nakayama", role = "ctb", email = "johannes.nakayama@rwth-aachen.de"), person("Lilian", "Koyan", role = "ctb", email = "lilian.kojan@rwth-aachen.de"), person("Laura", "Burbach", role = "ctb", email = "laura.burbach@rwth-aachen.de"), person("Arturo Heynar", "Cano Bejar", role = "ctb", email = "arturocano997@gmail.com"), person("Susanne", "Adler", role = "ctb", email = "susanne.adler@ovgu.de") )
Description: A powerful, easy to syntax for specifying and estimating complex Structural Equation Models. Models can be estimated using Partial Least Squares Path Modeling or Covariance-Based Structural Equation Modeling or covariance based Confirmatory Factor Analysis.
Imports: parallel, lavaan, glue
License: GPL-3
Depends: R (>= 3.5.0)
LazyData: TRUE
Suggests: knitr, testthat, rmarkdown, DiagrammeR (>= 1.0.6), DiagrammeRsvg (>= 0.1), webp, vdiffr
Enhances: rsvg (>= 2.1), semPlot
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2021-04-24 09:50:59 UTC; danksnicholas
Author: Soumya Ray [aut, ths], Nicholas Patrick Danks [aut, cre], André Calero Valdez [aut], Juan Manuel Velasquez Estrada [ctb], James Uanhoro [ctb], Johannes Nakayama [ctb], Lilian Koyan [ctb], Laura Burbach [ctb], Arturo Heynar Cano Bejar [ctb], Susanne Adler [ctb]
Maintainer: Nicholas Patrick Danks <nicholasdanks@hotmail.com>
Repository: CRAN
Date/Publication: 2021-04-25 07:40:02 UTC

More information about seminr at CRAN
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Package naijR updated to version 0.2.1 with previous version 0.1.4 dated 2020-08-25

Title: Operations to Ease Data Analyses Specific to Nigeria
Description: A set of convenience functions as well as geographical/political data about Nigeria, aimed at simplifying work with data and information that are specific to the country.
Author: Victor Ordu [aut, cre] (<https://orcid.org/0000-0003-3716-0668>)
Maintainer: Victor Ordu <victorordu@outlook.com>

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New package cecs with initial version 0.2.0
Package: cecs
Title: R Interface for the C Implementation of CEC Benchmark Functions
Version: 0.2.0
Authors@R: c( person("Eryk", "Warchulski", role = c("aut", "cre"), email = "ewarchul@gmail.com"), person("Dariusz", "Jagodziński", role = c("cph"), email = "d.jagodzinski@elka.pw.edu.pl"), person("Yasser", "Gonzalez-Fernandez", role = c("cph"), email = "yasser@yassergonzalez.com"), person("Mauricio", "Zambrano-Bigiarini", role = c("cph"), email = "mzb.devel@gmail.com") )
Description: Goal of this package is to provide access to benchmark functions defined for the Special Session and Competition on Real-Parameter Single Objective Optimization in one place. The package contains functions from following years: 2013, 2014, 2015, 2017, 2019, 2021 (<https://github.com/P-N-Suganthan>). Implementations of CEC-2013 (Y. Gonzalez-Fernandez & M. Zambrano-Bigiarini) and CEC2017 (D. Jagodziński) are taken from existed R packages. Also, the original C source code has been cleaned and reorganized for better readability.
License: GPL (>= 3)
BugReports: https://github.com/ewarchul/cecs/issues
URL: https://github.com/ewarchul/cecs
Depends: R (>= 3.6.0)
Imports: stringr (>= 1.4.0), cec2013 (>= 0.1.5)
Encoding: UTF-8
Suggests: testthat (>= 3.0.0), purrr (>= 0.3.4)
NeedsCompilation: yes
Packaged: 2021-04-23 15:24:05 UTC; ewarchul
Author: Eryk Warchulski [aut, cre], Dariusz Jagodziński [cph], Yasser Gonzalez-Fernandez [cph], Mauricio Zambrano-Bigiarini [cph]
Maintainer: Eryk Warchulski <ewarchul@gmail.com>
Repository: CRAN
Date/Publication: 2021-04-25 07:40:07 UTC

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Package seqmagick updated to version 0.1.5 with previous version 0.1.4 dated 2020-09-22

Title: Sequence Manipulation Utilities
Description: Supports reading and writing sequences for different formats (currently interleaved and sequential formats for 'FASTA' and 'PHYLIP'), file conversion, and manipulation (e.g. filter sequences that contain specify pattern, export consensus sequence from an alignment).
Author: Guangchuang Yu [aut, cre] (<https://orcid.org/0000-0002-6485-8781>)
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>

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Package pems.utils updated to version 0.2.29.1 with previous version 0.2.26.4 dated 2018-11-18

Title: Portable Emissions (and Other Mobile) Measurement System Utilities
Description: Utility functions for the handling, analysis and visualisation of data from portable emissions measurement systems ('PEMS') and other similar mobile activity monitoring devices. The package includes a dedicated 'pems' data class that manages many of the quality control, unit handling and data archiving issues that can hinder efforts to standardise 'PEMS' research.
Author: Karl Ropkins [aut, cre], Adrian Felipe Ortega Calle [ctb]
Maintainer: Karl Ropkins <karl.ropkins@gmail.com>

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Package genomicper (with last version 1.6) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2016-07-05 1.6

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Package rock (with last version 0.1.1) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2020-10-18 0.1.1

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Package trundler (with last version 0.1.19) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2020-07-28 0.1.19
2020-07-20 0.1.17
2020-07-12 0.1.16
2020-07-11 0.1.15
2020-07-05 0.1.14
2020-07-03 0.1.13

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Package emulator updated to version 1.2-21 with previous version 1.2-20 dated 2019-03-19

Title: Bayesian Emulation of Computer Programs
Description: Allows one to estimate the output of a computer program, as a function of the input parameters, without actually running it. The computer program is assumed to be a Gaussian process, whose parameters are estimated using Bayesian techniques that give a PDF of expected program output. This PDF is conditional on a training set of runs, each consisting of a point in parameter space and the model output at that point. The emphasis is on complex codes that take weeks or months to run, and that have a large number of undetermined input parameters; many climate prediction models fall into this class. The emulator essentially determines Bayesian posterior estimates of the PDF of the output of a model, conditioned on results from previous runs and a user-specified prior linear model. The package includes functionality to evaluate quadratic forms efficiently.
Author: Robin K. S. Hankin [aut, cre] (<https://orcid.org/0000-0001-5982-0415>)
Maintainer: Robin K. S. Hankin <hankin.robin@gmail.com>

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Sat, 24 Apr 2021

Package mitre updated to version 0.6.0 with previous version 0.5.2 dated 2021-03-22

Title: Cybersecurity MITRE Standards Data and Digraphs
Description: Extract, transform and load MITRE standards. This package gives you an approach to cybersecurity data sets. All data sets are build on runtime downloading raw data from MITRE public services. MITRE <https://www.mitre.org/> is a government-funded research organization based in Bedford and McLean. Current version includes most used standards as data frames. It also provide a list of nodes and edges with all relationships.
Author: Humbert Costas [aut, cre]
Maintainer: Humbert Costas <humbert.costas@gmail.com>

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Package maotai updated to version 0.1.9 with previous version 0.1.8 dated 2020-10-31

Title: Tools for Matrix Algebra, Optimization and Inference
Description: Matrix is an universal and sometimes primary object/unit in applied mathematics and statistics. We provide a number of algorithms for selected problems in optimization and statistical inference. For general exposition to the topic with focus on statistical context, see the book by Banerjee and Roy (2014, ISBN:9781420095388).
Author: Kisung You [aut, cre] (<https://orcid.org/0000-0002-8584-459X>)
Maintainer: Kisung You <kyoustat@gmail.com>

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Package kim updated to version 0.3.13 with previous version 0.2.172 dated 2021-03-28

Title: Behavioral Scientists' Analysis Toolkit
Description: Miscellaneous functions to simplify and expedite analyses of experimental data. Examples include a function that plots sample means of groups in a factorial experimental design, a function that conducts robust regressions with bootstrapped samples, and a function that conducts robust two-way analysis of variance. Many of the functions will require installing package(s) listed in the Selected References. Selected References: Canty & Ripley (2021) <https://CRAN.R-project.org/package=boot>. Cohen (1988) <doi:10.4324/9780203771587>. DeCarlo (1997) <doi:10.1037/1082-989X.2.3.292>. Dinno (2018) <https://CRAN.R-project.org/package=paran>. Doane & Seward (2011) <doi:10.1080/10691898.2011.11889611>. Dowle et al. (2021) <https://CRAN.R-project.org/package=data.table>. Edwards et al. (2020) <https://CRAN.R-project.org/package=lemon>. Fox et al. (2020) <https://CRAN.R-project.org/package=car>. Hester et al. (2020) <https://CRAN.R-project.org/package=remotes>. Ioannidis (2005) <doi:10.1371/journal.pmed.0020124> Kim (2021) <doi:10.5281/zenodo.4445388>. Kim (2020) <https://CRAN.R-project.org/package=ezr>. Long (2020) <https://CRAN.R-project.org/package=interactions>. Mair & Wilcox (2021) <https://CRAN.R-project.org/package=WRS2>. Pasek et al. (2020) <https://CRAN.R-project.org/package=weights>. Simmons et al. (2011) <doi:10.1177/0956797611417632>. Tingley et al. (2019) <https://CRAN.R-project.org/package=mediation>. Torchiano (2020) <https://CRAN.R-project.org/package=effsize>. Wickham et al. (2020) <https://CRAN.R-project.org/package=ggplot2>. Wilke (2021) <https://CRAN.R-project.org/package=ggridges>.
Author: Jin Kim [aut, cre] (<https://orcid.org/0000-0002-5013-3958>)
Maintainer: Jin Kim <jin.m.kim@yale.edu>

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Package inti updated to version 0.3.0 with previous version 0.2.0 dated 2021-04-14

Title: Tools and Statistical Procedures in Plant Science
Description: The 'inti' package is part of the 'inkaverse' project for developing different procedures and tools used in plant science and experimental designs. The mean aim of the package is to support researchers during the planning of experiments and data collection (tarpuy()), data analysis and graphics (yupana()) , and technical writing (rtciles()). Learn more about the 'inkaverse' project at <https://inkaverse.com/>.
Author: Flavio Lozano-Isla [aut, cre] (<https://orcid.org/0000-0002-0714-669X>)
Maintainer: Flavio Lozano-Isla <flavjack@gmail.com>

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Package idiogramFISH updated to version 2.0.4 with previous version 2.0.3 dated 2021-04-13

Title: Shiny App. Idiograms with Marks and Karyotype Indices
Description: Plot idiograms of karyotypes, plasmids, circular chr. having a set of data.frames for chromosome data and optionally mark data. Two styles of chromosomes can be used: without or with visible chromatids (when not circular). Supports micrometers, cM and Mb or any unit. Three styles of centromeres are available: triangular, rounded and inProtein; and six styles of marks are available: square (squareLeft), dots, cM (cMLeft), cenStyle, upArrow (downArrow), exProtein (inProtein); its legend (label) can be drawn inline or to the right of karyotypes. Idiograms can also be plotted in concentric circles. It is possible to calculate chromosome indices by Levan et al. (1964) <doi:10.1111/j.1601-5223.1964.tb01953.x>, karyotype indices of Watanabe et al. (1999) <doi:10.1007/PL00013869> and Romero-Zarco (1986) <doi:10.2307/1221906> and classify chromosomes by morphology Guerra (1986) and Levan et al. (1964).
Author: Fernando Roa [aut, cre], Mariana PC Telles [ctb]
Maintainer: Fernando Roa <froao@unal.edu.co>

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Package emmeans updated to version 1.6.0 with previous version 1.5.5-1 dated 2021-03-21

Title: Estimated Marginal Means, aka Least-Squares Means
Description: Obtain estimated marginal means (EMMs) for many linear, generalized linear, and mixed models. Compute contrasts or linear functions of EMMs, trends, and comparisons of slopes. Plots and other displays. Least-squares means are discussed, and the term "estimated marginal means" is suggested, in Searle, Speed, and Milliken (1980) Population marginal means in the linear model: An alternative to least squares means, The American Statistician 34(4), 216-221 <doi:10.1080/00031305.1980.10483031>.
Author: Russell V. Lenth [aut, cre, cph], Paul Buerkner [ctb], Maxime Herve [ctb], Jonathon Love [ctb], Hannes Riebl [ctb], Henrik Singmann [ctb]
Maintainer: Russell V. Lenth <russell-lenth@uiowa.edu>

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Package bcdata updated to version 0.2.3 with previous version 0.2.2 dated 2021-03-12

Title: Search and Retrieve Data from the BC Data Catalogue
Description: Search, query, and download tabular and 'geospatial' data from the British Columbia Data Catalogue (<https://catalogue.data.gov.bc.ca/>). Search catalogue data records based on keywords, data licence, sector, data format, and B.C. government organization. View metadata directly in R, download many data formats, and query 'geospatial' data available via the B.C. government Web Feature Service ('WFS') using 'dplyr' syntax.
Author: Andy Teucher [aut, cre] (<https://orcid.org/0000-0002-7840-692X>), Sam Albers [aut, ctb] (<https://orcid.org/0000-0002-9270-7884>), Stephanie Hazlitt [aut, ctb] (<https://orcid.org/0000-0002-3161-2304>), Province of British Columbia [cph]
Maintainer: Andy Teucher <andy.teucher@gov.bc.ca>

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Package exampletestr updated to version 1.6.3 with previous version 1.6.2 dated 2020-11-17

Title: Help for Writing Unit Tests Based on Function Examples
Description: Take the examples written in your documentation of functions and use them to create shells (skeletons which must be manually completed by the user) of test files to be tested with the 'testthat' package. Sort of like python 'doctests' for R.
Author: Rory Nolan [aut, cre] (<https://orcid.org/0000-0002-5239-4043>), Sergi Padilla-Parra [ths] (<https://orcid.org/0000-0002-8010-9481>), Thomas Quinn [rev] (<https://orcid.org/0000-0003-0286-6329>), Laurent Gatto [rev] (<https://orcid.org/0000-0002-1520-2268>)
Maintainer: Rory Nolan <rorynoolan@gmail.com>

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Package fxTWAPLS updated to version 0.0.6 with previous version 0.0.5 dated 2021-01-29

Title: An Improved Version of WA-PLS
Description: The goal of this package is to provide an improved version of WA-PLS (Weighted Averaging Partial Least Squares) by including the tolerances of taxa and the frequency of the sampled climate variable. This package also provides a way of leave-out cross-validation that removes both the test site and sites that are both geographically close and climatically close for each cycle, to avoid the risk of pseudo-replication.
Author: Mengmeng Liu [aut] (<https://orcid.org/0000-0001-6250-0148>), Iain Colin Prentice [aut] (<https://orcid.org/0000-0002-1296-6764>), Cajo J. F. ter Braak [aut] (<https://orcid.org/0000-0002-0414-8745>), Sandy P. Harrison [aut] (<https://orcid.org/0000-0001-5687-1903>), Roberto Villegas-Diaz [aut, cre] (<https://orcid.org/0000-0001-5036-8661>), SPECIAL Research Group @ University of Reading [cph]
Maintainer: Roberto Villegas-Diaz <r.villegas-diaz@reading.ac.uk>

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Package clickR updated to version 0.7.35 with previous version 0.6.64 dated 2021-03-12

Title: Semi-Automatic Preprocessing of Messy Data with Change Tracking for Dataset Cleaning
Description: Tools for assessing data quality, performing exploratory analysis, and semi-automatic preprocessing of messy data with change tracking for integral dataset cleaning.
Author: David Hervas Marin
Maintainer: David Hervas Marin <ddhervas@yahoo.es>

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Package projects updated to version 2.1.3 with previous version 2.1.1 dated 2020-05-29

Title: A Project Infrastructure for Researchers
Description: Provides a project infrastructure with a focus on manuscript creation. Creates a project folder with a single command, containing subdirectories for specific components, templates for manuscripts, and so on.
Author: Nik Krieger [aut, cre], Adam Perzynski [aut], Jarrod Dalton [aut]
Maintainer: Nik Krieger <nk@case.edu>

Diff between projects versions 2.1.1 dated 2020-05-29 and 2.1.3 dated 2021-04-24

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More information about projects at CRAN
Permanent link

Package OpenMx updated to version 2.19.5 with previous version 2.19.1 dated 2021-03-08

Title: Extended Structural Equation Modelling
Description: Create structural equation models that can be manipulated programmatically. Models may be specified with matrices or paths (LISREL or RAM) Example models include confirmatory factor, multiple group, mixture distribution, categorical threshold, modern test theory, differential Fit functions include full information maximum likelihood, maximum likelihood, and weighted least squares. equations, state space, and many others. Support and advanced package binaries available at <http://openmx.ssri.psu.edu>. The software is described in Neale, Hunter, Pritikin, Zahery, Brick, Kirkpatrick, Estabrook, Bates, Maes, & Boker (2016) <doi:10.1007/s11336-014-9435-8>.
Author: Steven M. Boker [aut], Michael C. Neale [aut], Hermine H. Maes [aut], Michael J. Wilde [ctb], Michael Spiegel [aut], Timothy R. Brick [aut], Ryne Estabrook [aut], Timothy C. Bates [aut], Paras Mehta [ctb], Timo von Oertzen [ctb], Ross J. Gore [aut], Michael D. Hunter [aut], Daniel C. Hackett [ctb], Julian Karch [ctb], Andreas M. Brandmaier [ctb], Joshua N. Pritikin [aut, cre], Mahsa Zahery [aut], Robert M. Kirkpatrick [aut], Yang Wang [ctb], Ben Goodrich [ctb], Charles Driver [ctb], Massachusetts Institute of Technology [cph], S. G. Johnson [cph], Association for Computing Machinery [cph], Dieter Kraft [cph], Stefan Wilhelm [cph], Sarah Medland [cph], Carl F. Falk [cph], Matt Keller [cph], Manjunath B G [cph], The Regents of the University of California [cph], Lester Ingber [cph], Wong Shao Voon [cph], Juan Palacios [cph], Jiang Yang [cph], Gael Guennebaud [cph], Jitse Niesen [cph]
Maintainer: Joshua N. Pritikin <jpritikin@pobox.com>

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Permanent link

Package twenty48 updated to version 0.2.0 with previous version 0.1.0 dated 2020-09-23

Title: Play a Game of 2048 in the Console
Description: Generates a game of 2048 that can be played in the console. Supports grids of arbitrary sizes, undoing the last move, and resuming a game that was exited during the current session.
Author: Alexander Rossell Hayes [aut, cre, cph] (<https://orcid.org/0000-0001-9412-0457>)
Maintainer: Alexander Rossell Hayes <alexander@rossellhayes.com>

Diff between twenty48 versions 0.1.0 dated 2020-09-23 and 0.2.0 dated 2021-04-24

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Package TensorTest2D updated to version 1.0.2 with previous version 1.0.1 dated 2021-04-18

Title: Fitting Second-Order Tensor Data
Description: An implementation of fitting generalized linear models on second-order tensor type data. The functions within this package mainly focus on parameter estimation, including parameter coefficients and standard deviation.
Author: Mark Chen [aut, cre], Sheng-Mao Chang [aut], Wenbin Lu [aut], Jung-Ying Tzeng [aut]
Maintainer: Mark Chen <l501l501l@gmail.com>

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New package survivalAnalysis with initial version 0.2.0
Package: survivalAnalysis
Title: High-Level Interface for Survival Analysis and Associated Plots
Version: 0.2.0
Author: Marcel Wiesweg [aut, cre]
Authors@R: person("Marcel", "Wiesweg", email = "marcel.wiesweg@uk-essen.de", role = c("aut", "cre"))
Maintainer: Marcel Wiesweg <marcel.wiesweg@uk-essen.de>
Description: A high-level interface to perform survival analysis, including Kaplan-Meier analysis and log-rank tests and Cox regression. Aims at providing a clear and elegant syntax, support for use in a pipeline, structured output and plotting. Builds upon the 'survminer' package for Kaplan-Meier plots and provides a customizable implementation for forest plots. Kaplan & Meier (1958) <doi:10.1080/01621459.1958.10501452> Cox (1972) <JSTOR:2985181> Peto & Peto (1972) <JSTOR:2344317>.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.3.0)
Imports: grDevices, graphics, stats, utils, survival, rlang (>= 0.2.0), dplyr (>= 0.8.0), forcats, magrittr, purrr, stringr, tibble, tidyr, gridExtra, ggplot2 (>= 2.2.1), scales, survminer (> 0.4.0), cowplot, tidytidbits
Suggests: knitr, rmarkdown, tidyverse
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-04-23 14:27:16 UTC; marcel
Repository: CRAN
Date/Publication: 2021-04-24 12:20:05 UTC

More information about survivalAnalysis at CRAN
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Package Riex updated to version 1.0.2 with previous version 1.0.1 dated 2019-05-05

Title: IEX Stocks and Market Data
Description: Retrieves efficiently and reliably Investors Exchange ('IEX') stock and market data using 'IEX Cloud API'. The platform is offered by Investors Exchange Group (IEX Group). Main goal is to leverage 'R' capabilities including existing packages to effectively provide financial and statistical analysis as well as visualization in support of fact-based decisions. In addition, continuously improve and enhance 'Riex' by applying best practices and being in tune with users' feedback and requirements. Please, make sure to review and acknowledge Investors Exchange Group (IEX Group) terms and conditions before using 'Riex' (<https://iexcloud.io/terms/>).
Author: Myriam Ibrahim [aut, cre]
Maintainer: Myriam Ibrahim <ibrahimmyriam7@gmail.com>

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Package PNSIBGE updated to version 0.1.2 with previous version 0.1.1 dated 2021-01-31

Title: Downloading, Reading and Analysing PNS Microdata
Description: Provides tools for downloading, reading and analysing the PNS, a household survey from Brazilian Institute of Geography and Statistics - IBGE. The data must be downloaded from the official website <https://www.ibge.gov.br/>. Further analysis must be made using package 'survey'.
Author: Gabriel Assuncao [aut, cre], Luna Hidalgo [aut], Douglas Braga [ctb]
Maintainer: Gabriel Assuncao <pacotesipd@ibge.gov.br>

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Package libbib updated to version 1.5 with previous version 1.0 dated 2021-04-15

Title: Various Utilities for Library Science/Assessment and Cataloging
Description: Provides functions for validating and normalizing bibliographic codes such as ISBN, ISSN, and LCCN. Also includes functions to communicate with the WorldCat API, translate Call numbers (Library of Congress and Dewey Decimal) to their subject classifications or subclassifications, and provides various loadable data files such call number / subject crosswalks and code tables.
Author: Tony Fischetti [aut, cre]
Maintainer: Tony Fischetti <tony.fischetti@gmail.com>

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Package edgarWebR updated to version 1.1.0 with previous version 1.0.3 dated 2020-09-28

Title: SEC Filings Access
Description: A set of methods to access and parse live filing information from the U.S. Securities and Exchange Commission (SEC - <https://www.sec.gov/>) including company and fund filings along with all associated metadata.
Author: Micah J Waldstein [aut, cre]
Maintainer: Micah J Waldstein <micah@waldste.in>

Diff between edgarWebR versions 1.0.3 dated 2020-09-28 and 1.1.0 dated 2021-04-24

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 edgarWebR-1.1.0/edgarWebR/R/company_information.R                                                    |    2 
 edgarWebR-1.1.0/edgarWebR/R/company_search.R                                                         |    7 
 edgarWebR-1.1.0/edgarWebR/R/current_events.R                                                         |    7 
 edgarWebR-1.1.0/edgarWebR/R/effectiveness.R                                                          |    7 
 edgarWebR-1.1.0/edgarWebR/R/filing_details.R                                                         |    2 
 edgarWebR-1.1.0/edgarWebR/R/filing_documents.R                                                       |    2 
 edgarWebR-1.1.0/edgarWebR/R/filing_filers.R                                                          |    2 
 edgarWebR-1.1.0/edgarWebR/R/filing_funds.R                                                           |    2 
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 edgarWebR-1.1.0/edgarWebR/R/fund_search.R                                                            |    4 
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 edgarWebR-1.1.0/edgarWebR/R/latest_filings.R                                                         |    7 
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 edgarWebR-1.1.0/edgarWebR/man/filing_details.Rd                                                      |    2 
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 edgarWebR-1.1.0/edgarWebR/man/filing_funds.Rd                                                        |    2 
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More information about edgarWebR at CRAN
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New package covidregionaldata with initial version 0.9.0
Package: covidregionaldata
Title: Subnational Data for the COVID-19 Outbreak
Version: 0.9.0
Authors@R: c(person(given = "Sam Abbott", role = c("aut", "cre"), email = "sam.abbott@lshtm.ac.uk", comment = c(ORCID = "0000-0001-8057-8037")), person(given = "Katharine", family = "Sherratt", role = "aut", email = "katharine.sherratt@lshtm.ac.uk", comment = c(ORCID = "0000-0003-2049-3423")), person(given = "Joe", family = "Palmer", role = "aut"), person(given = "Richard", family = "Martin-Nielsen", role = "aut", comment = c(URL = "https://github.com/RichardMN")), person(given = "Jonnie", family = "Bevan", role = "aut", email = "jonnie.bevan@tessella.com"), person(given = "Hamish", family = "Gibbs", role = "aut", email = "Hamish.Gibbs@lshtm.ac.uk", comment = c(ORCID = "0000-0003-4413-453X")), person(given = "Sophie", family = "Meakin", role = "ctb", email = "sophie.meaking@lshtm.ac.uk"), person(given = "Joel", family = "Hellewell", role = "ctb", email = "joel.hellewell@lshtm.ac.uk", comment = c(ORCID = "0000-0003-2683-0849")), person(given = "Patrick", family = "Barks", role = "ctb", email = "patrick.barks@epicentre.msf.org"), person(given = "Paul", family = "Campbell", role = "ctb", email = " paul.campbell@epicentre.msf.org"), person(given = "Flavio", family = "Finger", role = "ctb", email = "flavio.finger@epicentre.msf.org", comment = c(ORCID = "0000-0002-8613-5170")), person(given = "Richard", family = "Boyes", role = "ctb", comment = c(URL = "https://github.com/rboyes")), person(given = "Hugo", family = "Gruson", role = "ctb", comment = c(ORCID = "0000-0002-4094-1476")), person(given = "Sebastian", family = "Funk", role = "aut", email = "sebastian.funk@lshtm.ac.uk"))
Description: An interface to subnational and national level COVID-19 data. For all countries supported, this includes a daily time-series of cases. Wherever available we also provide data on deaths, hospitalisations, and tests. National level data is also supported using a range of data sources as well as line list data and links to intervention data sets.
License: MIT + file LICENSE
URL: https://epiforecasts.io/covidregionaldata/, https://github.com/epiforecasts/covidregionaldata/
BugReports: https://github.com/epiforecasts/covidregionaldata/issues/
Depends: R (>= 3.5.0)
Imports: countrycode (>= 1.2.0), dplyr, httr, lifecycle, lubridate, magrittr, memoise, purrr, R6, readxl, rlang, rvest, stringr, tibble, tidyr (>= 1.0.0), tidyselect, vroom, withr, xml2
Suggests: ggplot2, knitr, mockery, pkgdown, rmarkdown, rworldmap, spelling, testthat (>= 3.0.0), usethis
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-gb
LazyData: true
NeedsCompilation: no
Packaged: 2021-04-24 12:04:55 UTC; LSHSA2
Author: Sam Abbott [aut, cre] (<https://orcid.org/0000-0001-8057-8037>), Katharine Sherratt [aut] (<https://orcid.org/0000-0003-2049-3423>), Joe Palmer [aut], Richard Martin-Nielsen [aut] (https://github.com/RichardMN), Jonnie Bevan [aut], Hamish Gibbs [aut] (<https://orcid.org/0000-0003-4413-453X>), Sophie Meakin [ctb], Joel Hellewell [ctb] (<https://orcid.org/0000-0003-2683-0849>), Patrick Barks [ctb], Paul Campbell [ctb], Flavio Finger [ctb] (<https://orcid.org/0000-0002-8613-5170>), Richard Boyes [ctb] (https://github.com/rboyes), Hugo Gruson [ctb] (<https://orcid.org/0000-0002-4094-1476>), Sebastian Funk [aut]
Maintainer: Sam Abbott <sam.abbott@lshtm.ac.uk>
Repository: CRAN
Date/Publication: 2021-04-24 12:30:02 UTC

More information about covidregionaldata at CRAN
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New package aRbs with initial version 0.1.3
Package: aRbs
Title: Find Arbitrage Opportunities for Sports Matches
Version: 0.1.3
Authors@R: person("Andrew", "Little", email = "andrewlittlebristol@gmail.com", role = c("aut", "cre"))
Maintainer: Andrew Little <andrewlittlebristol@gmail.com>
Description: Money doesn't grow on trees. Arbitrage opportunities do. Find the best arbitrage opportunities (arbs) in sports matches through <https://www.oddschecker.com/>. This package allows the user to input the URLs of <https://www.oddschecker.com/> subdomains in order to extract any opportunities for arbitrage. The majority of the functionality is implemented using the function get_arbs_shiny(), which simply provides an easy-to-use interface wrapping the functionality of the get_arbs() function. This function first finds all subdomains of the URL entered, then filters to only include those that look like event betting pages. Next, odds are scraped from the various bookmakers listed for that event, before returning combinations of bookmakers, odds or outcomes that could be used for arbitrage. Bets placed subsequently are done so at bettor's risk. Please see package README for full details.
License: GPL-2
Imports: data.table, crayon, dplyr, progress, stringr, xml2, rvest, purrr, parallel, stats, shiny, shinydashboard, shinycssloaders, DT, shinyBS, dlstats, ggplot2, lubridate, utils
Depends: R (>= 3.5.0)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2021-04-24 12:26:33 UTC; alittle
Author: Andrew Little [aut, cre]
Repository: CRAN
Date/Publication: 2021-04-24 12:40:02 UTC

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Package yorkr updated to version 0.0.22 with previous version 0.0.21 dated 2021-04-18

Title: Analyze Cricket Performances Based on Data from Cricsheet
Description: Analyzing performances of cricketers and cricket teams based on 'yaml' match data from Cricsheet <https://cricsheet.org/>.
Author: Tinniam V Ganesh
Maintainer: Tinniam V Ganesh <tvganesh.85@gmail.com>

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Package sharpshootR updated to version 1.8 with previous version 1.7 dated 2021-01-27

Title: A Soil Survey Toolkit
Description: Miscellaneous soil data management, summary, visualization, and conversion utilities to support soil survey.
Author: Dylan Beaudette [cre, aut], Jay Skovlin [aut], Stephen Roecker [aut], USDA-NRCS Soil Survey Staff [ctb]
Maintainer: Dylan Beaudette <dylan.beaudette@usda.gov>

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Package joint.Cox updated to version 3.11 with previous version 3.10 dated 2020-12-08

Title: Joint Frailty-Copula Models for Tumour Progression and Death in Meta-Analysis
Description: Fit survival data and perform dynamic prediction under joint frailty-copula models for tumour progression and death. Likelihood-based methods are employed for estimating model parameters, where the baseline hazard functions are modeled by the cubic M-spline or the Weibull model. The methods are applicable for meta-analytic data containing individual-patient information from several studies. Survival outcomes need information on both terminal event time (e.g., time-to-death) and non-terminal event time (e.g., time-to-tumour progression). Methodologies were published in Emura et al. (2017) <doi:10.1177/0962280215604510>, Emura et al. (2018) <doi:10.1177/0962280216688032>, Emura et al. (2020) <doi:10.1177/0962280219892295>, Shinohara et al. (2020) <doi:10.1080/03610918.2020.1855449> and Wu et al. (2020) <doi:10.1007/s00180-020-00977-1>. See also the book of Emura et al. (2019) <doi:10.1007/978-981-13-3516-7>. Survival data from ovarian cancer patients are also available.
Author: Takeshi Emura
Maintainer: Takeshi Emura <takeshiemura@gmail.com>

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Package influential updated to version 2.2.1 with previous version 2.2.0 dated 2021-04-17

Title: Identification and Classification of the Most Influential Nodes
Description: Contains functions for the classification and ranking of top candidate features, reconstruction of networks from adjacency matrices and data frames, analysis of the topology of the network and calculation of centrality measures, and identification of the most influential nodes. Also, a function is provided for running SIRIR model, which is the combination of leave-one-out cross validation technique and the conventional SIR model, on a network to unsupervisedly rank the true influence of vertices. Additionally, some functions have been provided for the assessment of dependence and correlation of two network centrality measures as well as the conditional probability of deviation from their corresponding means in opposite direction. Fred Viole and David Nawrocki (2013, ISBN:1490523995). Csardi G, Nepusz T (2006). "The igraph software package for complex network research." InterJournal, Complex Systems, 1695. Adopted algorithms and sources are referenced in function document.
Author: Adrian (Abbas) Salavaty [aut, cre], Mirana Ramialison [ths], Peter D. Currie [ths]
Maintainer: Adrian Salavaty <abbas.salavaty@gmail.com>

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New package geneExpressionFromGEO with initial version 0.6
Encoding: UTF-8
Package: geneExpressionFromGEO
Title: Retrieves Gene Expression Dataset and Gene Symbols from GEO Code
Version: 0.6
Authors@R: person("Davide", "Chicco", email = "davidechicco@davidechicco.it", comment = c(ORCID = "0000-0001-9655-7142"), role = c("aut", "cre"))
Description: A function that reads in the GEO code of a gene expression dataset, retrieves its data from GEO, (optional) retrieves the gene symbols of the dataset, and returns a simple dataframe table containing all the data. Platforms available: GPL11532, GPL23126, GPL6244, GPL80, GPL8300, GPL80, GPL96, GPL570, GPL571, GPL20115, GPL1293, GPL6102, GPL6104, GPL6883, GPL6884, GPL13497, GPL14550, GPL17077, GPL6480. GEO: Gene Expression Omnibus. ID: identifier code. The GEO datasets are downloaded from the URL <https://ftp.ncbi.nlm.nih.gov/geo/series/>.
BugReports: https://stackoverflow.com/questions/tagged/geneExpressionFromGEO
Depends: R (>= 3.1.0)
License: GPL-3
URL: https://github.com/davidechicco/geneExpressionFromGEO
Imports: xml2, Biobase, annotate, GEOquery
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-04-22 13:05:23 UTC; dave
Author: Davide Chicco [aut, cre] (<https://orcid.org/0000-0001-9655-7142>)
Maintainer: Davide Chicco <davidechicco@davidechicco.it>
Repository: CRAN
Date/Publication: 2021-04-24 11:40:06 UTC

More information about geneExpressionFromGEO at CRAN
Permanent link

Package foieGras updated to version 0.7-5 with previous version 0.6-9 dated 2020-07-22

Title: Fit Continuous-Time State-Space and Latent Variable Models for Quality Control of Argos Satellite (and Other) Telemetry Data and for Estimating Movement Behaviour
Description: Fits continuous-time random walk and correlated random walk state-space models for quality control animal tracking data ('Argos', processed light-level 'geolocation', 'GPS'). Template Model Builder ('TMB') is used for fast estimation. The 'Argos' data can be: (older) least squares-based locations; (newer) Kalman filter-based locations with error ellipse information; or a mixture of both. The models estimate two sets of location states corresponding to: 1) each observation, which are (usually) irregularly timed; and 2) user-specified time intervals (regular or irregular). Latent variable models are provided to estimate move persistence along tracks as an index of behaviour. Track simulation functions are provided. 'Jonsen I', 'McMahon CR', 'Patterson TA', 'Auger-Méthé M', 'Harcourt R', 'Hindell MA', 'Bestley S' (2019) Movement responses to environment: fast inference of variation among southern elephant seals with a mixed effects model. Ecology 100:e02566 <doi:10.1002/ecy.2566>.
Author: Ian Jonsen [aut, cre, cph], Toby Patterson [aut, ctb]
Maintainer: Ian Jonsen <ian.jonsen@mq.edu.au>

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Package dagR updated to version 1.2.0 with previous version 1.1.3 dated 2014-01-09

Title: R Functions for Directed Acyclic Graphs
Description: Functions to draw, manipulate, evaluate directed acyclic graphs and simulate corresponding data.
Author: Lutz P Breitling
Maintainer: Lutz P Breitling <l.breitling@posteo.de>

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Package bitops updated to version 1.0-7 with previous version 1.0-6 dated 2013-08-18

Title: Bitwise Operations
Description: Functions for bitwise operations on integer vectors.
Author: S original by Steve Dutky <sdutky@terpalum.umd.edu> initial R port and extensions by Martin Maechler; revised and modified by Steve Dutky
Maintainer: Martin Maechler <maechler@stat.math.ethz.ch>

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Package wsrf updated to version 1.7.20 with previous version 1.7.17 dated 2017-09-25

Title: Weighted Subspace Random Forest for Classification
Description: A parallel implementation of Weighted Subspace Random Forest. The Weighted Subspace Random Forest algorithm was proposed in the International Journal of Data Warehousing and Mining by Baoxun Xu, Joshua Zhexue Huang, Graham Williams, Qiang Wang, and Yunming Ye (2012) <DOI:10.4018/jdwm.2012040103>. The algorithm can classify very high-dimensional data with random forests built using small subspaces. A novel variable weighting method is used for variable subspace selection in place of the traditional random variable sampling.This new approach is particularly useful in building models from high-dimensional data.
Author: Qinghan Meng [aut], He Zhao [aut, cre] (<https://orcid.org/0000-0001-5763-9743>), Graham J. Williams [aut] (<https://orcid.org/0000-0001-7041-4127>), Junchao Lv [aut], Baoxun Xu [aut], Joshua Zhexue Huang [aut] (<https://orcid.org/0000-0002-6797-2571>)
Maintainer: He Zhao <Simon.Yansen.Zhao@gmail.com>

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Package knitr updated to version 1.33 with previous version 1.32 dated 2021-04-14

Title: A General-Purpose Package for Dynamic Report Generation in R
Description: Provides a general-purpose tool for dynamic report generation in R using Literate Programming techniques.
Author: Yihui Xie [aut, cre] (<https://orcid.org/0000-0003-0645-5666>), Abhraneel Sarma [ctb], Adam Vogt [ctb], Alastair Andrew [ctb], Alex Zvoleff [ctb], Andre Simon [ctb] (the CSS files under inst/themes/ were derived from the Highlight package http://www.andre-simon.de), Aron Atkins [ctb], Aaron Wolen [ctb], Ashley Manton [ctb], Atsushi Yasumoto [ctb] (<https://orcid.org/0000-0002-8335-495X>), Ben Baumer [ctb], Brian Diggs [ctb], Brian Zhang [ctb], Bulat Yapparov [ctb], Cassio Pereira [ctb], Christophe Dervieux [ctb], David Hall [ctb], David Hugh-Jones [ctb], David Robinson [ctb], Doug Hemken [ctb], Duncan Murdoch [ctb], Elio Campitelli [ctb], Ellis Hughes [ctb], Emily Riederer [ctb], Fabian Hirschmann [ctb], Fitch Simeon [ctb], Forest Fang [ctb], Frank E Harrell Jr [ctb] (the Sweavel package at inst/misc/Sweavel.sty), Garrick Aden-Buie [ctb], Gregoire Detrez [ctb], Hadley Wickham [ctb], Hao Zhu [ctb], Heewon Jeon [ctb], Henrik Bengtsson [ctb], Hiroaki Yutani [ctb], Ian Lyttle [ctb], Hodges Daniel [ctb], Jake Burkhead [ctb], James Manton [ctb], Jared Lander [ctb], Jason Punyon [ctb], Javier Luraschi [ctb], Jeff Arnold [ctb], Jenny Bryan [ctb], Jeremy Ashkenas [ctb, cph] (the CSS file at inst/misc/docco-classic.css), Jeremy Stephens [ctb], Jim Hester [ctb], Joe Cheng [ctb], Johannes Ranke [ctb], John Honaker [ctb], John Muschelli [ctb], Jonathan Keane [ctb], JJ Allaire [ctb], Johan Toloe [ctb], Jonathan Sidi [ctb], Joseph Larmarange [ctb], Julien Barnier [ctb], Kaiyin Zhong [ctb], Kamil Slowikowski [ctb], Karl Forner [ctb], Kevin K. Smith [ctb], Kirill Mueller [ctb], Kohske Takahashi [ctb], Lorenz Walthert [ctb], Lucas Gallindo [ctb], Marius Hofert [ctb], Martin Modrák [ctb], Michael Chirico [ctb], Michael Friendly [ctb], Michal Bojanowski [ctb], Michel Kuhlmann [ctb], Miller Patrick [ctb], Nacho Caballero [ctb], Nick Salkowski [ctb], Niels Richard Hansen [ctb], Noam Ross [ctb], Obada Mahdi [ctb], Pavel N. Krivitsky [ctb] (<https://orcid.org/0000-0002-9101-3362>), Qiang Li [ctb], Ramnath Vaidyanathan [ctb], Richard Cotton [ctb], Robert Krzyzanowski [ctb], Romain Francois [ctb], Ruaridh Williamson [ctb], Scott Kostyshak [ctb], Sebastian Meyer [ctb], Sietse Brouwer [ctb], Simon de Bernard [ctb], Sylvain Rousseau [ctb], Taiyun Wei [ctb], Thibaut Assus [ctb], Thibaut Lamadon [ctb], Thomas Leeper [ctb], Tim Mastny [ctb], Tom Torsney-Weir [ctb], Trevor Davis [ctb], Viktoras Veitas [ctb], Weicheng Zhu [ctb], Wush Wu [ctb], Zachary Foster [ctb]
Maintainer: Yihui Xie <xie@yihui.name>

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Package elasdics (with last version 0.1.1) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2021-04-10 0.1.1

Permanent link
Package rgee updated to version 1.0.9 with previous version 1.0.8 dated 2021-01-27

Title: R Bindings for Calling the 'Earth Engine' API
Description: Earth Engine <https://earthengine.google.com/> client library for R. All of the 'Earth Engine' API classes, modules, and functions are made available. Additional functions implemented include importing (exporting) of Earth Engine spatial objects, extraction of time series, interactive map display, assets management interface, and metadata display. See <https://r-spatial.github.io/rgee/> for further details.
Author: Cesar Aybar [aut, cre] (<https://orcid.org/0000-0003-2745-9535>), Wu Qiusheng [ctb] (<https://orcid.org/0000-0001-5437-4073>), Lesly Bautista [ctb] (<https://orcid.org/0000-0003-3523-8687>), Roy Yali [ctb] (<https://orcid.org/0000-0003-4542-3755>), Antony Barja [ctb] (<https://orcid.org/0000-0001-5921-2858>), Kevin Ushey [ctb], Jeroen Ooms [ctb] (<https://orcid.org/0000-0002-4035-0289>), Tim Appelhans [ctb], JJ Allaire [ctb], Yuan Tang [ctb], Samapriya Roy [ctb], MariaElena Adauto [ctb] (<https://orcid.org/0000-0002-2154-2429>), Gabriel Carrasco [ctb] (<https://orcid.org/0000-0002-6945-0419>), Henrik Bengtsson [ctb], Jeffrey Hollister [rev] (Hollister reviewed the package for JOSS, see https://github.com/openjournals/joss-reviews/issues/2272/), Gennadii Donchyts [rev] (Gena reviewed the package for JOSS, see https://github.com/openjournals/joss-reviews/issues/2272/), Marius Appel [rev] (Appel reviewed the package for JOSS, see https://github.com/openjournals/joss-reviews/issues/2272/)
Maintainer: Cesar Aybar <csaybar@gmail.com>

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Fri, 23 Apr 2021

Package tsxtreme updated to version 0.3.3 with previous version 0.3.2 dated 2018-12-21

Title: Bayesian Modelling of Extremal Dependence in Time Series
Description: Characterisation of the extremal dependence structure of time series, avoiding pre-processing and filtering as done typically with peaks-over-threshold methods. It uses the conditional approach of Heffernan and Tawn (2004) <DOI:10.1111/j.1467-9868.2004.02050.x> which is very flexible in terms of extremal and asymptotic dependence structures, and Bayesian methods improve efficiency and allow for deriving measures of uncertainty. For example, the extremal index, related to the size of clusters in time, can be estimated and samples from its posterior distribution obtained.
Author: Thomas Lugrin
Maintainer: Thomas Lugrin <thomas.lugrin@alumni.epfl.ch>

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Package maczic updated to version 0.2.0 with previous version 0.1.0 dated 2020-11-09

Title: Mediation Analysis for Count and Zero-Inflated Count Data
Description: Performs causal mediation analysis for count and zero-inflated count data without or with a post-treatment confounder; calculates power to detect prespecified causal mediation effects, direct effects, and total effects; performs sensitivity analysis when there is a treatment- induced mediator-outcome confounder as described by Cheng, J., Cheng, N.F., Guo, Z., Gregorich, S., Ismail, A.I., Gansky, S.A. (2018) <doi:10.1177/0962280216686131>. Implements Instrumental Variable (IV) method to estimate the controlled (natural) direct and mediation effects, and compute the bootstrap Confidence Intervals as described by Guo, Z., Small, D.S., Gansky, S.A., Cheng, J. (2018) <doi:10.1111/rssc.12233>. This software was made possible by Grant R03DE028410 from the The National Institute of Dental and Craniofacial Research, a component of the National Institutes of Health.
Author: Nancy Cheng, Zijian Guo, Jing Cheng
Maintainer: Nancy Cheng <Nancy.Cheng@ucsf.edu>

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Package websocket updated to version 1.4.0 with previous version 1.3.2 dated 2021-02-10

Title: 'WebSocket' Client Library
Description: Provides a 'WebSocket' client interface for R. 'WebSocket' is a protocol for low-overhead real-time communication: <https://en.wikipedia.org/wiki/WebSocket>.
Author: Winston Chang [aut, cre], Joe Cheng [aut], Alan Dipert [aut], Barbara Borges [aut], RStudio [cph], Peter Thorson [ctb, cph] (WebSocket++ library), René Nyffenegger [ctb, cph] (Base 64 library), Micael Hildenborg [ctb, cph] (SHA1 library), Aladdin Enterprises [cph] (MD5 library), Bjoern Hoehrmann [ctb, cph] (UTF8 Validation library)
Maintainer: Winston Chang <winston@rstudio.com>

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Package tsna updated to version 0.3.3 with previous version 0.3.1 dated 2020-01-20

Title: Tools for Temporal Social Network Analysis
Description: Temporal SNA tools for continuous- and discrete-time longitudinal networks having vertex, edge, and attribute dynamics stored in the 'networkDynamic' format. This work was supported by grant R01HD68395 from the National Institute of Health.
Author: Skye Bender-deMoll [aut, cre], Martina Morris [aut], James Moody [ctb]
Maintainer: Skye Bender-deMoll <skyebend@uw.edu>

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Package predictrace updated to version 2.0.0 with previous version 1.2.1 dated 2020-09-16

Title: Predict the Race and Gender of a Given Name Using Census and Social Security Administration Data
Description: Predicts the most common race of a surname and based on U.S. Census data, and the most common first named based on U.S. Social Security Administration data.
Author: Jacob Kaplan [aut, cre] (<https://orcid.org/0000-0002-0601-0387>)
Maintainer: Jacob Kaplan <jkkaplan6@gmail.com>

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Package haven updated to version 2.4.1 with previous version 2.4.0 dated 2021-04-14

Title: Import and Export 'SPSS', 'Stata' and 'SAS' Files
Description: Import foreign statistical formats into R via the embedded 'ReadStat' C library, <https://github.com/WizardMac/ReadStat>.
Author: Hadley Wickham [aut, cre], Evan Miller [aut, cph] (Author of included ReadStat code), RStudio [cph, fnd]
Maintainer: Hadley Wickham <hadley@rstudio.com>

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Package httpuv updated to version 1.6.0 with previous version 1.5.5 dated 2021-01-13

Title: HTTP and WebSocket Server Library
Description: Provides low-level socket and protocol support for handling HTTP and WebSocket requests directly from within R. It is primarily intended as a building block for other packages, rather than making it particularly easy to create complete web applications using httpuv alone. httpuv is built on top of the libuv and http-parser C libraries, both of which were developed by Joyent, Inc. (See LICENSE file for libuv and http-parser license information.)
Author: Joe Cheng [aut], Winston Chang [aut, cre], RStudio, PBC [cph], Hector Corrada Bravo [ctb], Jeroen Ooms [ctb], Andrzej Krzemienski [cph] (optional.hpp)
Maintainer: Winston Chang <winston@rstudio.com>

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Package mdatools updated to version 0.11.4 with previous version 0.11.3 dated 2021-01-22

Title: Multivariate Data Analysis for Chemometrics
Description: Projection based methods for preprocessing, exploring and analysis of multivariate data used in chemometrics. S. Kucheryavskiy (2020) <doi: 10.1016/j.chemolab.2020.103937>.
Author: Sergey Kucheryavskiy (<https://orcid.org/0000-0002-3145-7244>)
Maintainer: Sergey Kucheryavskiy <svkucheryavski@gmail.com>

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Package ecm updated to version 6.1.0 with previous version 5.1.0 dated 2021-02-10

Title: Build Error Correction Models
Description: Functions for easy building of error correction models (ECM) for time series regression.
Author: Gaurav Bansal
Maintainer: Gaurav Bansal <gaurbans@gmail.com>

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Package selection.index updated to version 1.1.0 with previous version 1.0.0 dated 2021-04-06

Title: Analysis of Selection Index in Plant Breeding
Description: The aim of most plant breeding programmes is simultaneous improvement of several characters. An objective method involving simultaneous selection for several attributes then becomes necessary. It has been recognised that most rapid improvements in the economic value is expected from selection applied simultaneously to all the characters which determine the economic value of a plant, and appropriate assigned weights to each character according to their economic importance, heritability and correlations between characters. So the selection for economic value is a complex matter. If the component characters are combined together into an index in such a way that when selection is applied to the index, as if index is the character to be improved, most rapid improvement of economic value is expected. Such an index was first proposed by Smith (1937 <doi:10.1111/j.1469-1809.1936.tb02143.x>) based on the Fisher's (1936 <doi:10.1111/j.1469-1809.1936.tb02137.x>) "discriminant function" Dabholkar (1999 <https://books.google.co.in/books?id=mlFtumAXQ0oC&lpg=PA4&ots=Xgxp1qLuxS&dq=elements%20of%20biometrical%20genetics&lr&pg=PP1#v=onepage&q&f=false>). In this package selection index is calculated based on the Smith (1937) selection index method.
Author: Zankrut Goyani [aut, cre, cph], Alok Shrivastva [aut], Yogesh Garde [aut], Arvind Chaudhary [aut]
Maintainer: Zankrut Goyani <zankrut20@gmail.com>

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Package BuyseTest updated to version 2.3.0 with previous version 2.2.6 dated 2021-03-16

Title: Generalized Pairwise Comparisons
Description: Implementation of the Generalized Pairwise Comparisons (GPC) as defined in Buyse (2010) <doi:10.1002/sim.3923> for complete observations, and extended in Peron (2018) <doi:10.1177/0962280216658320> to deal with right-censoring. GPC compare two groups of observations (intervention vs. control group) regarding several prioritized endpoints to estimate the probability that a random observation drawn from one group performs better than a random observation drawn from the other group (Mann-Whitney parameter). The net benefit and win ratio statistics, i.e. the difference and ratio between the probabilities relative to the intervention and control groups, can then also be estimated. Confidence intervals and p-values are obtained using permutations, a non-parametric bootstrap, or the asymptotic theory. The software enables the use of thresholds of minimal importance difference, stratification, non-prioritized endpoints (O'Brien test), and can handle right-censoring and competing-risks.
Author: Brice Ozenne [aut, cre] (<https://orcid.org/0000-0001-9694-2956>), Julien Peron [ctb], Eva Cantagallo [aut]
Maintainer: Brice Ozenne <brice.mh.ozenne@gmail.com>

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 R/0-onLoad.R                                  |   16 
 R/1-setGeneric.R                              |  118 -
 R/BuyseTTEM.R                                 | 1290 +++++++++----------
 R/BuyseTest-Peron.R                           |  630 ++++-----
 R/BuyseTest-check.R                           |  916 ++++++-------
 R/BuyseTest-inference.R                       |  882 ++++++-------
 R/BuyseTest-initialization.R                  | 1355 ++++++++++----------
 R/BuyseTest-package.R                         |   91 -
 R/BuyseTest-print.R                           |  316 ++--
 R/BuyseTest.R                                 | 1354 ++++++++++----------
 R/BuyseTest.options.R                         |  208 +--
 R/PairScore.R                                 |  106 -
 R/RcppExports.R                               |  414 +++---
 R/S4-BuysePower-show.R                        |   88 -
 R/S4-BuysePower-summary.R                     |  402 +++---
 R/S4-BuysePower.R                             |  134 +-
 R/S4-BuyseTest-coef.R                         |  306 ++--
 R/S4-BuyseTest-confint.R                      | 1518 +++++++++++-----------
 R/S4-BuyseTest-get.R                          | 1287 +++++++++----------
 R/S4-BuyseTest-sensitivity.R                  |only
 R/S4-BuyseTest-show.R                         |   98 -
 R/S4-BuyseTest-summary.R                      | 1056 +++++++--------
 R/S4-BuyseTest.R                              |  541 ++++----
 R/S4-BuyseTest.options.R                      |  424 +++---
 R/auc.R                                       |  584 ++++----
 R/constStrata.R                               |  176 +-
 R/discreteRoot.R                              |  532 ++++----
 R/iid.prodlim.R                               |  372 ++---
 R/normexp.R                                   |  416 +++---
 R/powerBuyseTest.R                            |  956 +++++++-------
 R/simBuyseTest.R                              | 1076 ++++++++--------
 R/simCompetingRisks.R                         |  282 ++--
 R/valid.R                                     |  950 +++++++-------
 build/vignette.rds                            |binary
 inst/CITATION                                 |   96 -
 inst/doc/overview.pdf                         |binary
 inst/doc/overview.pdf.asis                    |   10 
 inst/optim-iid/FCT_calcOnePair.h              | 1724 +++++++++++++-------------
 man/BuyseTTEM.Rd                              |  148 +-
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 man/BuyseTest.Rd                              |  582 ++++----
 man/BuyseTest.options-class.Rd                |   36 
 man/BuyseTest.options-methods.Rd              |   44 
 man/BuyseTest.options.Rd                      |   70 -
 man/GPC_cpp.Rd                                |  336 ++---
 man/S4BuysePower-class.Rd                     |   36 
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 man/S4BuysePower-summary.Rd                   |  118 -
 man/S4BuyseTest-class.Rd                      |   36 
 man/S4BuyseTest-coef.Rd                       |   96 -
 man/S4BuyseTest-confint.Rd                    |  224 +--
 man/S4BuyseTest-getCount.Rd                   |   56 
 man/S4BuyseTest-getIid.Rd                     |   94 -
 man/S4BuyseTest-getPairScore.Rd               |  286 ++--
 man/S4BuyseTest-getPseudovalue.Rd             |  138 +-
 man/S4BuyseTest-getSurvival.Rd                |  116 -
 man/S4BuyseTest-sensitivity.Rd                |only
 man/S4BuyseTest-show.Rd                       |   50 
 man/S4BuyseTest-summary.Rd                    |  284 ++--
 man/auc.Rd                                    |  140 +-
 man/autoplot.sensitivity.Rd                   |only
 man/boot2pvalue.Rd                            |  170 +-
 man/calcIntegralSurv2_cpp.Rd                  |   94 -
 man/coef.BuyseTestAuc.Rd                      |   38 
 man/confint.BuyseTestAuc.Rd                   |   38 
 man/constStrata.Rd                            |  120 -
 man/discreteRoot.Rd                           |   62 
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 man/dot-calcIntegralSurv_cpp.Rd               |   84 -
 man/dot-colCenter_cpp.Rd                      |   38 
 man/dot-colMultiply_cpp.Rd                    |   38 
 man/dot-colScale_cpp.Rd                       |   38 
 man/dot-rowCenter_cpp.Rd                      |   38 
 man/dot-rowCumProd_cpp.Rd                     |   34 
 man/dot-rowCumSum_cpp.Rd                      |   34 
 man/dot-rowMultiply_cpp.Rd                    |   38 
 man/dot-rowScale_cpp.Rd                       |   38 
 man/iid.prodlim.Rd                            |   82 -
 man/internal-initialization.Rd                |  242 +--
 man/internal-print.Rd                         |   82 -
 man/pnormexp.Rd                               |   58 
 man/pnormweibull.Rd                           |   64 
 man/powerBuyseTest.Rd                         |  206 +--
 man/predict.BuyseTTEM.Rd                      |   52 
 man/qnormexp.Rd                               |   46 
 man/qnormweibull.Rd                           |   76 -
 man/simCompetingRisks.Rd                      |  208 +--
 man/simulation.Rd                             |  292 ++--
 man/testArgs.Rd                               |   86 -
 man/validFCTs.Rd                              |  310 ++--
 tests/testthat.R                              |   81 -
 tests/testthat/test-BuysePower.R              |  394 ++---
 tests/testthat/test-BuyseTTEM.R               |  504 +++----
 tests/testthat/test-BuyseTest-CR.R            |  466 +++----
 tests/testthat/test-BuyseTest-PairScore.R     |  238 +--
 tests/testthat/test-BuyseTest-Pairs.R         | 1194 +++++++++---------
 tests/testthat/test-BuyseTest-checkValues.R   | 1002 +++++++--------
 tests/testthat/test-BuyseTest-correctionTTE.R |  446 +++---
 tests/testthat/test-BuyseTest-engine.R        |  208 +--
 tests/testthat/test-BuyseTest-iid.R           | 1432 ++++++++++-----------
 tests/testthat/test-BuyseTest-neutralAsUnif.R |  204 +--
 tests/testthat/test-BuyseTest-operator.R      |  199 +--
 tests/testthat/test-BuyseTest-previousBug.R   |  988 +++++++-------
 tests/testthat/test-BuyseTest-resampling.R    | 1198 +++++++++---------
 tests/testthat/test-auc.R                     |  170 +-
 tests/testthat/test-initSurvival.R            |  438 +++---
 tests/testthat/test-initThreshold.R           |  168 +-
 tests/testthat/test-otherPackages.R           |  296 ++--
 vignettes/overview.pdf.asis                   |   10 
 vignettes/vignette_CR.Rmd                     |  146 +-
 114 files changed, 18617 insertions(+), 18456 deletions(-)

More information about BuyseTest at CRAN
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Package taxonomizr updated to version 0.7.1 with previous version 0.6.0 dated 2021-02-08

Title: Functions to Work with NCBI Accessions and Taxonomy
Description: Functions for assigning taxonomy to NCBI accession numbers and taxon IDs based on NCBI's accession2taxid and taxdump files. This package allows the user to downloads NCBI data dumps and create a local database for fast and local taxonomic assignment.
Author: Scott Sherrill-Mix [aut, cre]
Maintainer: Scott Sherrill-Mix <shescott@upenn.edu>

Diff between taxonomizr versions 0.6.0 dated 2021-02-08 and 0.7.1 dated 2021-04-23

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 taxonomizr-0.7.1/taxonomizr/R/taxa.R                             |  153 ++++++++--
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 taxonomizr-0.7.1/taxonomizr/tests/testthat/test_taxa.R           |  110 ++++++-
 taxonomizr-0.7.1/taxonomizr/vignettes/usage.Rmd                  |   59 +++
 18 files changed, 514 insertions(+), 64 deletions(-)

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New package rENA with initial version 0.2.3
Package: rENA
Title: Epistemic Network Analysis
Author: Cody L Marquart [aut, cre] (<https://orcid.org/0000-0002-3387-6792>), Zachari Swiecki [aut], Wesley Collier [aut], Brendan Eagan [aut], Roman Woodward [aut], David Williamson Shaffer [aut]
Authors@R: c(person("Cody L", "Marquart", role = c("aut", "cre"), email="cody.marquart@wisc.edu", comment = c(ORCID = "0000-0002-3387-6792")), person("Zachari","Swiecki", role = c("aut"), email="swiecki@wisc.edu"), person("Wesley","Collier", role = c("aut"), email="wcollier@wisc.edu"), person("Brendan","Eagan", role = c("aut"), email="beagan@wisc.edu"), person("Roman", "Woodward", role = c("aut"), email="rwoodward3@wisc.edu"), person("David Williamson", "Shaffer", role = c("aut"), email = "dws@education.wisc.edu"))
Maintainer: Cody L Marquart <cody.marquart@wisc.edu>
Version: 0.2.3
Description: ENA (Shaffer, D. W. (2017) Quantitative Ethnography. ISBN: 0578191687) is a method used to identify meaningful and quantifiable patterns in discourse or reasoning. ENA moves beyond the traditional frequency-based assessments by examining the structure of the co-occurrence, or connections in coded data. Moreover, compared to other methodological approaches, ENA has the novelty of (1) modeling whole networks of connections and (2) affording both quantitative and qualitative comparisons between different network models. Shaffer, D.W., Collier, W., & Ruis, A.R. (2016).
LazyData: TRUE
Depends: R (>= 3.0.0)
License: GPL-3 | file LICENSE
LinkingTo: Rcpp, RcppArmadillo
Imports: data.table, Rcpp, R6, methods, foreach, stats, plotly, doParallel, parallel, scales, magrittr, concatenate
Suggests: testthat (>= 2.1.0), knitr, rmarkdown, webshot
NeedsCompilation: yes
Packaged: 2021-04-22 11:15:39 UTC; clmarquart
Repository: CRAN
Date/Publication: 2021-04-23 15:10:06 UTC

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Package later updated to version 1.2.0 with previous version 1.1.0.1 dated 2020-06-05

Title: Utilities for Scheduling Functions to Execute Later with Event Loops
Description: Executes arbitrary R or C functions some time after the current time, after the R execution stack has emptied. The functions are scheduled in an event loop.
Author: Winston Chang [aut, cre], Joe Cheng [aut], RStudio [cph], Marcus Geelnard [ctb, cph] (TinyCThread library, https://tinycthread.github.io/), Evan Nemerson [ctb, cph] (TinyCThread library, https://tinycthread.github.io/)
Maintainer: Winston Chang <winston@rstudio.com>

Diff between later versions 1.1.0.1 dated 2020-06-05 and 1.2.0 dated 2021-04-23

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 tests/testthat/test-run_now.R |    9 
 27 files changed, 438 insertions(+), 371 deletions(-)

More information about later at CRAN
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Package fontawesome updated to version 0.2.1 with previous version 0.2.0 dated 2021-03-28

Title: Easily Work with 'Font Awesome' Icons
Description: Easily and flexibly insert 'Font Awesome' icons into 'R Markdown' documents and 'Shiny' apps. These icons can be inserted into HTML content through inline 'SVG' tags or 'i' tags. There is also a utility function for exporting 'Font Awesome' icons as 'PNG' images for those situations where raster graphics are needed.
Author: Richard Iannone [aut, cre] (<https://orcid.org/0000-0003-3925-190X>), Christophe Dervieux [ctb] (<https://orcid.org/0000-0003-4474-2498>), Winston Chang [ctb], Dave Gandy [ctb, cph] (Font-Awesome font), RStudio [cph, fnd]
Maintainer: Richard Iannone <rich@rstudio.com>

Diff between fontawesome versions 0.2.0 dated 2021-03-28 and 0.2.1 dated 2021-04-23

 DESCRIPTION                   |    6 +++---
 MD5                           |   10 +++++-----
 NEWS.md                       |    4 ++++
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 man/fa.Rd                     |   15 ++++++++-------
 tests/testthat/test-fa_icon.R |    4 ++--
 6 files changed, 35 insertions(+), 28 deletions(-)

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New package abn with initial version 2.5-0
Package: abn
Version: 2.5-0
Date: 2021-04-21
Title: Modelling Multivariate Data with Additive Bayesian Networks
Authors@R: c(person(given = "Gilles", family = "Kratzer", role = c("aut", "cre"), email = "gilles.kratzer@gmail.com", comment = c(ORCID = "0000-0002-5929-8935")), person(given = "Fraser Iain", family = "Lewis", role = "aut", email = "fraser.iain.lewis@gmail.com", comment = c(ORCID = "0000-0003-4580-2712")), person(given = "Reinhard", family = "Furrer", role = "ctb", email = "reinhard.furrer@math.uzh.ch", comment = c(ORCID = "0000-0002-6319-2332")), person(given = "Marta", family = "Pittavino", role = "ctb", email = "marta.pittavino@math.uzh.ch", comment = c(ORCID = "0000-0002-1232-1034")))
Author: Gilles Kratzer [aut, cre] (<https://orcid.org/0000-0002-5929-8935>), Fraser Iain Lewis [aut] (<https://orcid.org/0000-0003-4580-2712>), Reinhard Furrer [ctb] (<https://orcid.org/0000-0002-6319-2332>), Marta Pittavino [ctb] (<https://orcid.org/0000-0002-1232-1034>)
Maintainer: Gilles Kratzer <gilles.kratzer@gmail.com>
Imports: methods, rjags
LinkingTo: Rcpp, RcppArmadillo
Depends: nnet, lme4, Rgraphviz, R (>= 4.0.0)
Suggests: INLA, knitr, R.rsp, testthat, entropy, moments, boot, brglm
VignetteBuilder: R.rsp
Additional_repositories: https://inla.r-inla-download.org/R/stable/
SystemRequirements: Gnu Scientific Library version >= 1.12
Description: Bayesian network analysis is a form of probabilistic graphical models which derives from empirical data a directed acyclic graph, DAG, describing the dependency structure between random variables. An additive Bayesian network model consists of a form of a DAG where each node comprises a generalized linear model, GLM. Additive Bayesian network models are equivalent to Bayesian multivariate regression using graphical modelling, they generalises the usual multivariable regression, GLM, to multiple dependent variables. 'abn' provides routines to help determine optimal Bayesian network models for a given data set, where these models are used to identify statistical dependencies in messy, complex data. The additive formulation of these models is equivalent to multivariate generalised linear modelling (including mixed models with iid random effects). The usual term to describe this model selection process is structure discovery. The core functionality is concerned with model selection - determining the most robust empirical model of data from interdependent variables. Laplace approximations are used to estimate goodness of fit metrics and model parameters, and wrappers are also included to the INLA package which can be obtained from <https://www.r-inla.org>. The computing library JAGS <https://mcmc-jags.sourceforge.io> is used to simulate 'abn'-like data. A comprehensive set of documented case studies, numerical accuracy/quality assurance exercises, and additional documentation are available from the 'abn' website <http://r-bayesian-networks.org>.
License: GPL (>= 2)
LazyData: true
URL: http://r-bayesian-networks.org
BugReports: https://git.math.uzh.ch/reinhard.furrer/abn/-/issues
NeedsCompilation: yes
Packaged: 2021-04-21 07:14:53 UTC; furrer
Repository: CRAN
Date/Publication: 2021-04-23 15:10:10 UTC

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New package wordpressr with initial version 0.2.2
Package: wordpressr
Title: An API Wrapper for WordPress Site APIs
Version: 0.2.2
Authors@R: c(person("Simit", "Patel", email = "simit@sixjupiter.com", role = c("aut", "cre")), person(given = 'SixJupiter',role = c('cph','fnd')))
URL: https://sixjupiter.com/wordpressr/
BugReports: https://github.com/simitpatel/wordpressr/issues
Description: An API wrapper that helps R developers retrieve data from a WordPress site's API in tidy format, in addition to publishing content on the WordPress site (WordPress API documentation: <https://developer.wordpress.org/rest-api/>).
Imports: httr, tibble, dplyr, tidyr, magrittr, glue, purrr
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat, stringi
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-04-14 02:09:09 UTC; simit.patel
Author: Simit Patel [aut, cre], SixJupiter [cph, fnd]
Maintainer: Simit Patel <simit@sixjupiter.com>
Repository: CRAN
Date/Publication: 2021-04-23 15:00:03 UTC

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Package RUVIIIC updated to version 1.0.19 with previous version 1.0.18 dated 2021-04-10

Title: RUV-III-C
Description: Variations of Remove Unwanted Variation-III (RUV-III) known as RUV-III-C (RUV-III Complete). RUV-III performs normalisation using negative control variables and replication. RUV-III-C extends this method to cases where the data contains missing values, by applying RUV-III to complete subsets of the data. Originally designed for SWATH-MS proteomics datasets. Poulos et al. (2020) <doi:10.1038/s41467-020-17641-3>.
Author: Rohan Shah [aut, cre], Sean Peters [ctb], Qing Zhong [ctb], Children's Medical Research Institute [cph]
Maintainer: Rohan Shah <rshah@cmri.org.au>

Diff between RUVIIIC versions 1.0.18 dated 2021-04-10 and 1.0.19 dated 2021-04-23

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Package qqplotr updated to version 0.0.5 with previous version 0.0.4 dated 2020-02-04

Title: Quantile-Quantile Plot Extensions for 'ggplot2'
Description: Extensions of 'ggplot2' Q-Q plot functionalities.
Author: Alexandre Almeida [aut], Adam Loy [aut, cre], Heike Hofmann [aut]
Maintainer: Adam Loy <loyad01@gmail.com>

Diff between qqplotr versions 0.0.4 dated 2020-02-04 and 0.0.5 dated 2021-04-23

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Package midasml updated to version 0.1.4 with previous version 0.1.3 dated 2021-04-22

Title: Estimation and Prediction Methods for High-Dimensional Mixed Frequency Time Series Data
Description: The 'midasml' package implements estimation and prediction methods for high-dimensional mixed-frequency (MIDAS) time-series and panel data regression models. The regularized MIDAS models are estimated using orthogonal (e.g. Legendre) polynomials and sparse-group LASSO (sg-LASSO) estimator. For more information on the `midasml' approach see Babii, Ghysels, and Striaukas (2021, JBES forthcoming) <doi:10.1080/07350015.2021.1899933>. The package is equipped with the fast implementation of the sg-LASSO estimator by means of proximal block coordinate descent. High-dimensional mixed frequency time-series data can also be easily manipulated with functions provided in the package.
Author: Jonas Striaukas [cre, aut], Andrii Babii [aut], Eric Ghysels [aut], Alex Kostrov [ctb] (Contributions to analytical gradients for non-linear low-dimensional MIDAS estimation code)
Maintainer: Jonas Striaukas <jonas.striaukas@gmail.com>

Diff between midasml versions 0.1.3 dated 2021-04-22 and 0.1.4 dated 2021-04-23

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Package Markovchart updated to version 2.0.0 with previous version 1.1.1 dated 2020-12-16

Title: Markov Chain-Based Cost-Optimal Control Charts
Description: Functions for cost-optimal control charts with a focus on health care applications. Compared to assumptions in traditional control chart theory, here, we allow random shift sizes, random repair and random sampling times. The package focuses on X-bar charts with a sample size of 1 (representing the monitoring of a single patient at a time). The methods are described in Zempleni et al. (2004) <doi:10.1002/asmb.521>, Dobi and Zempleni (2019) <doi:10.1002/qre.2518> and Dobi and Zempleni (2019) <http://ac.inf.elte.hu/Vol_049_2019/129_49.pdf>.
Author: Balazs Dobi & Andras Zempleni
Maintainer: Balazs Dobi <dobibalazs@inf.elte.hu>

Diff between Markovchart versions 1.1.1 dated 2020-12-16 and 2.0.0 dated 2021-04-23

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Package KMunicate updated to version 0.2.1 with previous version 0.2.0 dated 2020-11-16

Title: KMunicate-Style Kaplan–Meier Plots
Description: Produce Kaplan–Meier plots in the style recommended following the KMunicate study by Morris et al. (2019) <doi:10.1136/bmjopen-2019-030215>. The KMunicate style consists of Kaplan-Meier curves with confidence intervals to quantify uncertainty and an extended risk table (per treatment arm) depicting the number of study subjects at risk, events, and censored observations over time. The resulting plots are built using 'ggplot2' and can be further customised to a certain extent, including themes, fonts, and colour scales.
Author: Alessandro Gasparini [aut, cre, cph] (<https://orcid.org/0000-0002-8319-7624>), Ary Serpa Neto [ctb]
Maintainer: Alessandro Gasparini <alessandro.gasparini@ki.se>

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Package IPLGP updated to version 1.2.0 with previous version 1.1.0 dated 2021-04-20

Title: Identification of Parental Lines via Genomic Prediction
Description: Combining genomic prediction with Monte Carlo simulation, three different strategies are implemented to select parental lines for multiple traits in plant breeding. The selection strategies include (i) GEBV-O considers only genomic estimated breeding values (GEBVs) of the candidate individuals; (ii) GD-O considers only genomic diversity (GD) of the candidate individuals; and (iii) GEBV-GD considers both GEBV and GD. The above method can be seen in Chung PY, Liao CT (2020) <doi:10.1371/journal.pone.0243159>. Multi-trait genomic best linear unbiased prediction (MT-GBLUP) model is used to simultaneously estimate GEBVs of the target traits, and then a selection index is adopted to evaluate the composite performance of an individual.
Author: Ping-Yuan Chung [cre], Chen-Tuo Liao [aut]
Maintainer: Ping-Yuan Chung <r06621204@ntu.edu.tw>

Diff between IPLGP versions 1.1.0 dated 2021-04-20 and 1.2.0 dated 2021-04-23

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Package GADMTools updated to version 3.8-2 with previous version 3.8-1 dated 2020-03-05

Title: Easy Use of 'GADM' Maps
Description: Manipulate, assemble, export <https://gadm.org/> maps. Create 'choropleth', 'isopleth', dots plot, proportional dots, dot-density and more.
Author: Jean Pierre Decorps [aut, cre]
Maintainer: Jean Pierre Decorps <jean.pierre.decorps@gmail.com>

Diff between GADMTools versions 3.8-1 dated 2020-03-05 and 3.8-2 dated 2021-04-23

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Package BDEsize updated to version 1.5 with previous version 1.2 dated 2019-11-01

Title: Efficient Determination of Sample Size in Balanced Design of Experiments
Description: For a balanced design of experiments, this package calculates the sample size required to detect a certain standardized effect size, under a significance level. This package also provides three graphs; detectable standardized effect size vs power, sample size vs detectable standardized effect size, and sample size vs power, which show the mutual relationship between the sample size, power and the detectable standardized effect size. The detailed procedure is described in R. V. Lenth (2006-9) <https://homepage.divms.uiowa.edu/~rlenth/Power/>, Y. B. Lim (1998), M. A. Kastenbaum, D. G. Hoel and K. O. Bowman (1970) <doi:10.2307/2334851>, and Douglas C. Montgomery (2013, ISBN: 0849323312).
Author: Jong Hee Chung [aut, cre], Yong Bin Lim [aut], Donghoh Kim [ctb]
Maintainer: Jong Hee Chung <jochung947@gmail.com>

Diff between BDEsize versions 1.2 dated 2019-11-01 and 1.5 dated 2021-04-23

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Package brio updated to version 1.1.2 with previous version 1.1.1 dated 2021-01-20

Title: Basic R Input Output
Description: Functions to handle basic input output, these functions always read and write UTF-8 (8-bit Unicode Transformation Format) files and provide more explicit control over line endings.
Author: Jim Hester [aut, cre] (<https://orcid.org/0000-0002-2739-7082>), RStudio [cph, fnd]
Maintainer: Jim Hester <jim.hester@rstudio.com>

Diff between brio versions 1.1.1 dated 2021-01-20 and 1.1.2 dated 2021-04-23

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New package materialmodifier with initial version 1.0.0
Package: materialmodifier
Title: Apply Material Editing Effects
Version: 1.0.0
Authors@R: person(given = "Hiroyuki", family = "Tsuda", role = c("aut", "cre"), email = "tsuda16k@gmail.com", comment = c(ORCID = "0000-0001-9396-5327"))
Description: You can apply image processing effects that modifies the perceived material properties such as gloss, smoothness, and blemishes. This is an implementation of the algorithm proposed by Boyadzhiev et al. (2015) "Band-Sifting Decomposition for Image Based Material Editing". Documentation and practical tips of the package is available at <https://github.com/tsuda16k/materialmodifier>.
URL: https://github.com/tsuda16k/materialmodifier
BugReports: https://github.com/tsuda16k/materialmodifier/issues/
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: jpeg, magrittr, methods, png, readbitmap, stringr, downloader, imager, moments
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2021-04-22 15:39:17 UTC; tsuda
Author: Hiroyuki Tsuda [aut, cre] (<https://orcid.org/0000-0001-9396-5327>)
Maintainer: Hiroyuki Tsuda <tsuda16k@gmail.com>
Repository: CRAN
Date/Publication: 2021-04-23 12:20:02 UTC

More information about materialmodifier at CRAN
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Package ncdfgeom updated to version 1.1.1 with previous version 1.1.0 dated 2019-08-28

Title: 'NetCDF' Geometry and Time Series
Description: Tools to create time series and geometry 'NetCDF' files.
Author: David Blodgett [aut, cre], Luke Winslow [ctb]
Maintainer: David Blodgett <dblodgett@usgs.gov>

Diff between ncdfgeom versions 1.1.0 dated 2019-08-28 and 1.1.1 dated 2021-04-23

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Package shadowtext updated to version 0.0.8 with previous version 0.0.7 dated 2019-11-06

Title: Shadow Text Grob and Layer
Description: Implement shadowtextGrob() for 'grid' and geom_shadowtext() layer for 'ggplot2'. These functions create/draw text grob with background shadow.
Author: Guangchuang Yu [aut, cre]
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>

Diff between shadowtext versions 0.0.7 dated 2019-11-06 and 0.0.8 dated 2021-04-23

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Package scatterpie updated to version 0.1.6 with previous version 0.1.5 dated 2020-09-09

Title: Scatter Pie Plot
Description: Creates scatterpie plots, especially useful for plotting pies on a map.
Author: Guangchuang Yu [aut, cre] (<https://orcid.org/0000-0002-6485-8781>)
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>

Diff between scatterpie versions 0.1.5 dated 2020-09-09 and 0.1.6 dated 2021-04-23

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New package rcolors with initial version 0.1.0
Package: rcolors
Title: 270 'NCL' Color Tables in R Language
Description: 'NCL' (NCAR Command Language) is one of the most popular spatial data mapping tools in meteorology studies, due to its beautiful output figures with plenty of color palettes designed by experts <https://www.ncl.ucar.edu/index.shtml>. Here we translate all 'NCL' color palettes into R hexadecimal RGB colors and provide color selection function, which will help users make a beautiful figure.
Version: 0.1.0
Authors@R: c( person("Dongdong", "Kong", role = c("aut", "cre"), email = "kongdd.sysu@gmail.com", comment = c(ORCID = "0000-0003-1836-8172")))
Depends: R (>= 3.1)
Imports: magrittr
License: GPL-3
Encoding: UTF-8
LazyData: true
Suggests: testthat, covr
NeedsCompilation: no
Packaged: 2021-04-22 12:13:18 UTC; kongdd
Author: Dongdong Kong [aut, cre] (<https://orcid.org/0000-0003-1836-8172>)
Maintainer: Dongdong Kong <kongdd.sysu@gmail.com>
Repository: CRAN
Date/Publication: 2021-04-23 10:40:02 UTC

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Package GerminaR updated to version 2.1.1 with previous version 2.0.1 dated 2020-10-25

Title: Indices and Graphics for Assess Seed Germination Process
Description: A collection of different indices and visualization techniques for evaluate the seed germination process in ecophysiological studies (Lozano-Isla et al. 2019) <doi:10.1111/1440-1703.1275>.
Author: Flavio Lozano-Isla [aut, cre] (<https://orcid.org/0000-0002-0714-669X>), Omar Benites Alfaro [aut] (<https://orcid.org/0000-0002-6852-9598>), Denise Garcia de Santana [aut], Marli A. Ranal [aut], Marcelo F. Pompelli [aut, ths] (<https://orcid.org/0000-0002-4408-6374>), Federal University of Pernambuco [cph] (Register of application), Federal Rural University of Pernambuco [cph] (Post Graduate Program)
Maintainer: Flavio Lozano-Isla <flavjack@gmail.com>

Diff between GerminaR versions 2.0.1 dated 2020-10-25 and 2.1.1 dated 2021-04-23

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Package terrainr updated to version 0.4.0 with previous version 0.3.1 dated 2021-02-23

Title: Landscape Visualizations in R and 'Unity'
Description: Functions for the retrieval, manipulation, and visualization of 'geospatial' data, with an aim towards producing '3D' landscape visualizations in the 'Unity' '3D' rendering engine. Functions are also provided for retrieving elevation data and base map tiles from the 'USGS' National Map ('<https://apps.nationalmap.gov/services/>').
Author: Michael Mahoney [aut, cre] (<https://orcid.org/0000-0003-2402-304X>), Mike Johnson [rev] (Mike reviewed the package (v. 0.2.1) for rOpenSci, see <https://github.com/ropensci/software-review/issues/416>), Sydney Foks [rev] (Sydney reviewed the package (v. 0.2.1) for rOpenSci, see <https://github.com/ropensci/software-review/issues/416>)
Maintainer: Michael Mahoney <mike.mahoney.218@gmail.com>

Diff between terrainr versions 0.3.1 dated 2021-02-23 and 0.4.0 dated 2021-04-23

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Package rPanglaoDB updated to version 0.2.0 with previous version 0.1.0 dated 2021-04-15

Title: Download and Merge Single-Cell RNA-Seq Data from the PanglaoDB Database
Description: Download and merge labeled single-cell RNA-seq data from the PanglaoDB <https://panglaodb.se/> into a Seurat object.
Author: Daniel Osorio [aut, cre] (<https://orcid.org/0000-0003-4424-8422>), Marieke Kuijjer [aut] (<https://orcid.org/0000-0001-6280-3130>), James J. Cai [aut] (<https://orcid.org/0000-0002-8081-6725>)
Maintainer: Daniel Osorio <daniecos@uio.no>

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Package rgl updated to version 0.106.8 with previous version 0.106.6 dated 2021-04-17

Title: 3D Visualization Using OpenGL
Description: Provides medium to high level functions for 3D interactive graphics, including functions modelled on base graphics (plot3d(), etc.) as well as functions for constructing representations of geometric objects (cube3d(), etc.). Output may be on screen using OpenGL, or to various standard 3D file formats including WebGL, PLY, OBJ, STL as well as 2D image formats, including PNG, Postscript, SVG, PGF.
Author: Duncan Murdoch [aut, cre], Daniel Adler [aut], Oleg Nenadic [ctb], Simon Urbanek [ctb], Ming Chen [ctb], Albrecht Gebhardt [ctb], Ben Bolker [ctb], Gabor Csardi [ctb], Adam Strzelecki [ctb], Alexander Senger [ctb], The R Core Team [ctb, cph], Dirk Eddelbuettel [ctb], The authors of Shiny [cph], The authors of knitr [cph], Jeroen Ooms [ctb], Yohann Demont [ctb], Joshua Ulrich [ctb], Xavier Fernandez i Marin [ctb], George Helffrich [ctb], Ivan Krylov [ctb]
Maintainer: Duncan Murdoch <murdoch.duncan@gmail.com>

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Package meme updated to version 0.2.3 with previous version 0.2.2 dated 2019-08-05

Title: Create Meme
Description: The word 'Meme' was originated from the book, 'The Selfish Gene', authored by Richard Dawkins (1976). It is a unit of culture that is passed from one generation to another and correlates to the gene, the unit of physical heredity. The internet memes are captioned photos that are intended to be funny, ridiculous. Memes behave like infectious viruses and travel from person to person quickly through social media. The 'meme' package allows users to make custom memes.
Author: Guangchuang Yu [aut, cre] (<https://orcid.org/0000-0002-6485-8781>)
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>

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Package dlstats updated to version 0.1.4 with previous version 0.1.3 dated 2019-11-14

Title: Download Stats of R Packages
Description: Monthly download stats of 'CRAN' and 'Bioconductor' packages. Download stats of 'CRAN' packages is from the 'RStudio' 'CRAN mirror', see <https://cranlogs.r-pkg.org:443>. 'Bioconductor' package download stats is at <https://bioconductor.org/packages/stats/>.
Author: Guangchuang Yu [aut, cre]
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>

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Package V8 updated to version 3.4.1 with previous version 3.4.0 dated 2020-11-04

Title: Embedded JavaScript and WebAssembly Engine for R
Description: An R interface to V8: Google's open source JavaScript and WebAssembly engine. This package can be compiled either with V8 version 6 and up, a NodeJS shared library, or the legacy 3.14/3.15 branch of V8.
Author: Jeroen Ooms [aut, cre] (<https://orcid.org/0000-0002-4035-0289>)
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>

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Package rrcovHD updated to version 0.2-7 with previous version 0.2-6 dated 2019-11-29

Title: Robust Multivariate Methods for High Dimensional Data
Description: Robust multivariate methods for high dimensional data including outlier detection (Filzmoser and Todorov (2013) <doi:10.1016/j.ins.2012.10.017>), robust sparse PCA (Croux et al. (2013) <doi:10.1080/00401706.2012.727746>, Todorov and Filzmoser (2013) <doi:10.1007/978-3-642-33042-1_31>), robust PLS (Todorov and Filzmoser (2014) <doi:10.17713/ajs.v43i4.44>), and robust sparse classification (Ortner et al. (2020) <doi:10.1007/s10618-019-00666-8>).
Author: Valentin Todorov [aut, cre] (<https://orcid.org/0000-0003-4215-0245>)
Maintainer: Valentin Todorov <valentin.todorov@chello.at>

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Package paleopop updated to version 2.1.1 with previous version 2.1.0 dated 2021-04-22

Title: Pattern-Oriented Modeling Framework for Coupled Niche-Population Paleo-Climatic Models
Description: This extension of the poems pattern-oriented modeling (POM) framework provides a collection of modules and functions customized for paleontological time-scales, and optimized for single-generation transitions and large populations, across multiple generations.
Author: Sean Haythorne [aut], Julia Pilowsky [aut, cre] (<https://orcid.org/0000-0002-6376-2585>)
Maintainer: Julia Pilowsky <julia.pilowsky@adelaide.edu.au>

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Package npreg updated to version 1.0-6 with previous version 1.0-5 dated 2020-11-30

Title: Nonparametric Regression via Smoothing Splines
Description: Multiple and generalized nonparametric regression using smoothing spline ANOVA models and generalized additive models, as described in Helwig (2020) <doi:10.4135/9781526421036885885>. Includes support for Gaussian and non-Gaussian responses, smoothers for multiple types of predictors, interactions between smoothers of mixed types, and eight different methods for smoothing parameter selection.
Author: Nathaniel E. Helwig <helwig@umn.edu>
Maintainer: Nathaniel E. Helwig <helwig@umn.edu>

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Package mockthat updated to version 0.2.6 with previous version 0.2.4 dated 2020-12-09

Title: Function Mocking for Unit Testing in R
Description: With the deprecation of mocking capabilities shipped with 'testthat' as of 'edition 3' it is left to third-party packages to replace this functionality, which in some test-scenarios is essential in order to run unit tests in limited environments (such as no Internet connection). Mocking in this setting means temporarily substituting a function with a stub that acts in some sense like the original function (for example by serving a HTTP response that has been cached as a file). The only exported function 'with_mock()' is modeled after the eponymous 'testthat' function with the intention of providing a drop-in replacement.
Author: Nicolas Bennett [aut, cre]
Maintainer: Nicolas Bennett <nicolas.bennett@stat.math.ethz.ch>

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Package mcr updated to version 1.2.2 with previous version 1.2.1 dated 2014-02-12

Title: Method Comparison Regression
Description: Regression methods to quantify the relation between two measurement methods. In particular it addresses regression problems with errors in both variables and without repeated measurements. The package provides implementations of Deming regression, weighted Deming regression, and Passing-Bablok regression following the CLSI EP09-A3 recommendations for analytical method comparison and bias estimation using patient samples.
Author: Ekaterina Manuilova <ekaterina.manuilova@roche.com> Andre Schuetzenmeister <andre.schuetzenmeister@roche.com> Fabian Model <fabian.model@roche.com>
Maintainer: Sergej Potapov <sergej.potapov@roche.com>

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Package iNZightTools updated to version 1.11.0 with previous version 1.10 dated 2020-12-14

Title: Tools for 'iNZight'
Description: Provides a collection of wrapper functions for common variable and dataset manipulation workflows primarily used by 'iNZight', a graphical user interface providing easy exploration and visualisation of data for students of statistics, available in both desktop and online versions. Additionally, many of the functions return the 'tidyverse' code used to obtain the result in an effort to bridge the gap between GUI and coding.
Author: Tom Elliott [aut, cre] (<https://orcid.org/0000-0002-7815-6318>), Christoph Knopf [ctb], Akshay Gupta [ctb], Owen Jin [aut] (Tidyverse variable/data manipulation functions), Lushi Cai [ctb], Yiwen He [aut] (Dates/times and dataset manipulation), Daniel Barnett [aut] (Data validation)
Maintainer: Tom Elliott <tom.elliott@auckland.ac.nz>

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Package himach updated to version 0.1.1 with previous version 0.1.0 dated 2021-04-15

Title: High Mach Finds Routes for Supersonic Aircraft
Description: For supersonic aircraft, flying subsonic over land, High Mach finds the best route between airports. Allows for coastal buffer and potentially closed regions. Uses minimal model of aircraft performance: focus is on time saved versus subsonic flight, rather than vertical flight profile. For modelling and forecasting, not for planning your flight!
Author: David Marsh [aut, cre], EUROCONTROL [fnd, cph]
Maintainer: David Marsh <david.marsh@eurocontrol.int>

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Package BAwiR updated to version 1.2.6 with previous version 1.2.5 dated 2021-02-12

Title: Analysis of Basketball Data
Description: Collection of tools to work with basketball data. Functions available are related to friendly web scraping and visualization. Data were obtained from <https://www.euroleague.net/>, <https://www.eurocupbasketball.com/> and <http://www.acb.com>, following the instructions of their respectives robots.txt files, when available. Tools for visualization include a population pyramid, 2D plots, circular plots of players' percentiles, plots of players' monthly/yearly stats, team heatmaps, team shooting plots, team four factors plots, cross-tables with the results of regular season games and maps of nationalities. Please see Vinue (2020) <doi:10.1089/big.2018.0124>.
Author: Guillermo Vinue
Maintainer: Guillermo Vinue <Guillermo.Vinue@uv.es>

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New package ra4bayesmeta with initial version 1.0-7
Package: ra4bayesmeta
Title: Reference Analysis for Bayesian Meta-Analysis
Version: 1.0-7
Date: 2021-04-21
Authors@R: c(person("Manuela", "Ott", role = c("aut", "cre"), email = "manuela.c.ott@gmail.com"), person("Malgorzata", "Roos", role = "aut") )
Author: Manuela Ott [aut, cre], Malgorzata Roos [aut]
Maintainer: Manuela Ott <manuela.c.ott@gmail.com>
Description: Functionality for performing a principled reference analysis in the Bayesian normal-normal hierarchical model used for Bayesian meta-analysis, as described in Ott, Plummer and Roos (2021, "How vague is vague? How informative is informative? Reference analysis for Bayesian meta-analysis", under minor revision for Statistics in Medicine). Computes a reference posterior, induced by a minimally informative improper reference prior for the between-study (heterogeneity) standard deviation. Determines additional proper anti-conservative (and conservative) prior benchmarks. Includes functions for reference analyses at both the posterior and the prior level, which, given the data, quantify the informativeness of a heterogeneity prior of interest relative to the minimally informative reference prior and the proper prior benchmarks. The functions operate on data sets which are compatible with the 'bayesmeta' package.
Depends: bayesmeta, R (>= 3.5.0)
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2021-04-21 06:18:15 UTC; manuela
Repository: CRAN
Date/Publication: 2021-04-23 07:50:03 UTC

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New package protti with initial version 0.1.0
Package: protti
Title: Bottom-Up Proteomics and LiP-MS Quality Control and Data Analysis Tools
Version: 0.1.0
Authors@R: c(person(given = "Jan-Philipp", family = "Quast", role = c("aut", "cre"), email = "quast@imsb.biol.ethz.ch"), person(given = "Dina", family = "Schuster", role = c("aut"), email = "dschuster@ethz.ch"), person(given = "ETH Zurich", role = c("cph", "fnd")))
Description: Useful functions and workflows for proteomics quality control and data analysis of both limited proteolysis-coupled mass spectrometry (LiP-MS) (Schopper et al. (2017) <doi:10.1038/nprot.2017.100>) and regular bottom-up proteomics experiments. Data generated with search tools such as 'Spectronaut', 'MaxQuant' and 'Proteome Discover' can be easily used due to flexibility of functions.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
biocViews:
Imports: rlang, dplyr, stringr, magrittr, data.table, janitor, progress, purrr, tidyr, ggplot2, forcats, tibble, plotly, ggrepel, methods, utils, grDevices
Suggests: testthat, covr, knitr, rmarkdown, proDA, limma, dendextend, pheatmap, heatmaply, viridis, iq, furrr, future, parallel, seriation, drc, naniar, httr, igraph, stringi, STRINGdb
Depends: R (>= 4.0)
URL: https://github.com/jpquast/protti, https://jpquast.github.io/protti/
BugReports: https://github.com/jpquast/protti/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-04-21 17:16:14 UTC; jan-philippquast
Author: Jan-Philipp Quast [aut, cre], Dina Schuster [aut], ETH Zurich [cph, fnd]
Maintainer: Jan-Philipp Quast <quast@imsb.biol.ethz.ch>
Repository: CRAN
Date/Publication: 2021-04-23 08:00:02 UTC

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New package braggR with initial version 0.1.0
Package: braggR
Title: Calculate the Revealed Aggregator of Probability Predictions
Version: 0.1.0
Authors@R: c(person(given = "Ville", family = "Satopää", email = "ville.satopaa@gmail.com", role = c("aut", "cre", "cph")))
Description: Forecasters predicting the chances of a future event may disagree due to differing evidence or noise. To harness the collective evidence of the crowd, Ville Satopää (2021) "Regularized Aggregation of One-off Probability Predictions" <https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3769945> proposes a Bayesian aggregator that is regularized by analyzing the forecasters' disagreement and ascribing over-dispersion to noise. This aggregator requires no user intervention and can be computed efficiently even for a large numbers of predictions. The author evaluates the aggregator on subjective probability predictions collected during a four-year forecasting tournament sponsored by the US intelligence community. The aggregator improves the accuracy of simple averaging by around 20% and other state-of-the-art aggregators by 10-25%. The advantage stems almost exclusively from improved calibration. This aggregator -- know as "the revealed aggregator" -- inputs a) forecasters' probability predictions (p) of a future binary event and b) the forecasters' base rate (p0) of the future event. In this R-package, the function sample_aggregator(p,p0,...) allows the user to calculate the revealed aggregator. Its use is illustrated with a simple stylized example.
License: GPL-2
Copyright: (c) Ville Satopaa
Encoding: UTF-8
LinkingTo: Rcpp
Imports: Rcpp
Suggests: testthat (>= 3.0.0)
NeedsCompilation: yes
Packaged: 2021-04-16 12:33:30 UTC; ville.satopaa
Author: Ville Satopää [aut, cre, cph]
Maintainer: Ville Satopää <ville.satopaa@gmail.com>
Repository: CRAN
Date/Publication: 2021-04-23 07:50:06 UTC

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Package NPP updated to version 0.4.0 with previous version 0.3.0 dated 2021-01-14

Title: Normalized Power Prior Bayesian Analysis
Description: Posterior sampling in several commonly used distributions using normalized power prior as described in Duan, Ye and Smith (2006) <doi:10.1002/env.752> and Ibrahim et.al. (2015) <doi:10.1002/sim.6728>. Sampling of the power parameter is achieved via either independence Metropolis-Hastings or random walk Metropolis-Hastings based on transformation.
Author: Zifei Han, Tianyu Bai and Keying Ye
Maintainer: Zifei Han <hanzifei1@gmail.com>

Diff between NPP versions 0.3.0 dated 2021-01-14 and 0.4.0 dated 2021-04-23

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Package swissdd (with last version 1.1.1) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2021-02-15 1.1.1
2021-02-03 1.1.0
2020-10-25 1.0.4

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Package tune updated to version 0.1.5 with previous version 0.1.4 dated 2021-04-20

Title: Tidy Tuning Tools
Description: The ability to tune models is important. 'tune' contains functions and classes to be used in conjunction with other 'tidymodels' packages for finding reasonable values of hyper-parameters in models, pre-processing methods, and post-processing steps.
Author: Max Kuhn [aut, cre] (<https://orcid.org/0000-0003-2402-136X>), RStudio [cph]
Maintainer: Max Kuhn <max@rstudio.com>

Diff between tune versions 0.1.4 dated 2021-04-20 and 0.1.5 dated 2021-04-23

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Package SSBtools updated to version 1.1.0 with previous version 1.0.0 dated 2021-03-04

Title: Statistics Norway's Miscellaneous Tools
Description: Functions used by other packages from Statistics Norway are gathered. General data manipulation functions, and functions for hierarchical computations are included (Langsrud, 2020) <doi:10.13140/RG.2.2.27313.61283>. The hierarchy specification functions are useful within statistical disclosure control.
Author: Øyvind Langsrud [aut, cre], Bjørn-Helge Mevik [cph]
Maintainer: Øyvind Langsrud <oyl@ssb.no>

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Package pcaPP updated to version 1.9-74 with previous version 1.9-73 dated 2018-01-14

Title: Robust PCA by Projection Pursuit
Description: Provides functions for robust PCA by projection pursuit. The methods are described in Croux et al. (2006) <doi:10.2139/ssrn.968376>, Croux et al. (2013) <doi:10.1080/00401706.2012.727746>, Todorov and Filzmoser (2013) <doi:10.1007/978-3-642-33042-1_31>.
Author: Peter Filzmoser, Heinrich Fritz, Klaudius Kalcher
Maintainer: Valentin Todorov <valentin.todorov@chello.at>

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Package NatureSounds updated to version 1.0.4 with previous version 1.0.3 dated 2020-03-13

Title: Animal Sounds for Bioacustic Analysis
Description: Collection of example animal sounds for bioacoustic analysis.
Author: Marcelo Araya-Salas [aut, cre]
Maintainer: Marcelo Araya-Salas <marcelo.araya@ucr.ac.cr>

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Package khroma updated to version 1.5.0 with previous version 1.4.1 dated 2021-03-17

Title: Colour Schemes for Scientific Data Visualization
Description: Colour schemes ready for each type of data (qualitative, diverging or sequential), with colours that are distinct for all people, including colour-blind readers. This package provides an implementation of Paul Tol (2018) and Fabio Crameri (2018) <doi: 10.5194/gmd-11-2541-2018> colour schemes for use with 'graphics' or 'ggplot2'. It provides tools to simulate colour-blindness and to test how well the colours of any palette are identifiable. Several scientific thematic schemes (geologic timescale, land cover, FAO soils, etc.) are also implemented.
Author: Nicolas Frerebeau [aut, cre] (<https://orcid.org/0000-0001-5759-4944>), Brice Lebrun [ctb] (<https://orcid.org/0000-0001-7503-8685>), Vincent Arel-Bundock [ctb] (<https://orcid.org/0000-0003-2042-7063>)
Maintainer: Nicolas Frerebeau <nicolas.frerebeau@u-bordeaux-montaigne.fr>

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Thu, 22 Apr 2021

Package LPRelevance updated to version 3.2 with previous version 3.1 dated 2020-05-16

Title: Relevance-Integrated Statistical Inference Engine
Description: Provide methods to perform customized inference at individual level by taking contextual covariates into account. Three main functions are provided in this package: (i) LASER(): it generates specially-designed artificial relevant samples for a given case; (ii) g2l.proc(): computes customized fdr(z|x); and (iii) rEB.proc(): performs empirical Bayes inference based on LASERs. The details can be found in Mukhopadhyay, S., and Wang, K (2021, <arXiv:2004.09588>).
Author: Subhadeep Mukhopadhyay, Kaijun Wang
Maintainer: Kaijun Wang <kaijunwang.19@gmail.com>

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Package dmutate updated to version 0.1.3 with previous version 0.1.2 dated 2017-08-28

Title: Mutate Data Frames with Random Variates
Description: Work within the 'dplyr' workflow to add random variates to your data frame. Variates can be added at any level of an existing column. Also, bounds can be specified for simulated variates.
Author: Kyle T Baron [aut, cre, cph]
Maintainer: Kyle T Baron <kylebtwin@imap.cc>

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Package xgxr updated to version 1.1.1 with previous version 1.1.0 dated 2021-02-04

Title: Exploratory Graphics for Pharmacometrics
Description: Supports a structured approach for exploring PKPD data <https://opensource.nibr.com/xgx/>. It also contains helper functions for enabling the modeler to follow best R practices (by appending the program name, figure name location, and draft status to each plot). In addition, it enables the modeler to follow best graphical practices (by providing a theme that reduces chart ink, and by providing time-scale, log-scale, and reverse-log-transform-scale functions for more readable axes). Finally, it provides some data checking and summarizing functions for rapidly exploring pharmacokinetics and pharmacodynamics (PKPD) datasets.
Author: Andrew Stein [aut, cre], Alison Margolskee [aut], Fariba Khanshan [aut], Konstantin Krismer [aut] (<https://orcid.org/0000-0001-8994-3416>), Matthew Fidler [ctb] (<https://orcid.org/0000-0001-8538-6691>), Novartis Pharma AG [cph, fnd]
Maintainer: Andrew Stein <andy.stein@gmail.com>

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Package targets updated to version 0.4.1 with previous version 0.3.1 dated 2021-03-28

Title: Dynamic Function-Oriented 'Make'-Like Declarative Workflows
Description: As a pipeline toolkit for Statistics and data science in R, the 'targets' package brings together function-oriented programming and 'Make'-like declarative workflows. It analyzes the dependency relationships among the tasks of a workflow, skips steps that are already up to date, runs the necessary computation with optional parallel workers, abstracts files as R objects, and provides tangible evidence that the results match the underlying code and data. The methodology in this package borrows from GNU 'Make' (2015, ISBN:978-9881443519) and 'drake' (2018, <doi:10.21105/joss.00550>).
Author: William Michael Landau [aut, cre] (<https://orcid.org/0000-0003-1878-3253>), Matthew T. Warkentin [ctb], Samantha Oliver [rev] (<https://orcid.org/0000-0001-5668-1165>), Tristan Mahr [rev] (<https://orcid.org/0000-0002-8890-5116>), Eli Lilly and Company [cph]
Maintainer: William Michael Landau <will.landau@gmail.com>

Diff between targets versions 0.3.1 dated 2021-03-28 and 0.4.1 dated 2021-04-22

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Package cronologia updated to version 0.2.0 with previous version 0.1.0 dated 2021-02-07

Title: Create an HTML Vertical Timeline from a Data Frame in 'rmarkdown' and 'shiny'
Description: Creates an HTML vertical timeline from a data frame as an input for 'rmarkdown' documents and 'shiny' applications.
Author: Mohamed El Fodil Ihaddaden
Maintainer: Mohamed El Fodil Ihaddaden <ihaddaden.fodeil@gmail.com>

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Package clock updated to version 0.3.0 with previous version 0.2.0 dated 2021-04-12

Title: Date-Time Types and Tools
Description: Provides a comprehensive library for date-time manipulations using a new family of orthogonal date-time classes (durations, time points, zoned-times, and calendars) that partition responsibilities so that the complexities of time zones are only considered when they are really needed. Capabilities include: date-time parsing, formatting, arithmetic, extraction and updating of components, and rounding.
Author: Davis Vaughan [aut, cre], RStudio [cph, fnd]
Maintainer: Davis Vaughan <davis@rstudio.com>

Diff between clock versions 0.2.0 dated 2021-04-12 and 0.3.0 dated 2021-04-22

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Package BHSBVAR updated to version 3.0.0 with previous version 2.1.0 dated 2020-08-26

Title: Structural Bayesian Vector Autoregression Models
Description: Provides a function for estimating the parameters of Structural Bayesian Vector Autoregression models with the method developed by Baumeister and Hamilton (2015) <doi:10.3982/ECTA12356>, Baumeister and Hamilton (2017) <doi:10.3386/w24167>, and Baumeister and Hamilton (2018) <doi:10.1016/j.jmoneco.2018.06.005>. Functions for plotting impulse responses, historical decompositions, and posterior distributions of model parameters are also provided.
Author: Paul Richardson
Maintainer: Paul Richardson <p.richardson.54391@gmail.com>

Diff between BHSBVAR versions 2.1.0 dated 2020-08-26 and 3.0.0 dated 2021-04-22

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Package mrbin updated to version 1.5.1 with previous version 1.5.0 dated 2021-01-04

Title: Magnetic Resonance Binning, Integration and Normalization
Description: Nuclear Magnetic Resonance is widely used in Life Science research. The package (<doi:10.1021/acs.jproteome.0c00684>) converts 1D or 2D data into a matrix of values suitable for further data analysis and performs basic processing steps in a reproducible way. Negative values, a common issue in such data, are replaced by positive values. All used parameters are stored in a readable text file and can be restored from that file to enable exact reproduction of the data at a later time.
Author: Matthias Klein [aut, cre] (<https://orcid.org/0000-0001-7455-5381>)
Maintainer: Matthias Klein <klein.663@osu.edu>

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Package drake updated to version 7.13.2 with previous version 7.13.1 dated 2021-02-03

Title: A Pipeline Toolkit for Reproducible Computation at Scale
Description: A general-purpose computational engine for data analysis, drake rebuilds intermediate data objects when their dependencies change, and it skips work when the results are already up to date. Not every execution starts from scratch, there is native support for parallel and distributed computing, and completed projects have tangible evidence that they are reproducible. Extensive documentation, from beginner-friendly tutorials to practical examples and more, is available at the reference website <https://docs.ropensci.org/drake/> and the online manual <https://books.ropensci.org/drake/>.
Author: William Michael Landau [aut, cre] (<https://orcid.org/0000-0003-1878-3253>), Alex Axthelm [ctb], Jasper Clarkberg [ctb], Kirill Müller [ctb], Ben Bond-Lamberty [ctb] (<https://orcid.org/0000-0001-9525-4633>), Tristan Mahr [ctb] (<https://orcid.org/0000-0002-8890-5116>), Miles McBain [ctb] (<https://orcid.org/0000-0003-2865-2548>), Noam Ross [ctb] (<https://orcid.org/0000-0002-2136-0000>), Ellis Hughes [ctb], Matthew Mark Strasiotto [ctb], Ben Marwick [rev], Peter Slaughter [rev], Eli Lilly and Company [cph]
Maintainer: William Michael Landau <will.landau@gmail.com>

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More information about drake at CRAN
Permanent link

Package IalsaSynthesis (with last version 0.1.6) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2015-09-02 0.1.6

Permanent link
Package NlsyLinks (with last version 2.0.6) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2016-04-19 2.0.6
2015-08-18 2.0.1
2013-12-06 1.302
2013-11-27 1.300
2012-12-19 1.200
2012-05-21 1.003
2012-04-27 1.0
2012-03-10 0.19
2012-01-16 0.10

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Package RSQLite updated to version 2.2.7 with previous version 2.2.6 dated 2021-04-11

Title: 'SQLite' Interface for R
Description: Embeds the 'SQLite' database engine in R and provides an interface compliant with the 'DBI' package. The source for the 'SQLite' engine is included.
Author: Kirill Müller [aut, cre] (<https://orcid.org/0000-0002-1416-3412>), Hadley Wickham [aut], David A. James [aut], Seth Falcon [aut], SQLite Authors [ctb] (for the included SQLite sources), Liam Healy [ctb] (for the included SQLite sources), R Consortium [fnd], RStudio [cph]
Maintainer: Kirill Müller <krlmlr+r@mailbox.org>

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Package randomNames updated to version 1.5-0.0 with previous version 1.4-0.0 dated 2019-03-07

Title: Generate Random Given and Surnames
Description: Function for generating random gender and ethnicity correct first and/or last names. Names are chosen proportionally based upon their probability of appearing in a large scale data base of real names.
Author: Damian W. Betebenner [aut, cre]
Maintainer: Damian W. Betebenner <dbetebenner@nciea.org>

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New package RAMClustR with initial version 1.2.0
Package: RAMClustR
Title: Mass Spectrometry Metabolomics Feature Clustering and Interpretation
Version: 1.2.0
Date: 2021-04-19
Author: Corey D. Broeckling, Fayyaz Afsar, Steffan Neumann, Asa Ben-Hur, Jessica Prenni.
Maintainer: "Broeckling,Corey" <Corey.Broeckling@ColoState.EDU>
Imports: dynamicTreeCut, fastcluster, ff, InterpretMSSpectrum, BiocManager, httr, jsonlite, preprocessCore, e1071, gplots, pcaMethods, stringr, xml2, utils, webchem, stringi, RCurl, MSnbase, ggplot2
License: GPL (>= 2)
Description: A feature clustering algorithm for non-targeted mass spectrometric metabolomics data. This method is compatible with gas and liquid chromatography coupled mass spectrometry, including indiscriminant tandem mass spectrometry <DOI: 10.1021/ac501530d> data.
URL: https://github.com/cbroeckl/RAMClustR
Encoding: UTF-8
biocViews: MassSpectrometry, Metabolomics
Suggests: knitr, rmarkdown, xcms
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-04-20 15:39:35 UTC; cbroe
Repository: CRAN
Date/Publication: 2021-04-22 15:20:02 UTC

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Package BaseSet updated to version 0.0.16 with previous version 0.0.15 dated 2021-03-20

Title: Working with Sets the Tidy Way
Description: Implements a class and methods to work with sets, doing intersection, union, complementary sets, power sets, cartesian product and other set operations in a "tidy" way. These set operations are available for both classical sets and fuzzy sets. Import sets from several formats or from other several data structures.
Author: Lluís Revilla Sancho [aut, cre] (<https://orcid.org/0000-0001-9747-2570>), Zebulun Arendsee [rev], Jennifer Chang [rev]
Maintainer: Lluís Revilla Sancho <lluis.revilla@gmail.com>

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Package ukbabynames updated to version 0.2.0 with previous version 0.1.1 dated 2017-06-20

Title: UK Baby Names Data
Description: Full listing of UK baby names occurring more than three times per year between 1974 and 2020, and rankings of baby name popularity by decade from 1904 to 1994.
Author: Mine Çetinkaya-Rundel [aut, cre, cph] (<https://orcid.org/0000-0001-6452-2420>), Thomas J. Leeper [aut], Nicholas Goguen-Compagnoni [aut]
Maintainer: Mine Çetinkaya-Rundel <cetinkaya.mine@gmail.com>

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Package TSEtools updated to version 0.2.1 with previous version 0.2.0 dated 2021-01-24

Title: Manage Data from Stock Exchange Markets
Description: Tools to perform some descriptive data analysis for assets. Manage the portfolio and capital of assets. It also downloads and organizes data from the Tehran Stock Exchange (TSE).
Author: Ali Saeb
Maintainer: Ali Saeb <ali.saeb@gmail.com>

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Package tensorTS updated to version 0.1.1 with previous version 0.1.0 dated 2021-04-21

Title: Factor and Autoregressive Models for Tensor Time Series
Description: Factor and autoregressive models for matrix and tensor valued time series. We provide functions for estimation, simulation and prediction. The models are discussed in Chen et al (2020) <DOI:10.1016/j.jeconom.2020.07.015>, Chen et al (2020) <arXiv:1905.07530>, and Han et al (2020) <arXiv:2006.02611>.
Author: Zebang Li [aut, cre], Ruofan Yu [aut], Rong Chen [aut], Yuefeng Han [aut], Han Xiao [aut], Dan Yang [aut]
Maintainer: Zebang Li <zl326@stat.rutgers.edu>

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Package stagedtrees updated to version 2.1.0 with previous version 2.0.1 dated 2020-12-08

Title: Staged Event Trees
Description: Creates and fits staged event tree probability models, which are probabilistic graphical models capable of representing asymmetric conditional independence statements for categorical variables. Includes functions to create, plot and fit staged event trees from data, as well as many efficient structure learning algorithms. References: Collazo R. A., Görgen C. and Smith J. Q. (2018, ISBN:9781498729604). Görgen C., Bigatti A., Riccomagno E. and Smith J. Q. (2018) <arXiv:1705.09457>. Thwaites P. A., Smith, J. Q. (2017) <arXiv:1510.00186>. Barclay L. M., Hutton J. L. and Smith J. Q. (2013) <doi:10.1016/j.ijar.2013.05.006>. Smith J. Q. and Anderson P. E. (2008) <doi:10.1016/j.artint.2007.05.004>.
Author: Gherardo Varando [aut, cre] (<https://orcid.org/0000-0002-6708-1103>), Federico Carli [aut], Manuele Leonelli [aut] (<https://orcid.org/0000-0002-2562-5192>), Eva Riccomagno [aut]
Maintainer: Gherardo Varando <gherardo.varando@gmail.com>

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Package sitar updated to version 1.2.0 with previous version 1.1.2 dated 2020-02-17

Title: Super Imposition by Translation and Rotation Growth Curve Analysis
Description: Functions for fitting and plotting SITAR (Super Imposition by Translation And Rotation) growth curve models. SITAR is a shape-invariant model with a regression B-spline mean curve and subject-specific random effects on both the measurement and age scales. The model was first described by Lindstrom (1995) <doi:10.1002/sim.4780141807> and developed as the SITAR method by Cole et al (2010) <doi:10.1093/ije/dyq115>.
Author: Tim Cole [aut, cre] (<https://orcid.org/0000-0001-5711-8200>)
Maintainer: Tim Cole <tim.cole@ucl.ac.uk>

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Package rslurm updated to version 0.6.0 with previous version 0.5.0 dated 2019-11-15

Title: Submit R Calculations to a 'Slurm' Cluster
Description: Functions that simplify submitting R scripts to a 'Slurm' workload manager, in part by automating the division of embarrassingly parallel calculations across cluster nodes.
Author: Philippe Marchand [aut], Ian Carroll [aut], Mike Smorul [aut], Rachael Blake [aut], Quentin Read [aut, cre], Dayne Filer [ctb], Ben Fasoli [ctb], Pol van Rijn [ctb], Sebastian Schubert [ctb], Rob Gilmore [ctb], Christopher Barrington [ctb], Se Jong Cho [art]
Maintainer: Quentin Read <qread@sesync.org>

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Package provDebugR updated to version 1.0.1 with previous version 1.0 dated 2021-02-17

Title: A Time-Travelling Debugger
Description: Uses provenance post-execution to help the user understand and debug their script by providing functions to look at intermediate steps and data values, their forwards and backwards lineage, and to understand the steps leading up to warning and error messages. 'provDebugR' uses provenance produced by 'rdtLite' (available on CRAN), stored in PROV-JSON format.
Author: Orenna Brand [aut], Elizabeth Fong [aut], Barbara Lerner [cre], Rose Sheehan [aut], Joseph Wonsil [aut], Emery Boose [aut]
Maintainer: Barbara Lerner <blerner@mtholyoke.edu>

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Package iSubGen updated to version 1.0.1 with previous version 1.0.0 dated 2021-04-15

Title: Integrative Subtype Generation
Description: Multi-data type subtyping, which is data type agnostic and accepts missing data. Subtyping is performed using intermediary assessments created with autoencoders and similarity calculations.
Author: Natalie Fox
Maintainer: Paul C Boutros <pboutros@mednet.ucla.edu>

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Package experDesign updated to version 0.1.0 with previous version 0.0.4 dated 2020-09-28

Title: Design Experiments for Batches
Description: Distributes samples in batches while making batches homogeneous according to their description. Allows for an arbitrary number of variables, both numeric and categorical. For quality control it provides functions to subset a representative sample.
Author: Lluís Revilla Sancho [aut, cre] (<https://orcid.org/0000-0001-9747-2570>)
Maintainer: Lluís Revilla Sancho <lluis.revilla@gmail.com>

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Package detectseparation updated to version 0.2 with previous version 0.1 dated 2020-03-25

Title: Detect and Check for Separation and Infinite Maximum Likelihood Estimates
Description: Provides pre-fit and post-fit methods for detecting separation and infinite maximum likelihood estimates in generalized linear models with categorical responses. The pre-fit methods apply on binomial-response generalized liner models such as logit, probit and cloglog regression, and can be directly supplied as fitting methods to the glm() function. They solve the linear programming problems for the detection of separation developed in Konis (2007, <https://ora.ox.ac.uk/objects/uuid:8f9ee0d0-d78e-4101-9ab4-f9cbceed2a2a>) using 'ROI' <https://cran.r-project.org/package=ROI> or 'lpSolveAPI' <https://cran.r-project.org/package=lpSolveAPI>. The post-fit methods apply to models with categorical responses, including binomial-response generalized linear models and multinomial-response models, such as baseline category logits and adjacent category logits models; for example, the models implemented in the 'brglm2' <https://cran.r-project.org/package=brglm2> package. The post-fit methods successively refit the model with increasing number of iteratively reweighted least squares iterations, and monitor the ratio of the estimated standard error for each parameter to what it has been in the first iteration. According to the results in Lesaffre & Albert (1989, <https://www.jstor.org/stable/2345845>), divergence of those ratios indicates data separation.
Author: Ioannis Kosmidis [aut, cre] (<https://orcid.org/0000-0003-1556-0302>), Dirk Schumacher [aut], Kjell Konis [ctb]
Maintainer: Ioannis Kosmidis <ioannis.kosmidis@warwick.ac.uk>

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Package CatReg updated to version 2.0.2 with previous version 2.0.1 dated 2020-11-14

Title: Solution Paths for Linear and Logistic Regression Models with Categorical Predictors, with SCOPE Penalty
Description: Computes solutions for linear and logistic regression models with potentially high-dimensional categorical predictors. This is done by applying a nonconvex penalty (SCOPE) and computing solutions in an efficient path-wise fashion. The scaling of the solution paths is selected automatically. Includes functionality for selecting tuning parameter lambda by k-fold cross-validation and early termination based on information criteria. Solutions are computed by cyclical block-coordinate descent, iterating an innovative dynamic programming algorithm to compute exact solutions for each block.
Author: Benjamin Stokell [aut], Daniel Grose [ctb, cre], Rajen Shah [ctb]
Maintainer: Daniel Grose <dan.grose@lancaster.ac.uk>

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Package bayesGARCH updated to version 2.1.8 with previous version 2.1.7 dated 2021-04-20

Title: Bayesian Estimation of the GARCH(1,1) Model with Student-t Innovations
Description: Provides the bayesGARCH() function which performs the Bayesian estimation of the GARCH(1,1) model with Student's t innovations as described in Ardia (2008) <doi:10.1007/978-3-540-78657-3>.
Author: David Ardia [aut, cre, cph] (<https://orcid.org/0000-0003-2823-782X>)
Maintainer: David Ardia <david.ardia.ch@gmail.com>

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Package TAM updated to version 3.6-45 with previous version 3.5-19 dated 2020-05-06

Title: Test Analysis Modules
Description: Includes marginal maximum likelihood estimation and joint maximum likelihood estimation for unidimensional and multidimensional item response models. The package functionality covers the Rasch model, 2PL model, 3PL model, generalized partial credit model, multi-faceted Rasch model, nominal item response model, structured latent class model, mixture distribution IRT models, and located latent class models. Latent regression models and plausible value imputation are also supported. For details see Adams, Wilson and Wang, 1997 <doi:10.1177/0146621697211001>, Adams, Wilson and Wu, 1997 <doi:10.3102/10769986022001047>, Formann, 1982 <doi:10.1002/bimj.4710240209>, Formann, 1992 <doi:10.1080/01621459.1992.10475229>.
Author: Alexander Robitzsch [aut,cre] (<https://orcid.org/0000-0002-8226-3132>), Thomas Kiefer [aut], Margaret Wu [aut]
Maintainer: Alexander Robitzsch <robitzsch@ipn.uni-kiel.de>

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Package segmented updated to version 1.3-4 with previous version 1.3-3 dated 2021-03-08

Title: Regression Models with Break-Points / Change-Points Estimation
Description: Given a regression model, segmented `updates' it by adding one or more segmented (i.e., piece-wise linear) relationships. Several variables with multiple breakpoints are allowed. The estimation method is discussed in Muggeo (2003, <doi:10.1002/sim.1545>) and illustrated in Muggeo (2008, <https://www.r-project.org/doc/Rnews/Rnews_2008-1.pdf>). An approach for hypothesis testing is presented in Muggeo (2016, <doi:10.1080/00949655.2016.1149855>), and interval estimation for the breakpoint is discussed in Muggeo (2017, <doi:10.1111/anzs.12200>).
Author: Vito M. R. Muggeo [aut, cre] (<https://orcid.org/0000-0002-3386-4054>)
Maintainer: Vito M. R. Muggeo <vito.muggeo@unipa.it>

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Package qrandom updated to version 1.2.4 with previous version 1.2.3 dated 2020-09-08

Title: True Random Numbers using the ANU Quantum Random Numbers Server
Description: The ANU Quantum Random Number Generator provided by the Australian National University generates true random numbers in real-time by measuring the quantum fluctuations of the vacuum. This package offers an interface using their API. The electromagnetic field of the vacuum exhibits random fluctuations in phase and amplitude at all frequencies. By carefully measuring these fluctuations, one is able to generate ultra-high bandwidth random numbers. The quantum Random Number Generator is based on the papers by Symul et al., (2011) <doi:10.1063/1.3597793> and Haw, et al. (2015) <doi:10.1103/PhysRevApplied.3.054004>. The package offers functions to retrieve a sequence of random integers or hexadecimals and true random samples from a normal or uniform distribution.
Author: Siegfried Köstlmeier [aut, cre] (<https://orcid.org/0000-0002-7221-6981>), Boris Steipe [ctb] (<https://orcid.org/0000-0002-1134-6758>)
Maintainer: Siegfried Köstlmeier <siegfried.koestlmeier@gmail.com>

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Package mobirep updated to version 0.2.3 with previous version 0.2.2 dated 2021-04-20

Title: Models Bivariate Dependence and Produces Bivariate Return Periods
Description: Models the dependence between two variables in the extremes, identifies most relevant models among six models: the conditional extremes model, the Jt-KDE model and four copulae (Gumbel, Galambos, Normal, FGM). Bivariate return periods for the six models and bivariate level curves can be created. Methods used in the package are described in the following reference: Tilloy, Malamud, Winter and Joly-Laugel (2020) <doi:10.5194/nhess-20-2091-2020> Supporting references for the conditional extremes model, Jt-KDE model and for copula modelling are the following: Heffernan and Tawn (2004) <doi:10.1111/j.1467-9868.2004.02050.x> Cooley, Thibaud, Castillo and Wehner (2019) <doi:10.1007/s10687-019-00348-0> Nelsen (2006) <doi:10.1007/0-387-28678-0>.
Author: Alois Tilloy [aut, cre] (<https://orcid.org/0000-0002-5881-0642>)
Maintainer: Alois Tilloy <alois.tilloy@kcl.ac.uk>

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Package midasml updated to version 0.1.3 with previous version 0.1.2 dated 2021-04-21

Title: Estimation and Prediction Methods for High-Dimensional Mixed Frequency Time Series Data
Description: The 'midasml' package implements estimation and prediction methods for high-dimensional mixed-frequency (MIDAS) time-series and panel data regression models. The regularized MIDAS models are estimated using orthogonal (e.g. Legendre) polynomials and sparse-group LASSO (sg-LASSO) estimator. For more information on the `midasml' approach see Babii, Ghysels, and Striaukas (2021, JBES forthcoming) <doi:10.1080/07350015.2021.1899933>. The package is equipped with the fast implementation of the sg-LASSO estimator by means of proximal block coordinate descent. High-dimensional mixed frequency time-series data can also be easily manipulated with functions provided in the package.
Author: Jonas Striaukas [cre, aut], Andrii Babii [aut], Eric Ghysels [aut], Alex Kostrov [ctb] (Contributions to analytical gradients for non-linear low-dimensional MIDAS estimation code)
Maintainer: Jonas Striaukas <jonas.striaukas@gmail.com>

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Package ICSS updated to version 1.1 with previous version 1.0 dated 2020-06-02

Title: ICSS Algorithm by Inclan/Tiao (1994)
Description: The Iterative Cumulative Sum of Squares (ICSS) algorithm by Inclan/Tiao (1994) <https://www.jstor.org/stable/2290916> detects multiple change points, i.e. structural break points, in the variance of a sequence of independent observations. For series of moderate size (i.e. 200 observations and beyond), the ICSS algorithm offers results comparable to those obtained by a Bayesian approach or by likelihood ration tests, without the heavy computational burden required by these approaches.
Author: Siegfried Köstlmeier [aut, cre, cph] (<https://orcid.org/0000-0002-7221-6981>)
Maintainer: Siegfried Köstlmeier <siegfried.koestlmeier@gmail.com>

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Package dotenv updated to version 1.0.3 with previous version 1.0.2 dated 2017-03-01

Title: Load Environment Variables from '.env'
Description: Load configuration from a '.env' file, that is in the current working directory, into environment variables.
Author: Gábor Csárdi [aut, cre, cph]
Maintainer: Gábor Csárdi <csardi.gabor@gmail.com>

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Package designr updated to version 0.1.12 with previous version 0.1.11 dated 2021-03-07

Title: Balanced Factorial Designs
Description: Generate balanced factorial designs with crossed and nested random and fixed effects <https://github.com/mmrabe/designr>.
Author: Maximilian M. Rabe [aut, cre] (<https://orcid.org/0000-0002-2556-5644>), Reinhold Kliegl [aut] (<https://orcid.org/0000-0002-0180-8488>), Daniel J. Schad [aut] (<https://orcid.org/0000-0003-2586-6823>)
Maintainer: Maximilian M. Rabe <maximilian.rabe@uni-potsdam.de>

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Package bookdown updated to version 0.22 with previous version 0.21 dated 2020-10-13

Title: Authoring Books and Technical Documents with R Markdown
Description: Output formats and utilities for authoring books and technical documents with R Markdown.
Author: Yihui Xie [aut, cre] (<https://orcid.org/0000-0003-0645-5666>), JJ Allaire [ctb], Albert Kim [ctb], Alessandro Samuel-Rosa [ctb], Andrzej Oles [ctb], Atsushi Yasumoto [ctb] (<https://orcid.org/0000-0002-8335-495X>), Aust Frederik [ctb] (<https://orcid.org/0000-0003-4900-788X>), Bastiaan Quast [ctb], Ben Marwick [ctb], Chester Ismay [ctb], Christophe Dervieux [ctb], Clifton Franklund [ctb], Daniel Emaasit [ctb], David Shuman [ctb], Dean Attali [ctb], Drew Tyre [ctb], Ellis Valentiner [ctb], Frans van Dunne [ctb], Hadley Wickham [ctb], Jeff Allen [ctb], Jennifer Bryan [ctb], Jonathan McPhers [ctb], JooYoung Seo [ctb] (<https://orcid.org/0000-0002-4064-6012>), Joyce Robbins [ctb], Junwen Huang [ctb], Kevin Cheung [ctb], Kevin Ushey [ctb], Kim Seonghyun [ctb], Kirill Muller [ctb], Luciano Selzer [ctb], Matthew Lincoln [ctb], Maximilian Held [ctb], Michael Sachs [ctb], Michal Bojanowski [ctb], Nathan Werth [ctb], Noam Ross [ctb], Peter Hickey [ctb], Pedro Rafael D. Marinho [ctb] (<https://orcid.org/0000-0003-1591-8300>), Romain Lesur [ctb] (<https://orcid.org/0000-0002-0721-5595>), Sahir Bhatnagar [ctb], Shir Dekel [ctb] (<https://orcid.org/0000-0003-1773-2446>), Steve Simpson [ctb], Thierry Onkelinx [ctb] (<https://orcid.org/0000-0001-8804-4216>), Vincent Fulco [ctb], Yixuan Qiu [ctb], Zhuoer Dong [ctb], RStudio, PBC [cph], Bartek Szopka [ctb] (The jQuery Highlight plugin), Zeno Rocha [cph] (clipboard.js library), jQuery Foundation [cph] (jQuery library), jQuery contributors [ctb, cph] (jQuery library; authors listed in inst/resources/AUTHORS), MathQuill contributors [ctb] (The MathQuill library; authors listed in inst/resources/AUTHORS), FriendCode Inc [cph, ctb] (The gitbook style, with modifications)
Maintainer: Yihui Xie <xie@yihui.name>

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Package od updated to version 0.2.1 with previous version 0.2.0 dated 2021-03-29

Title: Manipulate and Map Origin-Destination Data
Description: The aim of 'od' is to provide tools and example datasets for working with origin-destination ('OD') datasets of the type used to describe aggregate urban mobility patterns (Carey et al. 1981) <doi:10.1287/trsc.15.1.32>. The package builds on functions for working with 'OD' data in the package 'stplanr', (Lovelace and Ellison 2018) <doi:10.32614/RJ-2018-053> with a focus on computational efficiency and support for the 'sf' class system (Pebesma 2018) <doi:10.32614/RJ-2018-009>. With few dependencies and a simple class system based on data frames, the package is intended to facilitate efficient analysis of 'OD' datasets and to provide a place for developing new functions. The package enables the creation and analysis of geographic entities representing large scale mobility patterns, from daily travel between zones in cities to migration between countries.
Author: Robin Lovelace [aut, cre] (<https://orcid.org/0000-0001-5679-6536>), David Cooley [ctb]
Maintainer: Robin Lovelace <rob00x@gmail.com>

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Package neuromplex updated to version 1.0-1 with previous version 0.0-8 dated 2020-06-04

Title: Neural Multiplexing Analysis
Description: Statistical methods for whole-trial and time-domain analysis of single cell neural response to multiple stimuli presented simultaneously. The package is based on the paper by C Glynn, ST Tokdar, A Zaman, VC Caruso, JT Mohl, SM Willett, and JM Groh (2021) "Analyzing second order stochasticity of neural spiking under stimuli-bundle exposure", is in press for publication by the Annals of Applied Statistics. A preprint may be found at <arXiv:1911.04387>.
Author: Surya Tokdar <surya.tokdar@duke.edu>
Maintainer: Surya Tokdar <surya.tokdar@duke.edu>

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Package lingmatch updated to version 1.0.2 with previous version 1.0.1 dated 2021-02-25

Title: Linguistic Matching and Accommodation
Description: Measure similarity between texts. Offers a variety of processing tools and similarity metrics to facilitate flexible representation of texts and matching. Implements forms of Language Style Matching (Ireland & Pennebaker, 2010) <doi:10.1037/a0020386> and Latent Semantic Analysis (Landauer & Dumais, 1997) <doi:10.1037/0033-295X.104.2.211>.
Author: Micah Iserman
Maintainer: Micah Iserman <micah.iserman@gmail.com>

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Package gofCopula updated to version 0.4-1 with previous version 0.3-3 dated 2020-06-14

Title: Goodness-of-Fit Tests for Copulae
Description: Several Goodness-of-Fit (GoF) tests for Copulae are provided. A new hybrid test, Zhang et al. (2016) <doi:10.1016/j.jeconom.2016.02.017> is implemented which supports all of the individual tests in the package, e.g. Genest et al. (2009) <doi:10.1016/j.insmatheco.2007.10.005>. Estimation methods for the margins are provided and all the tests support parameter estimation and predefined values. The parameters are estimated by pseudo maximum likelihood but if it fails the estimation switches automatically to inversion of Kendall's tau. For reproducibility of results, the functions support the definition of seeds. Also all the tests support automatized parallelization of the bootstrapping tasks. The package provides an interface to perform new GoF tests by submitting the test statistic.
Author: Ostap Okhrin <ostap.okhrin@tu-dresden.de>, Simon Trimborn <trimborn.econometrics@gmail.com>, Martin Waltz <martin.waltz@tu-dresden.de>
Maintainer: Simon Trimborn <trimborn.econometrics@gmail.com>

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Package brglm updated to version 0.7.2 with previous version 0.7.1 dated 2020-10-12

Title: Bias Reduction in Binomial-Response Generalized Linear Models
Description: Fit generalized linear models with binomial responses using either an adjusted-score approach to bias reduction or maximum penalized likelihood where penalization is by Jeffreys invariant prior. These procedures return estimates with improved frequentist properties (bias, mean squared error) that are always finite even in cases where the maximum likelihood estimates are infinite (data separation). Fitting takes place by fitting generalized linear models on iteratively updated pseudo-data. The interface is essentially the same as 'glm'. More flexibility is provided by the fact that custom pseudo-data representations can be specified and used for model fitting. Functions are provided for the construction of confidence intervals for the reduced-bias estimates.
Author: Ioannis Kosmidis [aut, cre] (<https://orcid.org/0000-0003-1556-0302>)
Maintainer: Ioannis Kosmidis <ioannis.kosmidis@warwick.ac.uk>

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Package tsfgrnn updated to version 1.0.1 with previous version 1.0.0 dated 2021-03-08

Title: Time Series Forecasting Using GRNN
Description: A general regression neural network (GRNN) is a variant of a Radial Basis Function Network characterized by a fast single-pass learning. 'tsfgrnn' allows you to forecast time series using a GRNN model Francisco Martinez et al. (2019) <doi:10.1007/978-3-030-20521-8_17> and Weizhong Yan (2012) <doi:10.1109/TNNLS.2012.2198074>. When the forecasting horizon is higher than 1, two multi-step ahead forecasting strategies can be used. The model built is autoregressive, that is, it is only based on the observations of the time series. You can consult and plot how the prediction was done. It is also possible to assess the forecasting accuracy of the model using rolling origin evaluation.
Author: Maria Pilar Frias-Bustamante [aut], Ana Maria Martinez-Rodriguez [aut], Antonio Conde-Sanchez [aut], Francisco Martinez [aut, cre]
Maintainer: Francisco Martinez <fmartin@ujaen.es>

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Package onewaytests updated to version 2.6 with previous version 2.5 dated 2021-01-07

Title: One-Way Tests in Independent Groups Designs
Description: Performs one-way tests in independent groups designs including homoscedastic and heteroscedastic tests. These are one-way analysis of variance (ANOVA), Welch's heteroscedastic F test, Welch's heteroscedastic F test with trimmed means and Winsorized variances, Brown-Forsythe test, Alexander-Govern test, James second order test, Kruskal-Wallis test, Scott-Smith test, Box F test and Johansen F test, Generalized tests equivalent to Parametric Bootstrap and Fiducial tests. The package performs pairwise comparisons and graphical approaches. Also, the package includes Student's t test, Welch's t test and Mann-Whitney U test for two samples. Moreover, it assesses variance homogeneity and normality of data in each group via tests and plots (Dag et al., 2018, <https://journal.r-project.org/archive/2018/RJ-2018-022/RJ-2018-022.pdf>).
Author: Osman Dag [aut, cre], Anil Dolgun [aut], N. Meric Konar [aut], Sam Weerahandi [ctb], Malwane Ananda [ctb]
Maintainer: Osman Dag <osman.dag@outlook.com>

Diff between onewaytests versions 2.5 dated 2021-01-07 and 2.6 dated 2021-04-22

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Package xgboost updated to version 1.4.1.1 with previous version 1.3.2.1 dated 2021-01-18

Title: Extreme Gradient Boosting
Description: Extreme Gradient Boosting, which is an efficient implementation of the gradient boosting framework from Chen & Guestrin (2016) <doi:10.1145/2939672.2939785>. This package is its R interface. The package includes efficient linear model solver and tree learning algorithms. The package can automatically do parallel computation on a single machine which could be more than 10 times faster than existing gradient boosting packages. It supports various objective functions, including regression, classification and ranking. The package is made to be extensible, so that users are also allowed to define their own objectives easily.
Author: Tianqi Chen [aut], Tong He [aut, cre], Michael Benesty [aut], Vadim Khotilovich [aut], Yuan Tang [aut] (<https://orcid.org/0000-0001-5243-233X>), Hyunsu Cho [aut], Kailong Chen [aut], Rory Mitchell [aut], Ignacio Cano [aut], Tianyi Zhou [aut], Mu Li [aut], Junyuan Xie [aut], Min Lin [aut], Yifeng Geng [aut], Yutian Li [aut], XGBoost contributors [cph] (base XGBoost implementation)
Maintainer: Tong He <hetong007@gmail.com>

Diff between xgboost versions 1.3.2.1 dated 2021-01-18 and 1.4.1.1 dated 2021-04-22

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Package solartime updated to version 0.0.2 with previous version 0.0.1 dated 2018-12-03

Title: Utilities Dealing with Solar Time Such as Sun Position and Time of Sunrise
Description: Provide utilities to work with solar time, i.e. where noon is exactly when sun culminates. Provides functions for computing sun position and times of sunrise and sunset.
Author: Thomas Wutzler
Maintainer: Thomas Wutzler <twutz@bgc-jena.mpg.de>

Diff between solartime versions 0.0.1 dated 2018-12-03 and 0.0.2 dated 2021-04-22

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Package projections updated to version 0.5.4 with previous version 0.5.2 dated 2020-12-17

Title: Project Future Case Incidence
Description: Provides functions and graphics for projecting daily incidence based on past incidence, and estimates of the serial interval and reproduction number. Projections are based on a branching process using a Poisson-distributed number of new cases per day, similar to the model used for estimating R in 'EpiEstim' or in 'earlyR', and described by Nouvellet et al. (2017) <doi:10.1016/j.epidem.2017.02.012>. The package provides the S3 class 'projections' which extends 'matrix', with accessors and additional helpers for handling, subsetting, merging, or adding these objects, as well as dedicated printing and plotting methods.
Author: Thibaut Jombart [aut, cre], Pierre Nouvellet [aut], Sangeeta Bhatia [ctb], Zhian N. Kamvar [ctb], Tim Taylor [ctb], Stephane Ghozzi [ctb]
Maintainer: Thibaut Jombart <thibautjombart@gmail.com>

Diff between projections versions 0.5.2 dated 2020-12-17 and 0.5.4 dated 2021-04-22

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Package MonteCarloSEM updated to version 0.0.2 with previous version 0.0.1 dated 2020-09-22

Title: Monte Carlo Data Simulation Package
Description: Monte Carlo simulation allows to test different conditions given to the correct structural equation models. This package runs Monte Carlo simulations under different conditions (such as sample size or normality of data). Within the package data sets can be simulated and run based on the given model. First, continuous and normal data sets are generated based on the given model. Later Fleishman's power method (1978) <DOI:10.1007/BF02293811> is used to add non-normality if exists. When data generation is completed (or when generated data sets are given) model test can also be run.
Author: Fatih Orcan [aut, cre] (<https://orcid.org/0000-0003-1727-0456>)
Maintainer: Fatih Orcan <fatihorcan84@gmail.com>

Diff between MonteCarloSEM versions 0.0.1 dated 2020-09-22 and 0.0.2 dated 2021-04-22

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Package ggplotify updated to version 0.0.6 with previous version 0.0.5 dated 2020-03-12

Title: Convert Plot to 'grob' or 'ggplot' Object
Description: Convert plot function call (using expression or formula) to 'grob' or 'ggplot' object that compatible to the 'grid' and 'ggplot2' ecosystem. With this package, we are able to e.g. using 'cowplot' to align plots produced by 'base' graphics, 'ComplexHeatmap', 'eulerr', 'grid', 'lattice', 'magick', 'pheatmap', 'vcd' etc. by converting them to 'ggplot' objects.
Author: Guangchuang Yu [aut, cre] (<https://orcid.org/0000-0002-6485-8781>)
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>

Diff between ggplotify versions 0.0.5 dated 2020-03-12 and 0.0.6 dated 2021-04-22

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Package exams2sakai updated to version 0.3 with previous version 0.2 dated 2021-04-09

Title: Automatic Generation of Exams in R for 'Sakai'
Description: Automatic Generation of Exams in R for 'Sakai'. Question templates in the form of the 'exams' package (see <http://www.r-exams.org/>) are transformed into XML format required by 'Sakai'.
Author: Fuensanta Arnaldos García [aut], María Victoria Caballero Pintado [aut], Úrsula Faura Martínez [aut], María Teresa Díaz Delfa [aut], Jesús María Méndez Pérez [aut, cre], Lourdes Molera Peris [aut], José Antonio Palazón Ferrando [aut], Juan José Pérez Castejón [aut], Isabel Parra Frutos [aut], Raúl Sánchez Sánchez [aut], Nicolás Andrés Ubero Pascal [aut], Nikolaus Umlauf [ctb], Achim Zeileis [ctb] (<https://orcid.org/0000-0003-0918-3766>)
Maintainer: Jesús María Méndez Pérez <jesus.mendez@ticarum.es>

Diff between exams2sakai versions 0.2 dated 2021-04-09 and 0.3 dated 2021-04-22

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Package breathtestcore updated to version 0.8.1 with previous version 0.8.0 dated 2020-07-14

Title: Core Functions to Read and Fit 13c Time Series from Breath Tests
Description: Reads several formats of 13C data (IRIS/Wagner, BreathID) and CSV. Creates artificial sample data for testing. Fits Maes/Ghoos, Bluck-Coward self-correcting formula using 'nls', 'nlme'. Methods to fit breath test curves with Bayesian Stan methods are refactored to package 'breathteststan'. For a Shiny GUI, see package 'dmenne/breathtestshiny' on github.
Author: Dieter Menne [aut, cre], Menne Biomed Consulting Tuebingen [cph], Benjamin Misselwitz [fnd], Mark Fox [fnd], Andreas Steingoetter [dtc], University Hospital of Zurich, Dep. Gastroenterology [fnd, dtc]
Maintainer: Dieter Menne <dieter.menne@menne-biomed.de>

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Package box updated to version 1.0.2 with previous version 1.0.1 dated 2021-03-20

Title: Write Reusable, Composable and Modular R Code
Description: A modern module system for R. Organise code into hierarchical, composable, reusable modules, and use it effortlessly across projects via a flexible, declarative dependency loading syntax.
Author: Konrad Rudolph [aut, cre] (<https://orcid.org/0000-0002-9866-7051>), Michael Schubert [ctb] (<https://orcid.org/0000-0002-6862-5221>)
Maintainer: Konrad Rudolph <konrad.rudolph@gmail.com>

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 box-1.0.2/box/vignettes/compiled-code.rmd          |   13 ++
 box-1.0.2/box/vignettes/migration.rmd              |   39 ++++--
 box-1.0.2/box/vignettes/mod-env-hierarchy.rmd      |   13 ++
 box-1.0.2/box/vignettes/testing.rmd                |   31 +++--
 35 files changed, 528 insertions(+), 272 deletions(-)

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New package preferably with initial version 0.3.0
Package: preferably
Title: A 'pkgdown' Template
Version: 0.3.0
Authors@R: person(given = "Amir Masoud", family = "Abdol", role = c("aut", "cre"), email = "i@amirmasoudabdol.name")
Maintainer: Amir Masoud Abdol <i@amirmasoudabdol.name>
Description: This is an accessible template for 'pkgdown'. It uses two bootstrap themes, Flatly and Darkly and utilizes the 'prefers-color-scheme' CSS variable to automatically serve either of the two based on user’s operating system setting, or allowing them to manually toggle between them.
License: MIT + file LICENSE
URL: https://preferably.amirmasoudabdol.name
BugReports: https://github.com/amirmasoudabdol/preferably/issues
Depends: R (>= 3.4.0)
Imports: pkgdown, knitr, rmarkdown
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2021-04-19 07:49:37 UTC; amabdol
Author: Amir Masoud Abdol [aut, cre]
Repository: CRAN
Date/Publication: 2021-04-22 07:20:02 UTC

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New package penalizedclr with initial version 0.1.0
Package: penalizedclr
Title: Integrative Penalized Conditional Logistic Regression
Version: 0.1.0
Authors@R: c( person(given = "Vera", family = "Djordjilovi\'c", role = c("aut", "cre"), email = "vera.djordjilovic@unive.it", comment = c(ORCID = "https://orcid.org/0000-0002-7670-3111")), person(given = "Erica", family = "Ponzi", role = c("aut"), email = "erica.ponzi@medisin.uio.no"))
Description: Implements L1 and L2 penalized conditional logistic regression with penalty factors allowing for integration of multiple data sources. Implements stability selection for variable selection.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: penalized, survival, clogitL1, stats, tidyverse
Suggests: parallel, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-04-21 17:08:54 UTC; veradj
Author: Vera Djordjilovi'c [aut, cre] (<https://orcid.org/0000-0002-7670-3111>), Erica Ponzi [aut]
Maintainer: Vera Djordjilovi'c <vera.djordjilovic@unive.it>
Repository: CRAN
Date/Publication: 2021-04-22 07:30:02 UTC

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New package paleopop with initial version 2.1.0
Package: paleopop
Title: Pattern-Oriented Modeling Framework for Coupled Niche-Population Paleo-Climatic Models
Version: 2.1.0
Authors@R: c( person("Sean", "Haythorne", email = "sean.haythorne@adelaide.edu.au", role = c("aut")), person("Julia", "Pilowsky", email = "julia.pilowsky@adelaide.edu.au", role = c("aut", "cre"), comment = c(ORCID = "https://orcid.org/0000-0002-6376-2585")))
Maintainer: Julia Pilowsky <julia.pilowsky@adelaide.edu.au>
URL: https://github.com/GlobalEcologyLab/paleopop/
BugReports: https://github.com/GlobalEcologyLab/paleopop/issues
Description: This extension of the poems pattern-oriented modeling (POM) framework provides a collection of modules and functions customized for paleontological time-scales, and optimized for single-generation transitions and large populations, across multiple generations.
Depends: R (>= 3.6.0)
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Imports: poems (>= 1.0.0), R6 (>= 2.5.0), sf (>= 0.9)
Collate: data.R PaleoPopModel.R PaleoPopResults.R PaleoRegion.R paleopop_simulator.R paleopop.R region_subset.R
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, markdown, dplyr, raster
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-04-22 01:40:27 UTC; Julia Pilowsky
Author: Sean Haythorne [aut], Julia Pilowsky [aut, cre] (<https://orcid.org/0000-0002-6376-2585>)
Repository: CRAN
Date/Publication: 2021-04-22 07:30:06 UTC

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New package maclogp with initial version 0.1.1
Package: maclogp
Title: Measures of Uncertainty for Model Selection
Version: 0.1.1
Authors@R: c(person("Yuanyuan", "Li", role = c("aut", "cre"), email = "yynli9696@gmail.com"), person("Jiming", "Jiang", role = "ths"))
Maintainer: Yuanyuan Li <yynli9696@gmail.com>
Description: Following the common types of measures of uncertainty for parameter estimation, two measures of uncertainty were proposed for model selection, see Liu, Li and Jiang (2020) <doi:10.1007/s11749-020-00737-9>. The first measure is a kind of model confidence set that relates to the variation of model selection, called Mac. The second measure focuses on error of model selection, called LogP. They are all computed via bootstrapping. This package provides functions to compute these two measures. Furthermore, a similar model confidence set adapted from Bayesian Model Averaging can also be computed using this package.
License: GPL (>= 3)
URL: https://github.com/YuanyuanLi96/maclogp
BugReports: https://github.com/YuanyuanLi96/maclogp/issues
Encoding: UTF-8
LazyData: true
Imports: BMA, plot.matrix, rlist, utils
NeedsCompilation: no
Packaged: 2021-04-22 04:50:15 UTC; yuanyuanli
Depends: R (>= 3.5.0)
Author: Yuanyuan Li [aut, cre], Jiming Jiang [ths]
Repository: CRAN
Date/Publication: 2021-04-22 07:40:02 UTC

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New package iriR with initial version 0.2.2
Package: iriR
Title: Global Innovation Through Company Level Data
Version: 0.2.2
Authors@R: person(given = "Thierry", family = "Warin", role = c("aut", "cre"), email = "thierry.warin@hec.ca", comment = c(ORCID = "0000-0002-5921-3428"))
Description: Researchers and analysts have access to more than 7,500 innovative companies worldwide, which are or have been part of the top 1,000 innovative companies. They can access the six parameters that compose the global IRI Scoreboard's data on R&D: Country, Year, Company's name, Industry, Indicator and Company's rank. Please cite: Warin, Th. (2020) "iiriR: An R Package for the EU Industrial R&D Investment Scoreboard", <doi:10.6084/m9.figshare.11774640.v5>.
URL: https://github.com/warint/iriR/
Imports: gsheet, dplyr, reshape2, ggplot2, ggsci, WDI, scales, stats
License: MIT + file LICENSE
Encoding: UTF-8
VignetteBuilder: knitr
Suggests: rmarkdown, knitr
NeedsCompilation: no
Packaged: 2021-04-21 16:20:43 UTC; thierryw
Author: Thierry Warin [aut, cre] (<https://orcid.org/0000-0002-5921-3428>)
Maintainer: Thierry Warin <thierry.warin@hec.ca>
Repository: CRAN
Date/Publication: 2021-04-22 07:20:05 UTC

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Package genieclust updated to version 1.0.0 with previous version 0.9.8 dated 2021-01-08

Title: The Genie++ Hierarchical Clustering Algorithm with Noise Points Detection
Description: A retake on the Genie algorithm - a robust hierarchical clustering method (Gagolewski, Bartoszuk, Cena, 2016 <DOI:10.1016/j.ins.2016.05.003>). Now faster and more memory efficient; determining the whole hierarchy for datasets of 10M points in low dimensional Euclidean spaces or 100K points in high-dimensional ones takes only 1-2 minutes. Allows clustering with respect to mutual reachability distances so that it can act as a noise point detector or a robustified version of 'HDBSCAN*' (that is able to detect a predefined number of clusters and hence it does not dependent on the somewhat fragile 'eps' parameter). The package also features an implementation of economic inequity indices (the Gini, Bonferroni index) and external cluster validity measures (partition similarity scores; e.g., the adjusted Rand, Fowlkes-Mallows, adjusted mutual information, pair sets index). See also the 'Python' version of 'genieclust' available on 'PyPI', which supports sparse data, more metrics, and even larger datasets.
Author: Marek Gagolewski [aut, cre, cph] (<https://orcid.org/0000-0003-0637-6028>), Maciej Bartoszuk [ctb], Anna Cena [ctb], Peter M. Larsen [ctb]
Maintainer: Marek Gagolewski <marek@gagolewski.com>

Diff between genieclust versions 0.9.8 dated 2021-01-08 and 1.0.0 dated 2021-04-22

 DESCRIPTION                  |   12 +++----
 MD5                          |   51 ++++++++++++++++---------------
 NEWS                         |   41 +++++++++----------------
 R/RcppExports.R              |   18 ++++-------
 R/gclust.R                   |    2 -
 R/genieclust-package.R       |    2 -
 R/mst.R                      |   25 +++++++++++----
 inst                         |only
 man/comparing_partitions.Rd  |   14 ++++----
 man/emst_mlpack.Rd           |   12 +++++--
 man/gclust.Rd                |    2 -
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 src/c_argfuns.h              |    2 -
 src/c_compare_partitions.h   |    2 -
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 src/c_distance.h             |    2 -
 src/c_genie.h                |    2 -
 src/c_gini_disjoint_sets.h   |    2 -
 src/c_inequity.h             |    2 -
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 src/c_mst.h                  |    2 -
 src/c_postprocess.h          |    2 -
 src/c_preprocess.h           |    2 -
 src/r_compare_partitions.cpp |   14 ++++----
 src/r_emst.cpp               |   69 ++++++++++++++++++++++---------------------
 src/r_inequity.cpp           |    4 --
 27 files changed, 147 insertions(+), 157 deletions(-)

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New package exploratory with initial version 0.3.13
Package: exploratory
Title: A Tool for Large-Scale Exploratory Analyses
Version: 0.3.13
Authors@R: person(given = "Jin", family = "Kim", role = c("aut", "cre"), email = "jin.m.kim@yale.edu", comment = c(ORCID = "https://orcid.org/0000-0002-5013-3958"))
Description: Conduct numerous exploratory analyses in an instant with a point-and-click interface. With one simple command, this tool launches a Shiny App on the local machine. Drag and drop variables in a data set to categorize them as possible independent, dependent, moderating, or mediating variables. Then run dozens (or hundreds) of analyses instantly to uncover any statistically significant relationships among variables. Any relationship thus uncovered should be tested in follow-up studies. This tool is designed only to facilitate exploratory analyses and should NEVER be used for p-hacking. Many of the functions used in this package are direct copies of functions in the R Package 'kim' and 'ezr'. Selected References: Chang et al. (2021) <https://CRAN.R-project.org/package=shiny>. Chang et al. (2018) <https://CRAN.R-project.org/package=shinydashboard>. Cohen (1988) <doi:10.4324/9780203771587>. Dowle et al. (2021) <https://CRAN.R-project.org/package=data.table>. Ioannidis (2005) <doi:10.1371/journal.pmed.0020124> Kim (2021) <doi:10.5281/zenodo.4619237>. Kim (2020) <https://CRAN.R-project.org/package=ezr>. Simmons et al. (2011) <doi:10.1177/0956797611417632> Tingley et al. (2019) <https://CRAN.R-project.org/package=mediation>. Wickham et al. (2020) <https://CRAN.R-project.org/package=ggplot2>.
License: GPL-3
URL: https://exploratoryonly.com
BugReports: https://github.com/jinkim3/exploratory/issues
Imports: data.table, DT, ggplot2, ggridges, lemon, lm.beta, mediation, remotes, shiny, shinydashboard, weights
Suggests: moments
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2021-04-21 09:43:27 UTC; c
Author: Jin Kim [aut, cre] (<https://orcid.org/0000-0002-5013-3958>)
Maintainer: Jin Kim <jin.m.kim@yale.edu>
Repository: CRAN
Date/Publication: 2021-04-22 07:10:02 UTC

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New package epanet2toolkit with initial version 0.5.1
Package: epanet2toolkit
Title: Call 'EPANET' Functions to Simulate Pipe Networks
Version: 0.5.1
Date: 2021-04-21
Authors@R: c( person("Ernesto", "Arandia", email="earandia.ie@gmail.com", role='aut'), person("Bradley", "Eck", email="brad@bradeck.net", role = c('aut','cre')), person("Lew", "Rossman", role='aut'), person("Michael Tryby", role = 'ctb'), person("Sam","Hatchett", role = 'ctb'), person("Feng","Shang", role = 'ctb'), person("James","Uber", role = 'ctb'), person("Tom","Taxon", role = 'ctb'), person("Hyoungmin","Woo", role = 'ctb'), person("Jinduan","Chen", role = 'ctb'), person("Yunier","Soad", role = 'ctb'), person("Mike","Kane", role = 'ctb'), person("Demetrios","Eliades", role = 'ctb'), person("Will","Furnass", role = 'ctb'), person("Steffen","Macke", role = 'ctb'), person("Marios", "Kyriakou", role = 'ctb'), person("Elad","Salomons", role = 'ctb'), person("Maurizio","Cingi", role = 'ctb'), person("Bryant","McDonnell", role = 'ctb'), person("Angela","Marchi",role='ctb'), person("Markus","Sunela",role='ctb'), person("Milad","Ghiami",role='ctb'), person("IBM Corp.", role = 'cph'), person("Open Water Analytics", role = 'cph') )
Maintainer: Bradley Eck <brad@bradeck.net>
Suggests: testthat, epanetReader
Description: Enables simulation of water piping networks using 'EPANET'. The package provides functions from the 'EPANET' programmer's toolkit as R functions so that basic or customized simulations can be carried out from R. The package uses 'EPANET' version 2.2 from Open Water Analytics <https://github.com/OpenWaterAnalytics/EPANET/releases/tag/v2.2>.
License: MIT + file LICENSE
Copyright: COPYRIGHTS
URL: https://github.com/bradleyjeck/epanet2toolkit
NeedsCompilation: yes
Packaged: 2021-04-21 20:52:49 UTC; brad
Author: Ernesto Arandia [aut], Bradley Eck [aut, cre], Lew Rossman [aut], Michael Tryby [ctb], Sam Hatchett [ctb], Feng Shang [ctb], James Uber [ctb], Tom Taxon [ctb], Hyoungmin Woo [ctb], Jinduan Chen [ctb], Yunier Soad [ctb], Mike Kane [ctb], Demetrios Eliades [ctb], Will Furnass [ctb], Steffen Macke [ctb], Marios Kyriakou [ctb], Elad Salomons [ctb], Maurizio Cingi [ctb], Bryant McDonnell [ctb], Angela Marchi [ctb], Markus Sunela [ctb], Milad Ghiami [ctb], IBM Corp. [cph], Open Water Analytics [cph]
Repository: CRAN
Date/Publication: 2021-04-22 07:10:05 UTC

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New package dsims with initial version 0.1.1
Package: dsims
Depends: dssd (>= 0.2.2)
Imports: mrds, Distance, sf, sp, ggplot2, mgcv, rgeos, methods, rstudioapi, gridExtra, rlang
Suggests: testthat, parallel, pbapply, knitr, lwgeom, rmarkdown
VignetteBuilder: knitr
Title: Distance Sampling Simulations
Version: 0.1.1
Author: Laura Marshall <lhm@st-and.ac.uk>
Maintainer: Laura Marshall <lhm@st-and.ac.uk>
Description: Performs distance sampling simulations. 'dsims' repeatedly generates instances of a user defined population within a given survey region. It then generates realisations of a survey design and simulates the detection process. The data are then analysed so that the results can be compared for accuracy and precision across all replications. This process allows users to optimise survey designs for their specific set of survey conditions. The effects of uncertainty in population distribution or parameters can be investigated under a number of simulations so that users can be confident that they have achieved a robust survey design before deploying vessels into the field. The distance sampling designs used in this package from 'dssd' are detailed in Chapter 7 of Advanced Distance Sampling, Buckland et. al. (2008, ISBN-13: 978-0199225873). General distance sampling methods are detailed in Introduction to Distance Sampling: Estimating Abundance of Biological Populations, Buckland et. al. (2004, ISBN-13: 978-0198509271). Find out more about estimating animal/plant abundance with distance sampling at <http://distancesampling.org/>.
License: GPL (>= 2)
Language: en-GB
URL: https://github.com/DistanceDevelopment/dsims
BugReports: https://github.com/DistanceDevelopment/dsims/issues
Encoding: UTF-8
Collate: 'AICc.R' 'generic.functions.R' 'Density.Summary.R' 'Density.R' 'Population.Description.R' 'Detectability.R' 'Population.R' 'Survey.R' 'DS.Analysis.R' 'Simulation.R' 'ClassConstructors.R' 'Simulation.Summary.R' 'Survey.LT.R' 'Survey.PT.R' 'accumulate.PP.results.R' 'accumulate.warnings.R' 'add.covariate.values.R' 'add.summary.results.R' 'calc.perp.dists.R' 'calc.rad.dists.R' 'calculate.scale.param.R' 'check.covariates.R' 'check.transects.R' 'create.results.arrays.R' 'description.summary.R' 'dsims-package.R' 'generate.pop.D.R' 'generate.pop.N.R' 'get.density.surface.R' 'message.handler.R' 'modify.strata.for.analysis.R' 'rtpois.R' 'run.simulation.R' 'simulate.detections.R' 'single.sim.loop.R' 'store.ddf.results.R' 'store.dht.results.R'
NeedsCompilation: no
Packaged: 2021-04-21 10:05:22 UTC; lhm
Repository: CRAN
Date/Publication: 2021-04-22 07:20:11 UTC

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New package dimensio with initial version 0.2.0
Package: dimensio
Title: Multivariate Data Analysis
Version: 0.2.0
Authors@R: c(person(given = "Nicolas", family = "Frerebeau", role = c("aut", "cre"), email = "nicolas.frerebeau@u-bordeaux-montaigne.fr", comment = c(ORCID = "0000-0001-5759-4944")), person(given = "Jean-Baptiste", family = "Fourvel", role = "ctb", email = "fourvel@mmsh.univ-aix.fr", comment = c(ORCID = "0000-0002-1061-4642")), person(given = "Brice", family = "Lebrun", role = "ctb", email = "brice.lebrun@u-bordeaux-montaigne.fr", comment = c(ORCID = "0000-0001-7503-8685")))
Maintainer: Nicolas Frerebeau <nicolas.frerebeau@u-bordeaux-montaigne.fr>
Description: Simple Principal Components Analysis (PCA) and Correspondence Analysis (CA) based on the Singular Value Decomposition (SVD). This package provides S4 classes and methods to compute, extract, summarize and visualize results of multivariate data analysis. It also includes methods for partial bootstrap validation described in Greenacre (1984) <isbn: 978-0-12-299050-2> and Lebart et al. (2006) <isbn: 978-2-10-049616-7>.
License: GPL (>= 3)
URL: https://dimensio.tesselle.org, https://github.com/tesselle/dimensio
BugReports: https://github.com/tesselle/dimensio/issues
Depends: R (>= 3.3)
Imports: ggplot2, methods, rlang
Suggests: folio, FactoMineR, ggrepel, khroma, testthat (>= 3.0.0), vdiffr
Encoding: UTF-8
Collate: 'AllClasses.R' 'AllGenerics.R' 'bootstrap.R' 'ca.R' 'dimensio-package.R' 'helpers.R' 'joint.R' 'mutators.R' 'pca.R' 'plot.R' 'show.R' 'subset.R' 'summary.R' 'zzz.R'
NeedsCompilation: no
Packaged: 2021-04-21 09:39:06 UTC; nicolas
Author: Nicolas Frerebeau [aut, cre] (<https://orcid.org/0000-0001-5759-4944>), Jean-Baptiste Fourvel [ctb] (<https://orcid.org/0000-0002-1061-4642>), Brice Lebrun [ctb] (<https://orcid.org/0000-0001-7503-8685>)
Repository: CRAN
Date/Publication: 2021-04-22 07:10:09 UTC

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New package critpath with initial version 0.1.2
Package: critpath
Title: Setting the Critical Path
Version: 0.1.2
Author: Adam Kucharski
Maintainer: Adam Kucharski <aqcharski@interia.pl>
Description: Solving the problem of project management using CPM (Critical Path Method), PERT (Program Evaluation and Review Technique) and LESS (Least Cost Estimating and Scheduling) methods. The package sets the critical path, schedule and Gantt chart. In addition, it allows you to draw a graph with marked critical activities. For more information about project management, see: Taha H. A. (2017, ISBN:978-1-292-16554-7), Konarzewska I., Jewczak M., Kucharski A. (2020, ISBN:978-83-8220-112-3), Rama Murthy P. (2007, ISBN:978-81-224-2944-2).
License: GPL-2
Encoding: UTF-8
LazyData: true
Imports: DiagrammeR, ggplot2, reshape2
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Depends: R (>= 4.0.0)
Date: 2021-04-21
NeedsCompilation: no
Packaged: 2021-04-22 05:43:52 UTC; adamk
Repository: CRAN
Date/Publication: 2021-04-22 07:50:02 UTC

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New package biokNN with initial version 0.1.0
Package: biokNN
Title: Bi-Objective k-Nearest Neighbors Imputation for Multilevel Data
Version: 0.1.0
Depends: R (>= 2.10)
Authors@R: c(person("Maximiliano Cubillos", role = c("aut", "cre"), email = "mcub@econ.au.dk", comment = c(ORCID = "0000-0002-2826-9728")))
Maintainer: Maximiliano Cubillos <mcub@econ.au.dk>
Description: The bi-objective k-nearest neighbors method (biokNN) is an imputation method designed to estimate missing values on data with a multilevel structure. The original algorithm is an extension of the k-nearest neighbors method proposed by Bertsimas et al. (2017) (<https://jmlr.org/papers/v18/17-073.html>) using a bi-objective approach. A brief description of the method can be found in Cubillos (2021) (<https://pure.au.dk/portal/files/214627979/biokNN.pdf>). The 'biokNN' package provides an R implementation of the method for datasets with continuous variables (e.g. employee productivity, student grades) and a categorical class variable (e.g. department, school). Given an incomplete dataset with such structure, this package produces complete datasets using both single and multiple imputation, including visualization tools to better understand the pattern of the missing values.
License: GPL (>= 2)
URL: https://github.com/mcubillos3/biokNN
BugReports: https://github.com/mcubillos3/biokNN/issues
Suggests: knitr, rmarkdown, testthat
Encoding: UTF-8
LazyData: true
Imports: dplyr, cluster, mice, stats, magrittr, ggplot2, tidyr, desc, lme4, mitml
NeedsCompilation: no
Packaged: 2021-04-14 14:10:46 UTC; au629204
Author: Maximiliano Cubillos [aut, cre] (<https://orcid.org/0000-0002-2826-9728>)
Repository: CRAN
Date/Publication: 2021-04-22 07:20:15 UTC

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Package sparta updated to version 0.7.3 with previous version 0.7.2 dated 2021-04-03

Title: Sparse Tables
Description: Fast Multiplication and Marginalization of Sparse Tables.
Author: Mads Lindskou [aut, cre]
Maintainer: Mads Lindskou <mads@math.aau.dk>

Diff between sparta versions 0.7.2 dated 2021-04-03 and 0.7.3 dated 2021-04-22

 DESCRIPTION    |   10 +++++-----
 MD5            |    8 ++++----
 NEWS.md        |    4 ++++
 R/api_sparta.R |    2 +-
 README.md      |    2 +-
 5 files changed, 15 insertions(+), 11 deletions(-)

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Package runner updated to version 0.4.0 with previous version 0.3.8 dated 2021-02-22

Title: Running Operations for Vectors
Description: Lightweight library for rolling windows operations. Package enables full control over the window length, window lag and a time indices. With a runner one can apply any R function on a rolling windows. The package eases work with equally and unequally spaced time series.
Author: Dawid Kałędkowski [aut, cre] (<https://orcid.org/0000-0001-9533-457X>)
Maintainer: Dawid Kałędkowski <dawid.kaledkowski@gmail.com>

Diff between runner versions 0.3.8 dated 2021-02-22 and 0.4.0 dated 2021-04-22

 DESCRIPTION                        |    6 
 MD5                                |   28 +--
 NEWS.md                            |    8 -
 R/run.R                            |   78 +++-------
 build/vignette.rds                 |binary
 inst/doc/apply_any_r_function.html |    4 
 inst/tinytest/test_max_run.R       |   26 +--
 inst/tinytest/test_mean_run.R      |   10 -
 inst/tinytest/test_min_run.R       |   23 +--
 inst/tinytest/test_runner.R        |  264 +++++++++++++------------------------
 inst/tinytest/test_runner_vec.R    |  109 +++++++++------
 inst/tinytest/test_streak_run.R    |   13 -
 inst/tinytest/test_sum_run.R       |   24 +--
 man/runner.Rd                      |   35 ++--
 src/vector_funs.h                  |    8 -
 15 files changed, 271 insertions(+), 365 deletions(-)

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Package plethem (with last version 1.1.0) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2020-11-04 1.1.0

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Package httk (with last version 2.0.3) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2020-09-25 2.0.3
2020-07-19 2.0.2
2020-03-02 2.0.1
2020-02-17 2.0.0
2019-09-10 1.10.1
2019-07-11 1.10.0
2019-04-25 1.9.2
2019-04-17 1.9.1
2019-02-04 1.9
2018-01-23 1.8
2017-07-15 1.7
2017-06-08 1.6
2017-03-03 1.5
2016-02-02 1.4
2015-10-14 1.3
2015-05-11 1.2
2015-03-06 1.1

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Package SeqNet (with last version 1.1.0) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2019-12-18 1.1.0
2019-06-24 1.0.0

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Package DUBStepR updated to version 1.1.1 with previous version 1.1 dated 2021-03-15

Title: Correlation-Based Feature Selection for Single-Cell RNA Sequencing Data
Description: Determining the optimal set of feature genes to characterise cell types in single-cell RNA sequencing data using stepwise regression on gene-gene correlations. <doi:10.1101/2020.10.07.330563>.
Author: Bobby Ranjan [aut, cre], Kunal Mishra [ctb], Shyam Lab [cph], Bryan Hanson [ctb], Damian Coventry [ctb], Brandon Crosby [ctb], Gregoire Thomas [ctb]
Maintainer: Bobby Ranjan <ranjan_bobby@gis.a-star.edu.sg>

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Package BeSS updated to version 2.0.3 with previous version 2.0.2 dated 2021-01-23

Title: Best Subset Selection in Linear, Logistic and CoxPH Models
Description: An implementation of best subset selection in generalized linear model and Cox proportional hazard model via the primal dual active set algorithm proposed by Wen, C., Zhang, A., Quan, S. and Wang, X. (2020) <doi:10.18637/jss.v094.i04>. The algorithm formulates coefficient parameters and residuals as primal and dual variables and utilizes efficient active set selection strategies based on the complementarity of the primal and dual variables.
Author: Canhong Wen [aut, cre], Aijun Zhang [aut], Shijie Quan [aut], Xueqin Wang [aut]
Maintainer: Canhong Wen <wencanhong@gmail.com>

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Package wru updated to version 0.1-11 with previous version 0.1-10 dated 2020-10-22

Title: Who are You? Bayesian Prediction of Racial Category Using Surname and Geolocation
Description: Predicts individual race/ethnicity using surname, geolocation, and other attributes, such as gender and age. The method utilizes the Bayes' Rule to compute the posterior probability of each racial category for any given individual. The package implements methods described in Imai and Khanna (2015) "Improving Ecological Inference by Predicting Individual Ethnicity from Voter Registration Records" <DOI:10.1093/pan/mpw001>.
Author: Kabir Khanna [aut, cre], Kosuke Imai [aut]
Maintainer: Kabir Khanna <kabirkhanna@gmail.com>

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Package tzdb updated to version 0.1.1 with previous version 0.1.0 dated 2021-03-04

Title: Time Zone Database Information
Description: Provides an up-to-date copy of the Internet Assigned Numbers Authority (IANA) Time Zone Database. It is updated periodically to reflect changes made by political bodies to time zone boundaries, UTC offsets, and daylight saving time rules. Additionally, this package provides a C++ interface for working with the 'date' library. 'date' provides comprehensive support for working with dates and date-times, which this package exposes to make it easier for other R packages to utilize. Headers are provided for calendar specific calculations, along with a limited interface for time zone manipulations.
Author: Davis Vaughan [aut, cre], Howard Hinnant [cph] (Author of the included date library), RStudio [cph, fnd]
Maintainer: Davis Vaughan <davis@rstudio.com>

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Package rsolr updated to version 0.0.11 with previous version 0.0.10 dated 2020-10-12

Title: R to Solr Interface
Description: A comprehensive R API for querying Apache Solr databases. A Solr core is represented as a data frame or list that supports Solr-side filtering, sorting, transformation and aggregation, all through the familiar base R API. Queries are processed lazily, i.e., a query is only sent to the database when the data are required.
Author: Michael Lawrence, Gabe Becker, Jan Vogel
Maintainer: Michael Lawrence <michafla@gene.com>

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Package POFIBGE updated to version 0.1.1 with previous version 0.1.0 dated 2020-12-16

Title: Downloading, Reading and Analysing POF Microdata
Description: Provides tools for downloading, reading and analysing the POF, a household survey from Brazilian Institute of Geography and Statistics - IBGE. The data must be downloaded from the official website <https://www.ibge.gov.br/>. Further analysis must be made using package 'survey'.
Author: Gabriel Assuncao [aut, cre], Luna Hidalgo [aut], Douglas Braga [ctb]
Maintainer: Gabriel Assuncao <pacotesipd@ibge.gov.br>

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Package PNADcIBGE updated to version 0.6.3 with previous version 0.6.2 dated 2021-01-26

Title: Downloading, Reading and Analysing PNADC Microdata
Description: Provides tools for downloading, reading and analysing the PNADC, a household survey from Brazilian Institute of Geography and Statistics - IBGE. The data must be downloaded from the official website <https://www.ibge.gov.br/>. Further analysis must be made using package 'survey'.
Author: Douglas Braga [aut], Gabriel Assuncao [aut, cre], Luna Hidalgo [ctb]
Maintainer: Gabriel Assuncao <pacotesipd@ibge.gov.br>

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Package pcalg updated to version 2.7-2 with previous version 2.7-1 dated 2021-01-09

Title: Methods for Graphical Models and Causal Inference
Description: Functions for causal structure learning and causal inference using graphical models. The main algorithms for causal structure learning are PC (for observational data without hidden variables), FCI and RFCI (for observational data with hidden variables), and GIES (for a mix of data from observational studies (i.e. observational data) and data from experiments involving interventions (i.e. interventional data) without hidden variables). For causal inference the IDA algorithm, the Generalized Backdoor Criterion (GBC), the Generalized Adjustment Criterion (GAC) and some related functions are implemented. Functions for incorporating background knowledge are provided.
Author: Markus Kalisch [aut, cre], Alain Hauser [aut], Martin Maechler [aut], Diego Colombo [ctb], Doris Entner [ctb], Patrik Hoyer [ctb], Antti Hyttinen [ctb], Jonas Peters [ctb], Nicoletta Andri [ctb], Emilija Perkovic [ctb], Preetam Nandy [ctb], Philipp Ruetimann [ctb], Daniel Stekhoven [ctb], Manuel Schuerch [ctb], Marco Eigenmann [ctb], Leonard Henckel [ctb], Joris Mooij [ctb]
Maintainer: Markus Kalisch <kalisch@stat.math.ethz.ch>

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Package Eagle updated to version 2.4.4 with previous version 2.4.3 dated 2021-01-12

Title: Multiple Locus Association Mapping on a Genome-Wide Scale
Description: An implementation of multiple-locus association mapping on a genome-wide scale. 'Eagle' can handle inbred and outbred study populations, populations of arbitrary unknown complexity, and data larger than the memory capacity of the computer. Since 'Eagle' is based on linear mixed models, it is best suited to the analysis of data on continuous traits. However, it can tolerate non-normal data. 'Eagle' reports, as its findings, the best set of snp in strongest association with a trait. For users unfamiliar with R, to perform an analysis, run 'OpenGUI()'. This opens a web browser to the menu-driven user interface for the input of data, and for performing genome-wide analysis.
Author: Andrew George [aut, cre], Joshua Bowden [ctb], Ryan Stephenson [ctb], Hyun Kang [ctb], Noah Zaitlen [ctb], Claire Wade [ctb], Andrew Kirby [ctb], David Heckerman [ctb], Mark Daly [ctb], Eleazar Eskin [ctb]
Maintainer: Andrew George <andrew.george@csiro.au>

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Package drat updated to version 0.2.0 with previous version 0.1.8 dated 2020-07-18

Title: 'Drat' R Archive Template
Description: Creation and use of R Repositories via helper functions to insert packages into a repository, and to add repository information to the current R session. Two primary types of repositories are support: gh-pages at GitHub, as well as local repositories on either the same machine or a local network. Drat is a recursive acronym: Drat R Archive Template.
Author: Dirk Eddelbuettel with contributions by Carl Boettiger, Neal Fultz, Sebastian Gibb, Colin Gillespie, Jan Górecki, Matt Jones, Thomas Leeper, Steven Pav, Jan Schulz, Christoph Stepper, Felix G.M. Ernst and Patrick Schratz.
Maintainer: Dirk Eddelbuettel <edd@debian.org>

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Package dbscan updated to version 1.1-7 with previous version 1.1-6 dated 2021-02-26

Title: Density Based Clustering of Applications with Noise (DBSCAN) and Related Algorithms
Description: A fast reimplementation of several density-based algorithms of the DBSCAN family for spatial data. Includes the clustering algorithms DBSCAN (density-based spatial clustering of applications with noise) and HDBSCAN (hierarchical DBSCAN), the ordering algorithm OPTICS (ordering points to identify the clustering structure), and the outlier detection algorithm LOF (local outlier factor). The implementations use the kd-tree data structure (from library ANN) for faster k-nearest neighbor search. An R interface to fast kNN and fixed-radius NN search is also provided. Hahsler, Piekenbrock and Doran (2019) <doi:10.18637/jss.v091.i01>.
Author: Michael Hahsler [aut, cre, cph], Matthew Piekenbrock [aut, cph], Sunil Arya [ctb, cph], David Mount [ctb, cph]
Maintainer: Michael Hahsler <mhahsler@lyle.smu.edu>

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Package COVIDIBGE updated to version 0.1.3 with previous version 0.1.2 dated 2021-01-31

Title: Downloading, Reading and Analysing PNAD COVID19 Microdata
Description: Provides tools for downloading, reading and analysing the PNAD COVID19, a household survey from Brazilian Institute of Geography and Statistics - IBGE. The data must be downloaded from the official website <https://www.ibge.gov.br/>. Further analysis must be made using package 'survey'.
Author: Gabriel Assuncao [aut, cre], Luna Hidalgo [aut], Douglas Braga [ctb]
Maintainer: Gabriel Assuncao <pacotesipd@ibge.gov.br>

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Wed, 21 Apr 2021

Package cholera updated to version 0.7.5 with previous version 0.7.0 dated 2019-08-28

Title: Amend, Augment and Aid Analysis of John Snow's Cholera Map
Description: Amends errors, augments data and aids analysis of John Snow's map of the 1854 London cholera outbreak.
Author: Peter Li [aut, cre]
Maintainer: Peter Li <lindbrook@gmail.com>

Diff between cholera versions 0.7.0 dated 2019-08-28 and 0.7.5 dated 2021-04-21

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Package SIPDIBGE updated to version 0.1.2 with previous version 0.1.1 dated 2021-01-29

Title: Collection of Household Survey Packages Conducted by IBGE
Description: Provides access to packages developed for downloading, reading and analysing microdata from household surveys conducted by Brazilian Institute of Geography and Statistics - IBGE. More information can be obtained from the official website <https://www.ibge.gov.br/>.
Author: Gabriel Assuncao [aut, cre], Luna Hidalgo [aut], Douglas Braga [ctb]
Maintainer: Gabriel Assuncao <pacotesipd@ibge.gov.br>

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Package NetSimR updated to version 0.1.1 with previous version 0.1.0 dated 2019-08-20

Title: Actuarial Functions for Non-Life Insurance Modelling
Description: Assists actuaries and other insurance modellers in pricing, reserving and capital modelling for non-life insurance and reinsurance modelling. Provides functions that help model excess levels, capping and pure Incurred but not reported claims (pure IBNR). Includes capped mean, exposure curves and increased limit factor curves (ILFs) for LogNormal, Gamma, Pareto, Sliced LogNormal-Pareto and Sliced Gamma-Pareto distributions. Includes mean, probability density function (pdf), cumulative probability function (cdf) and inverse cumulative probability function for Sliced LogNormal-Pareto and Sliced Gamma-Pareto distributions. Includes calculating pure IBNR exposure with LogNormal and Gamma distribution for reporting delay.
Author: Yiannis Parizas [aut, cre]
Maintainer: Yiannis Parizas <yiannis.parizas@gmail.com>

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Package trelloR updated to version 0.7.1 with previous version 0.7.0 dated 2021-01-28

Title: Access the Trello API
Description: An R client for the Trello API. Supports free-tier features such as access to private boards, creating and updating cards and other resources, and downloading data in a structured way.
Author: Jakub Chromec [aut, cre]
Maintainer: Jakub Chromec <chromec.jakub@gmail.com>

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Package nlraa updated to version 0.89 with previous version 0.83 dated 2021-01-05

Title: Nonlinear Regression for Agricultural Applications
Description: Additional nonlinear regression functions using self-start (SS) algorithms. One of the functions is the Beta growth function proposed by Yin et al. (2003) <doi:10.1093/aob/mcg029>. There are several other functions with breakpoints (e.g. linear-plateau, plateau-linear, exponential-plateau, plateau-exponential, quadratic-plateau, plateau-quadratic and bilinear), a non-rectangular hyperbola and a bell-shaped curve. Twenty one (21) new self-start (SS) functions in total. This package also supports the publication 'Nonlinear regression Models and applications in agricultural research' by Archontoulis and Miguez (2015) <doi:10.2134/agronj2012.0506>, a book chapter with similar material <doi:10.2134/appliedstatistics.2016.0003.c15> and a publication by Oddi et. al. (2019) in Ecology and Evolution <doi:10.1002/ece3.5543>. The function 'nlsLMList' uses 'nlsLM' for fitting, but it is otherwise almost identical to 'nlme::nlsList'.In addition, this release of the package provides functions for conducting simulations for 'nlme' and 'gnls' objects as well as bootstrapping. These functions are intended to work with the modeling framework of the 'nlme' package. It also provides four vignettes with extended examples.
Author: Fernando Miguez [aut, cre] (<https://orcid.org/0000-0002-4627-8329>), José Pinheiro [ctb, cph] (author of nlme::nlsList, nlme::predict.gnls, nlme::predict.nlme), Douglas Bates [ctb, cph] (author of nlme::nlsList, nlme::predict.gnls, nlme::predict.nlme), R-core [ctb, cph]
Maintainer: Fernando Miguez <femiguez@iastate.edu>

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Package midasml updated to version 0.1.2 with previous version 0.1.0 dated 2021-04-14

Title: Estimation and Prediction Methods for High-Dimensional Mixed Frequency Time Series Data
Description: The 'midasml' package implements estimation and prediction methods for high-dimensional mixed-frequency (MIDAS) time-series and panel data regression models. The regularized MIDAS models are estimated using orthogonal (e.g. Legendre) polynomials and sparse-group LASSO (sg-LASSO) estimator. For more information on the `midasml' approach see Babii, Ghysels, and Striaukas (2021, JBES forthcoming) <doi:10.1080/07350015.2021.1899933>. The package is equipped with the fast implementation of the sg-LASSO estimator by means of proximal block coordinate descent. High-dimensional mixed frequency time-series data can also be easily manipulated with functions provided in the package.
Author: Jonas Striaukas [cre, aut], Andrii Babii [aut], Eric Ghysels [aut], Alex Kostrov [ctb] (Contributions to analytical gradients for non-linear low-dimensional MIDAS estimation code)
Maintainer: Jonas Striaukas <jonas.striaukas@gmail.com>

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Package synoptReg updated to version 1.2.1 with previous version 1.2.0 dated 2021-04-20

Title: Synoptic Climate Classification and Spatial Regionalization of Environmental Data
Description: Set of functions to compute different types of synoptic classification methods and for analysing their effect on environmental variables. More information about the methods used in Lemus-Canovas et al. 2019 <DOI:10.1016/j.atmosres.2019.01.018>, Martin-Vide et al. 2008 <DOI:10.5194/asr-2-99-2008>, Jenkinson and Collison 1977.
Author: Marc Lemus-Canovas [aut, cre] (<https://orcid.org/0000-0002-0925-3827>), Dominic Roye [ctb] (<https://orcid.org/0000-0002-5516-6396>)
Maintainer: Marc Lemus-Canovas <mlemus@ub.edu>

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Package superb updated to version 0.9.5.0 with previous version 0.9.4.2 dated 2021-03-20

Title: Get Precision of Means Under Various Designs and Sampling Schemes
Description: Computes standard error and confidence interval of various descriptive statistics under various designs and sampling schemes. The main function, superbPlot(), can either return a plot or a dataframe with the statistic and its precision interval so that other plotting package can be used. See Cousineau (2017) <doi:10.5709/acp-0214-z> for a review or Cousineau (2005) <doi:10.20982/tqmp.01.1.p042>, Morey (2008) <doi:10.20982/tqmp.04.2.p061>, Baguley (2012) <doi:10.3758/s13428-011-0123-7>, Cousineau & Laurencelle (2016) <doi:10.1037/met0000055>, Cousineau & O'Brien (2014) <doi:10.3758/s13428-013-0441-z>, Calderini & Harding <doi:10.20982/tqmp.15.1.p001>.
Author: Denis Cousineau [aut, cre], Bradley Harding [ctb], Marc-Andre Goulet [ctb], Jesika Walker [art]
Maintainer: Denis Cousineau <denis.cousineau@uottawa.ca>

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Package RiskPortfolios updated to version 2.1.5 with previous version 2.1.4 dated 2020-04-20

Title: Computation of Risk-Based Portfolios
Description: Collection of functions designed to compute risk-based portfolios as described in Ardia et al. (2017) <doi:10.1007/s10479-017-2474-7> and Ardia et al. (2017) <doi:10.21105/joss.00171>.
Author: David Ardia [aut, cre, cph] (<https://orcid.org/0000-0003-2823-782X>), Kris Boudt [aut], Jean-Philippe Gagnon-Fleury [aut]
Maintainer: David Ardia <david.ardia.ch@gmail.com>

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Package stevedata updated to version 0.4.0 with previous version 0.3.1 dated 2021-04-07

Title: Steve's Toy Data for Teaching About a Variety of Methodological, Social, and Political Topics
Description: This is a collection of various kinds of data with broad uses for teaching. My students, and academics like me who teach the same topics I teach, should find this useful if their teaching workflow is also built around the R programming language. The applications are multiple but mostly cluster on topics of statistical methodology, international relations, and political economy.
Author: Steve Miller [aut, cre] (<https://orcid.org/0000-0003-4072-6263>)
Maintainer: Steve Miller <steven.v.miller@gmail.com>

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Package gpboost updated to version 0.6.0 with previous version 0.5.0 dated 2021-03-12

Title: Combining Tree-Boosting with Gaussian Process and Mixed Effects Models
Description: An R package that allows for combining tree-boosting with Gaussian process and mixed effects models. It also allows for independently doing tree-boosting as well as inference and prediction for Gaussian process and mixed effects models. See <https://github.com/fabsig/GPBoost> for more information on the software and Sigrist (2020) <arXiv:2004.02653> for more information on the methodology.
Author: Fabio Sigrist [aut, cre], Benoit Jacob [cph], Gael Guennebaud [cph], Nicolas Carre [cph], Pierre Zoppitelli [cph], Gauthier Brun [cph], Jean Ceccato [cph], Jitse Niesen [cph], Other authors of Eigen for the included version of Eigen [ctb, cph], Timothy A. Davis [cph], Guolin Ke [ctb], Damien Soukhavong [ctb], James Lamb [ctb], Other authors of LightGBM for the included version of LightGBM [ctb], Microsoft Corporation [cph], Dropbox, Inc. [cph], Jay Loden [cph], Dave Daeschler [cph], Giampaolo Rodola [cph], Alberto Ferreira [ctb], Daniel Lemire [ctb], Victor Zverovich [cph], IBM Corporation [ctb], Keith O'Hara [cph]
Maintainer: Fabio Sigrist <fabiosigrist@gmail.com>

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New package ptspotter with initial version 1.0
Package: ptspotter
Title: Helper Functions for Use with "ProjectTemplate"
Version: 1.0
Authors@R: c(person(given = "Rich", family = "Leyshon", role = c("aut", "cph", "cre"), email = "leyshonrr@hotmail.co.uk"), person(given = "Andrew", family = "Simmons", role = "ctb", email = "akwsimmo@gmail.com"))
Description: Utility functions produced specifically for (but not limited to) working with 'ProjectTemplate' data pipelines. This package helps to quickly create and manage sequentially numbered scripts, quickly set up logging with 'log4r' and functions to help debug and monitor procedures.
License: MIT + file LICENSE
URL: https://github.com/r-leyshon/ptspotter
BugReports: https://github.com/r-leyshon/ptspotter/issues
Encoding: UTF-8
Depends: this.path(>= 0.2.0), log4r (>= 0.3.2), beepr(>= 1.3)
Imports: pryr (>= 0.1.4), stringi (>= 1.5.3), stringr (>= 1.4.0), utils (>= 4.0.4)
Suggests: ProjectTemplate (>= 0.9.3), testthat
NeedsCompilation: no
Packaged: 2021-04-21 07:34:08 UTC; richardleyshon
Author: Rich Leyshon [aut, cph, cre], Andrew Simmons [ctb]
Maintainer: Rich Leyshon <leyshonrr@hotmail.co.uk>
Repository: CRAN
Date/Publication: 2021-04-21 12:00:02 UTC

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Package inferference updated to version 1.0.2 with previous version 1.0.0 dated 2017-11-24

Title: Methods for Causal Inference with Interference
Description: Provides methods for estimating causal effects in the presence of interference described in B. Saul and M. Hugdens (2017) <doi:10.18637/jss.v082.i02>. Currently it implements the inverse-probability weighted (IPW) estimators proposed by E.J. Tchetgen Tchetgen and T.J. Vanderweele (2012) <doi:10.1177/0962280210386779>.
Author: Bradley Saul
Maintainer: Bradley Saul <bradleysaul@gmail.com>

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New package abess with initial version 0.1.0
Package: abess
Title: Adaptive Best Subset Selection in Polynomial Time
Version: 0.1.0
Date: 2021-04-21
Authors@R: c( person(given = "Jin", family = "Zhu", email = "zhuj37@mail2.sysu.edu.cn", role = c("aut", "cre"), comment = c(ORCID = "0000-0001-8550-5822")), person(given = "Kangkang", family = "Jiang", email = "jiangkk3@mail2.sysu.edu.cn", role = c("aut")), person(given = "Yanhang", family = "Zhang", email = "zhangyh98@ruc.edu.cn", role = c("aut")), person(given = "Liyuan", family = "Hu", email = "huly5@mail2.sysu.edu.cn", role = c("aut")), person(given = "Junxian", family = "Zhu", email = "zhujunx@mail2.sysu.edu.cn", role = c("aut")), person(given = "Canhong", family = "Wen", email = "wencanhong@gmail.com", role = c("aut")), person(given = "Heping", family = "Zhang", email = "heping.zhang@yale.edu", role = c("aut"), comment = c(ORCID = "0000-0002-0688-4076")), person(given = "Xueqin", family = "Wang", email = "wangxq20@ustc.edu.cn", role = c("aut"), comment = c(ORCID = "0000-0001-5205-9950")) )
Maintainer: Jin Zhu <zhuj37@mail2.sysu.edu.cn>
Description: Extremely efficient toolkit for solving the best subset selection problem in linear regression, logistic regression, Poisson regression, Cox proportional hazard model, multiple-response Gaussian, and multinomial regression. It implements and generalizes algorithms designed in <doi:10.1073/pnas.2014241117> that exploits a novel sequencing-and-splicing technique to guarantee exact support recovery and globally optimal solution in polynomial times.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10)
Imports: Rcpp, MASS, methods, Matrix
LinkingTo: Rcpp, RcppEigen
SystemRequirements: C++11
Suggests: testthat, knitr, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/abess-team/abess, https://abess-team.github.io/abess/
BugReports: https://github.com/abess-team/abess/issues
NeedsCompilation: yes
Packaged: 2021-04-21 06:10:14 UTC; JinZhu
Author: Jin Zhu [aut, cre] (<https://orcid.org/0000-0001-8550-5822>), Kangkang Jiang [aut], Yanhang Zhang [aut], Liyuan Hu [aut], Junxian Zhu [aut], Canhong Wen [aut], Heping Zhang [aut] (<https://orcid.org/0000-0002-0688-4076>), Xueqin Wang [aut] (<https://orcid.org/0000-0001-5205-9950>)
Repository: CRAN
Date/Publication: 2021-04-21 12:00:05 UTC

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Package muhaz updated to version 1.2.6.4 with previous version 1.2.6.3 dated 2021-04-01

Title: Hazard Function Estimation in Survival Analysis
Description: Produces a smooth estimate of the hazard function for censored data.
Author: S original by Kenneth Hess, R port by R. Gentleman
Maintainer: David Winsemius <dwinsemius@comcast.net>

Diff between muhaz versions 1.2.6.3 dated 2021-04-01 and 1.2.6.4 dated 2021-04-21

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Package waves updated to version 0.1.1 with previous version 0.1.0 dated 2020-09-17

Title: Vis-NIR Spectral Analysis Wrapper
Description: Originally designed application in the context of resource-limited plant research and breeding programs, 'waves' provides an open-source solution to spectral data processing and model development by bringing useful packages together into a streamlined pipeline. This package is wrapper for functions related to the analysis of point visible and near-infrared reflectance measurements. It includes visualization, filtering, aggregation, preprocessing, cross-validation set formation, model training, and prediction functions to enable open-source association of spectral and reference data. This package is documented in a peer-reviewed manuscript in the Plant Phenome Journal <doi:10.1002/ppj2.20012>. Specialized cross-validation schemes are described in detail in Jarquín et al. (2017) <doi:10.3835/plantgenome2016.12.0130>. Example data is from Ikeogu et al. (2017) <doi:10.1371/journal.pone.0188918>.
Author: Jenna Hershberger [aut, cre] (<https://orcid.org/0000-0002-3147-6867>), Michael Gore [ths], NSF BREAD IOS-1543958 [fnd]
Maintainer: Jenna Hershberger <jmh579@cornell.edu>

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Package tidymv updated to version 3.2.1 with previous version 3.2.0 dated 2021-01-05

Title: Tidy Model Visualisation for Generalised Additive Models
Description: Provides functions for visualising generalised additive models and getting predicted values using tidy tools from the 'tidyverse' packages.
Author: Stefano Coretta [aut, cre], Jacolien van Rij [cph] (Imported functions from itsadug), Martijn Wieling [cph] (Imported functions from itsadug)
Maintainer: Stefano Coretta <stefano.coretta@gmail.com>

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Package splines2 updated to version 0.4.3 with previous version 0.4.2 dated 2021-02-21

Title: Regression Spline Functions and Classes
Description: Constructs basis matrix of B-splines, M-splines, I-splines, convex splines (C-splines), periodic M-splines, natural cubic splines, generalized Bernstein polynomials, and their integrals (except C-splines) and derivatives of given order by close-form recursive formulas. It also contains a C++ head-only library integrated with Rcpp. See De Boor (1978) <doi:10.1002/zamm.19800600129>, Ramsay (1988) <doi:10.1214/ss/1177012761>, and Meyer (2008) <doi:10.1214/08-AOAS167> for more information about the spline basis.
Author: Wenjie Wang [aut, cre] (<https://orcid.org/0000-0003-0363-3180>), Jun Yan [aut] (<https://orcid.org/0000-0003-4401-7296>)
Maintainer: Wenjie Wang <wang@wwenjie.org>

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Package speakr updated to version 3.1.1 with previous version 3.1.0 dated 2021-04-19

Title: A Wrapper for the Phonetic Software 'Praat'
Description: It allows running 'Praat' scripts from R and it provides some wrappers for basic plotting. It also adds support for literate markdown tangling. The package is designed to bring reproducible phonetic research into R.
Author: Stefano Coretta [aut, cre]
Maintainer: Stefano Coretta <stefano.coretta@gmail.com>

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Package NNS updated to version 0.6.3.2 with previous version 0.6.3.1 dated 2021-04-20

Title: Nonlinear Nonparametric Statistics
Description: Nonlinear nonparametric statistics using partial moments. Partial moments are the elements of variance and asymptotically approximate the area of f(x). These robust statistics provide the basis for nonlinear analysis while retaining linear equivalences. NNS offers: Numerical integration, Numerical differentiation, Clustering, Correlation, Dependence, Causal analysis, ANOVA, Regression, Classification, Seasonality, Autoregressive modeling, Normalization and Stochastic dominance. All routines based on: Viole, F. and Nawrocki, D. (2013), Nonlinear Nonparametric Statistics: Using Partial Moments (ISBN: 1490523995).
Author: Fred Viole
Maintainer: Fred Viole <ovvo.financial.systems@gmail.com>

Diff between NNS versions 0.6.3.1 dated 2021-04-20 and 0.6.3.2 dated 2021-04-21

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Package metapack updated to version 0.1.2 with previous version 0.1.1 dated 2021-02-23

Title: Bayesian Meta-Analysis and Network Meta-Analysis
Description: Contains functions performing Bayesian inference for meta-analytic and network meta-analytic models through Markov chain Monte Carlo algorithm. Currently, the package implements Hui Yao, Sungduk Kim, Ming-Hui Chen, Joseph G. Ibrahim, Arvind K. Shah, and Jianxin Lin (2015) <doi:10.1080/01621459.2015.1006065> and Hao Li, Daeyoung Lim, Ming-Hui Chen, Joseph G. Ibrahim, Sungduk Kim, Arvind K. Shah, Jianxin Lin (2021) <doi:10.1002/sim.8983>. For maximal computational efficiency, the Markov chain Monte Carlo samplers for each model, written in C++, are fine-tuned. This software has been developed under the auspices of the National Institutes of Health and Merck & Co., Inc., Kenilworth, NJ, USA.
Author: Daeyoung Lim [aut, cre], Ming-Hui Chen [ctb], Sungduk Kim [ctb], Joseph Ibrahim [ctb], Arvind Shah [ctb], Jianxin Lin [ctb]
Maintainer: Daeyoung Lim <daeyoung.lim@uconn.edu>

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Package gap updated to version 1.2.3-1 with previous version 1.2.2 dated 2020-02-02

Title: Genetic Analysis Package
Description: It is designed as an integrated package for genetic data analysis of both population and family data. Currently, it contains functions for sample size calculations of both population-based and family-based designs, probability of familial disease aggregation, kinship calculation, statistics in linkage analysis, and association analysis involving genetic markers including haplotype analysis with or without environmental covariates. Over years, the package has been developed in-between many projects hence also in line with the name (gap).
Author: Jing Hua Zhao and colleagues with inputs from Kurt Hornik and Brian Ripley
Maintainer: Jing Hua Zhao <jinghuazhao@hotmail.com>

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Package RRTCS updated to version 0.0.4 with previous version 0.0.3 dated 2015-11-03

Title: Randomized Response Techniques for Complex Surveys
Description: Point and interval estimation of linear parameters with data obtained from complex surveys (including stratified and clustered samples) when randomization techniques are used. The randomized response technique was developed to obtain estimates that are more valid when studying sensitive topics. Estimators and variances for 14 randomized response methods for qualitative variables and 7 randomized response methods for quantitative variables are also implemented. In addition, some data sets from surveys with these randomization methods are included in the package.
Author: Beatriz Cobo Rodríguez, María del Mar Rueda García, Antonio Arcos Cebrián
Maintainer: Beatriz Cobo Rodríguez <beacr@ugr.es>

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Package mangoTraining (with last version 1.1) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2020-06-03 1.1
2017-01-17 1.0-7
2015-12-18 1.0-6

Permanent link
Package Tlasso (with last version 1.0.1) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2016-09-19 1.0.1

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New package windsoraiR with initial version 0.1.0
Package: windsoraiR
Title: Access the 'Windsor.ai' API
Version: 0.1.0
Authors@R: c(person(given = "Novica", family = "Nakov", role = c("aut", "cre"), email = "nnovica@gmail.com"), person(given = "Windsor.ai", role = "cph", email = "admin@windsor.ai"))
Description: Collect data from the 'Windsor.ai' API <https://www.windsor.ai/api-fields/>.
License: MIT + file LICENSE
URL: https://github.com/windsor-ai/windsoraiR/
BugReports: https://github.com/windsor-ai/windsoraiR/
Depends: R (>= 2.10)
Imports: jsonlite (>= 1.7.2)
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
Suggests: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2021-04-20 08:33:10 UTC; novica
Author: Novica Nakov [aut, cre], Windsor.ai [cph]
Maintainer: Novica Nakov <nnovica@gmail.com>
Repository: CRAN
Date/Publication: 2021-04-21 07:10:02 UTC

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New package tensorTS with initial version 0.1.0
Package: tensorTS
Title: Factor and Autoregressive Models for Tensor Time Series
Version: 0.1.0
Authors@R: c( person("Zebang", "Li", email = "zl326@stat.rutgers.edu", role=c("aut","cre")), person("Ruofan", "Yu", role = "aut"), person("Rong", "Chen", role = "aut"), person("Yuefeng", "Han", role = "aut"), person("Han", "Xiao", role = "aut"), person("Dan", "Yang", role = "aut"))
Description: Factor and autoregressive models for matrix and tensor valued time series. We provide functions for estimation, simulation and prediction. The models are discussed in Chen et al (2020) <DOI:10.1016/j.jeconom.2020.07.002>, Chen et al (2020) <arXiv:1905.07530>, and Han et al (2020) <arXiv:2006.02611>.
License: GPL (>= 2)
Encoding: UTF-8
Depends: tensor, rTensor, expm
Imports: methods, stats, MASS, abind, Matrix, pracma, graphics
URL: https://github.com/zebang/tensorTS
BugReports: https://github.com/ZeBang/tensorTS/issues
NeedsCompilation: no
Packaged: 2021-04-20 16:42:53 UTC; zeban
Author: Zebang Li [aut, cre], Ruofan Yu [aut], Rong Chen [aut], Yuefeng Han [aut], Han Xiao [aut], Dan Yang [aut]
Maintainer: Zebang Li <zl326@stat.rutgers.edu>
Repository: CRAN
Date/Publication: 2021-04-21 08:00:02 UTC

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New package psycModel with initial version 0.3.0
Package: psycModel
Title: Integrated Toolkit for Psychological Analysis and Modeling in R
Version: 0.3.0
Authors@R: person(given = "Jason", family = "Moy", role = c("aut", "cre"), email = "jasonmoy28@gmail.com", comment = c(ORCID = "0000-0001-8795-3311"))
Description: A beginner-friendly R package for modeling in psychology or related field. It allows fitting models, plotting, checking goodness of fit, and model assumption violations all in one place. It also produces beautiful and easy-to-read output.
License: GPL (>= 3)
URL: https://jasonmoy28.github.io/psycModel/
Depends: R (>= 2.10)
Imports: dplyr, ggplot2, glue, lavaan, lifecycle, lme4, lmerTest, parameters, performance, psych, rlang (>= 0.1.2), stringr, tibble, tidyr, utils
Suggests: correlation, covr, cowplot, fansi, ggrepel, GPArotation, gridExtra, interactions, knitr, nFactors, nlme, pagedown, qqplotr, rmarkdown, roxygen2, sandwich, see, semPlot, testthat (>= 3.0.0), tidyselect
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2021-04-20 16:35:44 UTC; Jasonmoy
Author: Jason Moy [aut, cre] (<https://orcid.org/0000-0001-8795-3311>)
Maintainer: Jason Moy <jasonmoy28@gmail.com>
Repository: CRAN
Date/Publication: 2021-04-21 07:50:02 UTC

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New package LearningStats with initial version 0.1.0
Package: LearningStats
Title: Elemental Descriptive and Inferential Statistics
Version: 0.1.0
Authors@R: c( person("María Isabel", "Borrajo-García", role = c("aut", "cre"), email = "mariaisabel.borrajo@usc.es"), person("Mercedes", "Conde-Amboage", role = "aut", email = "mercedes.amboage@usc.es"), person("Alejandra", "López-Pérez", role = "aut", email = "alejandralopez.perez@usc.es") )
Description: Provides tools to teach students elemental statistics. The main topics covered are descriptive statistics, probability models (discrete and continuous variables) and statistical inference (confidence intervals and hypothesis tests). One of the main advantages of this package is that allows the user to read quite a variety of types of data files with one unique command. Moreover it includes shortcuts to simple but up-to-now not in R descriptive features such a complete frequency table or an histogram with the optimal number of intervals. Related to model distributions (both discrete and continuous), the package allows the student to easy plot the mass/density function, distribution function and quantile function just detailing as input arguments the known population parameters. The inference related tools are basically confidence interval and hypothesis testing. Having defined independent commands for these two tools makes it easier for the student to understand what the software is performing, and it also helps the student to have a better knowledge on which specific tool they need to use in each situation. Moreover, the hypothesis testing commands provide not only the numeric result on the screen but also a very intuitive graph (which includes the statistic distribution, the observed value of the statistic, the rejection area and the p-value) that is very useful for the student to visualise the process. The regression section includes up to now, a simple linear model, with one single command the student can obtain the numeric summary as well as the corresponding diagram with the adjusted regression model and a legend with basic information (formula of the adjusted model and R-squared).
Language: en-GB
License: GPL-2
Encoding: UTF-8
Depends: R (>= 3.5.0)
LazyData: true
Imports: stats, grDevices, graphics, utils, tools, data.table, readxl, haven, readODS
NeedsCompilation: no
Packaged: 2021-04-20 07:13:56 UTC; maribel
Author: María Isabel Borrajo-García [aut, cre], Mercedes Conde-Amboage [aut], Alejandra López-Pérez [aut]
Maintainer: María Isabel Borrajo-García <mariaisabel.borrajo@usc.es>
Repository: CRAN
Date/Publication: 2021-04-21 07:10:05 UTC

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New package grpsel with initial version 1.0.0
Package: grpsel
Title: Group Subset Selection
Version: 1.0.0
Date: 2021-04-21
Authors@R: person("Ryan", "Thompson", email = "ryan.thompson@monash.edu", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-9002-0448"))
Description: Provides tools for sparse regression modelling with grouped predictors using the group subset selection penalty. Uses coordinate descent and local search algorithms to rapidly deliver near optimal estimates. The group subset penalty can be combined with a group lasso or ridge penalty for added shrinkage. Linear and logistic regression are supported, as are overlapping groups.
URL: https://github.com/ryan-thompson/grpsel
BugReports: https://github.com/ryan-thompson/grpsel
License: GPL-3
Encoding: UTF-8
Imports: ggplot2, Rcpp
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2021-04-20 15:49:13 UTC; ryan
Author: Ryan Thompson [aut, cre] (<https://orcid.org/0000-0002-9002-0448>)
Maintainer: Ryan Thompson <ryan.thompson@monash.edu>
Repository: CRAN
Date/Publication: 2021-04-21 07:50:06 UTC

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New package greed with initial version 0.5.0
Package: greed
Title: Clustering and Model Selection with the Integrated Classification Likelihood
Version: 0.5.0
Date: 2021-04-07
Authors@R: c(person(given = "Etienne", family = "Côme", role = c("aut", "cre"), email = "etienne.come@univ-eiffel.fr"), person(given = "Nicolas", family = "Jouvin", role = c("aut")))
URL: https://comeetie.github.io/greed/, https://github.com/comeetie/greed
BugReports: https://github.com/comeetie/greed/issues
Maintainer: Etienne Côme <etienne.come@univ-eiffel.fr>
Description: An ensemble of algorithms that enable the clustering of networks and data matrix such as document/term matrix with different type of generative models. Model selection and clustering is performed in combination by optimizing the Integrated Classification Likelihood (which is equivalent to minimizing the description length). Several models are available such as: Stochastic Block Model, degree corrected Stochastic Block Model, Mixtures of Multinomial, Latent Block Model. The optimization is performed thanks to a combination of greedy local search and a genetic algorithm (see <arXiv:2002:11577> for more details).
License: GPL
Depends: R (>= 2.10)
Imports: Rcpp (>= 1.0.0), Matrix, future, listenv, ggplot2, graphics, methods, stats,RSpectra,ggpubr, MASS,cba
LinkingTo: Rcpp, RcppArmadillo
Suggests: testthat, knitr, rmarkdown, igraph, dplyr, tibble, tidyr, spelling
Encoding: UTF-8
VignetteBuilder: knitr
Collate: 'RcppExports.R' 'misc.R' 'models_classes.R' 'fit_classes.R' 'cleanpath.R' 'genetic_alg.R' 'hybrid_alg.R' 'alg_classes.R' 'dcsbm.R' 'coclust_dcsbm.R' 'data.R' 'generator.R' 'mvmreg.R' 'gmm.R' 'greed.R' 'sbm.R' 'misssbm.R' 'mm.R' 'multistart_alg.R' 'multsbm.R' 'plot.R'
Language: en-US
NeedsCompilation: yes
Packaged: 2021-04-20 13:04:53 UTC; comeetie
Author: Etienne Côme [aut, cre], Nicolas Jouvin [aut]
Repository: CRAN
Date/Publication: 2021-04-21 07:40:02 UTC

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New package geocmeans with initial version 0.1.1
Package: geocmeans
Title: Implementing Methods for Spatial Fuzzy Unsupervised Classification
Version: 0.1.1
Authors@R: c( person("Jeremy", "Gelb", email = "jeremy.gelb@ucs.inrs.ca",role = c("aut", "cre")), person("Philippe", "Apparicio", email="philippe.apparicio@ucs.inrs.ca", role=c("ctb")))
Maintainer: Jeremy Gelb <jeremy.gelb@ucs.inrs.ca>
Imports: ggplot2 (>= 3.2.1), spdep (>= 1.1.2), reldist (>= 1.6.6), dplyr (>= 0.8.3), fclust (>= 2.1.1), fmsb (>= 0.7.0), broom (>= 0.5.2), future.apply (>= 1.4.0), progressr (>= 0.4.0), reshape2 (>= 1.4.4), sp (>= 1.4-4), stats (>= 3.5)
Depends: R (>= 3.5)
Suggests: knitr (>= 1.28), rmarkdown (>= 2.1), markdown (>= 1.1), maptools (>= 0.9-5), rgeos (>= 0.5-2), future (>= 1.16.0), ppclust (>= 1.1.0), ClustGeo (>= 2.0), car (>= 3.0-7), rgl (>= 0.100), ggpubr (>= 0.2.5), RColorBrewer (>= 1.1-2), kableExtra (>= 1.1.0), viridis (>= 0.5.1), testthat(>= 3.0.0), sf(>= 0.9-8)
License: GPL-2
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
Description: Provides functions to apply spatial fuzzy unsupervised classification, visualize and interpret results. This method is well suited when the user wants to analyze data with a fuzzy clustering algorithm and to account for the spatial dimension of the dataset. Indexes for estimating the spatial consistency and classification quality are proposed in addition. The methods were originally proposed in the field of brain imagerie (seed Cai and al. 2007 <doi:10.1016/j.patcog.2006.07.011> and Zaho and al. 2013 <doi:10.1016/j.dsp.2012.09.016>) and recently applied in geography (see Gelb and Apparicio <doi:10.4000/cybergeo.36414>).
URL: https://github.com/JeremyGelb/geocmeans
BugReports: https://github.com/JeremyGelb/geocmeans/issues
NeedsCompilation: no
Packaged: 2021-04-20 13:00:27 UTC; gelbj
Author: Jeremy Gelb [aut, cre], Philippe Apparicio [ctb]
Repository: CRAN
Date/Publication: 2021-04-21 07:40:07 UTC

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New package DCEtool with initial version 0.0.1
Package: DCEtool
Title: Create, Survey and Analyse Discrete Choice Experiments
Version: 0.0.1
Authors@R: person(given = "Daniel", family = "Perez Troncoso", role = c("aut", "cre"), email = "danielperez@ugr.es", comment = c(ORCID = "0000-0003-0091-8148"))
Description: This app is intended to be a complete package for creating, surveying, and analysing discrete choice experiments. Although all these functionalities are available, the app can also be used only to obtain the design of a discrete choice experiment. Reference: Perez-Troncoso, D. (2021) <https://github.com/danielpereztr/DCEtool>.
License: GPL-3
Encoding: UTF-8
Imports: DT, shiny, shinythemes, survival, idefix, writexl, shinyjs, MASS, stats
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-04-20 09:43:49 UTC; danie
Author: Daniel Perez Troncoso [aut, cre] (<https://orcid.org/0000-0003-0091-8148>)
Maintainer: Daniel Perez Troncoso <danielperez@ugr.es>
Repository: CRAN
Date/Publication: 2021-04-21 07:30:03 UTC

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New package circle with initial version 0.7.1
Package: circle
Title: R Client Package for Circle CI
Version: 0.7.1
Authors@R: c(person(given = "Patrick", family = "Schratz", role = c("aut", "cre"), email = "patrick.schratz@gmail.com", comment = c(ORCID = "0000-0003-0748-6624")), person(given = "Max", family = "Joseph", role = "rev", comment = "Max reviewed the package for ropensci, see <https://github.com/ropensci/software-review/issues/356>"), person(given = "Sharla", family = "Gelfand", role = "rev", comment = "Sharla reviewed the package for ropensci, see <https://github.com/ropensci/software-review/issues/356>"))
Description: Tools for interacting with the 'Circle CI' API (<https://circleci.com/docs/api/v2/>). Besides executing common tasks such as querying build logs and restarting builds, this package also helps setting up permissions to deploy from builds.
License: GPL-3
URL: https://docs.ropensci.org/circle/, https://github.com/ropensci/circle
BugReports: https://github.com/ropensci/circle/issues
Imports: cli (>= 2.0.0), httr, jsonlite
Suggests: clipr, covr, gert, gh, knitr, openssl, purrr, rmarkdown, testthat (>= 3.0.0), usethis (>= 2.0.0), utils, vcr, withr
VignetteBuilder: knitr
Config/testthat/parallel: true
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2021-04-20 15:26:29 UTC; pjs
Author: Patrick Schratz [aut, cre] (<https://orcid.org/0000-0003-0748-6624>), Max Joseph [rev] (Max reviewed the package for ropensci, see <https://github.com/ropensci/software-review/issues/356>), Sharla Gelfand [rev] (Sharla reviewed the package for ropensci, see <https://github.com/ropensci/software-review/issues/356>)
Maintainer: Patrick Schratz <patrick.schratz@gmail.com>
Repository: CRAN
Date/Publication: 2021-04-21 07:50:10 UTC

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New package ccoptimalmatch with initial version 0.1.0
Package: ccoptimalmatch
Title: Implementation of Case-Control Optimal Matching
Version: 0.1.0
Authors@R: c( person("Pavlos", "Mamouris",role = c("aut", "cre"), email = "pavlos.mamouris@kuleuven.be"), person("Vahid", "Nassiri",role = c("aut", "ctb"), email= "vahid.nassiri@openanalytics.eu"))
Description: Cases are matched to controls in an efficient, optimal and computationally flexible way. It uses the idea of sub-sampling in the level of the case, by creating pseudo-observations of controls. The user can select between replacement and without replacement, the number of controls, and several covariates to match upon. See Mamouris (2021) <doi:10.1186/s12874-021-01256-3> for an overview.
Depends: R (>= 2.10)
License: GPL-2
Encoding: UTF-8
LazyData: true
Imports: dplyr, rlang
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-04-20 10:55:41 UTC; u0112219
Author: Pavlos Mamouris [aut, cre], Vahid Nassiri [aut, ctb]
Maintainer: Pavlos Mamouris <pavlos.mamouris@kuleuven.be>
Repository: CRAN
Date/Publication: 2021-04-21 07:40:10 UTC

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Package geneExpressionFromGEO (with last version 0.5) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2021-04-06 0.5
2021-01-25 0.4
2020-11-17 0.3
2020-11-16 0.2

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Package Rraven updated to version 1.0.13 with previous version 1.0.12 dated 2021-03-09

Title: Connecting R and 'Raven' Sound Analysis Software
Description: A tool to exchange data between R and 'Raven' sound analysis software (Cornell Lab of Ornithology). Functions work on data formats compatible with the R package 'warbleR'.
Author: Marcelo Araya-Salas [aut, cre] (<https://orcid.org/0000-0003-3594-619X>)
Maintainer: Marcelo Araya-Salas <marcelo.araya@ucr.ac.cr>

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Package nandb updated to version 2.0.8 with previous version 2.0.7 dated 2020-05-08

Title: Number and Brightness Image Analysis
Description: Calculation of molecular number and brightness from fluorescence microscopy image series. The software was published in a 2016 paper <doi:10.1093/bioinformatics/btx434>. The seminal paper for the technique is Digman et al. 2008 <doi:10.1529/biophysj.107.114645>. A review of the technique was published in 2017 <doi:10.1016/j.ymeth.2017.12.001>.
Author: Rory Nolan [aut, cre, cph] (<https://orcid.org/0000-0002-5239-4043>), Luis Alvarez [ctb, cph] (<https://orcid.org/0000-0003-1316-1906>), Sergi Padilla-Parra [ctb, ths, cph] (<https://orcid.org/0000-0002-8010-9481>)
Maintainer: Rory Nolan <rorynoolan@gmail.com>

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Package detrendr updated to version 0.6.13 with previous version 0.6.12 dated 2021-02-08

Title: Detrend Images
Description: Detrend fluorescence microscopy image series for fluorescence fluctuation and correlation spectroscopy ('FCS' and 'FFS') analysis. This package contains functionality published in a 2016 paper <doi:10.1093/bioinformatics/btx434> but it has been extended since then with the Robin Hood algorithm and thus contains unpublished work.
Author: Rory Nolan [aut, cre] (<https://orcid.org/0000-0002-5239-4043>), Luis Alvarez [ctb, cph] (<https://orcid.org/0000-0003-1316-1906>), Sergi Padilla-Parra [ctb, ths, cph] (<https://orcid.org/0000-0002-8010-9481>)
Maintainer: Rory Nolan <rorynoolan@gmail.com>

Diff between detrendr versions 0.6.12 dated 2021-02-08 and 0.6.13 dated 2021-04-21

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Package baRulho updated to version 1.0.5 with previous version 1.0.4 dated 2021-03-09

Title: Quantifying Habitat-Induced Acoustic Signal Degradation
Description: Intended to facilitate acoustic analysis of (animal) sound transmission experiments, which typically aim to quantify changes in signal structure when transmitted in a given habitat by broadcasting and re-recording animal sounds at increasing distances. The package offers a workflow with functions to prepare the data set for analysis as well as to calculate and visualize several degradation metrics, including blur ratio, signal-to-noise ratio, excess attenuation and envelope correlation among others (Dabelsteen et al 1993 <doi:10.1121/1.406682>).
Author: Marcelo Araya-Salas [aut, cre]
Maintainer: Marcelo Araya-Salas <marcelo.araya@ucr.ac.cr>

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Package badger updated to version 0.1.0 with previous version 0.0.9 dated 2020-12-05

Title: Badge for R Package
Description: Query information and generate badge for using in README and GitHub Pages.
Author: Guangchuang Yu [aut, cre] (<https://orcid.org/0000-0002-6485-8781>), Gregor de Cillia [ctb], Dirk Eddelbuettel [ctb], Maëlle Salmon [ctb], Robrecht Cannoodt [ctb] (<https://orcid.org/0000-0003-3641-729X>, rcannood), Alexander Rossell Hayes [ctb] (<https://orcid.org/0000-0001-9412-0457>, rossellhayes)
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>

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Package LipidMSdata (with last version 1.0.0) was removed from CRAN

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2019-10-07 1.0.0

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Package iriR (with last version 0.2.1) was removed from CRAN

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2021-01-06 0.2.1
2020-11-09 0.1.0

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Package collector (with last version 0.1.3) was removed from CRAN

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2020-02-17 0.1.3

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Package FiRE (with last version 1.0) was removed from CRAN

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2019-01-02 1.0

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Package spBFA (with last version 1.0) was removed from CRAN

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2019-10-30 1.0

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Package tempcyclesdata (with last version 1.0.1) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2016-01-03 1.0.1
2016-01-01 1.0.0

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Package mixggm (with last version 1.0) was removed from CRAN

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2018-11-14 1.0

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Package onlineretail (with last version 0.1.1) was removed from CRAN

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2021-01-26 0.1.1
2020-11-20 0.1.0

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Package NetworkSim (with last version 0.1.0) was removed from CRAN

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2018-12-18 0.1.0

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Package HCmodelSets (with last version 1.1.1) was removed from CRAN

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2020-04-20 1.1.1
2019-12-16 1.1
2018-12-17 1.0.2
2018-12-13 1.0.1
2018-12-11 1.0.0
2018-11-27 0.2.1
2018-07-05 0.1.1

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Package alineR (with last version 1.1.4) was removed from CRAN

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2017-09-14 1.1.4
2016-04-01 1.1.3
2015-11-30 1.1.2
2015-08-06 1.1.1
2015-07-27 1.1
2015-07-10 1.0

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Package fhidata (with last version 2019.8.27) was removed from CRAN

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2019-08-29 2019.8.27
2019-06-24 2019.6.24
2019-05-21 2019.5.19
2019-04-04 2019.4.2

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Package rainette (with last version 0.1.2) was removed from CRAN

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2021-01-20 0.1.2
2020-05-09 0.1.1
2020-03-25 0.1

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Package redist (with last version 3.0.1) was removed from CRAN

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2021-04-07 3.0.1
2020-10-13 2.0.2

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Package spread (with last version 2019.8.5) was removed from CRAN

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2019-08-20 2019.8.5

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Package DEPONS2R (with last version 1.0.0) was removed from CRAN

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2020-10-26 1.0.0

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Package dataverse (with last version 0.3.8) was removed from CRAN

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2021-04-14 0.3.8
2021-03-08 0.3.7

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Package tvm updated to version 0.5.0 with previous version 0.4.0 dated 2019-03-06

Title: Time Value of Money Functions
Description: Functions for managing cashflows and interest rate curves.
Author: Juan Manuel Truppia
Maintainer: Juan Manuel Truppia <jmtruppia@gmail.com>

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Package rsvg updated to version 2.1.1 with previous version 2.1 dated 2020-05-19

Title: Render SVG Images into PDF, PNG, PostScript, or Bitmap Arrays
Description: Renders vector-based svg images into high-quality custom-size bitmap arrays using 'librsvg2'. The resulting bitmap can be written to e.g. png, jpeg or webp format. In addition, the package can convert images directly to various formats such as pdf or postscript.
Author: Jeroen Ooms [aut, cre] (<https://orcid.org/0000-0002-4035-0289>)
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>

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Package reticulate updated to version 1.19 with previous version 1.18 dated 2020-10-25

Title: Interface to 'Python'
Description: Interface to 'Python' modules, classes, and functions. When calling into 'Python', R data types are automatically converted to their equivalent 'Python' types. When values are returned from 'Python' to R they are converted back to R types. Compatible with all versions of 'Python' >= 2.7.
Author: Kevin Ushey [aut, cre], JJ Allaire [aut], RStudio [cph, fnd], Yuan Tang [aut, cph] (<https://orcid.org/0000-0001-5243-233X>), Dirk Eddelbuettel [ctb, cph], Bryan Lewis [ctb, cph], Sigrid Keydana [ctb], Ryan Hafen [ctb, cph], Marcus Geelnard [ctb, cph] (TinyThread library, http://tinythreadpp.bitsnbites.eu/)
Maintainer: Kevin Ushey <kevin@rstudio.com>

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Package PeerPerformance updated to version 2.2.3 with previous version 2.2.2 dated 2020-04-21

Title: Luck-Corrected Peer Performance Analysis in R
Description: Provides functions to perform the peer performance analysis of funds' returns as described in Ardia and Boudt (2018) <doi:10.1016/j.jbankfin.2017.10.014>.
Author: David Ardia [aut, cre] (<https://orcid.org/0000-0003-2823-782X>), Kris Boudt [aut], Nabil Bouamara [ctb]
Maintainer: David Ardia <david.ardia.ch@gmail.com>

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Package landmap updated to version 0.0.9 with previous version 0.0.7 dated 2021-01-29

Title: Automated Spatial Prediction using Ensemble Machine Learning
Description: Functions and tools for spatial interpolation and/or prediction of environmental variables (points to grids) based on using Ensemble Machine Learning with geographical distances. Package also provides access to Global Environmental Layers (<https://www.OpenLandMap.org>) produced by the OpenGeoHub.org foundation and collaborators. Some functions have been migrated and adopted from the Global Soil Information Facilities package.
Author: Tomislav Hengl [aut, cre]
Maintainer: Tomislav Hengl <tom.hengl@opengeohub.org>

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Package GA updated to version 3.2.1 with previous version 3.2 dated 2019-01-10

Title: Genetic Algorithms
Description: Flexible general-purpose toolbox implementing genetic algorithms (GAs) for stochastic optimisation. Binary, real-valued, and permutation representations are available to optimize a fitness function, i.e. a function provided by users depending on their objective function. Several genetic operators are available and can be combined to explore the best settings for the current task. Furthermore, users can define new genetic operators and easily evaluate their performances. Local search using general-purpose optimisation algorithms can be applied stochastically to exploit interesting regions. GAs can be run sequentially or in parallel, using an explicit master-slave parallelisation or a coarse-grain islands approach.
Author: Luca Scrucca [aut, cre] (<https://orcid.org/0000-0003-3826-0484>)
Maintainer: Luca Scrucca <luca.scrucca@unipg.it>

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Package FORTLS updated to version 1.0.2 with previous version 1.0.1 dated 2021-03-02

Title: Automatic Processing of TLS Point Cloud Data for Forestry Purposes
Description: Process automation of Terrestrial Laser Scanner (TLS) point cloud data derived from single scans. 'FORTLS' enables (i) detection of trees and estimation of diameter at breast height (dbh), (ii) estimation of some stand variables (e.g. density, basal area, mean and dominant height), (iii) computation of metrics related to important forest attributes estimated in Forest Inventories (FIs) at stand level and (iv) optimization of plot design for combining TLS data and field measured data. Documentation about 'FORTLS' is described in Molina-Valero et al. (2020, <doi:10.3390/IECF2020-08066>).
Author: Juan Alberto Molina-Valero [aut, cph, cre], María José Ginzo Villamayor [aut, com], Manuel Antonio Novo Pérez [aut, com], Adela Martínez-Calvo [aut, com], Juan Gabriel Álvarez-González [aut, ths], Fernando Montes [aut], César Pérez-Cruzado [aut, ths]
Maintainer: Juan Alberto Molina-Valero <juanalberto.molina.valero@usc.es>

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Package flashlight updated to version 0.8.0 with previous version 0.7.5 dated 2021-02-13

Title: Shed Light on Black Box Machine Learning Models
Description: Shed light on black box machine learning models by the help of model performance, variable importance, global surrogate models, ICE profiles, partial dependence (Friedman J. H. (2001) <doi:10.1214/aos/1013203451>), accumulated local effects (Apley D. W. (2016) <arXiv:1612.08468>), further effects plots, scatter plots, interaction strength, and variable contribution breakdown (approximate SHAP) for single observations (Gosiewska and Biecek (2019) <arxiv:1903.11420>). All tools are implemented to work with case weights and allow for stratified analysis. Furthermore, multiple flashlights can be combined and analyzed together.
Author: Michael Mayer [aut, cre, cph]
Maintainer: Michael Mayer <mayermichael79@gmail.com>

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Package AdMit updated to version 2.1.6 with previous version 2.1.5 dated 2020-04-20

Title: Adaptive Mixture of Student-t Distributions
Description: Provides functions to perform the fitting of an adaptive mixture of Student-t distributions to a target density through its kernel function as described in Ardia et al. (2009) <doi:10.18637/jss.v029.i03>. The mixture approximation can then be used as the importance density in importance sampling or as the candidate density in the Metropolis-Hastings algorithm to obtain quantities of interest for the target density itself.
Author: David Ardia [aut, cre, cph] (<https://orcid.org/0000-0003-2823-782X>), Lennart Hoogerheide [ctb], Herman van Dijk [ctb]
Maintainer: David Ardia <david.ardia.ch@gmail.com>

Diff between AdMit versions 2.1.5 dated 2020-04-20 and 2.1.6 dated 2021-04-21

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Tue, 20 Apr 2021

Package Rblpapi updated to version 0.3.11 with previous version 0.3.10 dated 2019-04-07

Title: R Interface to 'Bloomberg'
Description: An R Interface to 'Bloomberg' is provided via the 'Blp API'.
Author: Whit Armstrong, Dirk Eddelbuettel and John Laing
Maintainer: Dirk Eddelbuettel <edd@debian.org>

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Package stacks updated to version 0.2.0 with previous version 0.1.0 dated 2020-11-23

Title: Tidy Model Stacking
Description: Model stacking is an ensemble technique that involves training a model to combine the outputs of many diverse statistical models, and has been shown to improve predictive performance in a variety of settings. 'stacks' implements a grammar for 'tidymodels'-aligned model stacking.
Author: Simon Couch [aut, cre], Max Kuhn [aut], RStudio [cph]
Maintainer: Simon Couch <simonpatrickcouch@gmail.com>

Diff between stacks versions 0.1.0 dated 2020-11-23 and 0.2.0 dated 2021-04-20

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Package njtr1 updated to version 0.2.0 with previous version 0.1.1 dated 2021-04-04

Title: Download, Analyze & Clean New Jersey Car Crash Data
Description: Download and analyze motor vehicle crash data released by the New Jersey Department of Transportation (NJDOT). The data in this package is collected through the filing of NJTR-1 form by police officers, which provide a standardized way of documenting a motor vehicle crash that occurred in New Jersey. 3 different data tables containing data on crashes, vehicles & pedestrians released from 2001 to the present can be downloaded & cleaned using this package.
Author: Gavin Rozzi [aut, cre] (<https://orcid.org/0000-0002-9969-8175>)
Maintainer: Gavin Rozzi <gr@gavinrozzi.com>

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Package xROI updated to version 0.9.18 with previous version 0.9.17 dated 2020-07-24

Title: Delineate Region of Interests (ROI's) and Extract Time-Series Data from Digital Repeat Photography Images
Description: Digital repeat photography and near-surface remote sensing have been used by environmental scientists to study the environmental change for nearly a decade. However, a user-friendly, reliable, and robust platform to extract color-based statistics and time-series from a large stack of images is still lacking. Here, we present an interactive open-source toolkit, called 'xROI', that facilitate the process time-series extraction and improve the quality of the final data. 'xROI' provides a responsive environment for scientists to interactively a) delineate regions of interest (ROI), b) handle field of view (FOV) shifts, and c) extract and export time series data characterizing image color (i.e. red, green and blue channel digital numbers for the defined ROI). Using 'xROI', user can detect FOV shifts without minimal difficulty. The software gives user the opportunity to readjust the mask files or redraw new ones every time an FOV shift occurs. 'xROI' helps to significantly improve data accuracy and continuity.
Author: Bijan Seyednasrollah, Thomas Milliman, Andrew D. Richardson
Maintainer: Bijan Seyednasrollah <bijan.s.nasr@gmail.com>

Diff between xROI versions 0.9.17 dated 2020-07-24 and 0.9.18 dated 2021-04-20

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Package writexl updated to version 1.4.0 with previous version 1.3.1 dated 2020-08-26

Title: Export Data Frames to Excel 'xlsx' Format
Description: Zero-dependency data frame to xlsx exporter based on 'libxlsxwriter'. Fast and no Java or Excel required.
Author: Jeroen Ooms [aut, cre] (<https://orcid.org/0000-0002-4035-0289>), John McNamara [cph] (Author of libxlsxwriter (see AUTHORS and COPYRIGHT files for details))
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>

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Package NNS updated to version 0.6.3.1 with previous version 0.6.2 dated 2021-03-15

Title: Nonlinear Nonparametric Statistics
Description: Nonlinear nonparametric statistics using partial moments. Partial moments are the elements of variance and asymptotically approximate the area of f(x). These robust statistics provide the basis for nonlinear analysis while retaining linear equivalences. NNS offers: Numerical integration, Numerical differentiation, Clustering, Correlation, Dependence, Causal analysis, ANOVA, Regression, Classification, Seasonality, Autoregressive modeling, Normalization and Stochastic dominance. All routines based on: Viole, F. and Nawrocki, D. (2013), Nonlinear Nonparametric Statistics: Using Partial Moments (ISBN: 1490523995).
Author: Fred Viole
Maintainer: Fred Viole <ovvo.financial.systems@gmail.com>

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Package bayesGARCH updated to version 2.1.7 with previous version 2.1.5 dated 2020-04-20

Title: Bayesian Estimation of the GARCH(1,1) Model with Student-t Innovations
Description: Provides the bayesGARCH() function which performs the Bayesian estimation of the GARCH(1,1) model with Student's t innovations as described in Ardia (2008) <doi:10.1007/978-3-540-78657-3>.
Author: David Ardia [aut, cre]
Maintainer: David Ardia <david.ardia.ch@gmail.com>

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Package basecamb updated to version 1.0.1 with previous version 0.9.0 dated 2021-04-10

Title: Utilities for Streamlined Data Import, Imputation and Modelling
Description: Provides functions streamlining the data analysis workflow: Outsourcing data import, renaming and type casting to a *.csv. Manipulating imputed datasets and fitting models on them. Summarizing models.
Author: J. Peter Marquardt [aut] (<https://orcid.org/0000-0002-5596-1357>), Till D. Best [aut, cre] (<https://orcid.org/0000-0001-7323-827X>)
Maintainer: Till D. Best <till-best@gmx.de>

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Package coil updated to version 1.2.3 with previous version 1.2.2 dated 2020-10-29

Title: Contextualization and Evaluation of COI-5P Barcode Data
Description: Designed for the cleaning, contextualization and assessment of cytochrome c oxidase I DNA barcode data (COI-5P, or the five prime portion of COI). It contains functions for placing COI-5P barcode sequences into a common reading frame, translating DNA sequences to amino acids and for assessing the likelihood that a given barcode sequence includes an insertion or deletion error. The error assessment relies on the comparison of input sequences against nucleotide and amino acid profile hidden Markov models (PHMMs) (for details see Durbin et al. 1998, ISBN: 9780521629713) trained on a taxonomically diverse set of reference sequences. The functions are provided as a complete pipeline and are also available individually for efficient and targeted analysis of barcode data.
Author: Cameron M. Nugent
Maintainer: Cameron M. Nugent <nugentc@uoguelph.ca>

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Package mkin updated to version 1.0.4 with previous version 1.0.3 dated 2021-02-15

Title: Kinetic Evaluation of Chemical Degradation Data
Description: Calculation routines based on the FOCUS Kinetics Report (2006, 2014). Includes a function for conveniently defining differential equation models, model solution based on eigenvalues if possible or using numerical solvers. If a C compiler (on windows: 'Rtools') is installed, differential equation models are solved using automatically generated C functions. Please note that no warranty is implied for correctness of results or fitness for a particular purpose.
Author: Johannes Ranke [aut, cre, cph] (<https://orcid.org/0000-0003-4371-6538>), Katrin Lindenberger [ctb] (contributed to mkinresplot()), René Lehmann [ctb] (ilr() and invilr()), Eurofins Regulatory AG [cph] (copyright for some of the contributions of JR 2012-2014)
Maintainer: Johannes Ranke <jranke@uni-bremen.de>

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Package journalabbr updated to version 0.2.5 with previous version 0.2.2 dated 2020-08-06

Title: Journal Abbreviations for BibTeX Documents
Description: Since the reference management software (such as 'Zotero', 'Mendeley') exports Bib file journal abbreviation is not detailed enough, the 'journalabbr' package only abbreviates the journal field of Bib file, and then outputs a new Bib file for generating reference format with journal abbreviation on other software (such as 'texstudio'). The abbreviation table is from 'JabRef'. At the same time, 'Shiny' application is provided to generate 'thebibliography', a reference format that can be directly used for latex paper writing based on 'Rmd' files.
Author: ShuCai Zou [aut, cre], Yu Chen [aut]
Maintainer: ShuCai Zou <zscmoyujian@163.com>

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Package liver updated to version 1.7 with previous version 1.6 dated 2021-04-06

Title: "Eating the Liver of Data Science"
Description: Provides a collection of helper functions that make various techniques from data science more user-friendly for non-experts. In this way, our aim is to allow non-experts to become familiar with the techniques with only a minimal level of coding knowledge. Indeed, following an ancient Persian idiom, we refer to this as "eating the liver of data science" which could be interpreted as "getting intimately close with data science". Examples of procedures we include are: data partitioning for out-of-sample testing, computing Mean Squared Error (MSE) for quantifying prediction accuracy, and data transformation (z-score and min-max). Besides such helper functions, the package also includes several interesting datasets that are useful for multivariate analysis.
Author: Reza Mohammadi [aut, cre] (<https://orcid.org/0000-0001-9538-0648>), Kevin Burke [aut]
Maintainer: Reza Mohammadi <a.mohammadi@uva.nl>

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Package worldmet updated to version 0.9.5 with previous version 0.9.4 dated 2021-04-09

Title: Import Surface Meteorological Data from NOAA Integrated Surface Database (ISD)
Description: Functions to import data from more than 30,000 surface meteorological sites around the world managed by the National Oceanic and Atmospheric Administration (NOAA) Integrated Surface Database (ISD, see <https://www.ncdc.noaa.gov/isd>).
Author: David Carslaw [aut, cre]
Maintainer: David Carslaw <david.carslaw@york.ac.uk>

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Package tune updated to version 0.1.4 with previous version 0.1.3 dated 2021-02-28

Title: Tidy Tuning Tools
Description: The ability to tune models is important. 'tune' contains functions and classes to be used in conjunction with other 'tidymodels' packages for finding reasonable values of hyper-parameters in models, pre-processing methods, and post-processing steps.
Author: Max Kuhn [aut, cre] (<https://orcid.org/0000-0003-2402-136X>), RStudio [cph]
Maintainer: Max Kuhn <max@rstudio.com>

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Package splancs updated to version 2.01-42 with previous version 2.01-40 dated 2017-04-16

Title: Spatial and Space-Time Point Pattern Analysis
Description: The Splancs package was written as an enhancement to S-Plus for display and analysis of spatial point pattern data; it has been ported to R and is in "maintenance mode".
Author: Roger Bivand [cre], Barry Rowlingson [aut], Peter Diggle [aut], Giovanni Petris [ctb], Stephen Eglen [ctb]
Maintainer: Roger Bivand <Roger.Bivand@nhh.no>

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Package parsedate updated to version 1.2.1 with previous version 1.2.0 dated 2019-05-08

Title: Recognize and Parse Dates in Various Formats, Including All ISO 8601 Formats
Description: Parse dates automatically, without the need of specifying a format. Currently it includes the git date parser. It can also recognize and parse all ISO 8601 formats.
Author: Gábor Csárdi, Linus Torvalds
Maintainer: Gábor Csárdi <csardi.gabor@gmail.com>

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Package multiAssetOptions updated to version 0.1-2 with previous version 0.1-1 dated 2015-01-31

Title: Finite Difference Method for Multi-Asset Option Valuation
Description: Efficient finite difference method for valuing European and American multi-asset options.
Author: Michael Eichenberger and Carlo Rosa
Maintainer: Michael Eichenberger <mike.eichenberger@gmail.com>

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Package callr updated to version 3.7.0 with previous version 3.6.0 dated 2021-03-28

Title: Call R from R
Description: It is sometimes useful to perform a computation in a separate R process, without affecting the current R process at all. This packages does exactly that.
Author: Gábor Csárdi [aut, cre, cph] (<https://orcid.org/0000-0001-7098-9676>), Winston Chang [aut], RStudio [cph, fnd], Mango Solutions [cph, fnd]
Maintainer: Gábor Csárdi <csardi.gabor@gmail.com>

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Package BiodiversityR updated to version 2.13-1 with previous version 2.12-3 dated 2020-12-17

Title: Package for Community Ecology and Suitability Analysis
Description: Graphical User Interface (via the R-Commander) and utility functions (often based on the vegan package) for statistical analysis of biodiversity and ecological communities, including species accumulation curves, diversity indices, Renyi profiles, GLMs for analysis of species abundance and presence-absence, distance matrices, Mantel tests, and cluster, constrained and unconstrained ordination analysis. A book on biodiversity and community ecology analysis is available for free download from the website. In 2012, methods for (ensemble) suitability modelling and mapping were expanded in the package.
Author: Roeland Kindt [cre, aut] (<https://orcid.org/0000-0002-7672-0712>)
Maintainer: Roeland Kindt <R.KINDT@CGIAR.ORG>

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Package TransPhylo updated to version 1.4.5 with previous version 1.4.4 dated 2020-06-08

Title: Inference of Transmission Tree from a Dated Phylogeny
Description: Inference of transmission tree from a dated phylogeny. Includes methods to simulate and analyse outbreaks. The methodology is described in Didelot et al. (2014) <doi:10.1093/molbev/msu121>, Didelot et al. (2017) <doi:10.1093/molbev/msw275>.
Author: Xavier Didelot [aut, cre] (<https://orcid.org/0000-0003-1885-500X>), Yuanwei Xu [ctb]
Maintainer: Xavier Didelot <xavier.didelot@gmail.com>

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Package sportyR updated to version 1.0.1 with previous version 1.0.0 dated 2021-04-19

Title: Plot Scaled 'ggplot' Representations of Sports Playing Surfaces
Description: Create scaled 'ggplot' representations of playing surfaces. Playing surfaces are drawn pursuant to rule-book specifications. This package should be used as a baseline plot for displaying player tracking data.
Author: Ross Drucker [aut, cre]
Maintainer: Ross Drucker <ross.a.drucker@gmail.com>

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Package flexpolyline updated to version 0.2.2 with previous version 0.2.1 dated 2021-01-04

Title: Flexible Polyline Encoding
Description: Binding to the C++ implementation of the flexible polyline encoding by HERE <https://github.com/heremaps/flexible-polyline>. The flexible polyline encoding is a lossy compressed representation of a list of coordinate pairs or coordinate triples. The encoding is achieved by: (1) Reducing the decimal digits of each value; (2) encoding only the offset from the previous point; (3) using variable length for each coordinate delta; and (4) using 64 URL-safe characters to display the result.
Author: Merlin Unterfinger [aut, cre] (<https://orcid.org/0000-0003-2020-2366>), HERE Europe B.V. [aut, cph] (Flexible polyline encoding C++ implementation)
Maintainer: Merlin Unterfinger <info@munterfinger.ch>

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New package EMpeaksR with initial version 0.1.0
Package: EMpeaksR
Title: Conducting the Peak Fitting Based on the EM Algorithm
Version: 0.1.0
Authors@R: person("Tarojiro", "Matsumura", role = c("aut", "cre"), email = "matsumura-tarojiro@aist.go.jp")
Description: The peak fitting of spectral data is performed by using the frame work of EM algorithm. We adapted the EM algorithm for the peak fitting of spectral data set by considering the weight of the intensity corresponding to the measurement energy steps (Matsumura, T., Nagamura, N., Akaho, S., Nagata, K., & Ando, Y. (2019) <doi:10.1080/14686996.2019.1620123>). The package efficiently estimates the parameters of Gaussian mixture model during iterative calculation between E-step and M-step, and the parameters are converged to a local optimal solution. This package can support the investigation of peak shift with two advantages: (1) a large amount of data can be processed at high speed; and (2) stable and automatic calculation can be easily performed.
License: MIT + file LICENSE
Language: en-US
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2021-04-20 12:59:10 UTC; tarojiro.matsumura
Author: Tarojiro Matsumura [aut, cre]
Maintainer: Tarojiro Matsumura <matsumura-tarojiro@aist.go.jp>
Repository: CRAN
Date/Publication: 2021-04-20 13:50:05 UTC

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Package seagull updated to version 1.1.0 with previous version 1.0.6 dated 2020-03-25

Title: Lasso, Group Lasso, and Sparse-Group Lasso for Mixed Models
Description: Proximal gradient descent solver for the operators lasso, (fitted) group lasso, and (fitted) sparse-group lasso. The implementation involves backtracking line search and warm starts. Input data needs to be clustered/ grouped for each group lasso variant before calling these algorithms.
Author: Jan Klosa [aut, cre], Noah Simon [ths], Dörte Wittenburg [ths]
Maintainer: Jan Klosa <klosa@fbn-dummerstorf.de>

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Package R2BEAT updated to version 1.0.2-1 with previous version 1.0.2 dated 2021-01-11

Title: Multistage Sampling Allocation and PSU Selection
Description: Multivariate optimal allocation for different domains in one and two stages stratified sample design.R2BEAT extends the Neyman (1934) – Tschuprow (1923) allocation method to the case of several variables, adopting a generalization of the Bethel’s proposal (1989). R2BEAT develops this methodology but, moreover, it allows to determine the sample allocation in the multivariate and multi-domains case of estimates for two-stage stratified samples. It also allows to perform Primary Stage Units selection. This package requires the availability of ReGenesees, that can be installed from <https://github.com/DiegoZardetto/ReGenesees>.
Author: Andrea Fasulo,Giulio Barcaroli,Raffaella Cianchetta,Stefano Falorsi,Alessio Guandalini,Daniela Pagliuca,Marco Dionisio Terribili
Maintainer: Andrea Fasulo <fasulo@istat.it>

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Package qicharts updated to version 0.5.8 with previous version 0.5.5 dated 2017-08-28

Title: Quality Improvement Charts
Description: Functions for making run charts [Anhoej, Olesen (2014) <doi:10.1371/journal.pone.0113825>] and basic Shewhart control charts [Mohammed, Worthington, Woodall (2008) <doi:10.1136/qshc.2004.012047>] for measure and count data. The main function, qic(), creates run and control charts and has a simple interface with a rich set of options to control data analysis and plotting, including options for automatic data aggregation by subgroups, easy analysis of before-and-after data, exclusion of one or more data points from analysis, and splitting charts into sequential time periods. Missing values and empty subgroups are handled gracefully.
Author: Jacob Anhoej [aut, cre], Timo Roeder [ctb]
Maintainer: Jacob Anhoej <jacob@anhoej.net>

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Package maptiles updated to version 0.1.2 with previous version 0.1.1 dated 2020-11-20

Title: Download and Display Map Tiles
Description: To create maps from tiles, 'maptiles' downloads, composes and displays tiles from a large number of providers (e.g. 'OpenStreetMap', 'Stamen', 'Esri', 'CARTO', or 'Thunderforest').
Author: Timothée Giraud [cre, aut] (<https://orcid.org/0000-0002-1932-3323>), Diego Hernangómez [ctb] (<https://orcid.org/0000-0001-8457-4658>), Robert J. Hijmans [ctb] (<https://orcid.org/0000-0001-5872-2872>)
Maintainer: Timothée Giraud <timothee.giraud@cnrs.fr>

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Package linbin updated to version 0.1.3 with previous version 0.1.2 dated 2017-03-14

Title: Binning and Plotting of Linearly Referenced Data
Description: Short for 'linear binning', the linbin package provides functions for manipulating, binning, and plotting linearly referenced data. Although developed for data collected on river networks, it can be used with any interval or point data referenced to a 1-dimensional coordinate system. Flexible bin generation and batch processing makes it easy to compute and visualize variables at multiple scales, useful for identifying patterns within and between variables and investigating the influence of scale of observation on data interpretation.
Author: Ethan Z. Welty [aut, cre], Christian E. Torgersen [ctb] (author support and guidance), Samuel J. Brenkman [ctb] (elwha and quinault datasets), Jeffrey J. Duda [ctb] (elwha dataset), Jonathan B. Armstrong [ctb] (fishmotion dataset)
Maintainer: Ethan Z. Welty <ethan.welty+linbin@gmail.com>

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Package ijtiff updated to version 2.2.6 with previous version 2.2.5 dated 2021-01-14

Title: Comprehensive TIFF I/O with Full Support for 'ImageJ' TIFF Files
Description: General purpose TIFF file I/O for R users. Currently the only such package with read and write support for TIFF files with floating point (real-numbered) pixels, and the only package that can correctly import TIFF files that were saved from 'ImageJ' and write TIFF files than can be correctly read by 'ImageJ' <https://imagej.nih.gov/ij/>. Also supports text image I/O.
Author: Rory Nolan [aut, cre] (<https://orcid.org/0000-0002-5239-4043>), Kent Johnson [aut], Simon Urbanek [ctb], Sergi Padilla-Parra [ths] (<https://orcid.org/0000-0002-8010-9481>), Jeroen Ooms [rev, ctb] (<https://orcid.org/0000-0002-4035-0289>), Jon Clayden [rev] (<https://orcid.org/0000-0002-6608-0619>)
Maintainer: Rory Nolan <rorynoolan@gmail.com>

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Package synoptReg updated to version 1.2.0 with previous version 1.1.0 dated 2020-11-20

Title: Synoptic Climate Classification and Spatial Regionalization of Environmental Data
Description: Set of functions to compute different types of synoptic classification methods and for analysing their effect on environmental variables. More information about the methods used in Lemus-Canovas et al. 2019 <DOI:10.1016/j.atmosres.2019.01.018>, Martin-Vide et al. 2008 <DOI:10.5194/asr-2-99-2008>, Jenkinson and Collison 1977.
Author: Marc Lemus-Canovas [aut, cre] (<https://orcid.org/0000-0002-0925-3827>), Dominic Roye [ctb] (<https://orcid.org/0000-0002-5516-6396>)
Maintainer: Marc Lemus-Canovas <mlemus@ub.edu>

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Package GE updated to version 0.1.8 with previous version 0.1.6 dated 2020-11-25

Title: General Equilibrium Modeling
Description: Some tools for developing general equilibrium models and some general equilibrium models. These models can be used for teaching economic theory and are built by the methods of new structural economics (see <https://www.nse.pku.edu.cn/> and LI Wu, 2019, ISBN: 9787521804225, General Equilibrium and Structural Dynamics: Perspectives of New Structural Economics. Beijing: Economic Science Press). The model form and mathematical methods can be traced back to von Neumann, J. (1945, A Model of General Economic Equilibrium. The Review of Economic Studies, 13. pp. 1-9) and Kemeny, J. G., O. Morgenstern and G. L. Thompson (1956, A Generalization of the von Neumann Model of an Expanding Economy, Econometrica, 24, pp. 115-135) et al. By the way, J. G. Kemeny is a co-inventor of the computer language BASIC.
Author: LI Wu <liwu@staff.shu.edu.cn>
Maintainer: LI Wu <liwu@staff.shu.edu.cn>

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Package dendsort updated to version 0.3.4 with previous version 0.3.3 dated 2015-12-14

Title: Modular Leaf Ordering Methods for Dendrogram Nodes
Description: An implementation of functions to optimize ordering of nodes in a dendrogram, without affecting the meaning of the dendrogram. A dendrogram can be sorted based on the average distance of subtrees, or based on the smallest distance value. These sorting methods improve readability and interpretability of tree structure, especially for tasks such as comparison of different distance measures or linkage types and identification of tight clusters and outliers. As a result, it also introduces more meaningful reordering for a coupled heatmap visualization. This method is described in "dendsort: modular leaf ordering methods for dendrogram representations in R", F1000Research 2014, 3: 177 <doi:10.12688/f1000research.4784.1>.
Author: Ryo Sakai [aut], Evan Biederstedt [cre, aut]
Maintainer: Evan Biederstedt <evan.biederstedt@gmail.com>

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Package wiesbaden updated to version 1.2.4 with previous version 1.2.3 dated 2020-06-18

Title: Access Databases from the Federal Statistical Office of Germany
Description: Retrieve and import data from different databases of the Federal Statistical Office of Germany (DESTATIS) using their SOAP XML web service <https://www-genesis.destatis.de/>.
Author: Moritz Marbach <moritz.marbach@tamu.edu> [aut, cre]
Maintainer: Moritz Marbach <moritz.marbach@tamu.edu>

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New package staRdom with initial version 1.1.21
Package: staRdom
Title: PARAFAC Analysis of EEMs from DOM
Version: 1.1.21
Date: 2021-04-17
Authors@R: c(person("Matthias", "Pucher", email = "matthias.pucher@wcl.ac.at", role = c("aut", "cre")), person("Daniel", "Graeber", email = "daniel.graeber@ufz.de", role = c("aut", "ctb")), person("Stefan", "Preiner", email = "stefan.preiner@boku.ac.at", role = c("ctb")), person("Renata", "Pinto", email = "renatamspinto@sapo.pt", role = c("ctb")))
Depends: R (>= 4.0), ggplot2 (>= 3.3.2), eemR (>= 1.0.1), parallel (>= 4.0)
Description: This is a user-friendly way to run a parallel factor (PARAFAC) analysis (Harshman, 1971) <doi:10.1121/1.1977523> on excitation emission matrix (EEM) data from dissolved organic matter (DOM) samples (Murphy et al., 2013) <doi:10.1039/c3ay41160e>. The analysis includes profound methods for model validation. Some additional functions allow the calculation of absorbance slope parameters and create beautiful plots.
License: AGPL
Encoding: UTF-8
LazyData: true
Imports: dplyr (>= 1.0.5), tidyr (>= 1.1.2), stringr (>= 1.4.0), pracma (>= 2.3.3), zoo (>= 1.8-8), tibble (>= 3.1.0), multiway (>= 1.0-6), GGally (>= 2.0.0), graphics (>= 4.0), doParallel (>= 1.0.16), drc (>= 3.0-1), foreach (>= 1.5.1), data.table (>= 1.14.0), matrixStats (>= 0.57.0), MBA(>= 0.0-9), cdom(>= 0.1.0), R.matlab(>= 3.6.2), readr(>= 1.4.0), gtools(>= 3.8.2), httr(>= 1.4.2), askpass(>= 1.1)
Suggests: plotly, xlsx, knitr, kableExtra, rmarkdown
VignetteBuilder: knitr
URL: https://cran.r-project.org/package=staRdom
BugReports: https://github.com/MatthiasPucher/staRdom/issues
NeedsCompilation: no
Packaged: 2021-04-19 07:34:27 UTC; matthias
Author: Matthias Pucher [aut, cre], Daniel Graeber [aut, ctb], Stefan Preiner [ctb], Renata Pinto [ctb]
Maintainer: Matthias Pucher <matthias.pucher@wcl.ac.at>
Repository: CRAN
Date/Publication: 2021-04-20 11:00:03 UTC

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Package LA updated to version 0.1.1 with previous version 0.1.0 dated 2021-04-15

Title: Lioness Algorithm (LA)
Description: Contains Lioness Algorithm (LA) for finding optimal designs over continuous design space, optimal Latin hypercube designs, and optimal order-of-addition designs. LA is a brand new nature-inspired meta-heuristic optimization algorithm. Detailed methodologies of LA and its implementation on numerical simulations can be found at Hongzhi Wang, Qian Xiao and Abhyuday Mandal (2021) <arXiv:2010.09154>.
Author: Hongzhi Wang [aut, cre], Qian Xiao [aut], Abhyuday Mandal [aut]
Maintainer: Hongzhi Wang <hw34508@uga.edu>

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Package ggTimeSeries (with last version 1.0.1) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2018-09-03 1.0.1

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Package compendiumdb (with last version 1.0.3) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2015-10-12 1.0.3
2015-10-03 1.0.2
2015-06-15 1.0.1
2015-04-16 1.0.0
2014-08-29 0.1.0

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Package countyweather (with last version 0.1.0) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2016-10-25 0.1.0

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Package TreeTools updated to version 1.4.4 with previous version 1.4.3 dated 2021-04-12

Title: Create, Modify and Analyse Phylogenetic Trees
Description: Efficient implementations of functions for the creation, modification and analysis of phylogenetic trees. Applications include: generation of trees with specified shapes; analysis of tree shape; rooting of trees and extraction of subtrees; calculation and depiction of node support; calculation of ancestor-descendant relationships; import and export of trees from Newick, Nexus (Maddison et al. 1997) <doi:10.1093/sysbio/46.4.590>, and TNT <http://www.lillo.org.ar/phylogeny/tnt/> formats; and analysis of splits and cladistic information.
Author: Martin R. Smith [aut, cre, cph] (<https://orcid.org/0000-0001-5660-1727>), Emmanuel Paradis [cph] (<https://orcid.org/0000-0003-3092-2199>)
Maintainer: Martin R. Smith <martin.smith@durham.ac.uk>

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Package tosca updated to version 0.3-1 with previous version 0.2-0 dated 2020-03-10

Title: Tools for Statistical Content Analysis
Description: A framework for statistical analysis in content analysis. In addition to a pipeline for preprocessing text corpora and linking to the latent Dirichlet allocation from the 'lda' package, plots are offered for the descriptive analysis of text corpora and topic models. In addition, an implementation of Chang's intruder words and intruder topics is provided. Sample data for the vignette is included in the toscaData package, which is available on gitHub: <https://github.com/Docma-TU/toscaData>.
Author: Lars Koppers [aut, cre] (<https://orcid.org/0000-0002-1642-9616>), Jonas Rieger [aut] (<https://orcid.org/0000-0002-0007-4478>), Karin Boczek [ctb] (<https://orcid.org/0000-0003-1516-4094>), Gerret von Nordheim [ctb] (<https://orcid.org/0000-0001-7553-3838>)
Maintainer: Lars Koppers <koppers@statistik.tu-dortmund.de>

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Package tidySEM updated to version 0.1.9 with previous version 0.1.8 dated 2021-03-13

Title: Tidy Structural Equation Modeling
Description: A tidy workflow for generating, estimating, reporting, and plotting structural equation models using 'lavaan' or 'Mplus'. Throughout this workflow, elements of syntax, results, and graphs are represented as 'tidy' data, making them easy to customize.
Author: Caspar J. van Lissa [aut, cre] (<https://orcid.org/0000-0002-0808-5024>)
Maintainer: Caspar J. van Lissa <c.j.vanlissa@uu.nl>

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Package spatstat.local updated to version 4.1-1 with previous version 4.1-0 dated 2021-03-31

Title: Extension to 'spatstat' for Local Composite Likelihood
Description: Extension to the 'spatstat' package, enabling the user to fit point process models to point pattern data by local composite likelihood ('geographically weighted regression').
Author: Adrian Baddeley [aut, cre]
Maintainer: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>

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Package modelStudio updated to version 2.1.2 with previous version 2.1.1 dated 2021-01-07

Title: Interactive Studio for Explanatory Model Analysis
Description: Automate the explanatory analysis of machine learning predictive models. Generate advanced interactive model explanations in the form of a serverless HTML site with only one line of code. This tool is model agnostic, therefore compatible with most of the black box predictive models and frameworks. The main function computes various (instance and dataset level) model explanations and produces a customisable dashboard, which consists of multiple panels for plots with their short descriptions. Easily save the dashboard and share it with others. Tools for Explanatory Model Analysis unite with tools for Exploratory Data Analysis to give a broad overview of the model behavior.
Author: Hubert Baniecki [aut, cre] (<https://orcid.org/0000-0001-6661-5364>), Przemyslaw Biecek [aut] (<https://orcid.org/0000-0001-8423-1823>), Piotr Piatyszek [ctb]
Maintainer: Hubert Baniecki <hbaniecki@gmail.com>

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Package mappoly updated to version 0.2.3 with previous version 0.2.1 dated 2020-11-23

Title: Genetic Linkage Maps in Autopolyploids
Description: Construction of genetic maps in autopolyploid full-sib populations. Uses pairwise recombination fraction estimation as the first source of information to sequentially position allelic variants in specific homologues. For situations where pairwise analysis has limited power, the algorithm relies on the multilocus likelihood obtained through a hidden Markov model (HMM). For more detail, please see Mollinari and Garcia (2019) <doi:10.1534/g3.119.400378> and Mollinari et al. (2020) <doi:10.1534/g3.119.400620>.
Author: Marcelo Mollinari [aut, cre] (<https://orcid.org/0000-0002-7001-8498>), Gabriel Gesteira [aut] (<https://orcid.org/0000-0002-4106-7346>), Guilhereme Pereira [ctb] (<https://orcid.org/0000-0002-7106-8630>), Augusto Garcia [ctb] (<https://orcid.org/0000-0003-0634-3277>), Zhao-Bang Zeng [ctb] (<https://orcid.org/0000-0002-3115-1149>), Katharine Preedy [ctb, cph] (MDS ordering algorithm), Robert Gentleman [cph] (C code for MLE optimization in src/pairwise_estimation.cpp), Ross Ihaka [cph] (C code for MLE optimization in src/pairwise_estimation.cpp), R Foundation [cph] (C code for MLE optimization in src/pairwise_estimation.cpp), R-core [cph] (C code for MLE optimization in src/pairwise_estimation.cpp)
Maintainer: Marcelo Mollinari <mmollin@ncsu.edu>

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Package IPLGP updated to version 1.1.0 with previous version 0.1.0 dated 2021-02-17

Title: Identification of Parental Lines via Genomic Prediction
Description: Combining genomic prediction with Monte Carlo simulation, three different strategies are implemented to select parental lines for multiple traits in plant breeding. The selection strategies include (i) GEBV-O considers only genomic estimated breeding values (GEBVs) of the candidate individuals; (ii) GD-O considers only genomic diversity (GD) of the candidate individuals; and (iii) GEBV-GD considers both GEBV and GD. The above method can be seen in Chung PY, Liao CT (2020) <doi:10.1371/journal.pone.0243159>. Multi-trait genomic best linear unbiased prediction (MT-GBLUP) model is used to simultaneously estimate GEBVs of the target traits, and then a selection index is adopted to evaluate the composite performance of an individual.
Author: Ping-Yuan Chung [cre], Chen-Tuo Liao [aut]
Maintainer: Ping-Yuan Chung <r06621204@ntu.edu.tw>

Diff between IPLGP versions 0.1.0 dated 2021-02-17 and 1.1.0 dated 2021-04-20

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Package esquisse updated to version 1.0.1 with previous version 1.0.0 dated 2021-04-12

Title: Explore and Visualize Your Data Interactively
Description: A 'shiny' gadget to create 'ggplot2' figures interactively with drag-and-drop to map your variables to different aesthetics. You can quickly visualize your data accordingly to their type, export in various formats, and retrieve the code to reproduce the plot.
Author: Fanny Meyer [aut], Victor Perrier [aut, cre], Ian Carroll [ctb] (Faceting support), Xiangnan Dang [ctb] (Facets rows and cols, X/Y limits)
Maintainer: Victor Perrier <victor.perrier@dreamrs.fr>

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Package emojifont updated to version 0.5.5 with previous version 0.5.3 dated 2019-12-12

Title: Emoji and Font Awesome in Graphics
Description: An implementation of using emoji and fontawesome for using in both base and 'ggplot2' graphics.
Author: Guangchuang Yu [aut, cre] (<https://orcid.org/0000-0002-6485-8781>), Claus Thorn Ekstrøm [ctb]
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>

Diff between emojifont versions 0.5.3 dated 2019-12-12 and 0.5.5 dated 2021-04-20

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Package diveMove updated to version 1.5.4 with previous version 1.5.3 dated 2021-02-26

Title: Dive Analysis and Calibration
Description: Utilities to represent, visualize, filter, analyse, and summarize time-depth recorder (TDR) data. Miscellaneous functions for handling location data are also provided.
Author: Sebastian P. Luque <spluque@gmail.com>
Maintainer: Sebastian P. Luque <spluque@gmail.com>

Diff between diveMove versions 1.5.3 dated 2021-02-26 and 1.5.4 dated 2021-04-20

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Package datamods updated to version 1.1.4 with previous version 1.1.3 dated 2021-04-13

Title: Modules to Import and Manipulate Data in 'Shiny'
Description: 'Shiny' modules to import data into an application or 'addin' from various sources, and to manipulate them after that.
Author: Victor Perrier [aut, cre, cph], Fanny Meyer [aut], Zauad Shahreer Abeer [aut]
Maintainer: Victor Perrier <victor.perrier@dreamrs.fr>

Diff between datamods versions 1.1.3 dated 2021-04-13 and 1.1.4 dated 2021-04-20

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Package circacompare updated to version 0.1.1 with previous version 0.1.0 dated 2021-02-08

Title: Analyses of Circadian Data
Description: Uses non-linear regression to statistically compare two circadian rhythms. Groups are only compared if both are rhythmic (amplitude is non-zero). Performs analyses regarding mesor, phase, and amplitude, reporting on estimates and statistical differences, for each, between groups. Details can be found in Parsons et al (2020) <doi:10.1093/bioinformatics/btz730>.
Author: Rex Parsons [aut, cre] (<https://orcid.org/0000-0002-6053-8174>)
Maintainer: Rex Parsons <Rex.Parsons94@gmail.com>

Diff between circacompare versions 0.1.0 dated 2021-02-08 and 0.1.1 dated 2021-04-20

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New package GFDsurv with initial version 0.0.2
Package: GFDsurv
Title: Tests for Survival Data in General Factorial Designs
Version: 0.0.2
Authors@R: c(person(given = "Marc", family = "Ditzhaus", role = c("aut")), person(given = "Dennis", family = "Dobler", role = "aut"), person(given = "Markus", family = "Pauly", role = "aut"), person(given = "Philipp", family = "Steinhauer", role = c("aut","cre"), email = "philipp.steinhauer@tu-dortmund.de"))
URL: https://github.com/PhilippSteinhauer/GFDsurv
Description: Implemented are three Wald-type statistic and respective permuted versions for null hypotheses formulated in terms of cumulative hazard rate functions, medians and the concordance measure, respectively, in the general framework of survival factorial designs with possibly heterogeneous survival and/or censoring distributions, for crossed designs with an arbitrary number of factors and nested designs with up to three factors. Ditzhaus, Dobler and Pauly (2020) <doi:10.1177/0962280220980784> Ditzhaus, Janssen, Pauly (2020) <arXiv: 2004.10818v2> Dobler and Pauly (2019) <doi:10.1177/0962280219831316>.
License: GPL (>= 3)
Imports: gridExtra (>= 2.3), shiny (>= 1.5.0), shinyWidgets (>= 0.5.4), shinyjs (>= 2.0.0), shinythemes (>= 1.1.2), survival (>= 3.2-7), survminer (>= 0.4.8), tippy (>= 0.1.0), magic (>= 1.5-9), MASS (>= 7.3-53), plyr (>= 1.8.6), stats
Encoding: UTF-8
Suggests: condSURV
NeedsCompilation: no
Packaged: 2021-04-19 18:51:07 UTC; stein
Author: Marc Ditzhaus [aut], Dennis Dobler [aut], Markus Pauly [aut], Philipp Steinhauer [aut, cre]
Maintainer: Philipp Steinhauer <philipp.steinhauer@tu-dortmund.de>
Repository: CRAN
Date/Publication: 2021-04-20 08:20:02 UTC

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New package visa with initial version 0.1.0
Package: visa
Title: Vegetation Imaging Spectroscopy Analyzer
Version: 0.1.0
Authors@R: person("Kang", "Yu", email = "kang.yu@outlook.com", role = c("aut", "cre"))
Description: Provides easy-to-use tools for data analysis and visualization for hyperspectral remote sensing (also known as imaging spectroscopy), with a particular focus on vegetation hyperspectral data analysis. It consists of a set of functions, ranging from the organization of hyperspectral data in the proper data structure for spectral feature selection, calculation of vegetation index, multivariate analysis, as well as to the visualization of spectra and results of analysis in the 'ggplot2' style.
License: GPL-3
LazyData: true
Encoding: UTF-8
URL: https://github.com/kang-yu/visa
BugReports: https://github.com/kang-yu/visa/issues
Depends: R (>= 3.1.0)
Imports: ggplot2, ggpmisc, methods, Matrix, reshape2, RColorBrewer
Suggests: devtools, testthat, flux, knitr, rmarkdown, stringi
VignetteBuilder: knitr
Collate: 'visa.R' 'Spectra-class.R' 'cm.nsr.R' 'cm.sr.R' 'data-specdb.R' 'data-specdf.R' 'ggplot-method.R' 'ggplot.lmfit.R' 'ggspectra.R' 'ndvi2.R' 'spectra.R' 'sr.R' 'wavelength.R'
NeedsCompilation: no
Packaged: 2021-04-19 10:48:33 UTC; Kang Yu
Author: Kang Yu [aut, cre]
Maintainer: Kang Yu <kang.yu@outlook.com>
Repository: CRAN
Date/Publication: 2021-04-20 07:20:02 UTC

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New package siconfir with initial version 1.0.5
Package: siconfir
Title: Quick and Easy Access Tax and Accounting Data of Brazil
Version: 1.0.5
Authors@R: c(person(given="Pedro", family="Castro", email = "pdesacastro@gmail.com", role = c("aut", "cre")))
Description: Access tax and accounting data of Brazilian states and municipalities provided by the Brazilian Public Sector Accounting and Tax Information System.
License: MIT + file LICENSE
URL: https://github.com/pedrocastroo/siconfir
BugReports: https://github.com/pedrocastroo/siconfir/issues
Encoding: UTF-8
LazyData: true
Language: en-US
Imports: httr, tidyr, tibble, dplyr, magrittr, purrr, utils
Depends: R (>= 3.2)
NeedsCompilation: no
Packaged: 2021-04-19 11:30:44 UTC; pedro
Author: Pedro Castro [aut, cre]
Maintainer: Pedro Castro <pdesacastro@gmail.com>
Repository: CRAN
Date/Publication: 2021-04-20 07:20:06 UTC

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New package moodleR with initial version 0.3.2
Package: moodleR
Title: Helper Functions to Work with 'Moodle' Data
Version: 0.3.2
Authors@R: c(person(given = "Aleksander", family = "Dietrichson", role = c("aut", "cre"), email = "dietrichson@gmail.com"), person(given = "Chi Square Laboratories", role = "cph"), person(given = "Darko", family = "Miletic", role = "ctb"), person(given = "Pablo", family = "Pagnone", role = "ctb"))
Maintainer: Aleksander Dietrichson <dietrichson@gmail.com>
Description: A collection of functions to connect to a 'Moodle' database, cache relevant tables locally and generate learning analytics. 'Moodle' is an open source Learning Management System (LMS) developed by MoodleHQ. For more information about Moodle, visit <https://moodle.org>.
License: MIT + file LICENSE
URL: https://github.com/chi2labs/moodleR, https://chi2labs.github.io/moodleR/
Encoding: UTF-8
VignetteBuilder: knitr
Suggests: knitr, rmarkdown, prettyunits, lubridate, testthat
Imports: DBI, dplyr, ggplot2, tidytext, ggwordcloud, utils, stringr, rlang, scales, RMariaDB, glue, config, anytime, here, cli, lifecycle, RSQLite
RdMacros: lifecycle
NeedsCompilation: no
Packaged: 2021-04-19 23:02:00 UTC; sasha
Author: Aleksander Dietrichson [aut, cre], Chi Square Laboratories [cph], Darko Miletic [ctb], Pablo Pagnone [ctb]
Repository: CRAN
Date/Publication: 2021-04-20 07:50:02 UTC

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New package mobirep with initial version 0.2.2
Package: mobirep
Title: Models Bivariate Dependence and Produces Bivariate Return Periods
Version: 0.2.2
Authors@R: person(given = "Alois", family = "Tilloy", role = c("aut", "cre"), email = "alois.tilloy@kcl.ac.uk", comment = c(ORCID = "https://orcid.org/0000-0002-5881-0642"))
Description: Models the dependence between two variables in the extremes, select most relevant models, estimate bivariate return periods and create bivariate level curves. Methods used in the package are described in the following reference: Tilloy, Malamud, Winter and Joly-Laugel (2020) <doi:10.5194/nhess-20-2091-2020> Supporting references for the conditional extremes model, Jt-KDE model and for copula modelling are the following: Heffernan and Tawn (2004) <doi:10.1111/j.1467-9868.2004.02050.x> Cooley, Thibaud, Castillo and Wehner (2019) <doi:10.1007/s10687-019-00348-0> Nelsen (2006) <doi:10.1007/0-387-28678-0>.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: True
Depends: R (>= 3.5.0), texmex
Imports: stats, copBasic, grDevices, ks, lattice, SpatialExtremes, zoo, copula, ggplot2, viridis,
Suggests: knitr, testthat, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-04-19 15:05:40 UTC; Alois
Author: Alois Tilloy [aut, cre] (<https://orcid.org/0000-0002-5881-0642>)
Maintainer: Alois Tilloy <alois.tilloy@kcl.ac.uk>
Repository: CRAN
Date/Publication: 2021-04-20 07:40:02 UTC

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New package HDBRR with initial version 0.1.8
Package: HDBRR
Title: High Dimensional Bayesian Ridge Regression without MCMC
Version: 0.1.8
Authors@R: c(person("Sergio Perez-Elizalde", "Developer", role = "aut"), person("Blanca Monroy-Castillo", "Developer", role = c("aut","cre"), email = "blancamonroy.96@gmail.com"), person("Paulino Perez-Rodriguez", "User", role = "ctb"))
Description: The svd(singular value decomposition) or qr decomposition was using for the implementation, this avoid the recursion optimizing the time in the compute <https://drive.google.com/drive/folders/1xJw7gM5_XiJipQ3grTZkfc6q4K0hzuCx?usp=sharing>.
License: GPL (>= 2)
Encoding: UTF-8
Imports: numDeriv, parallel, bigstatsr, MASS
NeedsCompilation: no
Packaged: 2021-04-19 22:01:33 UTC; monroy
Author: Sergio Perez-Elizalde Developer [aut], Blanca Monroy-Castillo Developer [aut, cre], Paulino Perez-Rodriguez User [ctb]
Maintainer: Blanca Monroy-Castillo Developer <blancamonroy.96@gmail.com>
Repository: CRAN
Date/Publication: 2021-04-20 07:50:05 UTC

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New package convdistr with initial version 1.5.3
Package: convdistr
Title: Convolute Probabilistic Distributions
Version: 1.5.3
Authors@R: person( "Aponte", "John", email = "john.j.aponte@gmail.com", role = c("aut","cre"), comment = c(ORCID = "0000-0002-3014-3673"))
Date: 2021-04-19
URL: https://github.com/johnaponte/convdistr
Description: Convolute probabilistic distributions using the random generator function of each distribution. A new random number generator function is created that perform the mathematical operation on the individual random samples from the random generator function of each distribution. See the documentation for examples.
License: GPL (>= 3)
Encoding: UTF-8
Suggests: spelling, testthat, knitr, rmarkdown
Imports: stats, graphics, pryr, extraDistr, dplyr, tidyr, ggplot2, RColorBrewer, SHELF, MASS, shiny
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: no
Packaged: 2021-04-19 12:55:46 UTC; apontej
Author: Aponte John [aut, cre] (<https://orcid.org/0000-0002-3014-3673>)
Maintainer: Aponte John <john.j.aponte@gmail.com>
Repository: CRAN
Date/Publication: 2021-04-20 07:30:02 UTC

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New package bumbl with initial version 1.0.0
Package: bumbl
Title: Tools for Modeling Bumblebee Colony Growth and Decline
Version: 1.0.0
Authors@R: c( person(given = c("Eric", "R."), family = "Scott", role = c("aut", "cre"), email = "scottericr@gmail.com", comment = c(ORCID = "0000-0002-7430-7879")), person(given = c("Elizabeth", "E."), family = "Crone", role = c("aut"), email = "elizabeth.crone@tufts.edu", comment = c(ORCID = "0000-0002-5287-221X")) )
Description: Bumblebee colonies grow during worker production, then decline after switching to production of reproductive individuals (drones and gynes). This package provides tools for modeling and visualizing this pattern by identifying a switchpoint with a growth rate before and a decline rate after the switchpoint. The mathematical models fit by bumbl are described in Crone and Williams (2016) <doi:10.1111/ele.12581>.
License: CC BY 4.0
Encoding: UTF-8
LazyData: true
URL: https://github.com/Aariq/bumbl
BugReports: https://github.com/Aariq/bumbl/issues
Depends: R (>= 3.0)
Suggests: testthat (>= 2.1.0), knitr, rmarkdown, covr, car, rsq
Imports: dplyr, rlang, tidyr (>= 1.0.0), purrr, broom, glue, MASS, ggplot2
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-04-19 13:24:55 UTC; scottericr
Author: Eric R. Scott [aut, cre] (<https://orcid.org/0000-0002-7430-7879>), Elizabeth E. Crone [aut] (<https://orcid.org/0000-0002-5287-221X>)
Maintainer: Eric R. Scott <scottericr@gmail.com>
Repository: CRAN
Date/Publication: 2021-04-20 07:30:05 UTC

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Package mcprofile updated to version 1.0-1 with previous version 1.0-0 dated 2020-06-04

Title: Testing Generalized Linear Hypotheses for Generalized Linear Model Parameters by Profile Deviance
Description: Calculation of signed root deviance profiles for linear combinations of parameters in a generalized linear model. Multiple tests and simultaneous confidence intervals are provided.
Author: Daniel Gerhard [aut, cre]
Maintainer: Daniel Gerhard <00gerhard@gmail.com>

Diff between mcprofile versions 1.0-0 dated 2020-06-04 and 1.0-1 dated 2021-04-20

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Package longpower updated to version 1.0.23 with previous version 1.0-21 dated 2020-04-21

Title: Sample Size Calculations for Longitudinal Data
Description: Compute power and sample size for linear models of longitudinal data. Supported models include mixed-effects models and models fit by generalized least squares and generalized estimating equations. Relevant formulas are derived by Liu and Liang (1997) <DOI:10.2307/2533554>, Diggle et al (2002) <ISBN:9780199676750>, and Lu, Luo, and Chen (2008) <DOI:10.2202/1557-4679.1098>.
Author: Michael C. Donohue [aut, cre], Steve D. Edland [ctb]
Maintainer: Michael C. Donohue <mdonohue@usc.edu>

Diff between longpower versions 1.0-21 dated 2020-04-21 and 1.0.23 dated 2021-04-20

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Package quantdr updated to version 1.2.0 with previous version 1.1.0 dated 2020-12-15

Title: Dimension Reduction Techniques for Conditional Quantiles
Description: An implementation of dimension reduction techniques for conditional quantiles. Nonparametric estimation of conditional quantiles is also available.
Author: Eliana Christou [aut, cre] (<https://orcid.org/0000-0001-5044-0969>)
Maintainer: Eliana Christou <echris15@uncc.edu>

Diff between quantdr versions 1.1.0 dated 2020-12-15 and 1.2.0 dated 2021-04-20

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Package languageserver updated to version 0.3.10 with previous version 0.3.9 dated 2020-12-18

Title: Language Server Protocol
Description: An implementation of the Language Server Protocol for R. The Language Server protocol is used by an editor client to integrate features like auto completion. See <https://microsoft.github.io/language-server-protocol/> for details.
Author: Randy Lai [aut, cre], Kun Ren [ctb]
Maintainer: Randy Lai <randy.cs.lai@gmail.com>

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Mon, 19 Apr 2021

Package MtreeRing updated to version 1.4.5 with previous version 1.4.4 dated 2021-03-15

Title: A Shiny Application for Automatic Measurements of Tree-Ring Widths on Digital Images
Description: Use morphological image processing and edge detection algorithms to automatically measure tree ring widths on digital images. Users can also manually mark tree rings on species with complex anatomical structures. The arcs of inner-rings and angles of successive inclined ring boundaries are used to correct ring-width series. The package provides a Shiny-based application, allowing R beginners to easily analyze tree ring images and export ring-width series in standard file formats.
Author: Jingning Shi [aut, cre], Wei Xiang [aut]
Maintainer: Jingning Shi <snow940220@bjfu.edu.cn>

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Package ctrdata updated to version 1.5.3 with previous version 1.5.2 dated 2021-04-06

Title: Retrieve and Analyze Clinical Trials in Public Registers
Description: Provides functions for querying, retrieving and analyzing protocol- and results-related information on clinical trials from two public registers, the 'European Union Clinical Trials Register' ('EUCTR', <https://www.clinicaltrialsregister.eu/>) and 'ClinicalTrials.gov' ('CTGOV', <https://clinicaltrials.gov/>). The trial information is transformed and stored in a database ('SQLite' or 'MongoDB', via 'nodbi'). Functions are provided to identify de- duplicated records, to easily find and extract variables (fields) of interest even from complex nesting as used by the registers, and to update previous queries that users retrieved in a database. The package can be used for meta analysis and trend-analysis of the design and conduct as well as results of clinical trials.
Author: Ralf Herold [aut, cre] (<https://orcid.org/0000-0002-8148-6748>)
Maintainer: Ralf Herold <ralf.herold@mailbox.org>

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Package BET updated to version 0.3.7 with previous version 0.3.6 dated 2021-04-09

Title: Binary Expansion Testing
Description: Nonparametric detection of nonuniformity and dependence with Binary Expansion Testing (BET). See Kai Zhang (2019) BET on Independence, Journal of the American Statistical Association, 114:528, 1620-1637, <DOI:10.1080/01621459.2018.1537921> and Zhigen Zhao, Michael Baiocchi, Kai Zhang. SorBET: A Fast and Powerful Algorithm to Test Dependence of Variables.
Author: Wan Zhang [aut, cre], Zhigen Zhao [aut], Michael Baiocchi [aut], Kai Zhang [aut]
Maintainer: Wan Zhang <wanz63@live.unc.edu>

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Package Anthropometry updated to version 1.15 with previous version 1.14 dated 2020-04-06

Title: Statistical Methods for Anthropometric Data
Description: Statistical methodologies especially developed to analyze anthropometric data. These methods are aimed at providing effective solutions to some commons problems related to Ergonomics and Anthropometry. They are based on clustering, the statistical concept of data depth, statistical shape analysis and archetypal analysis. Please see Vinue (2017) <doi:10.18637/jss.v077.i06>.
Author: Guillermo Vinue, Irene Epifanio, Amelia Simo, M. Victoria Ibanez, Juan Domingo, Guillermo Ayala
Maintainer: Guillermo Vinue <Guillermo.Vinue@uv.es>

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Package tidygeocoder updated to version 1.0.3 with previous version 1.0.2 dated 2021-01-18

Title: Geocoding Made Easy
Description: An intuitive interface for getting data from geocoder services.
Author: Jesse Cambon [aut, cre] (<https://orcid.org/0000-0001-6854-1514>), Diego Hernangómez [aut] (<https://orcid.org/0000-0001-8457-4658>), Christopher Belanger [aut], Daniel Possenriede [aut] (<https://orcid.org/0000-0002-6738-9845>)
Maintainer: Jesse Cambon <jesse.cambon@gmail.com>

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Package sentometrics updated to version 0.8.4 with previous version 0.8.3 dated 2021-02-17

Title: An Integrated Framework for Textual Sentiment Time Series Aggregation and Prediction
Description: Optimized prediction based on textual sentiment, accounting for the intrinsic challenge that sentiment can be computed and pooled across texts and time in various ways. See Ardia et al. (2020) <doi:10.2139/ssrn.3067734>.
Author: Samuel Borms [aut, cre] (<https://orcid.org/0000-0001-9533-1870>), David Ardia [aut] (<https://orcid.org/0000-0003-2823-782X>), Keven Bluteau [aut] (<https://orcid.org/0000-0003-2990-4807>), Kris Boudt [aut] (<https://orcid.org/0000-0002-1000-5142>), Jeroen Van Pelt [ctb], Andres Algaba [ctb]
Maintainer: Samuel Borms <borms_sam@hotmail.com>

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Package rliger updated to version 1.0.0 with previous version 0.5.0 dated 2021-01-25

Title: Linked Inference of Genomic Experimental Relationships
Description: Uses an extension of nonnegative matrix factorization to identify shared and dataset-specific factors. See Welch J, Kozareva V, et al (2019) <doi:10.1016/j.cell.2019.05.006>, and Liu J, Gao C, Sodicoff J, et al (2020) <doi:10.1038/s41596-020-0391-8> for more details.
Author: Joshua Welch [aut, ctb], Chao Gao [aut, ctb, cre], Jialin Liu [aut, ctb], Joshua Sodicoff [aut, ctb], Velina Kozareva [aut, ctb], Evan Macosko [aut, ctb], Paul Hoffman [ctb], Ilya Korsunsky [ctb], Robert Lee [ctb]
Maintainer: Chao Gao <gchao@umich.edu>

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Package modelsummary updated to version 0.7.0 with previous version 0.6.6 dated 2021-02-16

Title: Summary Tables and Plots for Statistical Models and Data: Beautiful, Customizable, and Publication-Ready
Description: Create beautiful and customizable tables to summarize several statistical models side-by-side. Draw coefficient plots, multi-level cross-tabs, dataset summaries, balance tables (a.k.a. "Table 1s"), and correlation matrices. This package supports dozens of statistical models, and it can produce tables in HTML, LaTeX, Word, Markdown, PDF, PowerPoint, Excel, RTF, JPG, or PNG. Tables can easily be embedded in 'Rmarkdown' or 'knitr' dynamic documents.
Author: Vincent Arel-Bundock [aut, cre] (<https://orcid.org/0000-0003-2042-7063>), Joachim Gassen [ctb] (<https://orcid.org/0000-0003-4364-2911>), Nick Huntington-Klein [ctb] (<https://orcid.org/0000-0002-7352-3991>)
Maintainer: Vincent Arel-Bundock <vincent.arel-bundock@umontreal.ca>

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Package cSEM updated to version 0.4.0 with previous version 0.3.1 dated 2021-02-14

Title: Composite-Based Structural Equation Modeling
Description: Estimate, assess, test, and study linear, nonlinear, hierarchical and multigroup structural equation models using composite-based approaches and procedures, including estimation techniques such as partial least squares path modeling (PLS-PM) and its derivatives (PLSc, ordPLSc, robustPLSc), generalized structured component analysis (GSCA), generalized structured component analysis with uniqueness terms (GSCAm), generalized canonical correlation analysis (GCCA), principal component analysis (PCA), factor score regression (FSR) using sum score, regression or bartlett scores (including bias correction using Croon’s approach), as well as several tests and typical postestimation procedures (e.g., verify admissibility of the estimates, assess the model fit, test the model fit etc.).
Author: Manuel E. Rademaker [aut, cre] (<https://orcid.org/0000-0002-8902-3561>), Florian Schuberth [aut] (<https://orcid.org/0000-0002-2110-9086>), Tamara Schamberger [ctb] (<https://orcid.org/0000-0002-7845-784X>), Michael Klesel [ctb] (<https://orcid.org/0000-0002-2884-1819>), Theo K. Dijkstra [ctb], Jörg Henseler [ctb] (<https://orcid.org/0000-0002-9736-3048>)
Maintainer: Manuel E. Rademaker <manuel.rademaker@uni-wuerzburg.de>

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Package asteRisk updated to version 0.99.4 with previous version 0.99.1 dated 2021-03-23

Title: Computation of Satellite Position
Description: Provides basic functionalities to calculate the position of satellites given a known state vector. The package includes implementations of the SGP4 and SDP4 simplified perturbation models to propagate orbital state vectors, as well as utilities to read TLE files and convert coordinates between different frames of reference. Felix R. Hoots, Ronald L. Roehrich and T.S. Kelso (1988) <https://celestrak.com/NORAD/documentation/spacetrk.pdf>. David Vallado, Paul Crawford, Richard Hujsak and T.S. Kelso (2012) <doi:10.2514/6.2006-6753>. Felix R. Hoots, Paul W. Schumacher Jr. and Robert A. Glover (2014) <doi:10.2514/1.9161>.
Author: Rafael Ayala [aut, cre] (<https://orcid.org/0000-0002-9332-4623>), Daniel Ayala [aut] (<https://orcid.org/0000-0003-2095-1009>), Lara Selles Vidal [aut] (<https://orcid.org/0000-0003-2537-6824>)
Maintainer: Rafael Ayala <rafael.ayala@oist.jp>

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Package SwimmeR updated to version 0.9.0 with previous version 0.8.0 dated 2021-03-20

Title: Data Import, Cleaning, and Conversions for Swimming Results
Description: The goal for of the 'SwimmeR' package is to provide means of acquiring, and then analyzing, data from swimming (and diving) competitions. To that end 'SwimmeR' allows results to be read in from .html sources, like 'Hy-Tek' real time results pages, '.pdf' files, 'ISL' results, and (on a development basis) '.hy3' files. Once read in, 'SwimmeR' can convert swimming times (performances) between the computationally useful format of seconds reported to the '100ths' place (e.g. 95.37), and the conventional reporting format (1:35.37) used in the swimming community. 'SwimmeR' can also score meets in a variety of formats with user defined point values, convert times between courses ('LCM', 'SCM', 'SCY') and draw single elimination brackets, as well as providing a suite of tools for working cleaning swimming data. This is a developmental package, not yet mature.
Author: Greg Pilgrim [aut, cre] (<https://orcid.org/0000-0001-7831-442X>), Caitlin Baldwin [ctb]
Maintainer: Greg Pilgrim <gpilgrim2670@gmail.com>

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Package speakr updated to version 3.1.0 with previous version 3.0.0 dated 2021-01-25

Title: A Wrapper for the Phonetic Software 'Praat'
Description: It allows running 'Praat' scripts from R and it provides some wrappers for basic plotting. It also adds support for literate markdown tangling. The package is designed to bring reproducible phonetic research into R.
Author: Stefano Coretta [aut, cre]
Maintainer: Stefano Coretta <stefano.coretta@gmail.com>

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Package tidydice updated to version 0.1.1 with previous version 0.0.6 dated 2020-01-09

Title: Simulates Dice Rolls and Coin Flips
Description: Utils for basic statistical experiments, that can be used for teaching introductory statistics. Each experiment generates a tibble. Dice rolls and coin flips are simulated using sample(). The properties of the dice can be changed, like the number of sides. A coin flip is simulated using a two sided dice. Experiments can be combined with the pipe-operator.
Author: Roland Krasser
Maintainer: Roland Krasser <roland.krasser@gmail.com>

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Package gwaRs updated to version 0.3.0 with previous version 0.2.0 dated 2021-01-25

Title: Manhattan, Q-Q, and PCA Plots using 'ggplot2'
Description: Generate Manhattan, Q-Q, and PCA plots from GWAS and PCA results using 'ggplot2'.
Author: Lindokuhle Nkambule [aut, cre] (<https://orcid.org/0000-0002-5682-2834>)
Maintainer: Lindokuhle Nkambule <lindonkambule116@gmail.com>

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Package exams.mylearn updated to version 1.4 with previous version 1.3 dated 2021-02-17

Title: Question Generation in the 'MyLearn' XML Format
Description: Randomized multiple-select and single-select question generation for the 'MyLearn' teaching and learning platform. Question templates in the form of the R/exams package (see <http://www.r-exams.org/>) are transformed into XML format required by 'MyLearn'.
Author: Darjus Hosszejni [aut, cre] (<https://orcid.org/0000-0002-3803-691X>)
Maintainer: Darjus Hosszejni <darjus.hosszejni@wu.ac.at>

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Package baytrends updated to version 2.0.4 with previous version 2.0.2 dated 2020-11-24

Title: Long Term Water Quality Trend Analysis
Description: Enable users to evaluate long-term trends using a Generalized Additive Modeling (GAM) approach. The model development includes selecting a GAM structure to describe nonlinear seasonally-varying changes over time, incorporation of hydrologic variability via either a river flow or salinity, the use of an intervention to deal with method or laboratory changes suspected to impact data values, and representation of left- and interval-censored data. The approach has been applied to water quality data in the Chesapeake Bay, a major estuary on the east coast of the United States to provide insights to a range of management- and research-focused questions. Methodology described in Murphy (2019) <doi:10.1016/j.envsoft.2019.03.027>.
Author: Rebecca Murphy, Elgin Perry, Jennifer Keisman, Jon Harcum, Erik W Leppo
Maintainer: Erik W Leppo <Erik.Leppo@tetratech.com>

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Package palasso updated to version 0.0.8 with previous version 0.0.7 dated 2019-11-19

Title: Paired Lasso Regression
Description: Implements sparse regression with paired covariates (Rauschenberger et al. 2020 <doi:10.1007/s11634-019-00375-6>). For the optional shrinkage, install ashr (<https://github.com/stephens999/ashr>) and CorShrink (<https://github.com/kkdey/CorShrink>) from GitHub (see README).
Author: Armin Rauschenberger [aut, cre]
Maintainer: Armin Rauschenberger <armin.rauschenberger@uni.lu>

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Package tidymodels updated to version 0.1.3 with previous version 0.1.2 dated 2020-11-22

Title: Easily Install and Load the 'Tidymodels' Packages
Description: The tidy modeling "verse" is a collection of packages for modeling and statistical analysis that share the underlying design philosophy, grammar, and data structures of the tidyverse.
Author: Max Kuhn [aut, cre], Hadley Wickham [aut], RStudio [cph, fnd]
Maintainer: Max Kuhn <max@rstudio.com>

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Package OVtool updated to version 1.0.1 with previous version 1.0.0 dated 2021-03-18

Title: Omitted Variable Tool
Description: This tool was designed to assess the sensitivity of research findings to omitted variables when estimating causal effects using propensity score (PS) weighting. This tool produces graphics and summary results that will enable a researcher to quantify the impact an omitted variable would have on their results. Burgette et al. (2021) describe the methodology behind the primary function in this package, ov_sim. The method is demonstrated in Griffin et al. (2020) <doi:10.1016/j.jsat.2020.108075>.
Author: Joseph Pane [aut, cre], Lane Burgette [aut], Beth Ann Griffin [aut], Daniel McCaffrey [aut]
Maintainer: Joseph Pane <josephp@rand.org>

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Package mlr3benchmark updated to version 0.1.2 with previous version 0.1.1 dated 2020-12-16

Title: Analysis and Visualisation of Benchmark Experiments
Description: Implements methods for post-hoc analysis and visualisation of benchmark experiments, for 'mlr3' and beyond.
Author: Sonabend Raphael [cre, aut] (<https://orcid.org/0000-0001-9225-4654>), Florian Pfisterer [aut] (<https://orcid.org/0000-0001-8867-762X>), Michel Lang [ctb] (<https://orcid.org/0000-0001-9754-0393>), Bernd Bischl [ctb] (<https://orcid.org/0000-0001-6002-6980>)
Maintainer: Sonabend Raphael <raphaelsonabend@gmail.com>

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Package goric updated to version 1.1-2 with previous version 1.1-1 dated 2020-06-04

Title: Generalized Order-Restricted Information Criterion
Description: Generalized Order-Restricted Information Criterion (GORIC) value for a set of hypotheses in multivariate linear models and generalised linear models.
Author: Daniel Gerhard [aut, cre], Rebecca M. Kuiper [aut]
Maintainer: Daniel Gerhard <00gerhard@gmail.com>

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Package pencal updated to version 0.4.1 with previous version 0.3.2 dated 2021-03-25

Title: Penalized Regression Calibration (PRC)
Description: Computes penalized regression calibration (PRC), a statistical method that allows to predict survival from high-dimensional longitudinal predictors. PRC is described in Signorelli et al. (in review, arXiv preprint: <arXiv:2101.04426>)).
Author: Mirko Signorelli [aut, cre, cph] (<https://orcid.org/0000-0002-8102-3356>), Pietro Spitali [ctb], Roula Tsonaka [ctb]
Maintainer: Mirko Signorelli <msignorelli.rpackages@gmail.com>

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Package openintro updated to version 2.1.0 with previous version 2.0.0 dated 2020-07-03

Title: Data Sets and Supplemental Functions from 'OpenIntro' Textbooks and Labs
Description: Supplemental functions and data for 'OpenIntro' resources, which includes open-source textbooks and resources for introductory statistics (<https://www.openintro.org/>). The package contains data sets used in our open-source textbooks along with custom plotting functions for reproducing book figures. Note that many functions and examples include color transparency; some plotting elements may not show up properly (or at all) when run in some versions of Windows operating system.
Author: Mine Çetinkaya-Rundel [aut, cre] (<https://orcid.org/0000-0001-6452-2420>), David Diez [aut], Andrew Bray [aut], Albert Y. Kim [aut] (<https://orcid.org/0000-0001-7824-306X>), Ben Baumer [aut], Chester Ismay [aut], Nick Paterno [aut], Christopher Barr [aut]
Maintainer: Mine Çetinkaya-Rundel <cetinkaya.mine@gmail.com>

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Package mixture updated to version 2.0.4 with previous version 2.0.3 dated 2021-03-02

Title: Mixture Models for Clustering and Classification
Description: An implementation of 14 parsimonious mixture models for model-based clustering or model-based classification. Gaussian, Student's t, generalized hyperbolic, variance-gamma or skew-t mixtures are available. All approaches work with missing data. Celeux and Govaert (1995) <doi:10.1016/0031-3203(94)00125-6>, Browne and McNicholas (2014) <doi:10.1007/s11634-013-0139-1>, Browne and McNicholas (2015) <doi:10.1002/cjs.11246>.
Author: Nik Pocuca [aut], Ryan P. Browne [aut], Paul D. McNicholas [aut, cre]
Maintainer: Paul D. McNicholas <mcnicholas@math.mcmaster.ca>

Diff between mixture versions 2.0.3 dated 2021-03-02 and 2.0.4 dated 2021-04-19

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Package rmdformats updated to version 1.0.2 with previous version 1.0.1 dated 2021-01-13

Title: HTML Output Formats and Templates for 'rmarkdown' Documents
Description: HTML formats and templates for 'rmarkdown' documents, with some extra features such as automatic table of contents, lightboxed figures, dynamic crosstab helper.
Author: Julien Barnier [aut, cre]
Maintainer: Julien Barnier <julien.barnier@cnrs.fr>

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Package porridge updated to version 0.2.1 with previous version 0.2.0 dated 2021-02-09

Title: Ridge-Type Penalized Estimation of a Potpourri of Models
Description: The name of the package is derived from the French, 'pour' ridge, and provides functionality for ridge-type estimation of a potpourri of models. Currently, this estimation concerns that of various Gaussian graphical models from different study designs. Among others it considers the regular Gaussian graphical model and a mixture of such models. The porridge-package implements the estimation of the former either from i) data with replicated observations by penalized loglikelihood maximization using the regular ridge penalty on the parameters (van Wieringen, Chen, 2019) or ii) from non-replicated data by means of either a ridge estimator with multiple shrinkage targets (as presented in van Wieringen et al. 2020, <doi:10.1016/j.jmva.2020.104621>) or the generalized ridge estimator that allows for both the inclusion of quantitative and qualitative prior information on the precision matrix via element-wise penalization and shrinkage (van Wieringen, 2019, <doi:10.1080/10618600.2019.1604374>). Additionally, the porridge-package facilitates the ridge penalized estimation of a mixture of Gaussian graphical models (Aflakparast et al., 2018, <doi:10.1002/bimj.201700102>).
Author: Wessel N. van Wieringen [aut, cre], Mehran Aflakparast [ctb] (part of the R-code of the mixture functionality)
Maintainer: Wessel N. van Wieringen <w.vanwieringen@vumc.nl>

Diff between porridge versions 0.2.0 dated 2021-02-09 and 0.2.1 dated 2021-04-19

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Package wilson updated to version 2.4.2 with previous version 2.4.1 dated 2021-03-08

Title: Web-Based Interactive Omics Visualization
Description: Tool-set of modules for creating web-based applications that use plot based strategies to visualize and analyze multi-omics data. This package utilizes the 'shiny' and 'plotly' frameworks to provide a user friendly dashboard for interactive plotting.
Author: Hendrik Schultheis [aut, cre], Jens Preussner [aut], Looso Mario [aut]
Maintainer: Hendrik Schultheis <hendrik.schultheis@mpi-bn.mpg.de>

Diff between wilson versions 2.4.1 dated 2021-03-08 and 2.4.2 dated 2021-04-19

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Package trending updated to version 0.0.3 with previous version 0.0.2 dated 2020-11-18

Title: Model Temporal Trends
Description: Provides a coherent interface to multiple modelling tools for fitting trends along with a standardised approach for generating confidence and prediction intervals.
Author: Dirk Schumacher [aut], Thibaut Jombart [aut], Tim Taylor [ctb, cre] (<https://orcid.org/0000-0002-8587-7113>)
Maintainer: Tim Taylor <tim.taylor@hiddenelephants.co.uk>

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Package LSX updated to version 0.9.9 with previous version 0.9.8 dated 2021-03-22

Title: Model for Semisupervised Text Analysis Based on Word Embeddings
Description: A word embeddings-based semisupervised model for document scaling Watanabe (2020) <doi:10.1080/19312458.2020.1832976>. LSS allows users to analyze large and complex corpora on arbitrary dimensions with seed words exploiting efficiency of word embeddings (SVD, Glove). It can generate word vectors on a users-provided corpus or incorporate a pre-trained word vectors.
Author: Kohei Watanabe [aut, cre, cph]
Maintainer: Kohei Watanabe <watanabe.kohei@gmail.com>

Diff between LSX versions 0.9.8 dated 2021-03-22 and 0.9.9 dated 2021-04-19

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New package gapmap with initial version 0.1.0
Package: gapmap
Title: Drawing Gapped Cluster Heatmap with 'ggplot2'
Version: 0.1.0
Authors@R: c(person("Ryo", "Sakai", email="ryo@vda-lab.be", role="aut"), person("Evan", "Biederstedt", email="evan.biederstedt@gmail.com", role=c("cre", "aut")))
Description: The gap encodes the distance between clusters and improves interpretation of cluster heatmaps. The gaps can be of the same distance based on a height threshold to cut the dendrogram. Another option is to vary the size of gaps based on the distance between clusters.
License: GPL-2 | GPL-3
Encoding: UTF-8
Depends: ggplot2, reshape2
Imports: grid
Suggests: knitr, dendsort, RColorBrewer, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/evanbiederstedt/gapmap
BugReports: https://github.com/evanbiederstedt/gapmap/issues
NeedsCompilation: no
Maintainer: Evan Biederstedt <evan.biederstedt@gmail.com>
Packaged: 2021-04-18 22:19:35 UTC; evanbiederstedt
Author: Ryo Sakai [aut], Evan Biederstedt [cre, aut]
Repository: CRAN
Date/Publication: 2021-04-19 09:10:05 UTC

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New package TestGardener with initial version 0.1.4
Package: TestGardener
Date: 2021-04-12
Title: Optimal Analysis of Test and Rating Scale Data
Version: 0.1.4
Author: James Ramsay [aut,cre], Juan Li [aut,cre]
Maintainer: James Ramsay <james.ramsay@mcgill.ca>
Depends: R (>= 3.5), fda, ggplot2, rgl, knitr, rmarkdown
Description: Develop, evaluate, and score multiple choice examinations, psychological scales, questionnaires, and similar types of data involving sequences of choices among one or more sets of answers. Using the package does not require any formal statistical knowledge beyond what would be provided by a first course in statistics in a social science department. There the user would encounter the concept of probability and how it is used to model data and make decisions, and would become familiar with basic mathematical and statistical notation. The essential aspects of each display were designed to be self-explanatory, although more statistically sophisticated users will also find information that they may find helpful. Most of the output is in graphical form. Two recent papers on the methodology are Ramsay, James; Li, Juan; Wiberg, Marie (2020) <doi:10.3390/psych2040026> and Ramsay, James; Wiberg, Marie; Li, Juan (2019) <doi:10.3102/1076998619885636>.
License: GPL (>= 2)
LazyData: true
Imports: dplyr, ggpubr, stringr, tidyr, pracma, utf8
VignetteBuilder: knitr, rmarkdown
Language: en-US
NeedsCompilation: no
Packaged: 2021-04-16 21:00:20 UTC; jamesramsay
Repository: CRAN
Date/Publication: 2021-04-19 08:20:06 UTC

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New package stevemisc with initial version 1.0.0
Package: stevemisc
Title: Steve's Miscellaneous Functions
Version: 1.0.0
Depends: R (>= 3.6.0), stats
Authors@R: c( person("Steve", "Miller", email = "steven.v.miller@gmail.com", role = c("aut", "cre")), person("Ben", "Bolker", email = "bolker@mcmaster.ca", role = "ctb"), person("Dave", "Armstrong", email = "dave.armstrong@uwo.ca", role = "ctb"), person("John", "Fox", email = "jfox@mcmaster.ca", role = "ctb"), person("Winston", "Chang", email = "winston@stdout.org", role = "ctb"), person("Brian", "Ripley", email = "ripley@stats.ox.ac.uk", role = "ctb"), person("Bill", "Venables", email = "w.venables@uq.edu.au", role = "ctb"), person("Pascal", "van Kooten", email = "kootenpv@gmail.com", role = "ctb"), person("Gerko", "Vink", email = "g.vink@uu.nl", role = "ctb"), person("Paul", "Williamson", email = "william@liv.ac.uk", role = "ctb") )
Description: These are miscellaneous functions that I find useful for my research and teaching. The contents include themes for plots, functions for simulating quantities of interest from regression models, functions for simulating various forms of fake data for instructional/research purposes, and many more. All told, the functions provided here are broadly useful for data organization, data presentation, data recoding, and data simulation.
License: GPL (>= 2)
BugReports: https://github.com/svmiller/stevemisc/issues
Encoding: UTF-8
LazyData: true
Imports: ggplot2 (>= 3.3.0), magrittr, broom.mixed, labelled, arm, parallel, purrr, tibble, dplyr, methods, lme4, rlang, forcats, DBI, RSQLite, dbplyr
Suggests: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2021-04-16 11:10:00 UTC; steve
Author: Steve Miller [aut, cre], Ben Bolker [ctb], Dave Armstrong [ctb], John Fox [ctb], Winston Chang [ctb], Brian Ripley [ctb], Bill Venables [ctb], Pascal van Kooten [ctb], Gerko Vink [ctb], Paul Williamson [ctb]
Maintainer: Steve Miller <steven.v.miller@gmail.com>
Repository: CRAN
Date/Publication: 2021-04-19 08:20:03 UTC

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New package SSRTcalc with initial version 0.3.3
Package: SSRTcalc
Title: Easy SSRT Calculation
Version: 0.3.3
Authors@R: person("Anton", "Leontyev", email = "a.g.leontiev@tamu.edu", comment = c(ORCID = "0000-0001-8880-6161"), role = c("aut", "cre"))
Description: This is a collection of functions to calculate stop-signal reaction time (SSRT). Includes functions for both "integration" and "mean" methods; both fixed and adaptive stop-signal delays are supported (see appropriate functions). Calculation is based on Verbruggen et al. (2019) <doi:10.7554/eLife.46323.001> and Verbruggen et al. (2013) <doi:10.1177/0956797612457390>.
License: GPL-3
Encoding: UTF-8
LazyData: True
Depends: R (>= 3.5.0)
Imports: stats (>= 4.0.5)
NeedsCompilation: no
Packaged: 2021-04-18 00:27:26 UTC; agleo
Author: Anton Leontyev [aut, cre] (<https://orcid.org/0000-0001-8880-6161>)
Maintainer: Anton Leontyev <a.g.leontiev@tamu.edu>
Repository: CRAN
Date/Publication: 2021-04-19 08:50:07 UTC

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New package sportyR with initial version 1.0.0
Package: sportyR
Title: Plot Scaled 'ggplot' Representations of Sports Playing Surfaces
Version: 1.0.0
Authors@R: person("Ross", "Drucker", email = "ross.a.drucker@gmail.com", role = c("aut", "cre"))
Maintainer: Ross Drucker <ross.a.drucker@gmail.com>
Description: Create scaled 'ggplot' representations of playing surfaces. Playing surfaces are drawn pursuant to rule-book specifications. This package should be used as a baseline plot for displaying player tracking data.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: ggplot2, glue, rjson, utils, dplyr
Depends: R (>= 3.3)
Suggests: testthat (>= 3.0.0), vdiffr (>= 0.3.3), roxygen2
URL: https://github.com/rossdrucker/sportyR
BugReports: https://github.com/rossdrucker/sportyR/issues
NeedsCompilation: no
Packaged: 2021-04-16 20:36:13 UTC; rossdrucker
Author: Ross Drucker [aut, cre]
Repository: CRAN
Date/Publication: 2021-04-19 08:30:03 UTC

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Package spidR updated to version 1.0.1 with previous version 1.0.0 dated 2021-04-05

Title: Spider Biodiversity Tools
Description: Allows the user to connect with the World Spider Catalogue (WSC; <https://wsc.nmbe.ch/>) and the World Spider Trait (WST; <https://spidertraits.sci.muni.cz/>) databases. Also performs several basic functions such as checking names validity, retrieving coordinate data from the Global Biodiversity Information Facility (GBIF; <https://www.gbif.org/>), and mapping.
Author: Pedro Cardoso [aut, cre]
Maintainer: Pedro Cardoso <pedro.cardoso@helsinki.fi>

Diff between spidR versions 1.0.0 dated 2021-04-05 and 1.0.1 dated 2021-04-19

 DESCRIPTION       |   11 ++--
 MD5               |   16 +++---
 NAMESPACE         |    1 
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 man/checknames.Rd |   10 ++--
 man/map.Rd        |   10 ++--
 man/records.Rd    |    4 -
 man/taxonomy.Rd   |   16 ++++--
 man/traits.Rd     |   10 ++--
 9 files changed, 127 insertions(+), 85 deletions(-)

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New package HGMND with initial version 0.1.0
Package: HGMND
Title: Heterogeneous Graphical Model for Non-Negative Data
Version: 0.1.0
Description: Graphical model is an informative and powerful tool to explore the conditional dependence relationships among variables. The traditional Gaussian graphical model and its extensions either have a Gaussian assumption on the data distribution or assume the data are homogeneous. However, there are data with complex distributions violating these two assumptions. For example, the air pollutant concentration records are non-negative and, hence, non-Gaussian. Moreover, due to climate changes, distributions of these concentration records in different months of a year can be far different, which means it is uncertain whether datasets from different months are homogeneous. Methods with a Gaussian or homogeneous assumption may incorrectly model the conditional dependence relationships among variables. Therefore, we propose a heterogeneous graphical model for non-negative data (HGMND) to simultaneously cluster multiple datasets and estimate the conditional dependence matrix of variables from a non-Gaussian and non-negative exponential family in each cluster.
Authors@R: c(person("Jiaqi" , "Zhang", role = c("aut", "cre"), email = "boarzhang@gmail.com"), person("Xinyan", "Fan" , role = c("aut")), person("Yang" , "Li" , role = c("aut")))
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: genscore
Depends: R (>= 3.6.0)
NeedsCompilation: no
Author: Jiaqi Zhang [aut, cre], Xinyan Fan [aut], Yang Li [aut]
Maintainer: Jiaqi Zhang <boarzhang@gmail.com>
Packaged: 2021-04-18 08:20:08 UTC; boarZ
Repository: CRAN
Date/Publication: 2021-04-19 09:00:02 UTC

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New package fitmix with initial version 0.1.0
Package: fitmix
Title: Finite Mixture Model Fitting of Lifespan Datasets
Version: 0.1.0
Authors@R: c(person("Emine", "Guven", email = "emine.guven33@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0001-9324-0879")), person("Hong", "Qin", role = c("aut")))
Description: Fits the lifespan datasets of biological systems such as yeast, fruit flies, and other similar biological units with well-known finite mixture models introduced by Farewell V. (1982) <doi:10.2307/2529885> and Al-Hussaini et al. (2000) <doi:10.1080/00949650008812033>. Estimates parameter space fitting of a lifespan dataset with finite mixtures of parametric distributions. Computes the following tasks; 1) Estimates parameter space of the finite mixture model by implementing the expectation maximization (EM) algorithm. 2) Finds a sequence of four goodness-of-fit measures consist of Akaike Information Criterion (AIC), Bayesian Information Criterion (BIC), Kolmogorov-Smirnov (KS), and log-likelihood (log-likelihood) statistics. 3)The initial values is determined by k-means clustering.
URL: https://github.com/guven-code/fitmix/
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.1.0)
Imports: stats
Suggests: rmarkdown, knitr
NeedsCompilation: no
Packaged: 2021-04-17 09:44:53 UTC; user
Author: Emine Guven [aut, cre] (<https://orcid.org/0000-0001-9324-0879>), Hong Qin [aut]
Maintainer: Emine Guven <emine.guven33@gmail.com>
Repository: CRAN
Date/Publication: 2021-04-19 08:50:04 UTC

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Package cornet updated to version 0.0.5 with previous version 0.0.4 dated 2020-03-18

Title: Elastic Net with Dichotomised Outcomes
Description: Implements lasso and ridge regression for dichotomised outcomes (Rauschenberger et al. 2021). Such outcomes are not naturally but artificially binary. They indicate whether an underlying measurement is greater than a threshold.
Author: Armin Rauschenberger [aut, cre]
Maintainer: Armin Rauschenberger <armin.rauschenberger@uni.lu>

Diff between cornet versions 0.0.4 dated 2020-03-18 and 0.0.5 dated 2021-04-19

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 22 files changed, 231 insertions(+), 129 deletions(-)

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New package tidywikidatar with initial version 0.2.0
Package: tidywikidatar
Title: Explore 'Wikidata' Through Tidy Data Frames
Version: 0.2.0
Authors@R: c(person(given = "Giorgio", family = "Comai", role = c("aut", "cre", "cph"), email = "g@giorgiocomai.eu", comment = c(ORCID = "0000-0002-0515-9542")), person(given = "EDJNet", role = "fnd"))
Description: Query 'Wikidata' API <https://wikidata.org/> with ease, get tidy data frames in response, and cache data in a local 'SQLite' database.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: magrittr, dplyr, tidyr, WikidataR, stringr, glue, DBI, RSQLite, tibble, purrr, usethis, WikidataQueryServiceR, fs, rlang (>= 0.1.2)
Suggests: spelling, roxygen2, testthat (>= 3.0.0)
Language: en-US
URL: https://edjnet.github.io/tidywikidatar/
NeedsCompilation: no
Packaged: 2021-04-15 11:29:22 UTC; g
Author: Giorgio Comai [aut, cre, cph] (<https://orcid.org/0000-0002-0515-9542>), EDJNet [fnd]
Maintainer: Giorgio Comai <g@giorgiocomai.eu>
Repository: CRAN
Date/Publication: 2021-04-19 07:50:02 UTC

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Package tictoc updated to version 1.0.1 with previous version 1.0 dated 2014-06-17

Title: Functions for Timing R Scripts, as Well as Implementations of Stack and List Structures
Description: Provides the timing functions 'tic' and 'toc' that can be nested. One can record all timings while a complex script is running, and examine the values later. It is also possible to instrument the timing calls with custom callbacks. In addition, this package provides class 'Stack', implemented as a vector, and class 'List', implemented as a list, both of which support operations 'push', 'pop', 'first', 'last' and 'clear'.
Author: Sergei Izrailev
Maintainer: Sergei Izrailev <sizrailev@collective.com>

Diff between tictoc versions 1.0 dated 2014-06-17 and 1.0.1 dated 2021-04-19

 DESCRIPTION |   15 +++++++--------
 MD5         |    6 +++---
 R/tictoc.R  |   18 +++++++++---------
 R/zzz.R     |    6 +++---
 4 files changed, 22 insertions(+), 23 deletions(-)

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Package spark.sas7bdat updated to version 1.4 with previous version 1.2 dated 2016-12-27

Title: Read in 'SAS' Data ('.sas7bdat' Files) into 'Apache Spark'
Description: Read in 'SAS' Data ('.sas7bdat' Files) into 'Apache Spark' from R. 'Apache Spark' is an open source cluster computing framework available at <http://spark.apache.org>. This R package uses the 'spark-sas7bdat' 'Spark' package (<https://spark-packages.org/package/saurfang/spark-sas7bdat>) to import and process 'SAS' data in parallel using 'Spark'. Hereby allowing to execute 'dplyr' statements in parallel on top of 'SAS' data.
Author: Jan Wijffels [aut, cre, cph], BNOSAC [cph], Geyer Bisschoff [ctb]
Maintainer: Jan Wijffels <jwijffels@bnosac.be>

Diff between spark.sas7bdat versions 1.2 dated 2016-12-27 and 1.4 dated 2021-04-19

 DESCRIPTION                           |   16 +-
 MD5                                   |   22 ++--
 R/read_sas.R                          |   26 +---
 README.md                             |    4 
 build/vignette.rds                    |binary
 inst/NEWS                             |    9 +
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 man/spark.sas7bdat-package.Rd         |    1 
 man/spark_read_sas.Rd                 |    5 
 vignettes/spark_sas7bdat_examples.Rmd |    8 -
 12 files changed, 174 insertions(+), 113 deletions(-)

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New package RCSL with initial version 0.99.95
Package: RCSL
Version: 0.99.95
Date: 2021-04-01
Title: Rank Constrained Similarity Learning for Single Cell RNA Sequencing Data
Authors@R: c(person("Qinglin", "Mei", email = "meiqinglinkf@163.com", role=c("aut", "cre")), person("Guojun", "Li", role=c("ctb")), person("Zhengchang", "Su", role=c("fnd")))
Description: A novel clustering algorithm and toolkit to accurately identify various cell types using single cell RNA sequencing data from a complex tissue. This algorithm considers both local similarity and global similarity among the cells to discern the subtle differences among cells of the same type as well as larger differences among cells of different types. This algorithm uses Spearman’s rank correlations of a cell’s expression vector with those of other cells to measure its global similarity, and learns neighbour representation of a cell as its local similarity. The overall similarity of a cell to other cells is a linear combination of its global similarity and local similarity. See Mei et. al. (2021) <DOI:10.1101/2021.04.12.439254> for more details.
URL: https://github.com/QinglinMei/RCSL
BugReports: https://github.com/QinglinMei/RCSL/issues
Depends: R (>= 4.0)
License: GPL-3
Encoding: UTF-8
LazyData: true
biocViews: SingleCell, Software, Clustering, DimensionReduction, RNASeq, Visualization, Sequencing
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Author: Qinglin Mei [aut, cre], Guojun Li [ctb], Zhengchang Su [fnd]
Maintainer: Qinglin Mei <meiqinglinkf@163.com>
Imports: RcppAnnoy, igraph, mclust, NbClust, Rtsne, ggplot2, methods, pracma, umap, grDevices, graphics, stats, SingleCellExperiment
Repository: CRAN
NeedsCompilation: no
Packaged: 2021-04-16 09:27:11 UTC; qinglin
Date/Publication: 2021-04-19 07:50:06 UTC

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New package PooledCohort with initial version 0.0.1
Package: PooledCohort
Title: Predict 10-Year Risk for Atherosclerotic Cardiovascular Disease
Version: 0.0.1
Authors@R: c(person(given = "Byron", family = "Jaeger", role = c("aut", "cre"), email = "bcjaeger@uab.edu", comment = c(ORCID = "0000-0001-7399-2299")))
Description: The 2017 American College of Cardiology and American Heart Association blood pressure guideline recommends using 10-year predicted atherosclerotic cardiovascular disease risk to guide the decision to initiate or intensify antihypertensive medication. The guideline recommends using the Pooled Cohort risk prediction equations to predict 10-year atherosclerotic cardiovascular disease risk. This package implements the original Pooled Cohort risk prediction equations and also incorporates updated versions based on more contemporary data and statistical methods. References: Goff DC, Lloyd-Jones DM, Bennett G, Coady S, D’Agostino RB, Gibbons R, Greenland P, Lackland DT, Levy D, O’Donnell CJ, and Robinson JG (2014) <doi:10.1016/j.jacc.2014.03.006> Yadlowsky S, Hayward RA, Sussman JB, McClelland RL, Min YI, and Basu S (2018) <doi:10.7326/m17-3011>.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: testthat, covr, dplyr
URL: https://github.com/bcjaeger/PooledCohort
BugReports: https://github.com/bcjaeger/PooledCohort/issues
Imports: glue, stats
NeedsCompilation: no
Packaged: 2021-04-15 19:57:29 UTC; bcjaeger
Author: Byron Jaeger [aut, cre] (<https://orcid.org/0000-0001-7399-2299>)
Maintainer: Byron Jaeger <bcjaeger@uab.edu>
Repository: CRAN
Date/Publication: 2021-04-19 07:50:09 UTC

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New package meerva with initial version 0.1-1
Title: Analysis of Data with Measurement Error Using a Validation Subsample
Package: meerva
Version: 0.1-1
Date: 2021-04-12
Depends: R (>= 3.4.0)
Imports: survival , dplyr , tidyr , ggplot2
ByteCompile: Yes
Authors@R: c(person(c("Walter", "K"), "Kremers", email="kremers.walter@mayo.edu", role=c("aut", "cre"), comment = c(ORCID = "0000-0001-5714-3473") ))
Description: Analyze data with measurement error when there is a validation subsample randomly selected from the full sample. The method assumes surrogate variables measured with error are available for the full sample, and reference variables measured with little or no error are available for this randomly chosen subsample of the full sample. Measurement errors may be differential or non differential, in any or all predictors (simultaneously) as well as outcome. The "augmented" estimates derived are based upon the multivariate correlation between regression model parameter estimates for the reference variables and for the surrogate variables in the validation subset. Because the validation subsample is chosen at random whatever biases are imposed by measurement error, non-differential or differential, are reflected in this correlation and can be used to derive estimates for the reference variables using data from the whole sample. This work derives from Chen Y-H, Chen H. (2000) <doi:10.1111/1467-9868.00243>, Chen Y-H. (2002) <doi:10.1111/1467-9868.00324>, Wang X, Wang Q (2015) <doi:10.1016/j.jmva.2015.05.017> and Tong Y, Huang J et al. (2020) <doi:10.1093/jamia/ocz180>.
License: GPL-3
NeedsCompilation: no
Copyright: Mayo Foundation for Medical Education and Research
Packaged: 2021-04-16 13:04:16 UTC; kremers
Author: Walter K Kremers [aut, cre] (<https://orcid.org/0000-0001-5714-3473>)
Maintainer: Walter K Kremers <kremers.walter@mayo.edu>
Repository: CRAN
Date/Publication: 2021-04-19 08:00:02 UTC

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Package amapGeocode updated to version 0.6.0 with previous version 0.5.0 dated 2020-11-20

Title: An Interface to the 'AutoNavi Maps' API Geocoding Services
Description: Getting and parsing data of location geocode/reverse-geocode and administrative regions from 'AutoNavi Maps'<https://lbs.amap.com/api/webservice/summary> API.
Author: Han Chen [aut, cre], Wanyanhan Jiang [ctb]
Maintainer: Han Chen <chenhan28@gmail.com>

Diff between amapGeocode versions 0.5.0 dated 2020-11-20 and 0.6.0 dated 2021-04-19

 amapGeocode-0.5.0/amapGeocode/build/amapGeocode.pdf                     |only
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 amapGeocode-0.6.0/amapGeocode/DESCRIPTION                               |   18 
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 amapGeocode-0.6.0/amapGeocode/NEWS.md                                   |   47 
 amapGeocode-0.6.0/amapGeocode/R/convertCoord.R                          |  491 ++---
 amapGeocode-0.6.0/amapGeocode/R/getAdmin.R                              |  691 ++++---
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 amapGeocode-0.6.0/amapGeocode/R/getLocation.R                           |  745 ++++----
 amapGeocode-0.6.0/amapGeocode/R/helpers.R                               |   81 
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 amapGeocode-0.6.0/amapGeocode/man/extractCoord.Rd                       |   11 
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Package svUnit updated to version 1.0.6 with previous version 1.0.3 dated 2020-04-20

Title: 'SciViews' - Unit, Integration and System Testing
Description: A complete unit test system and functions to implement its GUI part.
Author: Philippe Grosjean [aut, cre] (<https://orcid.org/0000-0002-2694-9471>)
Maintainer: Philippe Grosjean <phgrosjean@sciviews.org>

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Package qqman updated to version 0.1.8 with previous version 0.1.4 dated 2017-03-15

Title: Q-Q and Manhattan Plots for GWAS Data
Description: Create Q-Q and manhattan plots for GWAS data from PLINK results.
Author: Stephen Turner <vustephen@gmail.com>
Maintainer: Stephen Turner <vustephen@gmail.com>

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Package comat updated to version 0.9.1 with previous version 0.9.0 dated 2020-10-10

Title: Creates Co-Occurrence Matrices of Spatial Data
Description: Builds co-occurrence matrices based on spatial raster data. It includes creation of weighted co-occurrence matrices (wecoma) and integrated co-occurrence matrices (incoma; Vadivel et al. (2007) <doi:10.1016/j.patrec.2007.01.004>).
Author: Jakub Nowosad [aut, cre] (<https://orcid.org/0000-0002-1057-3721>), Maximillian H.K. Hesselbarth [ctb] (Co-author of underlying C++ code for get_class_index_map(), get_unique_values(), and rcpp_get_coma() functions), Marco Sciaini [ctb] (Co-author of underlying C++ code for get_class_index_map(), get_unique_values(), and rcpp_get_coma() functions), Sebastian Hanss [ctb] (Co-author of underlying C++ code for get_class_index_map(), get_unique_values(), and rcpp_get_coma() functions)
Maintainer: Jakub Nowosad <nowosad.jakub@gmail.com>

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Package bizdays updated to version 1.0.8 with previous version 1.0.6 dated 2018-06-25

Title: Business Days Calculations and Utilities
Description: Business days calculations based on a list of holidays and nonworking weekdays. Quite useful for fixed income and derivatives pricing.
Author: Wilson Freitas <wilson.freitas@gmail.com>
Maintainer: Wilson Freitas <wilson.freitas@gmail.com>

Diff between bizdays versions 1.0.6 dated 2018-06-25 and 1.0.8 dated 2021-04-19

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Package autothresholdr updated to version 1.3.10 with previous version 1.3.9 dated 2020-10-18

Title: An R Port of the 'ImageJ' Plugin 'Auto Threshold'
Description: Algorithms for automatically finding appropriate thresholds for numerical data, with special functions for thresholding images. Provides the 'ImageJ' 'Auto Threshold' plugin functionality to R users. See <https://imagej.net/Auto_Threshold> and Landini et al. (2017) <DOI:10.1111/jmi.12474>.
Author: Rory Nolan [aut, cre, trl] (<https://orcid.org/0000-0002-5239-4043>), Luis Alvarez [ctb] (<https://orcid.org/0000-0003-1316-1906>), Sergi Padilla-Parra [ctb, ths] (<https://orcid.org/0000-0002-8010-9481>), Gabriel Landini [ctb, cph] (<https://orcid.org/0000-0002-9689-0989>)
Maintainer: Rory Nolan <rorynoolan@gmail.com>

Diff between autothresholdr versions 1.3.9 dated 2020-10-18 and 1.3.10 dated 2021-04-19

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Package mschart updated to version 0.3.0 with previous version 0.2.6 dated 2021-04-07

Title: Chart Generation for 'Microsoft Word' and 'Microsoft PowerPoint' Documents
Description: Create native charts for 'Microsoft PowerPoint' and 'Microsoft Word' documents. These can then be edited and annotated. Functions are provided to let users create charts, modify and format their content. The chart's underlying data is automatically saved within the 'Word' document or 'PowerPoint' presentation. It extends package 'officer' that does not contain any feature for 'Microsoft' native charts production.
Author: David Gohel [aut, cre], ArData [cph], YouGov [fnd], Rokas Klydzia [ctb] (custom labels), David Camposeco [ctb] (chart_data_smooth function), Dan Joplin [ctb] (fix scatter plot data structure)
Maintainer: David Gohel <david.gohel@ardata.fr>

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Package fusionchartsR updated to version 0.0.2 with previous version 0.0.1 dated 2020-09-23

Title: Embedding 'FusionCharts Javascript' Library in R
Description: FusionCharts provides awesome and minimalist functions to make beautiful interactive charts <https://www.fusioncharts.com/>.
Author: Alex Yahiaoui Martinez [aut, cre]
Maintainer: Alex Yahiaoui Martinez <yahiaoui-martinez.alex@outlook.com>

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Package freealg updated to version 1.0-2 with previous version 1.0-0 dated 2019-09-23

Title: The Free Algebra
Description: The free algebra in R; multivariate polynomials with non-commuting indeterminates.
Author: Robin K. S. Hankin [aut, cre] (<https://orcid.org/0000-0001-5982-0415>)
Maintainer: Robin K. S. Hankin <hankin.robin@gmail.com>

Diff between freealg versions 1.0-0 dated 2019-09-23 and 1.0-2 dated 2021-04-19

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Sun, 18 Apr 2021

New package trackter with initial version 0.1.1
Package: trackter
Title: Automated Kinematic Analysis of Image Data
Version: 0.1.1
Authors@R: person(given="Christopher", family="Kenaley", email = "cpkenaley@gmail.com", role = c("aut", "cre"))
Description: Analysis of shape and contours in regions of interest (ROIs) in image sequences and extracting midline and other kinematic data.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0),
biocViews:
Imports: EBImage, data.table, dplyr, Momocs, raster, zoo, plyr, pastecs, features, jpeg, ggplot2, graphics, stats, utils
Suggests: testthat (>= 3.0.1), covr, knitr, rmarkdown, animation,
SystemRequirements: FFmpeg
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-04-14 01:40:51 UTC; biology
Author: Christopher Kenaley [aut, cre]
Maintainer: Christopher Kenaley <cpkenaley@gmail.com>
Repository: CRAN
Date/Publication: 2021-04-18 22:10:02 UTC

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Package mistral updated to version 2.2.1 with previous version 2.1.0 dated 2016-04-03

Title: Methods in Structural Reliability
Description: Various reliability analysis methods for rare event inference:1) computing failure probability (probability that the output of a numerical model exceeds a threshold), 2) computing quantile of low or high-order, 3) Wilks formula to compute quantile(s) from a sample or the size of the required i.i.d. sample.
Author: Clement WALTER, Gilles DEFAUX, Bertrand IOOSS, Vincent MOUTOUSSAMY with contributions from Nicolas BOUSQUET, Claire CANNAMELA and Paul LEMAITRE
Maintainer: Bertrand Iooss <biooss@yahoo.fr>

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New package CoTiMA with initial version 0.3.9
Package: CoTiMA
Title: Continuous Time Meta-Analysis ('CoTiMA')
Version: 0.3.9
Date: 2021-04-13
Authors@R: c(person("Christian", "Dormann", role = c("aut","cph")), person("Markus", "Homberg", email = "cotima@uni-mainz.de", role = c("ctb", "com", "cre")), person("Christina", "Guthier", role = c("ctb")), person("Manuel", "Voelkle", role = c("ctb")))
Description: The 'CoTiMA' package performs meta-analyses of correlation matrices of repeatedly measured variables taken from studies that used different time intervals. Different time intervals between measurement occasions impose problems for meta-analyses because the effects (e.g. cross-lagged effects) cannot be simply aggregated, for example, by means of common fixed or random effects analysis. However, continuous time math, which is applied in 'CoTiMA', can be used to extrapolate or intrapolate the results from all studies to any desired time lag. By this, effects obtained in studies that used different time intervals can be meta-analyzed. 'CoTiMA' fits models to empirical data using the structural equation model (SEM) package 'ctsem', the effects specified in a SEM are related to parameters that are not directly included in the model (i.e., continuous time parameters; together, they represent the continuous time structural equation model, CTSEM). Statistical model comparisons and significance tests are then performed on the continuous time parameter estimates. 'CoTiMA' also allows analysis of publication bias (Egger's test, PET-PEESE estimates, zcurve analysis etc.) and analysis of statistical power (post hoc power, required sample sizes). See Dormann, C., Guthier, C., & Cortina, J. M. (2019) <doi:10.1177/1094428119847277>. and Guthier, C., Dormann, C., & Voelkle, M. C. (2020) <doi:10.1037/bul0000304>.
License: GPL-3
URL: https://github.com/CoTiMA/CoTiMA
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0), OpenMx (>= 2.18.1), ctsem (>= 3.3.11), lavaan (>= 0.6), foreach (>= 1.5.1)
Imports: MBESS (>= 4.6.0), crayon (>= 1.3.4), psych (>= 1.9.12), doParallel (>= 1.0.15), rootSolve (>= 1.8.2), abind (>= 1.4-5), RPushbullet (>= 0.3.3), openxlsx (>= 4.2.2), zcurve (>= 1.0.7), scholar (>= 0.2.0), stringi (>= 1.0.7), MASS
Suggests: R.rsp
VignetteBuilder: R.rsp
NeedsCompilation: no
Packaged: 2021-04-13 15:39:43 UTC; comst
Author: Christian Dormann [aut, cph], Markus Homberg [ctb, com, cre], Christina Guthier [ctb], Manuel Voelkle [ctb]
Maintainer: Markus Homberg <cotima@uni-mainz.de>
Repository: CRAN
Date/Publication: 2021-04-18 22:20:03 UTC

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Package act updated to version 1.0.2 with previous version 1.0.1 dated 2021-02-22

Title: Aligned Corpus Toolkit
Description: The Aligned Corpus Toolkit (act) is designed for linguists that work with time aligned transcription data. It offers functions to import and export various annotation file formats ('ELAN' .eaf, 'EXMARaLDA .exb and 'Praat' .TextGrid files), create print transcripts in the style of conversation analysis, search transcripts (span searches across multiple annotations, search in normalized annotations, make concordances etc.), export and re-import search results (.csv and 'Excel' .xlsx format), create cuts for the search results (print transcripts, audio/video cuts using 'FFmpeg' and video sub titles in 'Subrib title' .srt format), modify the data in a corpus (search/replace, delete, filter etc.), interact with 'Praat' using 'Praat'-scripts, and exchange data with the 'rPraat' package. The package is itself written in R and may be expanded by other users.
Author: Oliver Ehmer [aut, cre]
Maintainer: Oliver Ehmer <oliver.ehmer@romanistik.uni-freiburg.de>

Diff between act versions 1.0.1 dated 2021-02-22 and 1.0.2 dated 2021-04-18

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New package vcrpart with initial version 1.0-4
Package: vcrpart
Title: Tree-Based Varying Coefficient Regression for Generalized Linear and Ordinal Mixed Models
Version: 1.0-4
Date: 2021-04-15
Authors@R: c( person("Reto", "Buergin", role = c("aut", "cre", "cph"), email = "rbuergin@gmx.ch"), person("Gilbert", "Ritschard", role = c("ctb", "ths"), email = "gilbert.ritschard@unige.ch"))
Maintainer: Reto Buergin <rbuergin@gmx.ch>
Description: Recursive partitioning for varying coefficient generalized linear models and ordinal linear mixed models. Special features are coefficient-wise partitioning, non-varying coefficients and partitioning of time-varying variables in longitudinal regression.
License: GPL (>= 2)
Depends: R (>= 3.1.0), parallel, partykit
Imports: stats, grid, graphics, methods, nlme (>= 3.1-123), rpart, formula.tools, numDeriv, ucminf, zoo, sandwich, strucchange
LazyLoad: yes
NeedsCompilation: yes
Packaged: 2021-04-16 10:21:27 UTC; reto
Author: Reto Buergin [aut, cre, cph], Gilbert Ritschard [ctb, ths]
Repository: CRAN
Date/Publication: 2021-04-18 21:40:02 UTC

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Package TensorTest2D updated to version 1.0.1 with previous version 1.0.0 dated 2020-11-05

Title: Fitting Second-Order Tensor Data
Description: An implementation of fitting generalized linear models on second-order tensor type data. The functions within this package mainly focus on parameter estimation, including parameter coefficients and standard deviation.
Author: Mark Chen [aut, cre], Sheng-Mao Chang [aut], Wenbin Lu [aut], Jung-Ying Tzeng [aut]
Maintainer: Mark Chen <l501l501l@gmail.com>

Diff between TensorTest2D versions 1.0.0 dated 2020-11-05 and 1.0.1 dated 2021-04-18

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Package SPOT updated to version 2.4.2 with previous version 2.3.0 dated 2021-03-10

Title: Sequential Parameter Optimization Toolbox
Description: A set of tools for model-based optimization and tuning of algorithms. It includes surrogate models, optimizers, and design of experiment approaches. The main interface is spot, which uses sequentially updated surrogate models for the purpose of efficient optimization. The main goal is to ease the burden of objective function evaluations, when a single evaluation requires a significant amount of resources.
Author: Thomas Bartz-Beielstein [aut, cre] (<https://orcid.org/0000-0002-5938-5158>), Joerg Stork [aut] (0000-0002-7471-3498), Martin Zaefferer [aut] (<https://orcid.org/0000-0003-2372-2092>), Margarita Rebolledo [ctb], Christian Lasarczyk [ctb], Frederik Rehbach [aut] (<https://orcid.org/0000-0003-0922-8629>)
Maintainer: Thomas Bartz-Beielstein <tbb@bartzundbartz.de>

Diff between SPOT versions 2.3.0 dated 2021-03-10 and 2.4.2 dated 2021-04-18

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Package sperrorest updated to version 3.0.2 with previous version 3.0.1 dated 2020-05-26

Title: Perform Spatial Error Estimation and Variable Importance in Parallel
Description: Implements spatial error estimation and permutation-based variable importance measures for predictive models using spatial cross-validation and spatial block bootstrap.
Author: Alexander Brenning [aut, cre] (<https://orcid.org/0000-0001-6640-679X>), Patrick Schratz [aut] (<https://orcid.org/0000-0003-0748-6624>), Tobias Herrmann [aut] (<https://orcid.org/0000-0001-9768-0708>)
Maintainer: Alexander Brenning <alexander.brenning@uni-jena.de>

Diff between sperrorest versions 3.0.1 dated 2020-05-26 and 3.0.2 dated 2021-04-18

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Package spatstat.core updated to version 2.1-2 with previous version 2.0-0 dated 2021-03-23

Title: Core Functionality of the 'spatstat' Family
Description: Functionality for data analysis and modelling of spatial data, mainly spatial point patterns, in the 'spatstat' family of packages. (Excludes analysis of spatial data on a linear network, which is covered by the separate package 'spatstat.linnet'.) Exploratory methods include quadrat counts, K-functions and their simulation envelopes, nearest neighbour distance and empty space statistics, Fry plots, pair correlation function, kernel smoothed intensity, relative risk estimation with cross-validated bandwidth selection, mark correlation functions, segregation indices, mark dependence diagnostics, and kernel estimates of covariate effects. Formal hypothesis tests of random pattern (chi-squared, Kolmogorov-Smirnov, Monte Carlo, Diggle-Cressie-Loosmore-Ford, Dao-Genton, two-stage Monte Carlo) and tests for covariate effects (Cox-Berman-Waller-Lawson, Kolmogorov-Smirnov, ANOVA) are also supported. Parametric models can be fitted to point pattern data using the functions ppm(), kppm(), slrm(), dppm() similar to glm(). Types of models include Poisson, Gibbs and Cox point processes, Neyman-Scott cluster processes, and determinantal point processes. Models may involve dependence on covariates, inter-point interaction, cluster formation and dependence on marks. Models are fitted by maximum likelihood, logistic regression, minimum contrast, and composite likelihood methods. A model can be fitted to a list of point patterns (replicated point pattern data) using the function mppm(). The model can include random effects and fixed effects depending on the experimental design, in addition to all the features listed above. Fitted point process models can be simulated, automatically. Formal hypothesis tests of a fitted model are supported (likelihood ratio test, analysis of deviance, Monte Carlo tests) along with basic tools for model selection (stepwise(), AIC()) and variable selection (sdr). Tools for validating the fitted model include simulation envelopes, residuals, residual plots and Q-Q plots, leverage and influence diagnostics, partial residuals, and added variable plots.
Author: Adrian Baddeley [aut, cre], Rolf Turner [aut], Ege Rubak [aut], Kasper Klitgaard Berthelsen [ctb], Achmad Choiruddin [ctb], Jean-Francois Coeurjolly [ctb], Ottmar Cronie [ctb], Tilman Davies [ctb], Julian Gilbey [ctb], Yongtao Guan [ctb], Ute Hahn [ctb], Kassel Hingee [ctb], Abdollah Jalilian [ctb], Marie-Colette van Lieshout [ctb], Greg McSwiggan [ctb], Tuomas Rajala [ctb], Suman Rakshit [ctb], Dominic Schuhmacher [ctb], Rasmus Plenge Waagepetersen [ctb], Hangsheng Wang [ctb]
Maintainer: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>

Diff between spatstat.core versions 2.0-0 dated 2021-03-23 and 2.1-2 dated 2021-04-18

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Package soilDB updated to version 2.6.1 with previous version 2.5.9 dated 2021-01-26

Title: Soil Database Interface
Description: A collection of functions for reading data from USDA-NCSS soil databases.
Author: Dylan Beaudette [aut], Jay Skovlin [aut], Stephen Roecker [aut], Andrew Brown [aut, cre]
Maintainer: Andrew Brown <andrew.g.brown@usda.gov>

Diff between soilDB versions 2.5.9 dated 2021-01-26 and 2.6.1 dated 2021-04-18

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More information about soilDB at CRAN
Permanent link

Package SGPdata updated to version 25.0-0.0 with previous version 23.0-0.0 dated 2020-01-15

Title: Exemplar Data Sets for Student Growth Percentiles (SGP) Analyses
Description: Data sets utilized by the 'SGP' package as exemplars for users to conduct their own student growth percentiles (SGP) analyses.
Author: Damian W. Betebenner [aut, cre], Adam R. Van Iwaarden [aut], Ben Domingue [aut]
Maintainer: Damian W. Betebenner <dbetebenner@nciea.org>

Diff between SGPdata versions 23.0-0.0 dated 2020-01-15 and 25.0-0.0 dated 2021-04-18

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More information about SGPdata at CRAN
Permanent link

Package outsider.base updated to version 0.1.4 with previous version 0.1.3 dated 2020-06-14

Title: Base Package for 'Outsider'
Description: Base package for 'outsider' <https://github.com/ropensci/outsider>. The 'outsider' package and its sister packages enable the installation and running of external, command-line software within R. This base package is a key dependency of the user-facing 'outsider' package as it provides the utilities for interfacing between 'Docker' <https://www.docker.com> and R. It is intended that end-users of 'outsider' do not directly work with this base package.
Author: Dom Bennett [aut, cre] (<https://orcid.org/0000-0003-2722-1359>), Hannes Hettling [ctb] (<https://orcid.org/0000-0003-4144-2238>), Daniele Silvestro [ctb] (<https://orcid.org/0000-0003-0100-0961>), Rutger Vos [ctb] (<https://orcid.org/0000-0001-9254-7318>), Alexandre Antonelli [ctb] (<https://orcid.org/0000-0003-1842-9297>), Anna Krystalli [rev]
Maintainer: Dom Bennett <dominic.john.bennett@gmail.com>

Diff between outsider.base versions 0.1.3 dated 2020-06-14 and 0.1.4 dated 2021-04-18

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Package MetabolomicsBasics updated to version 1.2 with previous version 1.1 dated 2018-11-12

Title: Basic Functions to Investigate Metabolomics Data Matrices
Description: A set of functions to investigate raw data from (metabol)omics experiments intended to be used on a raw data matrix, i.e. following peak picking and signal deconvolution. Functions can be used to normalize data, detect biomarkers and perform sample classification.
Author: Jan Lisec [aut, cre]
Maintainer: Jan Lisec <jan.lisec@bam.de>

Diff between MetabolomicsBasics versions 1.1 dated 2018-11-12 and 1.2 dated 2021-04-18

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Permanent link

New package LSTS with initial version 2.0
Package: LSTS
Title: Locally Stationary Time Series
Version: 2.0
Authors@R: c( person("Ricardo", "Olea", role = c("aut", "cph"), email = "raolea@uc.cl"), person("Wilfredo", "Palma", role = c("aut", "cph"), email = "wpalma@uc.cl"), person("Pilar", "Rubio", role = c("aut"), email = "parubio@puc.cl"), person("Mauricio", "Vargas", role = c("aut", "cre"), email = "mavargas11@uc.cl", comment = c(ORCID = "0000-0003-1017-7574")), person(family = "National Oceanic and Atmospheric Administration (NOAA)", role = c("dtc")) )
Description: A set of functions that allow stationary analysis and locally stationary time series analysis. The principal references are Dahlhaus (1997) <doi:10.1214/aos/1034276620>, Dahlhaus and Giraitis (1998) <doi:10.1111/1467-9892.00114>, Brockwell, et al. (2002) <isbn:978-3-319-29854-2>, Ljung and Box (1978) <doi:10.1093/biomet/65.2.297>, Palma (2007) <isbn:978-0-470-11402-5>, Palma, et al. (2011) <doi:10.1002/for.1259>, and Palma and Olea (2010) <doi:10.1214/10-AOS812>.
URL: https://pacha.dev/LSTS/
BugReports: https://github.com/pachamaltese/LSTS/issues/
Imports: stats, Rdpack, ggplot2, scales, patchwork
RdMacros: Rdpack
Depends: R (>= 3.6.0)
License: Apache License (>= 2)
Encoding: UTF-8
LazyData: true
Suggests: testthat (>= 2.1.0)
NeedsCompilation: no
Packaged: 2021-04-07 18:52:37 UTC; pacha
Author: Ricardo Olea [aut, cph], Wilfredo Palma [aut, cph], Pilar Rubio [aut], Mauricio Vargas [aut, cre] (<https://orcid.org/0000-0003-1017-7574>), National Oceanic and Atmospheric Administration (NOAA) [dtc]
Maintainer: Mauricio Vargas <mavargas11@uc.cl>
Repository: CRAN
Date/Publication: 2021-04-18 21:50:18 UTC

More information about LSTS at CRAN
Permanent link

New package KODAMA with initial version 1.6
Package: KODAMA
Version: 1.6
Date: 2021-04-16
Authors@R: c(person("Stefano", "Cacciatore", role = c("aut", "trl", "cre"),email = "tkcaccia@gmail.com", comment = c(ORCID = "0000-0001-7052-7156")), person("Leonardo", "Tenori", role = "aut",email = "tenori@cerm.unifi.it", comment = c(ORCID = "0000-0001-6438-059X")))
Maintainer: Stefano Cacciatore <tkcaccia@gmail.com>
Title: Knowledge Discovery by Accuracy Maximization
Description: An unsupervised and semi-supervised learning algorithm that performs feature extraction from noisy and high-dimensional data. It facilitates identification of patterns representing underlying groups on all samples in a data set. Based on Cacciatore S, Tenori L, Luchinat C, Bennett PR, MacIntyre DA. (2017) Bioinformatics <doi:10.1093/bioinformatics/btw705> and Cacciatore S, Luchinat C, Tenori L. (2014) Proc Natl Acad Sci USA <doi:10.1073/pnas.1220873111>.
Depends: R (>= 2.10.0), stats
Imports: Rcpp (>= 0.12.4)
LinkingTo: Rcpp, RcppArmadillo
Suggests: rgl, knitr, rmarkdown
VignetteBuilder: knitr
SuggestsNote: No suggestions
License: GPL (>= 2)
Packaged: 2021-04-16 11:10:21 UTC; stefano
NeedsCompilation: yes
Repository: CRAN
Author: Stefano Cacciatore [aut, trl, cre] (<https://orcid.org/0000-0001-7052-7156>), Leonardo Tenori [aut] (<https://orcid.org/0000-0001-6438-059X>)
Date/Publication: 2021-04-18 22:00:13 UTC

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Package ffscrapr updated to version 1.4.1 with previous version 1.4.0 dated 2021-04-13

Title: API Client for Fantasy Football League Platforms
Description: Helps access various Fantasy Football APIs by handling authentication and rate-limiting, forming appropriate calls, and returning tidy dataframes which can be easily connected to other data sources.
Author: Tan Ho [aut, cre], Tony ElHabr [ctb], Joe Sydlowski [ctb]
Maintainer: Tan Ho <tan@tanho.ca>

Diff between ffscrapr versions 1.4.0 dated 2021-04-13 and 1.4.1 dated 2021-04-18

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Package climate updated to version 1.0.0 with previous version 0.9.9 dated 2021-01-08

Title: Interface to Download Meteorological (and Hydrological) Datasets
Description: Automatize downloading of meteorological and hydrological data from publicly available repositories: OGIMET (<http://ogimet.com/index.phtml.en>), University of Wyoming - atmospheric vertical profiling data (<http://weather.uwyo.edu/upperair/>), Polish Institute of Meterology and Water Management - National Research Institute (<https://danepubliczne.imgw.pl>), and National Oceanic & Atmospheric Administration (NOAA). This package also allows for adding geographical coordinates for each observation.
Author: Bartosz Czernecki [aut, cre] (<https://orcid.org/0000-0001-6496-1386>), Arkadiusz Głogowski [aut] (<https://orcid.org/0000-0002-7587-8892>), Jakub Nowosad [aut] (<https://orcid.org/0000-0002-1057-3721>), IMGW-PIB [ctb] (source of the data)
Maintainer: Bartosz Czernecki <nwp@amu.edu.pl>

Diff between climate versions 0.9.9 dated 2021-01-08 and 1.0.0 dated 2021-04-18

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New package chronosphere with initial version 0.4.1
Package: chronosphere
Title: Earth System History Variables
Version: 0.4.1
Author: Adam T. Kocsis, Nussaibah B. Raja
Collate: zzz.R classes.R data.R colours.R reconstruction.R utility.R platemodel.R fetching.R info.R XArray-base.R XArray-combine.R XArray-xattrib.R XArray-subset.R XArray-apply.R RasterArray-base.R RasterArray-cast.R RasterArray-combine.R RasterArray-groupgen.R RasterArray-raster.R RasterArray-subset.R RasterArray-xattrib.R SpatialStack-base.R SpatialStack-sp.R SpatialStack-subset.R SpatialArray-base.R SpatialArray-sp.R SpatialArray-cast.R SpatialArray-combine.R SpatialArray-subset.R inter.R plotting.R
Maintainer: Adam T. Kocsis <adam.t.kocsis@gmail.com>
Description: The purpose of the 'chronosphere' project is to facilitate spatially explicit analyses of (paleo)environmental/ecological research. The package serves as a gateway to plate tectonic reconstructions, deep time global climate model results as well as fossil occurrence datasets such as the Paleobiology Database <https://paleobiodb.org/> and the PaleoReefs Database <https://www.paleo-reefs.pal.uni-erlangen.de/>. Environmental data stored on a remote server can be downloaded and imported directly to the R environment. Query functions to the GPlates <https://www.gplates.org/> desktop application or the GPlates Web Service <https://gws.gplates.org/> allow users to reconstruct coordinates, static plates, and Spatial objects. A wrapper class 'RasterArray' is implemented around the 'RasterLayer' class, allowing the organization of spatially explicit raster data in n-dimensional arrays. The project is developed under the umbrella of the DFG (Deutsche Forschungsgemeinschaft) Research Unit TERSANE2 (For 2332, TEmperature Related Stressors in ANcient Extinctions).
License: CC BY 4.0
Date: 2021-04-16
BugReports: https://github.com/chronosphere-portal/r_package/issues
Encoding: UTF-8
LazyData: false
Depends: R (>= 3.5.0), raster, sp
Imports: graphics, methods, grDevices, utils
NeedsCompilation: no
VignetteBuilder: knitr
Suggests: jpeg, knitr, ncdf4, rgdal, rmarkdown
Packaged: 2021-04-16 13:17:09 UTC; root
Repository: CRAN
Date/Publication: 2021-04-18 21:50:07 UTC

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New package bigalgebra with initial version 1.0.0
Package: bigalgebra
Title: 'BLAS' and 'LAPACK' Routines for Native R Matrices and 'big.matrix' Objects
Version: 1.0.0
Date: 2021-04-13
Depends: bigmemory (>= 4.0.0)
Imports: methods
LinkingTo: bigmemory, BH, Rcpp
Authors@R: c( person(given = "Frederic", family= "Bertrand", role = c("cre", "ctb"), email = "frederic.bertrand@utt.fr", comment = c(ORCID = "0000-0002-0837-8281")), person(given = "Michael J.", family= "Kane", role = c("aut")), person(given = "Bryan", family= "Lewis", role = c("aut")), person(given = "John W.", family= "Emerson", role = c("aut")))
Author: Frederic Bertrand [cre, ctb] (<https://orcid.org/0000-0002-0837-8281>), Michael J. Kane [aut], Bryan Lewis [aut], John W. Emerson [aut]
Maintainer: Frederic Bertrand <frederic.bertrand@utt.fr>
Description: Provides arithmetic functions for R matrix and 'big.matrix' objects as well as functions for QR factorization, Cholesky factorization, General eigenvalue, and Singular value decomposition (SVD). A method matrix multiplication and an arithmetic method -for matrix addition, matrix difference- allows for mixed type operation -a matrix class object and a big.matrix class object- and pure type operation for two big.matrix class objects.
License: LGPL-3 | Apache License 2.0
Encoding: UTF-8
Copyright: (C) 2014 Michael J. Kane, Bryan Lewis, and John W. Emerson
LazyLoad: yes
NeedsCompilation: yes
URL: https://fbertran.github.io/bigalgebra/, https://github.com/fbertran/bigalgebra/
BugReports: https://github.com/fbertran/bigalgebra/issues/
Packaged: 2021-04-16 10:43:31 UTC; fbertran
Repository: CRAN
Date/Publication: 2021-04-18 22:00:07 UTC

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New package ausplotsR with initial version 1.2.4
Package: ausplotsR
Title: TERN AusPlots Analysis Package
Version: 1.2.4
Date: 2021-4-15
Authors@R: c( person("Greg", "Guerin", email = "ggueri01@gmail.com", role = c("aut", "cre")), person("Tom", "Saleeba", role = "aut"), person("Samantha", "Munroe", role = "aut"), person("Bernardo", "Blanco-Martin", role="aut"), person("Irene", "Martín-Forés", role = "aut"), person("Andrew", "Tokmakoff", role = "aut"))
Maintainer: Greg Guerin <ggueri01@gmail.com>
Depends: R (>= 3.1.0), vegan, maps, mapdata
Suggests: knitr, rmarkdown
Imports: plyr, R.utils, simba, httr, jsonlite, sp, maptools, ggplot2, gtools, jose, betapart, curl
Description: Extraction, preparation, visualisation and analysis of TERN AusPlots ecosystem monitoring data. Direct access to plot-based data on vegetation and soils across Australia, including physical sample barcode numbers. Simple function calls extract the data and merge them into species occurrence matrices for downstream analysis, or calculate things like basal area and fractional cover. TERN AusPlots is a national field plot-based ecosystem surveillance monitoring method and dataset for Australia. The data have been collected across a national network of plots and transects by the Terrestrial Ecosystem Research Network (TERN - <https://www.tern.org.au>), an Australian Government NCRIS-enabled project, and its Ecosystem Surveillance platform (<https://www.tern.org.au/tern-observatory/tern-ecosystem-surveillance/>).
License: GPL-3
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2021-04-16 08:00:51 UTC; GregG
Author: Greg Guerin [aut, cre], Tom Saleeba [aut], Samantha Munroe [aut], Bernardo Blanco-Martin [aut], Irene Martín-Forés [aut], Andrew Tokmakoff [aut]
Repository: CRAN
Date/Publication: 2021-04-18 22:00:10 UTC

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Package spsur updated to version 1.0.1.8 with previous version 1.0.1.7 dated 2021-04-09

Title: Spatial Seemingly Unrelated Regression Models
Description: A collection of functions to test and estimate Seemingly Unrelated Regression (usually called SUR) models, with spatial structure, by maximum likelihood and three-stage least squares. The package estimates the most common spatial specifications, that is, SUR with Spatial Lag of X regressors (called SUR-SLX), SUR with Spatial Lag Model (called SUR-SLM), SUR with Spatial Error Model (called SUR-SEM), SUR with Spatial Durbin Model (called SUR-SDM), SUR with Spatial Durbin Error Model (called SUR-SDEM), SUR with Spatial Autoregressive terms and Spatial Autoregressive Disturbances (called SUR-SARAR), SUR-SARAR with Spatial Lag of X regressors (called SUR-GNM) and SUR with Spatially Independent Model (called SUR-SIM). The methodology of these models can be found in next references Mur, J., Lopez, F., and Herrera, M. (2010) <doi:10.1080/17421772.2010.516443> Lopez, F.A., Mur, J., and Angulo, A. (2014) <doi:10.1007/s00168-014-0624-2>.
Author: Ana Angulo [aut], Fernando A Lopez [aut], Roman Minguez [aut, cre], Jesus Mur [aut]
Maintainer: Roman Minguez <roman.minguez@uclm.es>

Diff between spsur versions 1.0.1.7 dated 2021-04-09 and 1.0.1.8 dated 2021-04-18

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 29 files changed, 6514 insertions(+), 6533 deletions(-)

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Package PAMA updated to version 1.0.1 with previous version 1.0.0 dated 2021-04-14

Title: Rank Aggregation with Partition Mallows Model
Description: Rank aggregation aims to achieve a better ranking list given multiple observations. 'PAMA' implements Partition-Mallows model for rank aggregation where the rankers' quality are different. Both Bayesian inference and Maximum likelihood estimation (MLE) are provided. It can handle partial list as well. When covariates information is available, this package can make inference by incorporating the covariate information. More information can be found in the paper "Integrated Partition-Mallows Model and Its Inference for Rank Aggregation".
Author: Wanchuang Zhu [cre, aut]
Maintainer: Wanchuang Zhu <andy.chou.sub@gmail.com>

Diff between PAMA versions 1.0.0 dated 2021-04-14 and 1.0.1 dated 2021-04-18

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New package latticeDensity with initial version 1.2.6
Package: latticeDensity
Title: Density Estimation and Nonparametric Regression on Irregular Regions
Version: 1.2.6
Date: 2021-04-14
Author: Ronald Barry <rpbarry@alaska.edu>
Maintainer: Ronald Barry <rpbarry@alaska.edu>
Depends: R (>= 3.5.0), spatstat (>= 2.0-0), spatstat.geom
Imports: splancs, spdep, spam, stats, utils, graphics, grDevices, sp, spatialreg, sf
LazyData: true
Suggests: knitr, devtools, roxygen2, testthat, rmarkdown, rgdal
Encoding: UTF-8
Description: Functions that compute the lattice-based density estimator of Barry and McIntyre, which accounts for point processes in two-dimensional regions with irregular boundaries and holes. The package also implements two-dimensional non-parametric regression for similar regions.
License: GPL-2
URL: www.r-project.org
Packaged: 2021-04-18 02:48:41 UTC; ronaldbarry
Repository: CRAN
Date/Publication: 2021-04-18 16:20:02 UTC
VignetteBuilder: knitr
NeedsCompilation: no

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New package ForestTools with initial version 0.2.4
Package: ForestTools
Title: Analyzing Remotely Sensed Forest Data
Version: 0.2.4
Date: 2021-04-12
Author: Andrew Plowright, Jean-Romain Roussel
Maintainer: Andrew Plowright <andrew.plowright@alumni.ubc.ca>
Description: Provides tools for analyzing remotely sensed forest data, including functions for detecting treetops from canopy models, outlining tree crowns, calculating textural metrics and generating spatial statistics.
Depends: R (>= 4.0)
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
LinkingTo: Rcpp
Imports: APfun, doParallel, foreach, imager, methods, parallel, plyr, progress, raster, Rcpp, rgeos, sp
Suggests: testthat, knitr, rmarkdown
URL: https://github.com/andrew-plowright/ForestTools
BugReports: https://github.com/andrew-plowright/ForestTools/issues
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2021-04-17 04:32:19 UTC; andre
Repository: CRAN
Date/Publication: 2021-04-18 16:30:05 UTC

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New package bRacatus with initial version 1.0.3
Package: bRacatus
Title: A Method to Estimate the Accuracy and Biogeographical Status of Georeferenced Biological Data
Version: 1.0.3
Language: en-GB
Authors@R: c(person("Eduardo", "Arlé", email = "eduardo.arle@idiv.de", role = c("aut", "cre")), person("Alexander","Zizka",email = "alexaner.zizka@idiv.de", role = "aut"), person("Patrick","Weigelt",email = "weigelt.patrick@gmail.com", role = "ctb"), person("Sam","Levin",email = "sam.levin@idiv.de", role = "ctb"), person("Carsten","Meyer",email = "carsten.meyer@idiv.de", role = "ths"))
Description: Automated assessment of accuracy and geographical status of georeferenced biological data. The methods rely on reference regions, namely checklists and range maps. Includes functions to obtain data from the Global Biodiversity Information Facility <https://www.gbif.org/> and from the Global Inventory of Floras and Traits <https://gift.uni-goettingen.de/home>. Alternatively, the user can input their own data. Furthermore, provides easy visualisation of the data and the results through the plotting functions. Especially suited for large datasets. The reference for the methodology is: Arlé et al. (under review).
Depends: R (>= 3.5.0)
Imports: data.table, geojsonio, graphics, grDevices, jsonlite, maptools, methods, plotfunctions, raster, rgbif, rgeos, rworldmap, sp, stats
License: GPL (>= 2)
Encoding: UTF-8
URL: https://github.com/EduardoArle/bRacatus
BugReports: https://github.com/EduardoArle/bRacatus/issues
LazyData: true
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-04-17 16:26:24 UTC; ca13kute
Author: Eduardo Arlé [aut, cre], Alexander Zizka [aut], Patrick Weigelt [ctb], Sam Levin [ctb], Carsten Meyer [ths]
Maintainer: Eduardo Arlé <eduardo.arle@idiv.de>
Repository: CRAN
Date/Publication: 2021-04-18 16:30:02 UTC

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Package jrvFinance updated to version 1.4.2 with previous version 1.4.1 dated 2019-03-15

Title: Basic Finance; NPV/IRR/Annuities/Bond-Pricing; Black Scholes
Description: Implements the basic financial analysis functions similar to (but not identical to) what is available in most spreadsheet software. This includes finding the IRR and NPV of regularly spaced cash flows and annuities. Bond pricing and YTM calculations are included. In addition, Black Scholes option pricing and Greeks are also provided.
Author: Jayanth Varma [aut, cre]
Maintainer: Jayanth Varma <jrvarma@iima.ac.in>

Diff between jrvFinance versions 1.4.1 dated 2019-03-15 and 1.4.2 dated 2021-04-18

 DESCRIPTION                   |   15 -
 MD5                           |   30 +--
 NEWS.md                       |    4 
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 build/vignette.rds            |binary
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 16 files changed, 386 insertions(+), 420 deletions(-)

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Package spinifex updated to version 0.2.8 with previous version 0.2.7 dated 2020-11-18

Title: Manual Tours, Manual Control of Dynamic Projections of Numeric Multivariate Data
Description: Data visualization tours animates linear projection of multivariate data as its basis (ie. orientation) changes. The 'spinifex' packages generates paths for manual tours by manipulating the contribution of a single variable at a time ['Cook' & 'Buja' (1997) <doi:10.2307/1390747>]. Other types of tours, such as grand (random walk) and guided (optimizing some objective function) are available in the 'tourr' package ['Wickham' 'et' 'al.' (2011) <doi:10.18637/jss.v040.i02>]. 'spinifex' builds on 'tourr' and can render tours with 'gganimate' and 'plotly' graphics, and allows for exporting as an .html widget and as an .gif, respectively. This work is fully discussed at ['Spyrison' & 'Cook' (2020) <doi:10.32614/RJ-2020-027>.
Author: Nicholas Spyrison [aut, cre], Dianne Cook [aut, ths]
Maintainer: Nicholas Spyrison <spyrison@gmail.com>

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Package rMVP updated to version 1.0.6 with previous version 1.0.5 dated 2021-03-02

Title: Memory-Efficient, Visualize-Enhanced, Parallel-Accelerated GWAS Tool
Description: A memory-efficient, visualize-enhanced, parallel-accelerated Genome-Wide Association Study (GWAS) tool. It can (1) effectively process large data, (2) rapidly evaluate population structure, (3) efficiently estimate variance components several algorithms, (4) implement parallel-accelerated association tests of markers three methods, (5) globally efficient design on GWAS process computing, (6) enhance visualization of related information. 'rMVP' contains three models GLM (Alkes Price (2006) <DOI:10.1038/ng1847>), MLM (Jianming Yu (2006) <DOI:10.1038/ng1702>) and FarmCPU (Xiaolei Liu (2016) <doi:10.1371/journal.pgen.1005767>); variance components estimation methods EMMAX (Hyunmin Kang (2008) <DOI:10.1534/genetics.107.080101>;), FaSTLMM (method: Christoph Lippert (2011) <DOI:10.1038/nmeth.1681>, R implementation from 'GAPIT2': You Tang and Xiaolei Liu (2016) <DOI:10.1371/journal.pone.0107684> and 'SUPER': Qishan Wang and Feng Tian (2014) <DOI:10.1371/journal.pone.0107684>), and HE regression (Xiang Zhou (2017) <DOI:10.1214/17-AOAS1052>).
Author: Lilin Yin [aut], Haohao Zhang [aut], Zhenshuang Tang [aut], Jingya Xu [aut], Dong Yin [aut], Zhiwu Zhang [aut], Xiaohui Yuan [aut], Mengjin Zhu [aut], Shuhong Zhao [aut], Xinyun Li [aut], Qishan Wang [ctb], Feng Tian [ctb], Hyunmin Kang [ctb], Xiang Zhou [ctb], Xiaolei Liu [cre, aut, cph]
Maintainer: Xiaolei Liu <xiaoleiliu@mail.hzau.edu.cn>

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Package rdnb updated to version 0.1-4 with previous version 0.1-3 dated 2019-04-10

Title: R Interface to the 'Deutsche Nationalbibliothek (German National Library) API'
Description: A wrapper for the 'Deutsche Nationalbibliothek (German National Library) API', available at <https://www.dnb.de>. The German National Library is the German central archival library, collecting, archiving, bibliographically classifying all German and German-language publications, foreign publications about Germany, translations of German works, and the works of German-speaking emigrants published abroad between 1933 and 1945.
Author: Christian Graul [aut, cre]
Maintainer: Christian Graul <christian.graul@gmail.com>

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Package IDSA updated to version 2.1 with previous version 1.2 dated 2021-01-28

Title: An Interactive Detector for Spatial Associations
Description: Method of interactive detector for spatial associations (IDSA) as described in Yongze Song (2021) <doi:10.1080/13658816.2021.1882680>. IDSA is used to quantify the power of interactive determinant (PID) between a spatial response variable and explanatory variables. IDSA is developed based on methods of spatial heterogeneity.
Author: Yongze Song [aut, cre] (<https://orcid.org/0000-0003-3420-9622>)
Maintainer: Yongze Song <yongze.song@postgrad.curtin.edu.au>

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Package mistat updated to version 2.0.3 with previous version 1.0-5 dated 2018-01-08

Title: Data Sets, Functions and Examples from the Book: "Modern Industrial Statistics" by Kenett, Zacks and Amberti
Description: Provide all the data sets and statistical analysis applications used in "Modern Industrial Statistics: with applications in R, MINITAB and JMP" by R.S. Kenett and S. Zacks with contributions by D. Amberti, John Wiley and Sons, 2021, which is a third revised and expanded revision of "Modern Industrial Statistics: Design and Control of Quality and Reliability", R. Kenett and S. Zacks, Duxbury/Wadsworth Publishing, 1998.
Author: Daniele Amberti
Maintainer: Daniele Amberti <daniele.amberti@gmail.com>

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Package Rvmmin updated to version 2018-4.17.1 with previous version 2018-4.17 dated 2018-04-17

Title: Variable Metric Nonlinear Function Minimization
Description: Variable metric nonlinear function minimization with bounds constraints.
Author: John C. Nash [aut, cre]
Maintainer: John C. Nash <nashjc@uottawa.ca>

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Package ramcmc updated to version 0.1.1 with previous version 0.1.0-1.1 dated 2020-10-14

Title: Robust Adaptive Metropolis Algorithm
Description: Function for adapting the shape of the random walk Metropolis proposal as specified by robust adaptive Metropolis algorithm by Vihola (2012) <DOI:10.1007/s11222-011-9269-5>. The package also includes fast functions for rank-one Cholesky update and downdate. These functions can be used directly from R or the corresponding C++ header files can be easily linked to other R packages.
Author: Jouni Helske [aut, cre] (<https://orcid.org/0000-0001-7130-793X>)
Maintainer: Jouni Helske <jouni.helske@iki.fi>

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Package withr updated to version 2.4.2 with previous version 2.4.1 dated 2021-01-26

Title: Run Code 'With' Temporarily Modified Global State
Description: A set of functions to run code 'with' safely and temporarily modified global state. Many of these functions were originally a part of the 'devtools' package, this provides a simple package with limited dependencies to provide access to these functions.
Author: Jim Hester [aut, cre], Kirill Müller [aut], Kevin Ushey [aut], Hadley Wickham [aut], Winston Chang [aut], Jennifer Bryan [ctb], Richard Cotton [ctb], RStudio [cph]
Maintainer: Jim Hester <jim.hester@rstudio.com>

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Package Rdimtools updated to version 1.0.6 with previous version 1.0.4 dated 2020-09-07

Title: Dimension Reduction and Estimation Methods
Description: We provide linear and nonlinear dimension reduction techniques. Intrinsic dimension estimation methods for exploratory analysis are also provided. For more details on the package, see the paper by You (2020) <arXiv:2005.11107>.
Author: Kisung You [aut, cre] (<https://orcid.org/0000-0002-8584-459X>), Changhee Suh [ctb]
Maintainer: Kisung You <kyoustat@gmail.com>

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Package mgcv updated to version 1.8-35 with previous version 1.8-34 dated 2021-02-16

Title: Mixed GAM Computation Vehicle with Automatic Smoothness Estimation
Description: Generalized additive (mixed) models, some of their extensions and other generalized ridge regression with multiple smoothing parameter estimation by (Restricted) Marginal Likelihood, Generalized Cross Validation and similar, or using iterated nested Laplace approximation for fully Bayesian inference. See Wood (2017) <doi:10.1201/9781315370279> for an overview. Includes a gam() function, a wide variety of smoothers, 'JAGS' support and distributions beyond the exponential family.
Author: Simon Wood <simon.wood@r-project.org>
Maintainer: Simon Wood <simon.wood@r-project.org>

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Package mc2d updated to version 0.1-19 with previous version 0.1-18 dated 2017-03-06

Title: Tools for Two-Dimensional Monte-Carlo Simulations
Description: A complete framework to build and study Two-Dimensional Monte-Carlo simulations, aka Second-Order Monte-Carlo simulations. Also includes various distributions (pert, triangular, Bernoulli, empirical discrete and continuous).
Author: Regis Pouillot [aut, cre], Marie-Laure Delignette-Muller [ctb], Jean-Baptiste Denis [ctb]
Maintainer: Regis Pouillot <rpouillot@yahoo.fr>

Diff between mc2d versions 0.1-18 dated 2017-03-06 and 0.1-19 dated 2021-04-18

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Package lmkCHK (with last version 1.0.0) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2020-10-01 1.0.0

Permanent link
Package tibble updated to version 3.1.1 with previous version 3.1.0 dated 2021-02-25

Title: Simple Data Frames
Description: Provides a 'tbl_df' class (the 'tibble') that provides stricter checking and better formatting than the traditional data frame.
Author: Kirill Müller [aut, cre], Hadley Wickham [aut], Romain Francois [ctb], Jennifer Bryan [ctb], RStudio [cph]
Maintainer: Kirill Müller <krlmlr+r@mailbox.org>

Diff between tibble versions 3.1.0 dated 2021-02-25 and 3.1.1 dated 2021-04-18

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Package filesstrings updated to version 3.2.2 with previous version 3.2.1 dated 2020-10-18

Title: Handy File and String Manipulation
Description: This started out as a package for file and string manipulation. Since then, the 'fs' and 'strex' packages emerged, offering functionality previously given by this package (but it's done better in these new ones). Those packages have hence almost pushed 'filesstrings' into extinction. However, it still has a small number of unique, handy file manipulation functions which can be seen in the vignette. One example is a function to remove spaces from all file names in a directory.
Author: Rory Nolan [aut, cre, cph] (<https://orcid.org/0000-0002-5239-4043>), Sergi Padilla-Parra [ths] (<https://orcid.org/0000-0002-8010-9481>)
Maintainer: Rory Nolan <rorynoolan@gmail.com>

Diff between filesstrings versions 3.2.1 dated 2020-10-18 and 3.2.2 dated 2021-04-18

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Package cvCovEst updated to version 0.3.5 with previous version 0.3.4 dated 2021-03-06

Title: Cross-Validated Covariance Matrix Estimation
Description: An efficient cross-validated approach for covariance matrix estimation, particularly useful in high-dimensional settings. This method relies upon the theory of loss-based estimator selection to identify the optimal estimator of the covariance matrix from among a prespecified set of candidates.
Author: Philippe Boileau [aut, cre, cph] (<https://orcid.org/0000-0002-4850-2507>), Nima Hejazi [aut] (<https://orcid.org/0000-0002-7127-2789>), Brian Collica [aut], Jamarcus Liu [ctb], Mark van der Laan [ctb, ths] (<https://orcid.org/0000-0003-1432-5511>), Sandrine Dudoit [ctb, ths] (<https://orcid.org/0000-0002-6069-8629>)
Maintainer: Philippe Boileau <philippe_boileau@berkeley.edu>

Diff between cvCovEst versions 0.3.4 dated 2021-03-06 and 0.3.5 dated 2021-04-18

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Package autoplotly updated to version 0.1.4 with previous version 0.1.3 dated 2021-04-16

Title: Automatic Generation of Interactive Visualizations for Statistical Results
Description: Functionalities to automatically generate interactive visualizations for statistical results supported by 'ggfortify', such as time series, PCA, clustering and survival analysis, with 'plotly.js' <https://plotly.com/> and 'ggplot2' style. The generated visualizations can also be easily extended using 'ggplot2' and 'plotly' syntax while staying interactive.
Author: Yuan Tang [aut, cre] (<https://orcid.org/0000-0001-5243-233X>)
Maintainer: Yuan Tang <terrytangyuan@gmail.com>

Diff between autoplotly versions 0.1.3 dated 2021-04-16 and 0.1.4 dated 2021-04-18

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Package geysertimes (with last version 0.1.5) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2021-04-10 0.1.5
2021-01-18 0.1.2

Permanent link
Package EFDR updated to version 1.2 with previous version 1.0 dated 2019-05-20

Title: Wavelet-Based Enhanced FDR for Detecting Signals from Complete or Incomplete Spatially Aggregated Data
Description: Enhanced False Discovery Rate (EFDR) is a tool to detect anomalies in an image. The image is first transformed into the wavelet domain in order to decorrelate any noise components, following which the coefficients at each resolution are standardised. Statistical tests (in a multiple hypothesis testing setting) are then carried out to find the anomalies. The power of EFDR exceeds that of standard FDR, which would carry out tests on every wavelet coefficient: EFDR choose which wavelets to test based on a criterion described in Shen et al. (2002). The package also provides elementary tools to interpolate spatially irregular data onto a grid of the required size. The work is based on Shen, X., Huang, H.-C., and Cressie, N. 'Nonparametric hypothesis testing for a spatial signal.' Journal of the American Statistical Association 97.460 (2002): 1122-1140.
Author: Andrew Zammit-Mangion [aut, cre], Hsin-Cheng Huang [aut]
Maintainer: Andrew Zammit-Mangion <andrewzm@gmail.com>

Diff between EFDR versions 1.0 dated 2019-05-20 and 1.2 dated 2021-04-18

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Package yorkr updated to version 0.0.21 with previous version 0.0.20 dated 2021-04-09

Title: Analyze Cricket Performances Based on Data from Cricsheet
Description: Analyzing performances of cricketers and cricket teams based on 'yaml' match data from Cricsheet <https://cricsheet.org/>.
Author: Tinniam V Ganesh
Maintainer: Tinniam V Ganesh <tvganesh.85@gmail.com>

Diff between yorkr versions 0.0.20 dated 2021-04-09 and 0.0.21 dated 2021-04-18

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Package ubiquity updated to version 1.0.4 with previous version 1.0.3 dated 2020-09-13

Title: PKPD, PBPK, and Systems Pharmacology Modeling Tools
Description: Complete work flow for the analysis of pharmacokinetic pharmacodynamic (PKPD), physiologically-based pharmacokinetic (PBPK) and systems pharmacology models including: creation of ordinary differential equation-based models, pooled parameter estimation, individual/population based simulations, rule-based simulations for clinical trial design and modeling assays, deployment with a customizable 'Shiny' app, and non-compartmental analysis. System-specific analysis templates can be generated and each element includes integrated reporting with 'PowerPoint' and 'Word'.
Author: John Harrold [aut, cre] (<https://orcid.org/0000-0003-2052-4373>)
Maintainer: John Harrold <john.m.harrold@gmail.com>

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Package strex updated to version 1.4.2 with previous version 1.4.1 dated 2020-10-17

Title: Extra String Manipulation Functions
Description: There are some things that I wish were easier with the 'stringr' or 'stringi' packages. The foremost of these is the extraction of numbers from strings. 'stringr' and 'stringi' make you figure out the regular expression for yourself; 'strex' takes care of this for you. There are many other handy functionalities in 'strex'. Contributions to this package are encouraged: it is intended as a miscellany of string manipulation functions that cannot be found in 'stringi' or 'stringr'.
Author: Rory Nolan [aut, cre] (<https://orcid.org/0000-0002-5239-4043>)
Maintainer: Rory Nolan <rorynoolan@gmail.com>

Diff between strex versions 1.4.1 dated 2020-10-17 and 1.4.2 dated 2021-04-18

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Package sparsevar updated to version 0.1.0 with previous version 0.0.11 dated 2019-08-19

Title: Sparse VAR/VECM Models Estimation
Description: A wrapper for sparse VAR/VECM time series models estimation using penalties like ENET (Elastic Net), SCAD (Smoothly Clipped Absolute Deviation) and MCP (Minimax Concave Penalty). Based on the work of Sumanta Basu and George Michailidis <doi:10.1214/15-AOS1315>.
Author: Simone Vazzoler [aut, cre]
Maintainer: Simone Vazzoler <svazzole@gmail.com>

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 sparsevar-0.1.0/sparsevar/NEWS.md                                                                             |   10 
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 sparsevar-0.1.0/sparsevar/R/fitVAR.R                                                                          |  250 ++---
 sparsevar-0.1.0/sparsevar/R/fitVARX.R                                                                         |   50 -
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 sparsevar-0.1.0/sparsevar/R/plotIRF.R                                                                         |  137 +--
 sparsevar-0.1.0/sparsevar/R/plotMatrix.R                                                                      |  126 +-
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 sparsevar-0.1.0/sparsevar/R/simulateVARX.R                                                                    |  144 +--
 sparsevar-0.1.0/sparsevar/R/sparsevar.R                                                                       |   16 
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 sparsevar-0.1.0/sparsevar/R/twoStepOLS.R                                                                      |   63 -
 sparsevar-0.1.0/sparsevar/R/utils.R                                                                           |   62 -
 sparsevar-0.1.0/sparsevar/R/utilsVAR.R                                                                        |  153 +--
 sparsevar-0.1.0/sparsevar/README.md                                                                           |    9 
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 sparsevar-0.1.0/sparsevar/man/checkImpulseZero.Rd                                                             |    2 
 sparsevar-0.1.0/sparsevar/man/computeForecasts.Rd                                                             |    4 
 sparsevar-0.1.0/sparsevar/man/createSparseMatrix.Rd                                                           |   30 
 sparsevar-0.1.0/sparsevar/man/errorBandsIRF.Rd                                                                |    2 
 sparsevar-0.1.0/sparsevar/man/fitVAR.Rd                                                                       |   24 
 sparsevar-0.1.0/sparsevar/man/fitVARX.Rd                                                                      |    2 
 sparsevar-0.1.0/sparsevar/man/fitVECM.Rd                                                                      |    4 
 sparsevar-0.1.0/sparsevar/man/informCrit.Rd                                                                   |    2 
 sparsevar-0.1.0/sparsevar/man/mcSimulations.Rd                                                                |   19 
 sparsevar-0.1.0/sparsevar/man/multiplot.Rd                                                                    |    2 
 sparsevar-0.1.0/sparsevar/man/plotIRFGrid.Rd                                                                  |    4 
 sparsevar-0.1.0/sparsevar/man/plotMatrix.Rd                                                                   |    2 
 sparsevar-0.1.0/sparsevar/man/plotVAR.Rd                                                                      |    2 
 sparsevar-0.1.0/sparsevar/man/plotVECM.Rd                                                                     |    2 
 sparsevar-0.1.0/sparsevar/man/simulateVARX.Rd                                                                 |    8 
 sparsevar-0.1.0/sparsevar/man/sparsevar.Rd                                                                    |    5 
 sparsevar-0.1.0/sparsevar/vignettes/using.Rmd                                                                 |    2 
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Package RaSEn updated to version 2.1.0 with previous version 2.0.0 dated 2021-01-15

Title: Random Subspace Ensemble Classification and Variable Screening
Description: We propose a general ensemble classification framework, RaSE algorithm, for the sparse classification problem. In RaSE algorithm, for each weak learner, some random subspaces are generated and the optimal one is chosen to train the model on the basis of some criterion. To be adapted to the problem, a novel criterion, ratio information criterion (RIC) is put up with based on Kullback-Leibler divergence. Besides minimizing RIC, multiple criteria can be applied, for instance, minimizing extended Bayesian information criterion (eBIC), minimizing training error, minimizing the validation error, minimizing the cross-validation error, minimizing leave-one-out error. There are various choices of base classifier, for instance, linear discriminant analysis, quadratic discriminant analysis, k-nearest neighbour, logistic regression, decision trees, random forest, support vector machines. RaSE algorithm can also be applied to do feature ranking, providing us the importance of each feature based on the selected percentage in multiple subspaces. RaSE framework can be extended to the general prediction framework, including both classification and regression. We can use the selected percentages of variables for variable screening. The latest version added the variable screening function for both regression and classification problems.
Author: Ye Tian [aut, cre] and Yang Feng [aut]
Maintainer: Ye Tian <ye.t@columbia.edu>

Diff between RaSEn versions 2.0.0 dated 2021-01-15 and 2.1.0 dated 2021-04-18

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Package modesto updated to version 0.1.3 with previous version 0.1.2 dated 2019-01-04

Title: Modeling and Analysis of Stochastic Systems
Description: Compute important quantities when we consider stochastic systems that are observed continuously. Such as, Cost model, Limiting distribution, Transition matrix, Transition distribution and Occupancy matrix. The methods are described, for example, Ross S. (2014), Introduction to Probability Models. Eleven Edition. Academic Press.
Author: Carlos Alberto Cardozo Delgado
Maintainer: Carlos Alberto Cardozo Delgado <cardozorpackages@gmail.com>

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Package mlr3proba updated to version 0.4.0 with previous version 0.3.2 dated 2021-03-15

Title: Probabilistic Supervised Learning for 'mlr3'
Description: Provides extensions for probabilistic supervised learning for 'mlr3'. This includes extending the regression task to probabilistic and interval regression, adding a survival task, and other specialized models, predictions, and measures. mlr3extralearners is available from <https://github.com/mlr-org/mlr3extralearners>.
Author: Raphael Sonabend [aut, cre] (<https://orcid.org/0000-0001-9225-4654>), Franz Kiraly [aut], Michel Lang [aut] (<https://orcid.org/0000-0001-9754-0393>), Nurul Ain Toha [ctb], Andreas Bender [ctb] (<https://orcid.org/0000-0001-5628-8611>)
Maintainer: Raphael Sonabend <raphaelsonabend@gmail.com>

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 mlr3proba-0.4.0/mlr3proba/R/zzz.R                                                  |   37 ---
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Package gratia updated to version 0.6.0 with previous version 0.5.1 dated 2021-01-23

Title: Graceful 'ggplot'-Based Graphics and Other Functions for GAMs Fitted Using 'mgcv'
Description: Graceful 'ggplot'-based graphics and utility functions for working with generalized additive models (GAMs) fitted using the 'mgcv' package. Provides a reimplementation of the plot() method for GAMs that 'mgcv' provides, as well as 'tidyverse' compatible representations of estimated smooths.
Author: Gavin L. Simpson [aut, cre] (<https://orcid.org/0000-0002-9084-8413>), Henrik Singmann [ctb] (<https://orcid.org/0000-0002-4842-3657>)
Maintainer: Gavin L. Simpson <ucfagls@gmail.com>

Diff between gratia versions 0.5.1 dated 2021-01-23 and 0.6.0 dated 2021-04-18

 DESCRIPTION                                                                                   |   12 
 MD5                                                                                           |  269 
 NAMESPACE                                                                                     |   29 
 NEWS.md                                                                                       |   81 
 R/add-methods.R                                                                               |   86 
 R/compare-smooths.R                                                                           |only
 R/derivatives.R                                                                               |   39 
 R/diagnose.R                                                                                  |  364 
 R/draw-methods.R                                                                              |   80 
 R/edf.R                                                                                       |only
 R/evaluate_smooth.R                                                                           |    4 
 R/evaluate_smooth2.R                                                                          |    9 
 R/family-utils.R                                                                              |  222 
 R/penalty.R                                                                                   |   36 
 R/posterior-samples.R                                                                         |   42 
 R/utililties.R                                                                                |    2 
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 build/partial.rdb                                                                             |binary
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 man/add_constant.Rd                                                                           |   18 
 man/appraise.Rd                                                                               |   24 
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 man/derivatives.Rd                                                                            |   13 
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 man/draw.gam.Rd                                                                               |   24 
 man/draw.mgcv_smooth.Rd                                                                       |    2 
 man/draw.penalty_df.Rd                                                                        |    2 
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 man/link.Rd                                                                                   |   49 
 man/penalty.Rd                                                                                |    6 
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 man/qq_plot.Rd                                                                                |   26 
 man/smooth_estimates.Rd                                                                       |    3 
 man/variance_comp.Rd                                                                          |only
 man/worm_plot.Rd                                                                              |only
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Sat, 17 Apr 2021

Package xaringanthemer updated to version 0.3.4 with previous version 0.3.3 dated 2021-03-04

Title: Custom 'xaringan' CSS Themes
Description: Create beautifully color-coordinated and customized themes for your 'xaringan' slides, without writing any CSS. Complete your slide theme with 'ggplot2' themes that match the font and colors used in your slides. Customized styles can be created directly in your slides' 'R Markdown' source file or in a separate external script.
Author: Garrick Aden-Buie [aut, cre] (<https://orcid.org/0000-0002-7111-0077>)
Maintainer: Garrick Aden-Buie <garrick@adenbuie.com>

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Package smurf updated to version 1.1.2 with previous version 1.1.1 dated 2021-03-27

Title: Sparse Multi-Type Regularized Feature Modeling
Description: Implementation of the SMuRF algorithm of Devriendt et al. (2021) <doi:10.1016/j.insmatheco.2020.11.010> to fit generalized linear models (GLMs) with multiple types of predictors via regularized maximum likelihood.
Author: Tom Reynkens [aut, cre] (<https://orcid.org/0000-0002-5516-5107>), Sander Devriendt [aut], Katrien Antonio [aut]
Maintainer: Tom Reynkens <tomreynkens@hotmail.com>

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Package influential updated to version 2.2.0 with previous version 2.0.1 dated 2020-11-20

Title: Identification and Classification of the Most Influential Nodes
Description: Contains functions for the classification and ranking of top candidate features, reconstruction of networks from adjacency matrices and data frames, analysis of the topology of the network and calculation of centrality measures, and identification of the most influential nodes. Also, a function is provided for running SIRIR model, which is the combination of leave-one-out cross validation technique and the conventional SIR model, on a network to unsupervisedly rank the true influence of vertices. Additionally, some functions have been provided for the assessment of dependence and correlation of two network centrality measures as well as the conditional probability of deviation from their corresponding means in opposite direction. Fred Viole and David Nawrocki (2013, ISBN:1490523995). Csardi G, Nepusz T (2006). "The igraph software package for complex network research." InterJournal, Complex Systems, 1695. Adopted algorithms and sources are referenced in function document.
Author: Adrian (Abbas) Salavaty [aut, cre], Mirana Ramialison [ths], Peter D. Currie [ths]
Maintainer: Adrian Salavaty <abbas.salavaty@gmail.com>

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Package fastai updated to version 2.0.7 with previous version 2.0.6 dated 2021-03-27

Title: Interface to 'fastai'
Description: The 'fastai' <https://docs.fast.ai/index.html> library simplifies training fast and accurate neural networks using modern best practices. It is based on research in to deep learning best practices undertaken at 'fast.ai', including 'out of the box' support for vision, text, tabular, audio, time series, and collaborative filtering models.
Author: Turgut Abdullayev [ctb, cre, cph, aut]
Maintainer: Turgut Abdullayev <turqut.a.314@gmail.com>

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Package rplum updated to version 0.2.0 with previous version 0.1.5.1 dated 2020-08-11

Title: Bayesian Age-Depth Modelling of Cores Dated by Pb-210
Description: An approach to age-depth modelling that uses Bayesian statistics to reconstruct accumulation histories for 210Pb-dated deposits using prior information. It can combine 210Pb, radiocarbon, and other dates in the chronologies. See Aquino et al. (2018) <doi:10.1007/s13253-018-0328-7>. Note that parts of the code underlying 'rplum' are derived from the 'rbacon' package by the same authors. Subsequent versions of 'rplum' and 'rbacon' are planned to reduce duplication, with 'rplum' importing 'rbacon' instead.
Author: Maarten Blaauw [aut, cre], J. Andres Christen [aut, ctb, cph], Marco A. Aquino-Lopez [aut], Judith Esquivel-Vazquez [ctb], Oscar M. Gonzalez V. [ctb], Ted Belding [cph], James Theiler [cph], Brian Gough [cph], Charles Karney [cph]
Maintainer: Maarten Blaauw <maarten.blaauw@qub.ac.uk>

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Package nimble updated to version 0.11.0 with previous version 0.10.1 dated 2020-11-23

Title: MCMC, Particle Filtering, and Programmable Hierarchical Modeling
Description: A system for writing hierarchical statistical models largely compatible with 'BUGS' and 'JAGS', writing nimbleFunctions to operate models and do basic R-style math, and compiling both models and nimbleFunctions via custom-generated C++. 'NIMBLE' includes default methods for MCMC, Monte Carlo Expectation Maximization, and some other tools. The nimbleFunction system makes it easy to do things like implement new MCMC samplers from R, customize the assignment of samplers to different parts of a model from R, and compile the new samplers automatically via C++ alongside the samplers 'NIMBLE' provides. 'NIMBLE' extends the 'BUGS'/'JAGS' language by making it extensible: New distributions and functions can be added, including as calls to external compiled code. Although most people think of MCMC as the main goal of the 'BUGS'/'JAGS' language for writing models, one can use 'NIMBLE' for writing arbitrary other kinds of model-generic algorithms as well. A full User Manual is available at <https://r-nimble.org>.
Author: Perry de Valpine [aut], Christopher Paciorek [aut, cre], Daniel Turek [aut], Nick Michaud [aut], Cliff Anderson-Bergman [aut], Fritz Obermeyer [aut], Claudia Wehrhahn Cortes [aut] (Bayesian nonparametrics system), Abel Rodrìguez [aut] (Bayesian nonparametrics system), Duncan Temple Lang [aut] (packaging configuration), Sally Paganin [aut] (reversible jump MCMC), Jagadish Babu [ctb] (code for the compilation system for an early version of NIMBLE), Lauren Ponisio [ctb] (contributions to the cross-validation code), Peter Sujan [ctb] (multivariate t distribution code)
Maintainer: Christopher Paciorek <paciorek@stat.berkeley.edu>

Diff between nimble versions 0.10.1 dated 2020-11-23 and 0.11.0 dated 2021-04-17

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 nimble-0.11.0/nimble/INSTALL                                                                   |    6 
 nimble-0.11.0/nimble/LICENSE                                                                   |    2 
 nimble-0.11.0/nimble/MD5                                                                       |  525 +++---
 nimble-0.11.0/nimble/NAMESPACE                                                                 |    3 
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 nimble-0.11.0/nimble/R/CAR.R                                                                   |    3 
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 nimble-0.11.0/nimble/R/NF_utils.R                                                              |   20 
 nimble-0.11.0/nimble/R/RCfunction_compile.R                                                    |    3 
 nimble-0.11.0/nimble/R/RCfunction_core.R                                                       |   63 
 nimble-0.11.0/nimble/R/all_utils.R                                                             |    6 
 nimble-0.11.0/nimble/R/config.R                                                                |    2 
 nimble-0.11.0/nimble/R/cppDefs_core.R                                                          |    4 
 nimble-0.11.0/nimble/R/cppDefs_cppProject.R                                                    |    8 
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 nimble-0.11.0/nimble/R/crossValidation.R                                                       |    2 
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 nimble-0.11.0/nimble/R/genCpp_exprClass.R                                                      |    3 
 nimble-0.11.0/nimble/R/genCpp_sizeProcessing.R                                                 |   65 
 nimble-0.11.0/nimble/R/initializeModel.R                                                       |   56 
 nimble-0.11.0/nimble/R/makevars.R                                                              |    1 
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 nimble-0.11.0/nimble/R/nimbleProject.R                                                         |   30 
 nimble-0.11.0/nimble/R/options.R                                                               |   43 
 nimble-0.11.0/nimble/R/types_modelValues.R                                                     |    2 
 nimble-0.11.0/nimble/R/types_nodeFxnVector.R                                                   |    3 
 nimble-0.11.0/nimble/R/types_symbolTable.R                                                     |   34 
 nimble-0.11.0/nimble/R/types_util.R                                                            |   71 
 nimble-0.11.0/nimble/inst/COPYRIGHTS                                                           |    4 
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 nimble-0.11.0/nimble/inst/NEWS                                                                 |  240 ++
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More information about nimble at CRAN
Permanent link

Package TextMiningGUI updated to version 0.3 with previous version 0.2 dated 2020-12-07

Title: Text Mining GUI Interface
Description: Graphic interface for text analysis, implement a few methods such as biplots, correspondence analysis, co-occurrence, clustering, topic models, correlations and sentiments.
Author: Conrado Reyes [aut, cre], Purificacion Galindo [tch]
Maintainer: Conrado Reyes <coreyes@gmail.com>

Diff between TextMiningGUI versions 0.2 dated 2020-12-07 and 0.3 dated 2021-04-17

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More information about TextMiningGUI at CRAN
Permanent link

Package dispRity updated to version 1.6.0 with previous version 1.5.0 dated 2020-09-25

Title: Measuring Disparity
Description: A modular package for measuring disparity (multidimensional space occupancy). Disparity can be calculated from any matrix defining a multidimensional space. The package provides a set of implemented metrics to measure properties of the space and allows users to provide and test their own metrics (Guillerme (2018) <doi:10.1111/2041-210X.13022>). The package also provides functions for looking at disparity in a serial way (e.g. disparity through time - Guillerme and Cooper (2018) <doi:10.1111/pala.12364>) or per groups as well as visualising the results. Finally, this package provides several statistical tests for disparity analysis.
Author: Thomas Guillerme [aut, cre, cph], Mark N Puttick [aut, cph]
Maintainer: Thomas Guillerme <guillert@tcd.ie>

Diff between dispRity versions 1.5.0 dated 2020-09-25 and 1.6.0 dated 2021-04-17

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More information about dispRity at CRAN
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Package rco updated to version 1.0.2 with previous version 1.0.1 dated 2020-02-08

Title: The R Code Optimizer
Description: Automatically apply different strategies to optimize R code. 'rco' functions take R code as input, and returns R code as output.
Author: Juan Cruz Rodriguez [aut, cre], Yihui Xie [ctb] (<https://orcid.org/0000-0003-0645-5666>), Nicolás Wolovick [ctb]
Maintainer: Juan Cruz Rodriguez <jcrodriguez@unc.edu.ar>

Diff between rco versions 1.0.1 dated 2020-02-08 and 1.0.2 dated 2021-04-17

 DESCRIPTION                            |   14 +++++------
 MD5                                    |   30 +++++++++++------------
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 16 files changed, 73 insertions(+), 71 deletions(-)

More information about rco at CRAN
Permanent link

Package cleangeo updated to version 0.2-4 with previous version 0.2-3 dated 2019-12-04

Title: Cleaning Geometries from Spatial Objects
Description: Provides a set of utility tools to inspect spatial objects, facilitate handling and reporting of topology errors and geometry validity issues. Finally, it provides a geometry cleaner that will fix all geometry problems, and eliminate (at least reduce) the likelihood of having issues when doing spatial data processing.
Author: Emmanuel Blondel [aut, cre] (<https://orcid.org/0000-0002-5870-5762>)
Maintainer: Emmanuel Blondel <emmanuel.blondel1@gmail.com>

Diff between cleangeo versions 0.2-3 dated 2019-12-04 and 0.2-4 dated 2021-04-17

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More information about cleangeo at CRAN
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Package nlmixr updated to version 2.0.4 with previous version 2.0.3 dated 2021-04-09

Title: Nonlinear Mixed Effects Models in Population PK/PD
Description: Fit and compare nonlinear mixed-effects models in differential equations with flexible dosing information commonly seen in pharmacokinetics and pharmacodynamics (Almquist, Leander, and Jirstrand 2015 <doi:10.1007/s10928-015-9409-1>). Differential equation solving is by compiled C code provided in the 'RxODE' package (Wang, Hallow, and James 2015 <doi:10.1002/psp4.12052>).
Author: Matthew Fidler [aut] (<https://orcid.org/0000-0001-8538-6691>), Yuan Xiong [aut], Rik Schoemaker [aut] (<https://orcid.org/0000-0002-7538-3005>), Justin Wilkins [aut] (<https://orcid.org/0000-0002-7099-9396>), Wenping Wang [aut, cre], Robert Leary [ctb], Mason McComb [aut] (<https://orcid.org/0000-0001-9871-8616>), Mirjam Trame [ctb], Teun Post [ctb], Richard Hooijmaijers [aut], Hadley Wickham [ctb], Dirk Eddelbuettel [cph], Johannes Pfeifer [ctb], Robert B. Schnabel [ctb], Elizabeth Eskow [ctb], Emmanuelle Comets [ctb], Audrey Lavenu [ctb], Marc Lavielle [ctb], David Ardia [cph], Daniel C. Dillon [ctb], Katharine Mullen [cph], Ben Goodrich [ctb]
Maintainer: Wenping Wang <wwang8198@gmail.com>

Diff between nlmixr versions 2.0.3 dated 2021-04-09 and 2.0.4 dated 2021-04-17

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Package psqn updated to version 0.2.0 with previous version 0.1.4 dated 2020-11-26

Title: Partially Separable Quasi-Newton
Description: Provides quasi-Newton methods to minimize partially separable functions. The methods are largely described by Nocedal and Wright (2006) <doi:10.1007/978-0-387-40065-5>.
Author: Benjamin Christoffersen [cre, aut] (<https://orcid.org/0000-0002-7182-1346>)
Maintainer: Benjamin Christoffersen <boennecd@gmail.com>

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Package exactextractr updated to version 0.6.0 with previous version 0.5.1 dated 2020-11-20

Title: Fast Extraction from Raster Datasets using Polygons
Description: Provides a replacement for the 'extract' function from the 'raster' package that is suitable for extracting raster values using 'sf' polygons.
Author: Daniel Baston [aut, cre], ISciences, LLC [cph]
Maintainer: Daniel Baston <dbaston@isciences.com>

Diff between exactextractr versions 0.5.1 dated 2020-11-20 and 0.6.0 dated 2021-04-17

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Package dmm updated to version 2.1-7 with previous version 2.1-6 dated 2020-06-03

Title: Dyadic Mixed Model for Pedigree Data
Description: Dyadic mixed model analysis with multi-trait responses and pedigree-based partitioning of individual variation into a range of environmental and genetic variance components for individual and maternal effects. Method documented in dmmOverview.pdf; it is an implementation of dispersion mean model described by Searle et al. (1992) "Variance Components", Wiley, NY.
Author: Neville Jackson
Maintainer: Neville Jackson <nanddjackson@bigpond.com>

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Package distr6 updated to version 1.5.2 with previous version 1.5.0 dated 2021-02-16

Title: The Complete R6 Probability Distributions Interface
Description: An R6 object oriented distributions package. Unified interface for 42 probability distributions and 11 kernels including functionality for multiple scientific types. Additionally functionality for composite distributions and numerical imputation. Design patterns including wrappers and decorators are described in Gamma et al. (1994, ISBN:0-201-63361-2). For quick reference of probability distributions including d/p/q/r functions and results we refer to McLaughlin, M. P. (2001). Additionally Devroye (1986, ISBN:0-387-96305-7) for sampling the Dirichlet distribution, Gentle (2009) <doi:10.1007/978-0-387-98144-4> for sampling the Multivariate Normal distribution and Michael et al. (1976) <doi:10.2307/2683801> for sampling the Wald distribution.
Author: Raphael Sonabend [aut, cre] (<https://orcid.org/0000-0001-9225-4654>), Franz Kiraly [aut], Peter Ruckdeschel [ctb] (Author of distr), Matthias Kohl [ctb] (Author of distr), Nurul Ain Toha [ctb], Shen Chen [ctb], Jordan Deenichin [ctb], Chengyang Gao [ctb], Chloe Zhaoyuan Gu [ctb], Yunjie He [ctb], Xiaowen Huang [ctb], Shuhan Liu [ctb], Runlong Yu [ctb], Chijing Zeng [ctb], Qian Zhou [ctb]
Maintainer: Raphael Sonabend <raphaelsonabend@gmail.com>

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Package googleAnalyticsR updated to version 1.0.0 with previous version 0.8.0 dated 2020-06-24

Title: Google Analytics API into R
Description: Interact with the Google Analytics APIs <https://developers.google.com/analytics/>, including the Core Reporting API (v3 and v4), Management API, User Activity API GA4's Data API and Admin API and Multi-Channel Funnel API.
Author: Mark Edmondson [aut, cre] (<https://orcid.org/0000-0002-8434-3881>), Artem Klevtsov [ctb], Johann deBoer [ctb], David Watkins [ctb], Olivia Brode-Roger [ctb], Jas Sohi [ctb], Zoran Selinger [ctb], Octavian Corlade [ctb]
Maintainer: Mark Edmondson <m@sunholo.com>

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Package cluster updated to version 2.1.2 with previous version 2.1.1 dated 2021-02-14

Title: "Finding Groups in Data": Cluster Analysis Extended Rousseeuw et al.
Description: Methods for Cluster analysis. Much extended the original from Peter Rousseeuw, Anja Struyf and Mia Hubert, based on Kaufman and Rousseeuw (1990) "Finding Groups in Data".
Author: Martin Maechler [aut, cre] (<https://orcid.org/0000-0002-8685-9910>), Peter Rousseeuw [aut] (Fortran original, <https://orcid.org/0000-0002-3807-5353>), Anja Struyf [aut] (S original), Mia Hubert [aut] (S original, <https://orcid.org/0000-0001-6398-4850>), Kurt Hornik [trl, ctb] (port to R; maintenance(1999-2000), <https://orcid.org/0000-0003-4198-9911>), Matthias Studer [ctb], Pierre Roudier [ctb], Juan Gonzalez [ctb], Kamil Kozlowski [ctb], Erich Schubert [ctb] (fastpam options for pam(), <https://orcid.org/0000-0001-9143-4880>), Keefe Murphy [ctb] (volume.ellipsoid({d >= 3}))
Maintainer: Martin Maechler <maechler@stat.math.ethz.ch>

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Package survivalmodels updated to version 0.1.8 with previous version 0.1.7 dated 2021-03-09

Title: Models for Survival Analysis
Description: Implementations of classical and machine learning models for survival analysis, including deep neural networks via 'keras' and 'tensorflow'. Each model includes a separated fit and predict interface with consistent prediction types for predicting risk, survival probabilities, or survival distributions with 'distr6' <https://CRAN.R-project.org/package=distr6>. Models are either implemented from 'Python' via 'reticulate' <https://CRAN.R-project.org/package=reticulate>, from code in GitHub packages, or novel implementations using 'Rcpp' <https://CRAN.R-project.org/package=Rcpp>. Novel machine learning survival models wil be included in the package in near-future updates. Neural networks are implemented from the 'Python' package 'pycox' <https://github.com/havakv/pycox> and are detailed by Kvamme et al. (2019) <https://jmlr.org/papers/v20/18-424.html>. The 'Akritas' estimator is defined in Akritas (1994) <doi:10.1214/aos/1176325630>. 'DNNSurv' is defined in Zhao and Feng (2020) <arXiv:1908.02337>.
Author: Raphael Sonabend [aut, cre] (<https://orcid.org/0000-0001-9225-4654>)
Maintainer: Raphael Sonabend <raphaelsonabend@gmail.com>

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New package Sojourn.Data with initial version 0.2.0
Package: Sojourn.Data
Title: Supporting Objects for Sojourn Accelerometer Methods
Version: 0.2.0
Authors@R: c( person(c("Paul", "R."), "Hibbing", email = "paulhibbing@gmail.com", role = c("aut","cre")), person(c("Kate"), "Lyden", email = "katelyden6@gmail.com", role = c("aut")) )
Depends: R (>= 3.1.0)
Description: Stores objects (e.g. neural networks) that are needed for using Sojourn accelerometer methods. For more information, see Lyden K, Keadle S, Staudenmayer J, & Freedson P (2014) <doi:10.1249/MSS.0b013e3182a42a2d>, Ellingson LD, Schwabacher IJ, Kim Y, Welk GJ, & Cook DB (2016) <doi:10.1249/MSS.0000000000000915>, and Hibbing PR, Ellingson LD, Dixon PM, & Welk GJ (2018) <doi:10.1249/MSS.0000000000001486>.
License: GPL-3
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
URL: https://github.com/paulhibbing/Sojourn.Data
BugReports: https://github.com/paulhibbing/Sojourn.Data/issues
Suggests: caret, nnet
NeedsCompilation: no
Packaged: 2021-04-17 03:12:13 UTC; prhibbing
Author: Paul R. Hibbing [aut, cre], Kate Lyden [aut]
Maintainer: Paul R. Hibbing <paulhibbing@gmail.com>
Repository: CRAN
Date/Publication: 2021-04-17 07:10:10 UTC

More information about Sojourn.Data at CRAN
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Package diceR updated to version 1.0.3 with previous version 1.0.2 dated 2021-03-18

Title: Diverse Cluster Ensemble in R
Description: Performs cluster analysis using an ensemble clustering framework, Chiu & Talhouk (2018) <doi:10.1186/s12859-017-1996-y>. Results from a diverse set of algorithms are pooled together using methods such as majority voting, K-Modes, LinkCluE, and CSPA. There are options to compare cluster assignments across algorithms using internal and external indices, visualizations such as heatmaps, and significance testing for the existence of clusters.
Author: Derek Chiu [aut, cre], Aline Talhouk [aut], Johnson Liu [ctb, com]
Maintainer: Derek Chiu <dchiu@bccrc.ca>

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Package wrswoR.benchmark (with last version 0.2.1) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2020-07-26 0.2.1
2017-09-25 0.2
2016-02-12 0.1-1

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Package mockcpp (with last version 0.0.1) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2021-04-01 0.0.1

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Package SpatialKWD (with last version 0.3.1) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2021-04-16 0.3.1

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Package mapSpain updated to version 0.2.2 with previous version 0.2.1 dated 2021-03-19

Title: Administrative Boundaries of Spain
Description: Administrative Boundaries of Spain at several levels (CCAA, Provinces, Municipalities) based on the GISCO Eurostat database <https://ec.europa.eu/eurostat/web/gisco> and 'CartoBase SIANE' from 'Instituto Geografico Nacional' <https://www.ign.es/>. It also provides a 'leaflet' plugin and the ability of downloading and processing static tiles.
Author: Diego Hernangómez [aut, cre, cph] (<https://orcid.org/0000-0001-8457-4658>), EuroGeographics [cph] (for the administrative boundaries.), Instituto Geográfico Nacional [cph] (for the administrative boundaries.)
Maintainer: Diego Hernangómez <diego.hernangomezherrero@gmail.com>

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Package gm updated to version 1.0.2 with previous version 1.0.0 dated 2021-03-23

Title: Generate Music Easily and Show Them Anywhere
Description: Provides a simple and intuitive high-level language, with which you can create music easily. Takes care of all the dirty technical details in converting your music to musical scores and audio files. Works in 'R Markdown' documents <https://rmarkdown.rstudio.com/>, R 'Jupyter Notebooks' <https://jupyter.org/>, and 'RStudio' <https://www.rstudio.com/>, so you can embed generated music anywhere. Internally, uses 'MusicXML' <https://www.musicxml.com/> to represent musical scores, and 'MuseScore' <https://musescore.org/> to convert 'MusicXML'.
Author: Renfei Mao
Maintainer: Renfei Mao <renfeimao@gmail.com>

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Package chemCal updated to version 0.2.2 with previous version 0.2.1 dated 2018-07-17

Title: Calibration Functions for Analytical Chemistry
Description: Simple functions for plotting linear calibration functions and estimating standard errors for measurements according to the Handbook of Chemometrics and Qualimetrics: Part A by Massart et al. (1997) There are also functions estimating the limit of detection (LOD) and limit of quantification (LOQ). The functions work on model objects from - optionally weighted - linear regression (lm) or robust linear regression ('rlm' from the 'MASS' package).
Author: Johannes Ranke [aut, cre, cph] (<https://orcid.org/0000-0003-4371-6538>)
Maintainer: Johannes Ranke <jranke@uni-bremen.de>

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Package svDialogs updated to version 1.0.3 with previous version 1.0.0 dated 2018-04-26

Title: SciViews - Standard Dialog Boxes for Windows, MacOS and Linuxes
Description: Quickly construct standard dialog boxes for your GUI, including message boxes, input boxes, list, file or directory selection, ... In case R cannot display GUI dialog boxes, a simpler command line version of these interactive elements is also provided as fallback solution.
Author: Philippe Grosjean [aut, cre] (<https://orcid.org/0000-0002-2694-9471>), Paul Hibbins [ctb]
Maintainer: Philippe Grosjean <phgrosjean@sciviews.org>

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Package smooth updated to version 3.1.1 with previous version 3.1.0 dated 2021-02-20

Title: Forecasting Using State Space Models
Description: Functions implementing Single Source of Error state space models for purposes of time series analysis and forecasting. The package includes ADAM (Svetunkov, 2021, <https://openforecast.org/adam/>), Exponential Smoothing (Hyndman et al., 2008, <doi: 10.1007/978-3-540-71918-2>), SARIMA (Svetunkov & Boylan, 2019 <doi: 10.1080/00207543.2019.1600764>), Complex Exponential Smoothing (Svetunkov & Kourentzes, 2018, <doi: 10.13140/RG.2.2.24986.29123>), Simple Moving Average (Svetunkov & Petropoulos, 2018 <doi: 10.1080/00207543.2017.1380326>) and several simulation functions. It also allows dealing with intermittent demand based on the iETS framework (Svetunkov & Boylan, 2019, <doi: 10.13140/RG.2.2.35897.06242>).
Author: Ivan Svetunkov [aut, cre] (Lecturer at Centre for Marketing Analytics and Forecasting, Lancaster University, UK)
Maintainer: Ivan Svetunkov <ivan@svetunkov.ru>

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Package simpleCache updated to version 0.4.2 with previous version 0.4.1 dated 2019-02-26

Title: Simply Caching R Objects
Description: Provides intuitive functions for caching R objects, encouraging reproducible, restartable, and distributed R analysis. The user selects a location to store caches, and then provides nothing more than a cache name and instructions (R code) for how to produce the R object. Also provides some advanced options like environment assignments, recreating or reloading caches, and cluster compute bindings (using the 'batchtools' package) making it flexible enough for use in large-scale data analysis projects.
Author: VP Nagraj [aut], Nathan Sheffield [aut, cre]
Maintainer: Nathan Sheffield <nathan@code.databio.org>

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Package rglobi updated to version 0.2.22 with previous version 0.2.21 dated 2019-12-06

Title: R Interface to Global Biotic Interactions
Description: A programmatic interface to the web service methods provided by Global Biotic Interactions (GloBI) (<https://www.globalbioticinteractions.org/>). GloBI provides access to spatial-temporal species interaction records from sources all over the world. rglobi provides methods to search species interactions by location, interaction type, and taxonomic name. In addition, it supports Cypher, a graph query language, to allow for executing custom queries on the GloBI aggregate species interaction data set.
Author: Jorrit Poelen [aut, cre], Stephen Gosnell [aut], Sergey Slyusarev [aut]
Maintainer: Jorrit Poelen <jhpoelen@xs4all.nl>

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Package rgl updated to version 0.106.6 with previous version 0.105.22 dated 2021-03-04

Title: 3D Visualization Using OpenGL
Description: Provides medium to high level functions for 3D interactive graphics, including functions modelled on base graphics (plot3d(), etc.) as well as functions for constructing representations of geometric objects (cube3d(), etc.). Output may be on screen using OpenGL, or to various standard 3D file formats including WebGL, PLY, OBJ, STL as well as 2D image formats, including PNG, Postscript, SVG, PGF.
Author: Duncan Murdoch [aut, cre], Daniel Adler [aut], Oleg Nenadic [ctb], Simon Urbanek [ctb], Ming Chen [ctb], Albrecht Gebhardt [ctb], Ben Bolker [ctb], Gabor Csardi [ctb], Adam Strzelecki [ctb], Alexander Senger [ctb], The R Core Team [ctb, cph], Dirk Eddelbuettel [ctb], The authors of Shiny [cph], The authors of knitr [cph], Jeroen Ooms [ctb], Yohann Demont [ctb], Joshua Ulrich [ctb], Xavier Fernandez i Marin [ctb], George Helffrich [ctb], Ivan Krylov [ctb]
Maintainer: Duncan Murdoch <murdoch.duncan@gmail.com>

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Package pals updated to version 1.7 with previous version 1.6 dated 2019-12-04

Title: Color Palettes, Colormaps, and Tools to Evaluate Them
Description: A comprehensive collection of color palettes, colormaps, and tools to evaluate them.
Author: Kevin Wright [aut, cre] (<https://orcid.org/0000-0002-0617-8673>)
Maintainer: Kevin Wright <kw.stat@gmail.com>

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Permanent link

Package pagenum updated to version 1.2 with previous version 1.1 dated 2017-07-13

Title: Put Page Numbers on Graphics
Description: A simple way to add page numbers to base/ggplot/lattice graphics.
Author: Kevin Wright [aut, cre] (<https://orcid.org/0000-0002-0617-8673>)
Maintainer: Kevin Wright <kw.stat@gmail.com>

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Package openSkies updated to version 1.1.1 with previous version 1.1.0 dated 2021-03-06

Title: An R Package to Retrieve, Analyze and Visualize Air Traffic Data
Description: Provides functionalities and data structures to retrieve, analyze and visualize aviation data. It includes a client interface to the 'OpenSky' API <https://opensky-network.org>. It allows retrieval of flight information, as well as aircraft state vectors.
Author: Rafael Ayala, Daniel Ayala, David Ruiz, Aleix Sellés, Lara Sellés Vidal
Maintainer: Rafael Ayala <rafael.ayala@oist.jp>

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Package loadr updated to version 0.1.3 with previous version 0.1.2 dated 2019-03-08

Title: Cleaner Workspaces with Shared Variable Environments
Description: Provides intuitive functions for loading objects into environments, encouraging less cluttered workspaces and sharing variables with large or reusable data across users and sessions. The user provides named variables which are loaded into the variable environment for later retrieval.
Author: Nathan Sheffield [aut, cre]
Maintainer: Nathan Sheffield <nathan@code.databio.org>

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Package JacobiEigen updated to version 0.3-4 with previous version 0.3-3 dated 2019-03-10

Title: Classical Jacobi Eigenvalue Algorithm
Description: Implements the classical Jacobi algorithm for the eigenvalues and eigenvectors of a real symmetric matrix, both in pure 'R' and in 'C++' using 'Rcpp'. Mainly as a programming example for teaching purposes.
Author: Bill Venables
Maintainer: Bill Venables <Bill.Venables@gmail.com>

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Package greybox updated to version 0.6.9 with previous version 0.6.8 dated 2021-03-12

Title: Toolbox for Model Building and Forecasting
Description: Implements functions and instruments for regression model building and its application to forecasting. The main scope of the package is in variables selection and models specification for cases of time series data. This includes promotional modelling, selection between different dynamic regressions with non-standard distributions of errors, selection based on cross validation, solutions to the fat regression model problem and more. Models developed in the package are tailored specifically for forecasting purposes. So as a results there are several methods that allow producing forecasts from these models and visualising them.
Author: Ivan Svetunkov [aut, cre] (Lecturer at Centre for Marketing Analytics and Forecasting, Lancaster University, UK), Yves R. Sagaert [ctb] (Visiting Research at Centre for Marketing Analytics and Forecasting, Lancaster University, UK)
Maintainer: Ivan Svetunkov <ivan@svetunkov.ru>

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Package golem updated to version 0.3.1 with previous version 0.2.1 dated 2020-03-05

Title: A Framework for Robust Shiny Applications
Description: An opinionated framework for building a production-ready 'Shiny' application. This package contains a series of tools for building a robust 'Shiny' application from start to finish.
Author: Colin Fay [cre, aut] (<https://orcid.org/0000-0001-7343-1846>), Vincent Guyader [aut] (<https://orcid.org/0000-0003-0671-9270>, previous maintainer), Sébastien Rochette [aut] (<https://orcid.org/0000-0002-1565-9313>), Cervan Girard [aut] (<https://orcid.org/0000-0002-4816-4624>), Novica Nakov [ctb], David Granjon [ctb], ThinkR [cph]
Maintainer: Colin Fay <contact@colinfay.me>

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Package gmgm updated to version 1.0.2 with previous version 1.0.1 dated 2020-11-14

Title: Gaussian Mixture Graphical Model Learning and Inference
Description: Gaussian mixture graphical models include Bayesian networks and dynamic Bayesian networks (their temporal extension) whose local probability distributions are described by Gaussian mixture models. They are powerful tools for graphically and quantitatively representing nonlinear dependencies between continuous variables. This package provides a complete framework to create, manipulate, learn the structure and the parameters, and perform inference in these models. Most of the algorithms are described in the PhD thesis of Roos (2018) <https://tel.archives-ouvertes.fr/tel-01943718>.
Author: Jérémy Roos [aut, cre, cph], RATP Group [fnd, cph]
Maintainer: Jérémy Roos <jeremy.roos@gmail.com>

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Package colorBlindness updated to version 0.1.9 with previous version 0.1.6 dated 2020-03-16

Title: Safe Color Set for Color Blindness
Description: Provide the safe color set for color blindness, the simulator of protanopia, deuteranopia. The color sets are collected from: Wong, B. (2011) <doi:10.1038/nmeth.1618>, and <http://mkweb.bcgsc.ca/biovis2012/>. The simulations of the appearance of the colors to color-deficient viewers were based on algorithms in Vienot, F., Brettel, H. and Mollon, J.D. (1999) <doi:10.1002/(SICI)1520-6378(199908)24:4%3C243::AID-COL5%3E3.0.CO;2-3>. The cvdPlot() function to generate 'ggplot' grobs of simulations were modified from <https://github.com/clauswilke/colorblindr>.
Author: Jianhong Ou [aut, cre] (<https://orcid.org/0000-0002-8652-2488>)
Maintainer: Jianhong Ou <jianhong.ou@duke.edu>

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Fri, 16 Apr 2021

Package rfacebookstat updated to version 2.3.0 with previous version 2.2.2 dated 2021-01-04

Title: Load Data from Facebook API Marketing
Description: Load data by campaigns, ads, ad sets and insights, ad account and business manager from Facebook Marketing API into R. For more details see official documents by Facebook Marketing API <https://developers.facebook.com/docs/marketing-apis/>.
Author: Alexey Seleznev [aut, cre] (<https://orcid.org/0000-0003-0410-7385>)
Maintainer: Alexey Seleznev <selesnow@gmail.com>

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Package prepplot updated to version 1.0-1 with previous version 1.0 dated 2021-04-14

Title: Prepare Figure Region for Base Graphics
Description: A figure region is prepared, creating a plot region with suitable background color, grid lines or shadings, and providing axes and labeling if not suppressed. Subsequently, information carrying graphics elements can be added (points, lines, barplot with add=TRUE and so forth).
Author: Ulrike Groemping
Maintainer: Ulrike Groemping <groemping@beuth-hochschule.de>

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Package mountainplot updated to version 1.3 with previous version 1.2 dated 2017-07-13

Title: Mountain Plots, Folded Empirical Cumulative Distribution Plots
Description: Lattice functions for drawing folded empirical cumulative distribution plots, or mountain plots. A mountain plot is similar to an empirical CDF plot, except that the curve increases from 0 to 0.5, then decreases from 0.5 to 1 using an inverted scale at the right side. See Monti (1995) <doi:10.1080/00031305.1995.10476179>.
Author: Kevin Wright [aut, cre] (<https://orcid.org/0000-0002-0617-8673>)
Maintainer: Kevin Wright <kw.stat@gmail.com>

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Package mable updated to version 3.0.1 with previous version 3.0.0 dated 2021-03-02

Title: Maximum Approximate Bernstein/Beta Likelihood Estimation
Description: Fit data from a continuous population with a smooth density on finite interval by an approximate Bernstein polynomial model which is a mixture of certain beta distributions and find maximum approximate Bernstein likelihood estimator of the unknown coefficients. Consequently, maximum likelihood estimates of the unknown density, distribution functions, and more can be obtained. If the support of the density is not the unit interval then transformation can be applied. This is an implementation of the methods proposed by the author of this package published in the Journal of Nonparametric Statistics: Guan (2016) <doi:10.1080/10485252.2016.1163349> and Guan (2017) <doi:10.1080/10485252.2017.1374384>. For data with covariates, under some semiparametric regression models such as Cox proportional hazards model and the accelerated failure time model, the baseline survival function can be estimated smoothly based on general interval censored data.
Author: Zhong Guan [aut, cre]
Maintainer: Zhong Guan <zguan@iusb.edu>

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Package geobr updated to version 1.6.1 with previous version 1.6 dated 2021-04-14

Title: Download Official Spatial Data Sets of Brazil
Description: Easy access to official spatial data sets of Brazil as 'sf' objects in R. The package includes a wide range of geospatial data available at various geographic scales and for various years with harmonized attributes, projection and fixed topology.
Author: Rafael H. M. Pereira [aut, cre] (<https://orcid.org/0000-0003-2125-7465>), Caio Nogueira Goncalves [aut], Paulo Henrique Fernandes de Araujo [ctb], Guilherme Duarte Carvalho [ctb], Rodrigo Almeida de Arruda [ctb], Igor Nascimento [ctb], Barbara Santiago Pedreira da Costa [ctb], Welligtton Silva Cavedo [ctb], Pedro R. Andrade [ctb], Alan da Silva [ctb], Carlos Kauê Vieira Braga [ctb], Carl Schmertmann [ctb], Alessandro Samuel-Rosa [ctb], Daniel Ferreira [ctb], Ipea - Institue for Applied Economic Research [cph, fnd]
Maintainer: Rafael H. M. Pereira <rafa.pereira.br@gmail.com>

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Package vannstats updated to version 1.0.4.15 with previous version 1.0.3.27 dated 2021-04-06

Title: Simplified Statistics for PA 606
Description: Simplifies functions assess normality for bivariate and multivariate statistical techniques, including hst(), box(), and qq(). Plots designed to replicate those that would result from similar calls in 'SPSS'. Also includes simplified formulae, such as mode(), scatter(), and ow.anova().
Author: Burrel Vann Jr [aut, cre]
Maintainer: Burrel Vann Jr <bvannjr@sdsu.edu>

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Package highr updated to version 0.9 with previous version 0.8 dated 2019-03-20

Title: Syntax Highlighting for R Source Code
Description: Provides syntax highlighting for R source code. Currently it supports LaTeX and HTML output. Source code of other languages is supported via Andre Simon's highlight package (<http://www.andre-simon.de>).
Author: Yihui Xie [aut, cre] (<https://orcid.org/0000-0003-0645-5666>), Yixuan Qiu [aut], Christopher Gandrud [ctb], Qiang Li [ctb]
Maintainer: Yihui Xie <xie@yihui.name>

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Package EstimDiagnostics updated to version 0.0.3 with previous version 0.0.2 dated 2021-03-07

Title: Diagnostic Tools and Unit Tests for Statistical Estimators
Description: Extension of 'testthat' package to make unit tests on empirical distributions of estimators and functions for diagnostics of their finite-sample performance.
Author: Dmitry Otryakhin [aut, cre] (<https://orcid.org/0000-0002-4700-7221>)
Maintainer: Dmitry Otryakhin <d.otryakhin.acad@protonmail.ch>

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Package desiR updated to version 1.2.2 with previous version 1.2.1 dated 2016-12-10

Title: Desirability Functions for Ranking, Selecting, and Integrating Data
Description: Functions for (1) ranking, selecting, and prioritising genes, proteins, and metabolites from high dimensional biology experiments, (2) multivariate hit calling in high content screens, and (3) combining data from diverse sources.
Author: Stanley E. Lazic
Maintainer: Stanley E. Lazic <stan.lazic@cantab.net>

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Package DepLogo updated to version 1.2 with previous version 1.0 dated 2019-03-13

Title: Dependency Logo
Description: Plots dependency logos from a set of aligned input sequences.
Author: Jan Grau [aut, cre], Jens Keilwagen [aut], Martin Nettling [aut]
Maintainer: Jan Grau <grau@informatik.uni-halle.de>

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Package readJDX updated to version 0.5.41 with previous version 0.5.36 dated 2021-03-15

Title: Import Data in the JCAMP-DX Format
Description: Import data written in the JCAMP-DX format. This is an instrument-independent format used in the field of spectroscopy. Examples include IR, NMR, and Raman spectroscopy. See the vignette for background and supported formats. The official JCAMP-DX site is <http://www.jcamp-dx.org/>.
Author: Bryan A. Hanson [aut, cre] (<https://orcid.org/0000-0003-3536-8246>)
Maintainer: Bryan A. Hanson <hanson@depauw.edu>

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Package qrmtools updated to version 0.0-14 with previous version 0.0-13 dated 2020-04-19

Title: Tools for Quantitative Risk Management
Description: Functions and data sets for reproducing selected results from the book "Quantitative Risk Management: Concepts, Techniques and Tools". Furthermore, new developments and auxiliary functions for Quantitative Risk Management practice.
Author: Marius Hofert [aut, cre], Kurt Hornik [aut], Alexander J. McNeil [aut]
Maintainer: Marius Hofert <marius.hofert@uwaterloo.ca>

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Package entropart updated to version 1.6-7 with previous version 1.6-6 dated 2020-11-03

Title: Entropy Partitioning to Measure Diversity
Description: Measurement and partitioning of diversity, based on Tsallis entropy, following Marcon and Herault (2015) <doi:10.18637/jss.v067.i08>. 'entropart' provides functions to calculate alpha, beta and gamma diversity of communities, including phylogenetic and functional diversity. Estimation-bias corrections are available.
Author: Eric Marcon [aut, cre] (<https://orcid.org/0000-0002-5249-321X>), Bruno Herault [aut] (<https://orcid.org/0000-0002-6950-7286>)
Maintainer: Eric Marcon <eric.marcon@agroparistech.fr>

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Package svGUI updated to version 1.0.1 with previous version 1.0.0 dated 2018-04-23

Title: SciViews - Manage GUIs in R
Description: The 'SciViews' 'svGUI' package eases the management of Graphical User Interfaces (GUI) in R. It is independent from any particular GUI widgets ('Tk', 'Gtk2', native, ...). It centralizes info about GUI elements currently used, and it dispatches GUI calls to the particular toolkits in use in function of the context (is R run at the terminal, within a 'Tk' application, a HTML page?).
Author: Philippe Grosjean [aut, cre] (<https://orcid.org/0000-0002-2694-9471>)
Maintainer: Philippe Grosjean <phgrosjean@sciviews.org>

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Package onnx updated to version 0.0.3 with previous version 0.0.2 dated 2018-04-25

Title: R Interface to 'ONNX'
Description: R Interface to 'ONNX' - Open Neural Network Exchange <https://onnx.ai/>. 'ONNX' provides an open source format for machine learning models. It defines an extensible computation graph model, as well as definitions of built-in operators and standard data types.
Author: Yuan Tang [aut, cre] (<https://orcid.org/0000-0001-5243-233X>), ONNX Authors [aut, cph], Facebook, Inc. [cph], Microsoft Corporation [cph]
Maintainer: Yuan Tang <terrytangyuan@gmail.com>

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Package MetricsWeighted updated to version 0.5.2 with previous version 0.5.1 dated 2020-04-18

Title: Weighted Metrics, Scoring Functions and Performance Measures for Machine Learning
Description: Provides weighted versions of several metrics, scoring functions and performance measures used in machine learning, including average unit deviances of the Bernoulli, Tweedie, Poisson, and Gamma distributions, see Jorgensen B. (1997, ISBN: 978-0412997112). The package also contains a weighted version of generalized R-squared, see e.g. Cohen, J. et al. (2002, ISBN: 978-0805822236). Furthermore, 'dplyr' chains are supported.
Author: Michael Mayer [aut, cre, cph], Christian Lorentzen [ctb, rev]
Maintainer: Michael Mayer <mayermichael79@gmail.com>

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Package gambin updated to version 2.5.0 with previous version 2.4.4 dated 2020-06-02

Title: Fit the Gambin Model to Species Abundance Distributions
Description: Fits unimodal and multimodal gambin distributions to species-abundance distributions from ecological data, as in in Matthews et al. (2014) <DOI:10.1111/ecog.00861>. 'gambin' is short for 'gamma-binomial'. The main function is fit_abundances(), which estimates the 'alpha' parameter(s) of the gambin distribution using maximum likelihood. Functions are also provided to generate the gambin distribution and for calculating likelihood statistics.
Author: Thomas Matthews [aut, cre], Michael Krabbe Borregaard [aut], Karl Ugland [aut], Colin Gillespie [aut]
Maintainer: Thomas Matthews <txm676@gmail.com>

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Package dbmss updated to version 2.7-5 with previous version 2.7-4 dated 2021-01-25

Title: Distance-Based Measures of Spatial Structures
Description: Simple computation of spatial statistic functions of distance to characterize the spatial structures of mapped objects, following Marcon, Traissac, Puech, and Lang (2015) <doi:10.18637/jss.v067.c03>. Includes classical functions (Ripley's K and others) and more recent ones used by spatial economists (Duranton and Overman's Kd, Marcon and Puech's M). Relies on 'spatstat' for some core calculation.
Author: Eric Marcon [aut, cre] (<https://orcid.org/0000-0002-5249-321X>), Gabriel Lang [aut] (<https://orcid.org/0000-0002-4325-6044>), Stephane Traissac [aut] (<https://orcid.org/0000-0001-9255-1616>), Florence Puech [aut] (<https://orcid.org/0000-0002-5279-6878>)
Maintainer: Eric Marcon <eric.marcon@agroparistech.fr>

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Package datapackage.r updated to version 1.3.3 with previous version 1.3.2 dated 2021-01-14

Title: Data Package 'Frictionless Data'
Description: Work with 'Frictionless Data Packages' (<https://specs.frictionlessdata.io//data-package/>). Allows to load and validate any descriptor for a data package profile, create and modify descriptors and provides expose methods for reading and streaming data in the package. When a descriptor is a 'Tabular Data Package', it uses the 'Table Schema' package (<https://CRAN.R-project.org/package=tableschema.r>) and exposes its functionality, for each resource object in the resources field.
Author: Kleanthis Koupidis [aut, cre], Lazaros Ioannidis [aut], Charalampos Bratsas [aut], Open Knowledge International [cph]
Maintainer: Kleanthis Koupidis <koupidis.okfgr@gmail.com>

Diff between datapackage.r versions 1.3.2 dated 2021-01-14 and 1.3.3 dated 2021-04-16

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Package clue updated to version 0.3-59 with previous version 0.3-58 dated 2020-12-03

Title: Cluster Ensembles
Description: CLUster Ensembles.
Author: Kurt Hornik [aut, cre] (<https://orcid.org/0000-0003-4198-9911>), Walter Böhm [ctb]
Maintainer: Kurt Hornik <Kurt.Hornik@R-project.org>

Diff between clue versions 0.3-58 dated 2020-12-03 and 0.3-59 dated 2021-04-16

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Package autoplotly updated to version 0.1.3 with previous version 0.1.2 dated 2018-04-21

Title: Automatic Generation of Interactive Visualizations for Statistical Results
Description: Functionalities to automatically generate interactive visualizations for statistical results supported by 'ggfortify', such as time series, PCA, clustering and survival analysis, with 'plotly.js' <https://plotly.com/> and 'ggplot2' style. The generated visualizations can also be easily extended using 'ggplot2' and 'plotly' syntax while staying interactive.
Author: Yuan Tang [aut, cre] (<https://orcid.org/0000-0001-5243-233X>)
Maintainer: Yuan Tang <terrytangyuan@gmail.com>

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Package outliertree updated to version 1.7.1 with previous version 1.6.0 dated 2021-03-14

Title: Explainable Outlier Detection Through Decision Tree Conditioning
Description: Will try to fit decision trees that try to "predict" values for each column based on the values of each other column. Along the way, each time a split is evaluated, it will take the observations that fall into each branch as a homogeneous cluster in which it will search for outliers in the 1-d distribution of the column being predicted. Outliers are determined according to confidence intervals in this 1-d distribution, and need to have a large gap with respect to the next observation in sorted order to be flagged as outliers. Since outliers are searched for in a decision tree branch, it will know the conditions that make it a rare observation compared to others that meet the same conditions, and the conditions will always be correlated with the target variable (as it's being predicted from them). Full procedure is described in Cortes (2020) <arXiv:2001.00636>. Loosely based on the 'GritBot' <https://www.rulequest.com/gritbot-info.html> software.
Author: David Cortes
Maintainer: David Cortes <david.cortes.rivera@gmail.com>

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Package ML.MSBD updated to version 1.2.1 with previous version 1.2.0 dated 2019-09-26

Title: Maximum Likelihood Inference on Multi-State Trees
Description: Inference of a multi-states birth-death model from a phylogeny, comprising a number of states N, birth and death rates for each state and on which edges each state appears. Inference is done using a hybrid approach: states are progressively added in a greedy approach. For a fixed number of states N the best model is selected via maximum likelihood. Reference: J. Barido-Sottani, T. G. Vaughan and T. Stadler (2018) <doi:10.1098/rsif.2018.0512>.
Author: Joelle Barido-Sottani [aut, cre]
Maintainer: Joelle Barido-Sottani <joelle.barido-sottani@m4x.org>

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Package workflowsets updated to version 0.0.2 with previous version 0.0.1 dated 2021-03-18

Title: Create a Collection of 'tidymodels' Workflows
Description: A workflow is a combination of a model and preprocessors (e.g, a formula, recipe, etc.) (Kuhn and Silge (2021) <https://www.tmwr.org/>). In order to try different combinations of these, an object can be created that contains many workflows. There are functions to create workflows en masse as well as training them and visualizing the results.
Author: Max Kuhn [aut, cre] (<https://orcid.org/0000-0003-2402-136X>), RStudio [cph]
Maintainer: Max Kuhn <max@rstudio.com>

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Package VulnToolkit updated to version 1.1.2 with previous version 1.1.1 dated 2021-03-11

Title: Analysis of Tidal Datasets
Description: Contains functions for analysis and summary of tidal datasets. Also provides access to tidal data collected by the National Oceanic and Atmospheric Administration's Center for Operational Oceanographic Products and Services and the Permanent Service for Mean Sea Level. For detailed description and application examples, see Hill, T.D. and S.C. Anisfeld (2021) <doi:10.6084/m9.figshare.14161202.v1> and Hill, T.D. and S.C. Anisfeld (2015) <doi:10.1016/j.ecss.2015.06.004>.
Author: Troy Hill [aut, cre] (<https://orcid.org/0000-0003-2980-4099>), Shimon Anisfeld [ctb]
Maintainer: Troy Hill <Hill.Troy@gmail.com>

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Package MachineShop updated to version 2.8.0 with previous version 2.7.0 dated 2021-03-02

Title: Machine Learning Models and Tools
Description: Meta-package for statistical and machine learning with a unified interface for model fitting, prediction, performance assessment, and presentation of results. Approaches for model fitting and prediction of numerical, categorical, or censored time-to-event outcomes include traditional regression models, regularization methods, tree-based methods, support vector machines, neural networks, ensembles, data preprocessing, filtering, and model tuning and selection. Performance metrics are provided for model assessment and can be estimated with independent test sets, split sampling, cross-validation, or bootstrap resampling. Resample estimation can be executed in parallel for faster processing and nested in cases of model tuning and selection. Modeling results can be summarized with descriptive statistics; calibration curves; variable importance; partial dependence plots; confusion matrices; and ROC, lift, and other performance curves.
Author: Brian J Smith [aut, cre]
Maintainer: Brian J Smith <brian-j-smith@uiowa.edu>

Diff between MachineShop versions 2.7.0 dated 2021-03-02 and 2.8.0 dated 2021-04-16

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Package tvgarch updated to version 2.0 with previous version 1.0 dated 2021-02-05

Title: Time Varying GARCH Modelling
Description: Simulation, estimation and inference for univariate and multivariate TV(s)-GARCH(p,q,r)-X models, where s indicates the number and shape of the transition functions, p is the ARCH order, q is the GARCH order, r is the asymmetry order, and 'X' indicates that covariates can be included. In the multivariate case, variances are estimated equation by equation and dynamic conditional correlations are allowed. The TV long-term component of the variance as in the multiplicative TV-GARCH model of Amado and Ter\"{a}svirta (2013) <doi:10.1016/j.jeconom.2013.03.006> introduces non-stationarity whereas the GARCH-X short-term component describes conditional heteroscedasticity. Maximisation by parts leads to consistent and asymptotically normal estimates.
Author: Susana Campos-Martins [aut, cre], Genaro Sucarrat [ctb]
Maintainer: Susana Campos-Martins <susana.martins@nuffield.ox.ac.uk>

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Package svMisc updated to version 1.1.4 with previous version 1.1.0 dated 2018-06-30

Title: 'SciViews' - Miscellaneous Functions
Description: Miscellaneous functions for 'SciViews' or general use: manage a temporary environment attached to the search path for temporary variables you do not want to save() or load(), test if 'Aqua', 'Mac', 'Win', ... Show progress bar, etc.
Author: Philippe Grosjean [aut, cre] (<https://orcid.org/0000-0002-2694-9471>), Romain Francois [ctb], Kamil Barton [ctb]
Maintainer: Philippe Grosjean <phgrosjean@sciviews.org>

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Package remap updated to version 0.2.1 with previous version 0.2.0 dated 2021-01-14

Title: Regional Spatial Modeling with Continuous Borders
Description: Automatically creates separate regression models for different spatial regions. The prediction surface is smoothed using a regional border smoothing method. If regional models are continuous, the resulting prediction surface is continuous across the spatial dimensions, even at region borders. Methodology is described in Wagstaff (2021) <https://digitalcommons.usu.edu/etd/8065/>.
Author: Jadon Wagstaff [aut, cre], Brennan Bean [aut]
Maintainer: Jadon Wagstaff <jadonw@gmail.com>

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Package recipes updated to version 0.1.16 with previous version 0.1.15 dated 2020-11-11

Title: Preprocessing Tools to Create Design Matrices
Description: An extensible framework to create and preprocess design matrices. Recipes consist of one or more data manipulation and analysis "steps". Statistical parameters for the steps can be estimated from an initial data set and then applied to other data sets. The resulting design matrices can then be used as inputs into statistical or machine learning models.
Author: Max Kuhn [aut, cre], Hadley Wickham [aut], RStudio [cph]
Maintainer: Max Kuhn <max@rstudio.com>

Diff between recipes versions 0.1.15 dated 2020-11-11 and 0.1.16 dated 2021-04-16

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Package hereR updated to version 0.7.0 with previous version 0.6.1 dated 2021-02-01

Title: 'sf'-Based Interface to the 'HERE' REST APIs
Description: Interface to the 'HERE' REST APIs <https://developer.here.com/develop/rest-apis>: (1) geocode and autosuggest addresses or reverse geocode POIs using the 'Geocoder' API; (2) route directions, travel distance or time matrices and isolines using the 'Routing', 'Matrix Routing' and 'Isoline Routing' APIs; (3) request real-time traffic flow and incident information from the 'Traffic' API; (4) find request public transport connections and nearby stations from the 'Public Transit' API; (5) request intermodal routes using the 'Intermodal Routing' API; (6) get weather forecasts, reports on current weather conditions, astronomical information and alerts at a specific location from the 'Destination Weather' API. Locations, routes and isolines are returned as 'sf' objects.
Author: Merlin Unterfinger [aut, cre] (<https://orcid.org/0000-0003-2020-2366>), Daniel Possenriede [ctb] (<https://orcid.org/0000-0002-6738-9845>)
Maintainer: Merlin Unterfinger <info@munterfinger.ch>

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Package eatATA updated to version 0.11.1 with previous version 0.10.0 dated 2021-02-10

Title: Create Constraints for Small Test Assembly Problems
Description: Provides simple functions to create constraints for small test assembly problems (e.g. van der Linden (2005, ISBN: 978-0-387-29054-6)) using sparse matrices. Currently, 'GLPK', 'lpSolve', 'Symphony', and 'Gurobi' are supported as solvers. The 'gurobi' package is not available from any mainstream repository; see <https://www.gurobi.com/downloads/>.
Author: Benjamin Becker [aut, cre], Dries Debeer [aut]
Maintainer: Benjamin Becker <b.becker@iqb.hu-berlin.de>

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Package aRchi updated to version 1.0.5 with previous version 1.0.3 dated 2021-04-09

Title: Quantitative Structural Model ('QSM') Treatment for Tree Architecture
Description: Provides a set of tools to manipulate, visualize and compute metrics from quantitative structural model of trees (i.e the so-called 'QSM') . It can be used in various context of forest ecology (i.e biomass estimation) and tree architecture (i.e architectural metrics), see Martin-Ducup et al. (2020) <doi:10.1111/1365-2435.13678>. The package is based on a new S4 class called 'aRchi'.
Author: Olivier Martin
Maintainer: Olivier Martin <oli.martin@ntymail.com>

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Package tidytable updated to version 0.6.1 with previous version 0.6.0 dated 2021-04-02

Title: Tidy Interface to 'data.table'
Description: A tidy interface to 'data.table' that is 'rlang' compatible, giving users the speed of 'data.table' with the clean syntax of the tidyverse.
Author: Mark Fairbanks [aut, cre], Abdessabour Moutik [ctb], Matt Carlson [ctb], Ivan Leung [ctb], Ross Kennedy [ctb]
Maintainer: Mark Fairbanks <mark.t.fairbanks@gmail.com>

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Package parseRPDR updated to version 0.0.2 with previous version 0.0.1 dated 2021-03-15

Title: Parse and Manipulate Research Patient Data Registry ('RPDR') Text Queries
Description: Functions to load Research Patient Data Registry ('RPDR') text queries from Partners Healthcare institutions into R. The package also provides helper functions to manipulate data and execute common procedures such as finding the closest radiological exams considering a given timepoint. 'parseRPDR' currently supports txt sources: mrn, con, dem, enc, rdt, lab, med, dia and rad. All functionalities are parallelized for fast and efficient analyses.
Author: Marton Kolossvary [aut, cre]
Maintainer: Marton Kolossvary <mkolossvary@mgh.harvard.edu>

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Package causalweight updated to version 1.0.1 with previous version 1.0.0 dated 2020-12-02

Title: Estimation Methods for Causal Inference Based on Inverse Probability Weighting
Description: Various estimators of causal effects based on inverse probability weighting, doubly robust estimation, and double machine learning. Specifically, the package includes methods for estimating average treatment effects, direct and indirect effects in causal mediation analysis, and dynamic treatment effects. The models refer to studies of Froelich (2007) <doi:10.1016/j.jeconom.2006.06.004>, Huber (2012) <doi:10.3102/1076998611411917>, Huber (2014) <doi:10.1080/07474938.2013.806197>, Huber (2014) <doi:10.1002/jae.2341>, Froelich and Huber (2017) <doi:10.1111/rssb.12232>, Hsu, Huber, Lee, and Lettry (2020) <doi:10.1002/jae.2765>, and others.
Author: Hugo Bodory [aut, cre] (<https://orcid.org/0000-0002-3645-1204>), Martin Huber [aut] (<https://orcid.org/0000-0002-8590-9402>)
Maintainer: Hugo Bodory <hugo.bodory@unisg.ch>

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Package taskscheduleR updated to version 1.5 with previous version 1.4 dated 2018-10-24

Title: Schedule R Scripts and Processes with the Windows Task Scheduler
Description: Schedule R scripts/processes with the Windows task scheduler. This allows R users to automate R processes on specific time points from R itself.
Author: Jan Wijffels [aut, cre, cph], BNOSAC [cph], Oliver Belmans [cph, aut]
Maintainer: Jan Wijffels <jwijffels@bnosac.be>

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Package rlfsm updated to version 1.0.3 with previous version 1.0.2 dated 2021-03-15

Title: Simulations and Statistical Inference for Linear Fractional Stable Motions
Description: Contains functions for simulating linear fractional stable motions, according to techniques developed by Stoev and Taqqu (2004) <doi:10.1142/S0218348X04002379>, as well as functions for computing important statistics used with these processes introduced by Mazur, Otryakhin and Podolskij (2018) <arXiv:1802.06373>, and also different quantities related to those statistics.
Author: Dmitry Otryakhin [aut, cre] (<https://orcid.org/0000-0002-4700-7221>), Stepan Mazur [aut] (<https://orcid.org/0000-0002-1395-9427>), Mathias Ljungdahl [ctb]
Maintainer: Dmitry Otryakhin <d.otryakhin.acad@protonmail.ch>

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Package mapping updated to version 1.1 with previous version 1.0 dated 2021-04-01

Title: Automatic Download, Linking, Manipulating Coordinates for Maps
Description: Maps are an important tool to visualise variables distribution across different spatial object. The mapping process require to link the data with coordinates and then generate the correspondent map. This package provide coordinates, linking and mapping functions for an automatic, flexible and easy approach of mapping workflow of different geographical statistical unit.Geographical coordinates are provided in the package and automatically linked with the input data to generate maps with internal provided functions or external functions.provide an easy, flexible and automatic approach to potentially download updated coordinates, to link statistical units with coordinates and to aggregate variables based on the spatial hierarchy of units. The object returned from the package can be used for thematic maps with the build-in functions provided in mapping or with other packages already available.
Author: Alessio Serafini [aut, cre], Giancarlo Ferrara [aut]
Maintainer: Alessio Serafini <srf.alessio@gmail.com>

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Package lucid updated to version 1.8 with previous version 1.7 dated 2019-02-06

Title: Printing Floating Point Numbers in a Human-Friendly Format
Description: Print vectors (and data frames) of floating point numbers using a non-scientific format optimized for human readers. Vectors of numbers are rounded using significant digits, aligned at the decimal point, and all zeros trailing the decimal point are dropped. See: Wright (2016). Lucid: An R Package for Pretty-Printing Floating Point Numbers. In JSM Proceedings, Statistical Computing Section. Alexandria, VA: American Statistical Association. 2270-2279.
Author: Kevin Wright [aut, cre] (<https://orcid.org/0000-0002-0617-8673>)
Maintainer: Kevin Wright <kw.stat@gmail.com>

Diff between lucid versions 1.7 dated 2019-02-06 and 1.8 dated 2021-04-16

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Package exactRankTests updated to version 0.8-32 with previous version 0.8-31 dated 2019-12-11

Title: Exact Distributions for Rank and Permutation Tests
Description: Computes exact conditional p-values and quantiles using an implementation of the Shift-Algorithm by Streitberg & Roehmel.
Author: Torsten Hothorn [aut, cre], Kurt Hornik [aut]
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

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Package DIMORA updated to version 0.2.0 with previous version 0.1.0 dated 2018-12-03

Title: Diffusion Models R Analysis
Description: The implemented methods are: Bass model, Generalized Bass model (with rectangular shock, exponential shock, mixed shock and harmonic shock, 1 to 3 shocks available), Dynamic market potential model, and UCRCD model. The Bass model consists of a simple differential equation that describes the process of how new products get adopted in a population, the Generalized Bass model is a generalization of the Bass model with a function x(t), capturing the changing speed of diffusion. In some real processes the market potential may be not constant over time and a dynamic market potential model is needed. The Guseo-Guidolin model is a specification of this situation. The UCRCD model (Unbalanced Competition and Regime Change Diachronic) is a diffusion model used to capture the dynamics of competition between two products within the same market.
Author: Zanghi Federico
Maintainer: Zanghi Federico <federico.zanghi.11@gmail.com>

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Package rjade updated to version 0.1.1 with previous version 0.1 dated 2015-02-18

Title: A Clean, Whitespace-Sensitive Template Language for Writing HTML
Description: Jade is a high performance template engine heavily influenced by Haml and implemented with JavaScript for node and browsers.
Author: Jeroen Ooms, Forbes Lindesay
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>

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Package restatapi updated to version 0.10.3 with previous version 0.10.0 dated 2021-03-10

Title: Search and Retrieve Data from Eurostat Database
Description: Eurostat is the statistical office of the European Union and provides high quality statistics for Europe. Large set of the data is disseminated through the Eurostat database (<https://ec.europa.eu/eurostat/data/database>). The tools are using the REST API with the Statistical Data and Metadata eXchange (SDMX <https://sdmx.org>) Web Services (<https://ec.europa.eu/eurostat/web/sdmx-web-services/about-this-service>) to search and download data from the Eurostat database using the SDMX standard.
Author: Mátyás Mészáros [aut, cre]
Maintainer: Mátyás Mészáros <matyas.meszaros@ec.europa.eu>

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Package RcppAPT updated to version 0.0.7 with previous version 0.0.6 dated 2020-03-14

Title: 'Rcpp' Interface to the APT Package Manager
Description: The 'APT Package Management System' provides Debian and Debian-derived Linux systems with a powerful system to resolve package dependencies. This package offers access directly from R. This can only work on a system with a suitable 'libapt-pkg-dev' installation so functionality is curtailed if such a library is not found.
Author: Dirk Eddelbuettel
Maintainer: Dirk Eddelbuettel <edd@debian.org>

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Package micar updated to version 1.1.2 with previous version 1.1.1 dated 2019-04-10

Title: 'Mica' Data Web Portal Client
Description: 'Mica' is a server application used to create data web portals for large-scale epidemiological studies or multiple-study consortia. 'Mica' helps studies to provide scientifically robust data visibility and web presence without significant information technology effort. 'Mica' provides a structured description of consortia, studies, annotated and searchable data dictionaries, and data access request management. This 'Mica' client allows to perform data extraction for reporting purposes.
Author: Yannick Marcon [aut, cre] (<https://orcid.org/0000-0003-0138-2023>), OBiBa group [cph]
Maintainer: Yannick Marcon <yannick.marcon@obiba.org>

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Package junctions updated to version 1.1.1 with previous version 1.1 dated 2018-08-13

Title: The Breakdown of Genomic Ancestry Blocks in Hybrid Lineages
Description: Individual based simulations of hybridizing populations, where the accumulation of junctions is tracked. Furthermore, mathematical equations are provided to verify simulation outcomes. Both simulations and mathematical equations are based on Janzen (2018) <doi:10.1101/058107>.
Author: Thijs Janzen [aut, cre]
Maintainer: Thijs Janzen <thijsjanzen@gmail.com>

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Package gimms updated to version 1.2.0 with previous version 1.1.3 dated 2020-03-19

Title: Download and Process GIMMS NDVI3g Data
Description: This is a set of functions to retrieve information about GIMMS NDVI3g files currently available online; download (and re-arrange, in the case of NDVI3g.v0) the half-monthly data sets; import downloaded files from ENVI binary (NDVI3g.v0) or NetCDF format (NDVI3g.v1) directly into R based on the widespread 'raster' package; conduct quality control; and generate monthly composites (e.g., maximum values) from the half-monthly input data. As a special gimmick, a method is included to conveniently apply the Mann-Kendall trend test upon 'Raster*' images, optionally featuring trend-free pre-whitening to account for lag-1 autocorrelation.
Author: Florian Detsch [cre, aut]
Maintainer: Florian Detsch <fdetsch@web.de>

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Package cccrm updated to version 2.0.2 with previous version 2.0.1 dated 2020-06-10

Title: Concordance Correlation Coefficient for Repeated (and Non-Repeated) Measures
Description: Estimates the Concordance Correlation Coefficient to assess agreement. The scenarios considered are non-repeated measures, non-longitudinal repeated measures (replicates) and longitudinal repeated measures. It also includes the estimation of the one-way intraclass correlation coefficient also known as reliability index. The estimation approaches implemented are variance components and U-statistics approaches.
Author: Josep Lluis Carrasco <jlcarrasco@ub.edu>, Josep Puig Martinez <j.puig04@gmail.com>
Maintainer: Josep Lluis Carrasco <jlcarrasco@ub.edu>

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Package MendelianRandomization updated to version 0.5.1 with previous version 0.5.0 dated 2020-09-30

Title: Mendelian Randomization Package
Description: Encodes several methods for performing Mendelian randomization analyses with summarized data. Summarized data on genetic associations with the exposure and with the outcome can be obtained from large consortia. These data can be used for obtaining causal estimates using instrumental variable methods.
Author: Olena Yavorska <olena.yavorska@ludwig.ox.ac.uk> James Staley <james.staley@bristol.ac.uk>
Maintainer: Stephen Burgess <sb452@medschl.cam.ac.uk>

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Package noisyr updated to version 1.0.0 with previous version 0.1.0 dated 2021-01-06

Title: Noise Quantification in High Throughput Sequencing Output
Description: Quantifies and removes technical noise from high-throughput sequencing data. Two approaches are used, one based on the count matrix, and one using the alignment BAM files directly. Contains several options for every step of the process, as well as tools to quality check and assess the stability of output.
Author: Ilias Moutsopoulos [aut, cre], Irina Mohorianu [aut, ctb], Hajk-Georg Drost [ctb], Elze Lauzikaite [ctb]
Maintainer: Ilias Moutsopoulos <im383@cam.ac.uk>

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Package dyads updated to version 1.1.4 with previous version 1.1.3 dated 2020-12-17

Title: Dyadic Network Analysis
Description: Contains functions for the MCMC simulation of dyadic network models j2 (Zijlstra, 2017, <doi:10.1080/0022250X.2017.1387858>) and p2 (Van Duijn, Snijders & Zijlstra, 2004, <doi: 10.1046/j.0039-0402.2003.00258.x>), and the bidirectional (multilevel) counterpart of the the multilevel p2 model as described in Zijlstra, Van Duijn & Snijders (2009) <doi: 10.1348/000711007X255336>, the (multilevel) b2 model.
Author: Bonne J.H. Zijlstra <B.J.H.Zijlstra@uva.nl>
Maintainer: Bonne J.H. Zijlstra <B.J.H.Zijlstra@uva.nl>

Diff between dyads versions 1.1.3 dated 2020-12-17 and 1.1.4 dated 2021-04-16

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 NAMESPACE                  |    4 +++-
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 5 files changed, 16 insertions(+), 14 deletions(-)

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New package cxr with initial version 1.0.0
Package: cxr
Title: A Toolbox for Modelling Species Coexistence in R
Version: 1.0.0
URL: https://github.com/RadicalCommEcol/cxr
Authors@R: c(person("David", "Garcia-Callejas", role = c("aut", "cre"), email = "david.garcia.callejas@gmail.com", comment = c(ORCID = "0000-0001-6982-476X")), person("Ignasi", "Bartomeus", role = c("aut"), email = "nacho.bartomeus@gmail.com", comment = c(ORCID = "0000-0001-7893-4389")), person("Oscar", "Godoy", role = c("aut"), email = "ogodoy.re@gmail.com", comment = c(ORCID = "0000-0003-4988-6626")), person("Maxime", "Lancelot", role = c("ctb")))
Description: Recent developments in modern coexistence theory have advanced our understanding on how species are able to persist and co-occur with other species at varying abundances. However, applying this mathematical framework to empirical data is still challenging, precluding a larger adoption of the theoretical tools developed by empiricists. This package provides a complete toolbox for modelling interaction effects between species, and calculate fitness and niche differences. The functions are flexible, may accept covariates, and different fitting algorithms can be used. A full description of the underlying methods is available in García-Callejas, D., Godoy, O., and Bartomeus, I. (2020) <doi:10.1111/2041-210X.13443>.
License: MIT + file LICENSE
BugReports: https://github.com/RadicalCommEcol/cxr/issues
Encoding: UTF-8
Depends: R (>= 3.5)
Imports: optimx, stats, mvtnorm
Suggests: ggplot2, tidyr, dplyr, magrittr, knitr, stringr, rmarkdown, testthat (>= 0.8.0), BB, ucminf, dfoptim, minqa, hydroPSO, GenSA, DEoptimR, nloptr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-04-06 11:34:26 UTC; david
Author: David Garcia-Callejas [aut, cre] (<https://orcid.org/0000-0001-6982-476X>), Ignasi Bartomeus [aut] (<https://orcid.org/0000-0001-7893-4389>), Oscar Godoy [aut] (<https://orcid.org/0000-0003-4988-6626>), Maxime Lancelot [ctb]
Maintainer: David Garcia-Callejas <david.garcia.callejas@gmail.com>
Repository: CRAN
Date/Publication: 2021-04-16 09:20:02 UTC

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New package VDSM with initial version 0.1.1
Package: VDSM
Title: Visualization of Distribution of Selected Model
Version: 0.1.1
Authors@R: c( person("Linna", "Wang", email="wang2l9@mail.uc.edu", role=c("aut", "cre")), person("Yichen", "Qin", role="aut"))
Description: Although model selection is ubiquitous in scientific discovery, the stability and uncertainty of the selected model is often hard to evaluate. How to characterize the random behavior of the model selection procedure is the key to understand and quantify the model selection uncertainty. This R package offers several graphical tools to visualize the distribution of the selected model. For example, Gplot(), Hplot(), VDSM_scatterplot() and VDSM_heatmap(). To the best of our knowledge, this is the first attempt to visualize such a distribution. About what distribution of selected model is and how it work please see Qin,Y.and Wang,L. (2021) "Visualization of Model Selection Uncertainty" <https://homepages.uc.edu/~qinyn/VDSM/VDSM.html>.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Imports: ggplot2, plyr, dplyr, grid, viridis, gridExtra, knitr, stats
Depends: R (>= 3.5.0)
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2021-04-16 01:17:59 UTC; jelina
Author: Linna Wang [aut, cre], Yichen Qin [aut]
Maintainer: Linna Wang <wang2l9@mail.uc.edu>
Repository: CRAN
Date/Publication: 2021-04-16 09:00:02 UTC

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Package bridgesampling updated to version 1.1-2 with previous version 1.0-0 dated 2020-02-26

Title: Bridge Sampling for Marginal Likelihoods and Bayes Factors
Description: Provides functions for estimating marginal likelihoods, Bayes factors, posterior model probabilities, and normalizing constants in general, via different versions of bridge sampling (Meng & Wong, 1996, <http://www3.stat.sinica.edu.tw/statistica/j6n4/j6n43/j6n43.htm>). Gronau, Singmann, & Wagenmakers (2020) <doi:10.18637/jss.v092.i10>.
Author: Quentin F. Gronau [aut, cre] (<https://orcid.org/0000-0001-5510-6943>), Henrik Singmann [aut] (<https://orcid.org/0000-0002-4842-3657>), Jonathan J. Forster [ctb], Eric-Jan Wagenmakers [ths], The JASP Team [ctb], Jiqiang Guo [ctb], Jonah Gabry [ctb], Ben Goodrich [ctb], Kees Mulder [ctb], Perry de Valpine [ctb]
Maintainer: Quentin F. Gronau <Quentin.F.Gronau@gmail.com>

Diff between bridgesampling versions 1.0-0 dated 2020-02-26 and 1.1-2 dated 2021-04-16

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New package ADVICE with initial version 1.0
Package: ADVICE
Title: Automatic Direct Variable Selection via Interrupted Coefficient Estimation
Version: 1.0
Authors@R: c(person("L.", "Tazik", role = c("aut", "cre"), email = "ladan.tazik@ubc.ca"), person("W.J.", "Braun", role = c("aut"), email = "john.braun@ubc.ca"))
Author: L. Tazik [aut, cre], W.J. Braun [aut]
Maintainer: L. Tazik <ladan.tazik@ubc.ca>
Description: Accurate point and interval estimation methods for multiple linear regression coefficients, under classical normal and independent error assumptions, taking into account variable selection.
LazyData: true
LazyLoad: true
Depends: R (>= 2.0.1)
ZipData: no
License: Unlimited
NeedsCompilation: no
Packaged: 2021-04-15 23:18:55 UTC; braun
Repository: CRAN
Date/Publication: 2021-04-16 08:50:06 UTC

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New package SpatialKWD with initial version 0.3.1
Package: SpatialKWD
Title: Spatial KWD for Large Spatial Maps
Version: 0.3.1
Date: 2021-04-14
Author: Stefano Gualandi [aut, cre]
Authors@R: c(person("Stefano", "Gualandi", role = c("aut", "cre"), email = "stefano.gualandi@gmail.com") )
Maintainer: Stefano Gualandi <stefano.gualandi@gmail.com>
Description: Contains efficient implementations of Discrete Optimal Transport algorithms for the computation of Kantorovich-Wasserstein distances between pairs of large spatial maps (Bassetti, Gualandi, Veneroni (2020), <doi:10.1137/19M1261195>). All the algorithms are based on an ad-hoc implementation of the Network Simplex algorithm. The package has three main helper functions: "compareOneToOne" (to compare two spatial maps), "compareOneToMany" (to compare a reference maps with a list of other maps), and "compareAll" (to compute a matrix of distances between a list of maps). In case of non-convex maps, the helper functions first build the convex-hull of the input bins and pads the weights with zeros.
License: EUPL (>= 1.2)
Imports: methods, Rcpp
SystemRequirements: C++11
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2021-04-15 13:10:29 UTC; gualandi
Repository: CRAN
Date/Publication: 2021-04-16 07:30:05 UTC

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New package r5r with initial version 0.4.0
Package: r5r
Title: Rapid Realistic Routing with 'R5'
Version: 0.4.0
Authors@R: c( person(given="Marcus", family="Saraiva", email="marcus.saraiva@gmail.com", role="aut", comment = c(ORCID = "0000-0001-6218-2338")), person(given="Rafael H. M.", family="Pereira", email="rafa.pereira.br@gmail.com", role=c("aut", "cre"), comment = c(ORCID = "0000-0003-2125-7465")), person(given="Daniel", family="Herszenhut", email="dhersz@gmail.com", role="aut", comment = c(ORCID = "0000-0001-8066-1105")), person(given="Carlos Kaue Vieira", family="Braga", email="kaue@kauebraga.dev", role="aut", comment = c(ORCID = "0000-0002-6104-7297")), person(given="Matthew Wigginton", family="Conway", email="mwconway@asu.edu", role="aut", comment = c(ORCID = "0000-0002-1210-2982")), person("Ipea - Institue for Applied Economic Research", role = c("cph", "fnd")) )
Description: Rapid realistic routing on multimodal transport networks (walk, bike, public transport and car) using 'R5', the Rapid Realistic Routing on Real-world and Reimagined networks <https://github.com/conveyal/r5>. The package allows users to generate detailed routing analysis or calculate travel time matrices using seamless parallel computing on top of the R5 Java machine.
Date: 2021-04-15
URL: https://github.com/ipeaGIT/r5r
BugReports: https://github.com/ipeaGIT/r5r/issues
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.6)
Suggests: akima, covr, dplyr, ggplot2 (>= 3.3.1), knitr, mapview, rmarkdown, testthat
Imports: checkmate, curl, data.table, httr, methods, jdx (>= 0.1.4), rJava (>= 0.9-10), sf (>= 0.9-3), sfheaders, utils
SystemRequirements: Java JDK (>= 11.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-04-15 14:14:28 UTC; user
Author: Marcus Saraiva [aut] (<https://orcid.org/0000-0001-6218-2338>), Rafael H. M. Pereira [aut, cre] (<https://orcid.org/0000-0003-2125-7465>), Daniel Herszenhut [aut] (<https://orcid.org/0000-0001-8066-1105>), Carlos Kaue Vieira Braga [aut] (<https://orcid.org/0000-0002-6104-7297>), Matthew Wigginton Conway [aut] (<https://orcid.org/0000-0002-1210-2982>), Ipea - Institue for Applied Economic Research [cph, fnd]
Maintainer: Rafael H. M. Pereira <rafa.pereira.br@gmail.com>
Repository: CRAN
Date/Publication: 2021-04-16 07:30:02 UTC

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Package mlr3oml updated to version 0.4.3 with previous version 0.4.2 dated 2021-02-22

Title: Connector Between 'mlr3' and 'OpenML'
Description: Provides an interface to 'OpenML.org' to list and download machine learning data and tasks. Data and tasks can be automatically converted to 'mlr3' tasks. For a more sophisticated interface which also allows uploading experiments, see the 'OpenML' package.
Author: Michel Lang [cre, aut] (<https://orcid.org/0000-0001-9754-0393>)
Maintainer: Michel Lang <michellang@gmail.com>

Diff between mlr3oml versions 0.4.2 dated 2021-02-22 and 0.4.3 dated 2021-04-16

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New package erify with initial version 0.1.0
Package: erify
Title: Check Arguments and Generate Readable Error Messages
Version: 0.1.0
Author: Renfei Mao
Maintainer: Renfei Mao <renfeimao@gmail.com>
Description: Provides several validator functions to check if arguments passed by users have valid types, lengths, etc., and if not, to generate informative and good-formatted error messages in a consistent style. Also provides tools for users to create their own validator functions. The error message style used is adopted from <https://style.tidyverse.org/error-messages.html>.
License: MIT + file LICENSE
URL: https://github.com/flujoo/erify, https://flujoo.github.io/erify/
Encoding: UTF-8
Imports: glue, magrittr, rlang
Suggests: rmarkdown, knitr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-04-15 12:36:33 UTC; flujoo
Repository: CRAN
Date/Publication: 2021-04-16 07:10:02 UTC

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Package DVHmetrics updated to version 0.4.1 with previous version 0.3.10 dated 2020-03-19

Title: Analyze Dose-Volume Histograms and Check Constraints
Description: Functionality for analyzing dose-volume histograms (DVH) in radiation oncology: Read DVH text files, calculate DVH metrics as well as generalized equivalent uniform dose (gEUD), biologically effective dose (BED), equivalent dose in 2 Gy fractions (EQD2), normal tissue complication probability (NTCP), and tumor control probability (TCP). Show DVH diagrams, check and visualize quality assurance constraints for the DVH. Includes web-based graphical user interface.
Author: Daniel Wollschlaeger [aut, cre], Heiko Karle [aut], Heinz Schmidberger [ctb]
Maintainer: Daniel Wollschlaeger <wollschlaeger@uni-mainz.de>

Diff between DVHmetrics versions 0.3.10 dated 2020-03-19 and 0.4.1 dated 2021-04-16

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Package intoo (with last version 0.4.0) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2020-03-06 0.4.0
2019-05-16 0.3.1
2019-04-01 0.3.0
2019-02-24 0.2.0
2018-10-30 0.1.0

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New package survMS with initial version 0.0.1
Package: survMS
Title: Survival Model Simulation
Version: 0.0.1
Depends: ggplot2
Authors@R: person(given = "Mathilde", family = "Sautreuil", role = c("aut", "cre"), email = "mathilde.sautreuil@gmail.com")
URL: https://github.com/mathildesautreuil/survMS/
BugReports: https://github.com/mathildesautreuil/survMS/issues
Maintainer: Mathilde Sautreuil <mathilde.sautreuil@gmail.com>
Description: Package enables the data simulation from different survival models (Cox, AFT, and AH models). The simulated data will have various levels of complexity according to the survival model considered. The implemented methods for the Cox model are described in Ralf Bender, Thomas Augustin, Maria Blettner (2004) <doi:10.1002/sim.2059>.
License: GPL-3
Encoding: UTF-8
LazyData: false
Suggests: knitr, rmarkdown
Imports: graphics
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-04-15 08:18:49 UTC; sautreuim
Author: Mathilde Sautreuil [aut, cre]
Repository: CRAN
Date/Publication: 2021-04-16 07:00:02 UTC

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Package psrwe updated to version 1.3 with previous version 1.2 dated 2020-09-08

Title: PS-Integrated Methods for Incorporating RWE in Clinical Studies
Description: High-quality real-world data can be transformed into scientific real-world evidence (RWE) for regulatory and healthcare decision-making using proven analytical methods and techniques. For example, propensity score (PS) methodology can be applied to pre-select a subset of real-world data containing patients that are similar to those in the current clinical study in terms of covariates, and to stratify the selected patients together with those in the current study into more homogeneous strata. Then, methods such as power prior approach or composite likelihood approach can be applied in each stratum to draw inference for the parameters of interest. This package provides functions that implement the PS-integrated RWE analysis methods proposed in Wang et al. (2019) <doi:10.1080/10543406.2019.1657133>, Wang et al. (2020) <doi:10.1080/10543406.2019.1684309> and Chen et al. (2020) <doi:10.1080/10543406.2020.1730877>.
Author: Chenguang Wang [aut, cre] Trustees of Columbia University [cph] (tools/make_cpp.R, R/stanmodels.R)
Maintainer: Chenguang Wang <cwang68@jhmi.edu>

Diff between psrwe versions 1.2 dated 2020-09-08 and 1.3 dated 2021-04-16

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New package diffmatchpatch with initial version 0.1.0
Package: diffmatchpatch
Title: String Diff, Match, and Patch Utilities
Version: 0.1.0
Date: 2021-04-10
Authors@R: c(person( given = "Colin", family = "Rundel", role = c("aut", "cre"), email = "rundel@gmail.com" ), person( family = "Google Inc.", role = "cph", comment = "diff_match_patch.h" ), person( given = "Neil", family = "Fraser", role = "cph", comment = "diff_match_patch.h" ), person( given = "Mike", family = "Slemmer", role = "cph", comment = "diff_match_patch.h" ), person( given = "Sergey", family = "Nozhenko", role = "cph", comment = "diff_match_patch.h" ), person( given = "Christian", family = "Leutloff", role = "cph", comment = "diff_match_patch.h" ) )
Copyright: Google Inc., Neil Fraser, Mike Slemmer, Sergey Nozhenko, Christian Leutloff, Colin Rundel
Description: A wrapper for Google's 'diff-match-patch' library. It provides basic tools for computing diffs, finding fuzzy matches, and constructing / applying patches to strings.
Encoding: UTF-8
Imports: cli, Rcpp
LinkingTo: Rcpp
License: Apache License (>= 2)
URL: https://github.com/rundel/diffmatchpatch
BugReports: https://github.com/rundel/diffmatchpatch/issues
NeedsCompilation: yes
Packaged: 2021-04-15 11:43:59 UTC; rundel
Author: Colin Rundel [aut, cre], Google Inc. [cph] (diff_match_patch.h), Neil Fraser [cph] (diff_match_patch.h), Mike Slemmer [cph] (diff_match_patch.h), Sergey Nozhenko [cph] (diff_match_patch.h), Christian Leutloff [cph] (diff_match_patch.h)
Maintainer: Colin Rundel <rundel@gmail.com>
Repository: CRAN
Date/Publication: 2021-04-16 07:00:05 UTC

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Package bigassertr updated to version 0.1.4 with previous version 0.1.3 dated 2020-04-01

Title: Assertion and Message Functions
Description: Enhanced message functions (cat() / message() / warning() / error()) using wrappers around sprintf(). Also, multiple assertion functions (e.g. to check class, length, values, files, arguments, etc.).
Author: Florian Privé [aut, cre]
Maintainer: Florian Privé <florian.prive.21@gmail.com>

Diff between bigassertr versions 0.1.3 dated 2020-04-01 and 0.1.4 dated 2021-04-16

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Package rsvd updated to version 1.0.5 with previous version 1.0.3 dated 2020-02-17

Title: Randomized Singular Value Decomposition
Description: Low-rank matrix decompositions are fundamental tools and widely used for data analysis, dimension reduction, and data compression. Classically, highly accurate deterministic matrix algorithms are used for this task. However, the emergence of large-scale data has severely challenged our computational ability to analyze big data. The concept of randomness has been demonstrated as an effective strategy to quickly produce approximate answers to familiar problems such as the singular value decomposition (SVD). The rsvd package provides several randomized matrix algorithms such as the randomized singular value decomposition (rsvd), randomized principal component analysis (rpca), randomized robust principal component analysis (rrpca), randomized interpolative decomposition (rid), and the randomized CUR decomposition (rcur). In addition several plot functions are provided.
Author: N. Benjamin Erichson [aut, cre]
Maintainer: N. Benjamin Erichson <erichson@berkeley.edu>

Diff between rsvd versions 1.0.3 dated 2020-02-17 and 1.0.5 dated 2021-04-16

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Package staRdom (with last version 1.1.18) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2020-11-25 1.1.18
2020-07-28 1.1.14
2020-04-23 1.1.11
2020-04-02 1.1.10
2020-03-13 1.1.7
2020-01-28 1.1.3
2019-11-27 1.1.1
2019-11-19 1.1.0
2019-11-02 1.0.25
2019-08-30 1.0.18
2019-06-27 1.0.14
2019-02-13 1.0.12
2018-06-21 1.0.8
2018-05-02 1.0.5
2018-04-16 1.0.3

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Package chronosphere (with last version 0.4.0) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2020-10-20 0.4.0
2020-08-10 0.3.1
2020-06-10 0.3.0

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Package dnapath (with last version 0.6.7) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2021-03-18 0.6.7
2021-02-14 0.6.6

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Package rstac updated to version 0.9.1 with previous version 0.9.0 dated 2020-12-14

Title: Client Library for SpatioTemporal Asset Catalog
Description: Provides functions to access, search and download spacetime earth observation data via SpatioTemporal Asset Catalog (STAC). This package supports the version 0.8.1 or higher of the STAC specification (<http://stacspec.org>).
Author: Brazil Data Cube Team [cre, aut], National Institute for Space Research (INPE) [cph]
Maintainer: Brazil Data Cube Team <brazildatacube@inpe.br>

Diff between rstac versions 0.9.0 dated 2020-12-14 and 0.9.1 dated 2021-04-16

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Thu, 15 Apr 2021

Package wrProteo updated to version 1.4.1 with previous version 1.4.0 dated 2021-03-10

Title: Proteomics Data Analysis Functions
Description: Data analysis of proteomics experiments by mass spectrometry is supported by this collection of functions mostly dedicated to the analysis of (bottom-up) quantitative (XIC) data. Fasta-formatted proteomes (eg from UniProt Consortium <doi:10.1093/nar/gky1049>) can be read with automatic parsing and multiple annotation types (like species origin, abbreviated gene names, etc) extracted. Quantitative proteomics measurements frequently contain multiple NA values, due to physical absence of given peptides in some samples, limitations in sensitivity or other reasons. The functions provided here help to inspect graphically the data to investigate the nature of NA-values via their respective replicate measurements and to help/confirm the choice of NA-replacement by low random values. Dedicated filtering and statistical testing using the framework of package 'limma' <doi:10.18129/B9.bioc.limma> can be run, enhanced by multiple rounds of NA-replacements to provide robustness towards rare stochastic events. Multi-species samples, as frequently used in benchmark-tests (eg Navarro et al 2016 <doi:10.1038/nbt.3685>, Ramus et al 2016 <doi:10.1016/j.jprot.2015.11.011>), can be run with special options separating the data into sub-groups during normalization and testing. As example the data-set from Ramus et al 2016 <doi:10.1016/j.jprot.2015.11.011>) is provided quantified by MaxQuant (Tyanova et al 2016 <doi:10.1038/nprot.2016.136>), ProteomeDiscoverer, OpenMS (<doi:10.1038/nmeth.3959>) and Proline (Bouyssie et al 2020 <doi:10.1093/bioinformatics/btaa118>). Subsequently, ROC curves (Hand and Till 2001 <doi:10.1023/A:1010920819831>) can be constructed to compare multiple analysis approaches.
Author: Wolfgang Raffelsberger [aut, cre]
Maintainer: Wolfgang Raffelsberger <w.raffelsberger@gmail.com>

Diff between wrProteo versions 1.4.0 dated 2021-03-10 and 1.4.1 dated 2021-04-15

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Package fairml updated to version 0.4 with previous version 0.3 dated 2020-09-09

Title: Fair Models in Machine Learning
Description: Fair machine learning regression models which take sensitive attributes into account in model estimation. Currently implementing Komiyama et al. (2018) <http://proceedings.mlr.press/v80/komiyama18a/komiyama18a.pdf> and an improvement over the former that uses ridge regression to enforce fairness.
Author: Marco Scutari [aut, cre]
Maintainer: Marco Scutari <marco.scutari@gmail.com>

Diff between fairml versions 0.3 dated 2020-09-09 and 0.4 dated 2021-04-15

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Package SPreFuGED (with last version 1.0) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2016-07-29 1.0

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Package YuGene (with last version 1.1.6) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2018-05-16 1.1.6
2015-11-19 1.1.5
2015-07-30 1.1.4
2014-07-13 1.1.2
2014-04-14 1.1.1
2014-02-20 1.1

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Package duawranglr updated to version 0.6.7 with previous version 0.6.5 dated 2019-11-19

Title: Securely Wrangle Dataset According to Data Usage Agreement
Description: Create shareable data sets from raw data files that contain protected elements. Relying on master crosswalk files that list restricted variables, package functions warn users about possible violations of data usage agreement and prevent writing protected elements.
Author: Benjamin Skinner [aut, cre] (<https://orcid.org/0000-0002-0337-7415>)
Maintainer: Benjamin Skinner <btskinner@coe.ufl.edu>

Diff between duawranglr versions 0.6.5 dated 2019-11-19 and 0.6.7 dated 2021-04-15

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Package violinplotter updated to version 2.0.1 with previous version 2.0.0 dated 2021-03-29

Title: Plotting and Comparing Means with Violin Plots
Description: Produces violin plots with optional mean comparison with Tukey's honest significant difference and linear regression. This package aims to be a simple and quick visualization tool for comparing means and assessing trends of categorical factors.
Author: Jefferson Paril <jeffersonparil@gmail.com>
Maintainer: Jefferson Paril <jeffersonparil@gmail.com>

Diff between violinplotter versions 2.0.0 dated 2021-03-29 and 2.0.1 dated 2021-04-15

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Package tidyverse updated to version 1.3.1 with previous version 1.3.0 dated 2019-11-21

Title: Easily Install and Load the 'Tidyverse'
Description: The 'tidyverse' is a set of packages that work in harmony because they share common data representations and 'API' design. This package is designed to make it easy to install and load multiple 'tidyverse' packages in a single step. Learn more about the 'tidyverse' at <https://www.tidyverse.org>.
Author: Hadley Wickham [aut, cre], RStudio [cph, fnd]
Maintainer: Hadley Wickham <hadley@rstudio.com>

Diff between tidyverse versions 1.3.0 dated 2019-11-21 and 1.3.1 dated 2021-04-15

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New package LA with initial version 0.1.0
Package: LA
Title: Lioness Algorithm (LA)
Version: 0.1.0
Authors@R: c( person("Hongzhi", "Wang", email="hw34508@uga.edu", role=c("aut","cre")), person("Qian", "Xiao", role="aut"), person("Abhyuday", "Mandal", role="aut"))
Description: Contains Lioness Algorithm (LA) for finding optimal designs over continuous design space, optimal latin Hypercube Designs, and optimal order-of-addition designs. LA is a brand new nature-inspired meta-heuristic optimization algorithm. Detailed methodologies of LA and its implementation on numerical simulations can be found at Hongzhi Wang, Qian Xiao and Abhyuday Mandal (2021) <arXiv:2010.09154>.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, devtools
Imports: stats, LHD, utils
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-04-14 21:09:47 UTC; wangh
Author: Hongzhi Wang [aut, cre], Qian Xiao [aut], Abhyuday Mandal [aut]
Maintainer: Hongzhi Wang <hw34508@uga.edu>
Repository: CRAN
Date/Publication: 2021-04-15 12:10:06 UTC

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New package childdevdata with initial version 1.1.0
Package: childdevdata
Title: Child Development Data
Version: 1.1.0
Authors@R: c( person("Stef", "van Buuren", email = "stef.vanbuuren@tno.nl", role = c("cre", "aut")), person("Iris", "Eekhout", email = "iris.eekhout@tno.nl", role = "aut"), person("Marta", "Rubio Codina", email = "martarubio@iadb.org", role = "aut"), person("Orazio", "Attanasio", email = "orazio.attanasio@yale.edu", role = "aut"), person("Costas", "Meghir", email = "c.meghir@yale.edu", role = "aut"), person("Emla", "Fitzsimons", email = "e.fitzsimons@ucl.ac.uk", role = "aut"), person("Sally", "Grantham-McGregor", email = "sallymcgregor@yahoo.com", role = "aut"), person("Maria Caridad", "Araujo", email = "mcaraujo@iadb.org", role = "aut"), person("Susan", "Walker", email = "susan.walker@uwimona.edu.jm", role = "aut"), person("Susan", "Chang", role = "aut"), person("Christine", "Powell", role = "aut"), person("Ann", "Weber", email = "annweber@unr.edu", role = "aut"), person("Lia", "Fernald", email = "fernald@berkeley.edu", role = "aut"), person("Paul", "Verkerk", email = "paul.verkerk@tno.nl", role = "aut"), person("Linda", "Richter", email = "linda.richter@wits.ac.za", role = "aut"), person("Betsy", "Lozoff", email = "blozoff@umich.edu", role = "aut"))
Maintainer: Stef van Buuren <stef.vanbuuren@tno.nl>
Description: Measuring child development starts by collecting responses to developmental milestones, such as "able to sit" or "says two words". There are many ways to combine such responses into summaries. The package bundles publicly available datasets with individual milestone data for children aged 0-5 years, with the aim of supporting the construction, evaluation, validation and interpretation of methodologies that aggregate milestone data into informative measures of child development.
License: CC BY 4.0
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10)
URL: https://github.com/d-score/childdevdata, https://d-score.org/childdevdata/
Suggests: spelling
Language: en-GB
NeedsCompilation: no
Packaged: 2021-04-14 21:31:02 UTC; buurensv
Author: Stef van Buuren [cre, aut], Iris Eekhout [aut], Marta Rubio Codina [aut], Orazio Attanasio [aut], Costas Meghir [aut], Emla Fitzsimons [aut], Sally Grantham-McGregor [aut], Maria Caridad Araujo [aut], Susan Walker [aut], Susan Chang [aut], Christine Powell [aut], Ann Weber [aut], Lia Fernald [aut], Paul Verkerk [aut], Linda Richter [aut], Betsy Lozoff [aut]
Repository: CRAN
Date/Publication: 2021-04-15 12:10:02 UTC

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New package QPmin with initial version 0.5-1
Package: QPmin
Version: 0.5-1
Date: 2021-03-29
Title: Linearly Constrained Indefinite Quadratic Program Solver
Author: Andrea Giusto
Maintainer: Andrea Giusto <andrea.giusto@gmail.com>
Depends: R (>= 3.1.0), Matrix, methods
Description: Active set method solver for the solution of indefinite quadratic programs, subject to lower bounds on linear functions of the variables and simple bounds on the variables themselves. The function QPmin() implements an algorithm similar to the one described in Gould (1991) <doi:10.1093/imanum/11.3.299> with the exception that an efficient sparse internal representation of the basis matrix is maintained thus allowing the solution of somewhat large problems.
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2021-04-01 16:47:34 UTC; andrea
Repository: CRAN
Date/Publication: 2021-04-15 11:30:05 UTC

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Package jlctree updated to version 0.0.2 with previous version 0.0.1 dated 2018-12-27

Title: Joint Latent Class Trees for Joint Modeling of Time-to-Event and Longitudinal Data
Description: Implements the tree-based approach to joint modeling of time-to-event and longitudinal data. This approach looks for a tree-based partitioning such that within each estimated latent class defined by a terminal node, the time-to-event and longitudinal responses display a lack of association. See Zhang and Simonoff (2018) <arXiv:1812.01774>.
Author: Ningshan Zhang and Jeffrey S. Simonoff
Maintainer: Ningshan Zhang <nzhang@stern.nyu.edu>

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New package iAR with initial version 0.1.0
Package: iAR
Title: Irregularly Observed Autoregressive Models
Version: 0.1.0
Authors@R: c( person("Elorrieta", "Felipe", email = "felipe.elorrieta@usach.cl", role = c("aut","cre")), person("Ojeda", "Cesar", email = "cesar.ojeda@correounivalle.edu.co", role = "aut"), person("Eyheramendy", "Susana", email = "susana.eyheramendy@gmail.com", role = "aut"), person("Palma", "Wilfredo", email = "wilfredo.palma@gmail.com", role = "aut"))
Description: Data sets, functions and scripts with examples to implement autoregressive models for irregularly observed time series. The models available in this package are the irregular autoregressive model (Eyheramendy et al.(2018) <doi:10.1093/mnras/sty2487>), the complex irregular autoregressive model (Elorrieta et al.(2019) <doi:10.1051/0004-6361/201935560>) and the bivariate irregular autoregressive model.
Encoding: UTF-8
License: GPL-2
Imports: ggplot2,stats,Rdpack
Suggests: arfima
Depends: R (>= 3.5.0)
URL: https://github.com/felipeelorrieta
LazyData: true
RdMacros: Rdpack
NeedsCompilation: no
Packaged: 2021-04-14 13:15:44 UTC; felo
Author: Elorrieta Felipe [aut, cre], Ojeda Cesar [aut], Eyheramendy Susana [aut], Palma Wilfredo [aut]
Maintainer: Elorrieta Felipe <felipe.elorrieta@usach.cl>
Repository: CRAN
Date/Publication: 2021-04-15 11:30:02 UTC

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New package distribglm with initial version 0.4.1
Package: distribglm
Title: Distributed Generalized Linear Models
Version: 0.4.1
Authors@R: c(person(given = "John", family = "Muschelli", email = "muschellij2@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0001-6469-1750")) )
Description: Distributed generalized linear models (GLM) fitting using Fisher scoring from McCullagh and Nelder (1989) <ISBN:0412317605>. Models are to be fit using a primary-secondary relationship, where the results are written to a synced folder, but data can be elsewhere though it is loaded in memory. Additional functions are available for deploying a plumber 'API'.
License: GPL-3
Encoding: UTF-8
Imports: readr, stats
URL: https://github.com/muschellij2/distribglm
BugReports: https://github.com/muschellij2/distribglm/issues
Suggests: testthat (>= 2.1.0), httr, jsonlite, plumberDeploy, analogsea (>= 0.9.0)
NeedsCompilation: no
Packaged: 2021-04-14 13:27:56 UTC; johnmuschelli
Author: John Muschelli [aut, cre] (<https://orcid.org/0000-0001-6469-1750>)
Maintainer: John Muschelli <muschellij2@gmail.com>
Repository: CRAN
Date/Publication: 2021-04-15 11:50:02 UTC

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Package viridis updated to version 0.6.0 with previous version 0.5.1 dated 2018-03-29

Title: Default Color Maps from 'matplotlib'
Description: Color maps designed to improve graph readability for readers with common forms of color blindness and/or color vision deficiency. The color maps are also perceptually-uniform, both in regular form and also when converted to black-and-white for printing. This package also contains 'ggplot2' bindings for discrete and continuous color and fill scales. A lean version of the package called 'viridisLite' that does not include the 'ggplot2' bindings can be found at <https://cran.r-project.org/package=viridisLite>.
Author: Simon Garnier [aut, cre], Noam Ross [ctb, cph], Bob Rudis [ctb, cph], Marco Sciaini [ctb, cph], Antônio Pedro Camargo [ctb, cph], Cédric Scherer [ctb, cph]
Maintainer: Simon Garnier <garnier@njit.edu>

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Package Superpower updated to version 0.1.1 with previous version 0.1.0 dated 2020-09-03

Title: Simulation-Based Power Analysis for Factorial Designs
Description: Functions to perform simulations of ANOVA designs of up to three factors. Calculates the observed power and average observed effect size for all main effects and interactions in the ANOVA, and all simple comparisons between conditions. Includes functions for analytic power calculations and additional helper functions that compute effect sizes for ANOVA designs, observed error rates in the simulations, and functions to plot power curves. Please see Lakens, D., & Caldwell, A. R. (2021). "Simulation-Based Power Analysis for Factorial Analysis of Variance Designs". <doi:10.1177/2515245920951503>.
Author: Aaron Caldwell [aut, cre], Daniel Lakens [aut], Lisa DeBruine [ctb], Jonathon Love [ctb], Frederik Aust [ctb] (<https://orcid.org/0000-0003-4900-788X>)
Maintainer: Aaron Caldwell <arcaldwell49@gmail.com>

Diff between Superpower versions 0.1.0 dated 2020-09-03 and 0.1.1 dated 2021-04-15

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Package spatstat.geom updated to version 2.1-0 with previous version 2.0-1 dated 2021-03-22

Title: Geometrical Functionality of the 'spatstat' Family
Description: Defines types of spatial data such as point patterns, mainly in two dimensions, but also in higher dimensions. Provides class support, and functions for geometrical operations on spatial data, used in the 'spatstat' family of packages. Excludes spatial data on a linear network, which are covered by the separate package 'spatstat.linnet'.
Author: Adrian Baddeley [aut, cre], Rolf Turner [aut], Ege Rubak [aut], Tilman Davies [ctb], Ute Hahn [ctb], Abdollah Jalilian [ctb], Sebastian Meyer [ctb], Suman Rakshit [ctb], Dominic Schuhmacher [ctb], Rasmus Waagepetersen [ctb]
Maintainer: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>

Diff between spatstat.geom versions 2.0-1 dated 2021-03-22 and 2.1-0 dated 2021-04-15

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 16 files changed, 360 insertions(+), 208 deletions(-)

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New package selfmade with initial version 0.1
Package: selfmade
Title: Selective Inference for Mixed and Additive Model Estimators
Version: 0.1
Authors@R: person("David", "Ruegamer", email = "david.ruegamer@gmail.com", role = c("aut", "cre"))
Description: Calculates Monte Carlo approximations to conduct selective inference for mixed and additive regression models after model selection as proposed by Ruegamer, Baumann and Greven (2020) <arXiv:2007.07930>.
Depends: R (>= 3.5)
License: GPL (>= 2)
Encoding: UTF-8
LazyData: false
Imports: Matrix, lme4, mgcv
Suggests: knitr, rmarkdown, gamm4, lmerTest
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-04-13 21:45:55 UTC; david
Author: David Ruegamer [aut, cre]
Maintainer: David Ruegamer <david.ruegamer@gmail.com>
Repository: CRAN
Date/Publication: 2021-04-15 08:30:02 UTC

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New package report with initial version 0.3.0
Package: report
Title: Automated Reporting of Results and Statistical Models
Version: 0.3.0
Authors@R: c(person(given = "Dominique", family = "Makowski", role = c("aut", "cre"), email = "dom.makowski@gmail.com", comment = c(ORCID = "0000-0001-5375-9967", Twitter = "@Dom_Makowski")), person(given = "Daniel", family = "Lüdecke", role = "aut", email = "d.luedecke@uke.de", comment = c(ORCID = "0000-0002-8895-3206")), person(given = "Mattan S.", family = "Ben-Shachar", role = "aut", email = "matanshm@post.bgu.ac.il", comment = c(ORCID = "0000-0002-4287-4801")), person(given = "Indrajeet", family = "Patil", role = "aut", email = "patilindrajeet.science@gmail.com", comment = c(ORCID = "0000-0003-1995-6531", Twitter = "@patilindrajeets")), person(given = "Rudolf", family = "Siegel", role = "ctb", email = "mutlusun@users.noreply.github.com", comment = c(ORCID = "0000-0002-6021-804X")))
Maintainer: Dominique Makowski <dom.makowski@gmail.com>
Description: The aim of the 'report' package is to bridge the gap between R’s output and the formatted results contained in your manuscript. This package converts statistical models and data frames into textual reports suited for publication, ensuring standardization and quality in results reporting.
License: GPL-3
URL: https://easystats.github.io/report/
BugReports: https://github.com/easystats/report/issues
Imports: bayestestR (>= 0.9.0), effectsize (>= 0.4.4), insight (>= 0.13.2), parameters (>= 0.13.0), performance (>= 0.7.1), stats, tools, utils
Suggests: BayesFactor, brms, dplyr, httr, knitr, lavaan, lme4, logspline, rmarkdown, rstanarm, spelling, testthat
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
Collate: 'cite_easystats.R' 'format_algorithm.R' 'format_citation.R' 'format_formula.R' 'format_model.R' 'format_text.R' 'utils_combine_tables.R' 'report.lm.R' 'report.MixMod.R' 'report_text.R' 'report.R' 'report.htest.R' 'report.aov.R' 'report.bayesfactor_models.R' 'report.lme4.R' 'report.stanreg.R' 'report.brmsfit.R' 'report.character.R' 'report.compare_performance.R' 'report.data.frame.R' 'report.default.R' 'report.factor.R' 'report.glm.R' 'report.glmmTMB.R' 'report.lavaan.R' 'report.lme.R' 'report.numeric.R' 'report.sessionInfo.R' 'report.survreg.R' 'report.test_performance.R' 'report.zeroinfl.R' 'report_effectsize.R' 'report_info.R' 'report_intecept.R' 'report_misc.R' 'report_model.R' 'report_parameters.R' 'report_participants.R' 'report_performance.R' 'report_priors.R' 'report_random.R' 'report_sample.R' 'report_statistics.R' 'report_table.R' 'startup_message.R' 'utils_data.R' 'utils_error_message.R' 'utils_grouped_df.R'
NeedsCompilation: no
Packaged: 2021-04-14 03:44:51 UTC; user
Author: Dominique Makowski [aut, cre] (<https://orcid.org/0000-0001-5375-9967>, @Dom_Makowski), Daniel Lüdecke [aut] (<https://orcid.org/0000-0002-8895-3206>), Mattan S. Ben-Shachar [aut] (<https://orcid.org/0000-0002-4287-4801>), Indrajeet Patil [aut] (<https://orcid.org/0000-0003-1995-6531>, @patilindrajeets), Rudolf Siegel [ctb] (<https://orcid.org/0000-0002-6021-804X>)
Repository: CRAN
Date/Publication: 2021-04-15 08:50:22 UTC

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New package migraph with initial version 0.6.2
Package: migraph
Title: Multimodal and Multilevel Network Analysis
Version: 0.6.2
Date: 2021-04-13
Description: A set of tools that extend common social network analysis packages for analysing multimodal and multilevel networks. It includes functions for one- and two-mode (and sometimes three-mode) centrality, centralization, clustering, and constraint, as well as for one- and two-mode network regression and block-modelling. All functions operate with matrices, edge lists, and 'igraph', 'network'/'sna', and 'tidygraph' objects. The package is released as a complement to 'Multimodal Political Networks' (2021, ISBN:9781108985000), and includes various datasets used in the book.
URL: https://github.com/snlab-ch/migraph
BugReports: https://github.com/snlab-ch/migraph/issues
Depends: R (>= 4.0.0)
License: MIT + file LICENSE
Language: en-GB
Encoding: UTF-8
LazyData: true
Imports: igraph, tidygraph, ggplot2, ggraph, R6, magrittr, rlang, dplyr, purrr, tibble, tidyr, network
Suggests: testthat, roxygen2, covr, knitr, rmarkdown
Authors@R: c(person(given = "James", family = "Hollway", role = c("cph", "cre", "aut", "ctb"), email = "james.hollway@graduateinstitute.ch", comment = c("IHEID", ORCID = "0000-0002-8361-9647")))
NeedsCompilation: no
Packaged: 2021-04-13 18:37:05 UTC; hollway
Author: James Hollway [cph, cre, aut, ctb] (IHEID, <https://orcid.org/0000-0002-8361-9647>)
Maintainer: James Hollway <james.hollway@graduateinstitute.ch>
Repository: CRAN
Date/Publication: 2021-04-15 08:20:02 UTC

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New package m61r with initial version 0.0.2
Package: m61r
Version: 0.0.2
Authors@R: c(person("Jean-Marie","Lepioufle", , "pv71u98h1@gmail.com", c("aut","cre")))
Title: Package About Data Manipulation in Pure Base R
Description: Data manipulation in one package and in base R. Minimal. No dependencies. 'dplyr' and 'tidyr'-like in one place. Nothing else than base R to build the package.
Depends: R (>= 3.4.4)
License: MIT + file LICENSE
URL: https://github.com/pv71u98h1/m61r/
BugReports: https://github.com/pv71u98h1/m61r/issues/
Encoding: UTF-8
LazyData: false
NeedsCompilation: no
Packaged: 2021-04-13 19:04:45 UTC; jean-marie
Author: Jean-Marie Lepioufle [aut, cre]
Maintainer: Jean-Marie Lepioufle <pv71u98h1@gmail.com>
Repository: CRAN
Date/Publication: 2021-04-15 08:20:05 UTC

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New package segregatr with initial version 0.2.0
Package: segregatr
Title: Segregation Analysis for Variant Interpretation
Version: 0.2.0
Authors@R: person(given = "Magnus Dehli", family = "Vigeland", role = c("aut", "cre"), email = "m.d.vigeland@medisin.uio.no", comment = c(ORCID = "0000-0002-9134-4962"))
Description: An implementation of the full-likelihood Bayes factor (FLB) for evaluating segregation evidence in clinical medical genetics. The method was introduced by Thompson et al. (2003) <doi:10.1086/378100>, and further popularised by Bayrak-Toydemir et al. (2008) <doi:10.1016/j.yexmp.2008.03.006>. This implementation allows custom penetrance values and liability classes, and includes specialised pedigree visualisations.
License: GPL-3
URL: https://github.com/magnusdv/segregatr
BugReports: https://github.com/magnusdv/segregatr/issues
Encoding: UTF-8
Language: en-GB
Depends: pedtools
Imports: pedprobr
Suggests: testthat (>= 2.1.0)
NeedsCompilation: no
Packaged: 2021-04-13 08:57:36 UTC; magnusdv
Author: Magnus Dehli Vigeland [aut, cre] (<https://orcid.org/0000-0002-9134-4962>)
Maintainer: Magnus Dehli Vigeland <m.d.vigeland@medisin.uio.no>
Repository: CRAN
Date/Publication: 2021-04-15 07:40:03 UTC

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New package rPanglaoDB with initial version 0.1.0
Package: rPanglaoDB
Title: Download and Merge Single-Cell RNA-Seq Data from the PanglaoDB Database
Version: 0.1.0
Authors@R: c(person("Daniel","Osorio", email = "daniecos@uio.no", role = c("aut","cre"), comment = c(ORCID = "0000-0003-4424-8422")), person("Marieke","Kuijjer", role = c("aut"), comment = c(ORCID = "0000-0001-6280-3130")), person("James J.","Cai", role = c("aut"), comment = c(ORCID = "0000-0002-8081-6725")))
Description: Download and merge labeled single-cell RNA-seq data from the PanglaoDB <https://panglaodb.se/> into a Seurat object.
License: GPL-3
Encoding: UTF-8
LazyData: false
Imports: methods, XML, xml2, Seurat, pbapply, Matrix
NeedsCompilation: no
Packaged: 2021-04-13 05:59:56 UTC; danie
Author: Daniel Osorio [aut, cre] (<https://orcid.org/0000-0003-4424-8422>), Marieke Kuijjer [aut] (<https://orcid.org/0000-0001-6280-3130>), James J. Cai [aut] (<https://orcid.org/0000-0002-8081-6725>)
Maintainer: Daniel Osorio <daniecos@uio.no>
Repository: CRAN
Date/Publication: 2021-04-15 07:20:02 UTC

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New package RegKink with initial version 0.1.0
Package: RegKink
Version: 0.1.0
Title: Regression Kink with a Time-Varying Threshold
Authors@R: c( person("Lixiong", "Yang", email = "ylx@lzu.edu.cn", role = c("aut", "cre")))
Description: An algorithm is proposed to estimate regression kink model proposed by the paper, Lixiong Yang and Jen-Je Su (2018) <doi:10.1016/j.jimonfin.2018.06.002>.
Imports: MASS
Depends: R (>= 3.5.0)
License: GPL
Encoding: UTF-8
Author: Lixiong Yang [aut, cre]
Maintainer: Lixiong Yang <ylx@lzu.edu.cn>
NeedsCompilation: no
Packaged: 2021-04-13 07:58:25 UTC; ylx
Repository: CRAN
Date/Publication: 2021-04-15 07:30:06 UTC

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Package RcppParallel updated to version 5.1.2 with previous version 5.1.1 dated 2021-04-11

Title: Parallel Programming Tools for 'Rcpp'
Description: High level functions for parallel programming with 'Rcpp'. For example, the 'parallelFor()' function can be used to convert the work of a standard serial "for" loop into a parallel one and the 'parallelReduce()' function can be used for accumulating aggregate or other values.
Author: JJ Allaire [aut], Romain Francois [aut, cph], Kevin Ushey [aut, cre], Gregory Vandenbrouck [aut], Marcus Geelnard [aut, cph] (TinyThread library, https://tinythreadpp.bitsnbites.eu/), Hamada S. Badr [ctb] (<https://orcid.org/0000-0002-9808-2344>), RStudio [cph], Intel [aut, cph] (Intel TBB library, https://www.threadingbuildingblocks.org/), Microsoft [cph]
Maintainer: Kevin Ushey <kevin@rstudio.com>

Diff between RcppParallel versions 5.1.1 dated 2021-04-11 and 5.1.2 dated 2021-04-15

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More information about RcppParallel at CRAN
Permanent link

New package onsr with initial version 1.0.0
Package: onsr
Title: Client for the 'ONS' API
Version: 1.0.0
Authors@R: person(given = "Kostas", family = "Vasilopoulos", role = c("aut", "cre"), email = "k.vasilopoulo@gmail.com")
Description: Client for the 'Office of National Statistics' ('ONS') API <https://api.beta.ons.gov.uk/v1>.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Imports: httr, jsonlite, readr, tibble
URL: https://kvasilopoulos.github.io/onsr/
BugReports: https://github.com/kvasilopoulos/onsr/issues
Suggests: testthat (>= 3.0.0), data.table, vroom, curl
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2021-04-13 15:16:21 UTC; T460p
Author: Kostas Vasilopoulos [aut, cre]
Maintainer: Kostas Vasilopoulos <k.vasilopoulo@gmail.com>
Repository: CRAN
Date/Publication: 2021-04-15 08:00:02 UTC

More information about onsr at CRAN
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New package measurementProtocol with initial version 0.1.0
Package: measurementProtocol
Version: 0.1.0
Title: Send Data from R to the Measurement Protocol
Description: Send server-side tracking data from R. The Measurement Protocol version 2 <https://developers.google.com/analytics/devguides/collection/protocol/ga4> allows sending HTTP tracking events from R code.
Authors@R: c(person("Mark", "Edmondson", email = "r@sunholo.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-8434-3881")), person("Sunholo Ltd", role = "cph"))
URL: https://code.markedmondson.me/measurementProtocol/
BugReports: https://github.com/MarkEdmondson1234/measurementProtocol
Depends: R (>= 3.3.0)
Imports: assertthat (>= 0.2.0), cli, httr (>= 1.3.1), jsonlite (>= 1.5), rappdirs (>= 0.3.3), stats, utils
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: rmarkdown, knitr, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2021-04-13 08:18:41 UTC; mark
Author: Mark Edmondson [aut, cre] (<https://orcid.org/0000-0002-8434-3881>), Sunholo Ltd [cph]
Maintainer: Mark Edmondson <r@sunholo.com>
Repository: CRAN
Date/Publication: 2021-04-15 07:40:06 UTC

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New package longit with initial version 0.1.0
Title: High Dimensional Longitudinal Data Analysis Using MCMC
Package: longit
Version: 0.1.0
Date: 2021-04-06
Depends: R (>= 2.10)
Imports: AICcmodavg, missForest,R2jags,rjags,utils
LazyData: Yes
LazyDataCompression: xz
ByteCompile: Yes
Authors@R: c(person(("Atanu"), "Bhattacharjee", email="atanustat@gmail.com", role=c("aut", "cre","ctb")),person(("Akash"), "Pawar", role=c("aut","ctb")),person(("Bhrigu Kumar"),"Rajbongshi", role=c("aut","ctb")))
Description: High dimensional longitudinal data analysis with Markov Chain Monte Carlo(MCMC). Currently support mixed effect regression with or without missing observations by considering covariance structures. It provides estimates by missing at random and missing not at random assumptions. In this R package, we present Bayesian approaches that statisticians and clinical researchers can easily use. The functions' methodology is based on the book "Bayesian Approaches in Oncology Using R and OpenBUGS" by Bhattacharjee A (2020) <doi:10.1201/9780429329449-14>.
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
Maintainer: Atanu Bhattacharjee <atanustat@gmail.com>
Packaged: 2021-04-13 17:02:31 UTC; atanu
Author: Atanu Bhattacharjee [aut, cre, ctb], Akash Pawar [aut, ctb], Bhrigu Kumar Rajbongshi [aut, ctb]
Repository: CRAN
Date/Publication: 2021-04-15 08:00:05 UTC

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New package libbib with initial version 1.0
Package: libbib
Title: Various Utilities for Library Science/Assessment and Cataloging
Version: 1.0
Authors@R: person("Tony", "Fischetti", email="tony.fischetti@gmail.com", role=c("aut", "cre"))
Maintainer: Tony Fischetti <tony.fischetti@gmail.com>
Description: Provides functions for validating and normalizing bibliographic codes such as ISBN, ISSN, and LCCN. Also provides functions to translate LC Call numbers to their subject classifications or subclassifications.
License: GPL-3
Depends: R (>= 3.5.0), data.table, utils
Imports: stringr
Suggests: assertr, testthat, knitr, magrittr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2021-04-13 15:02:26 UTC; tonyfischetti
Author: Tony Fischetti [aut, cre]
Repository: CRAN
Date/Publication: 2021-04-15 07:50:03 UTC

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New package iSubGen with initial version 1.0.0
Package: iSubGen
Title: Integrative Subtype Generation
Version: 1.0.0
Date: 2021-04-07
Author: Natalie Fox
Maintainer: Natalie Fox <nfox@mednet.ucla.edu>
Description: Multi-data type subtyping, which is data type agnostic and accepts missing data. Subtyping is performed using intermediary assessments created with autoencoders and similarity calculations.
Depends: R (>= 3.2.3)
Imports: ConsensusClusterPlus, cluster (>= 1.14.4), keras, tensorflow, philentropy
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
License: GPL-2
NeedsCompilation: no
Packaged: 2021-04-13 03:51:51 UTC; nfox
Repository: CRAN
Date/Publication: 2021-04-15 07:20:05 UTC

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New package himach with initial version 0.1.0
Package: himach
Title: High Mach Finds Routes for Supersonic Aircraft
Version: 0.1.0
Authors@R: c(person(given = "David", family = "Marsh", role = c("aut", "cre"), email = "david.marsh@eurocontrol.int"), person(family = "EUROCONTROL", role = c("fnd", "cph")))
Description: For supersonic aircraft, flying subsonic over land, High Mach finds the best route between airports. Allows for coastal buffer and potentially closed regions. Uses minimal model of aircraft performance: focus is on time saved versus subsonic flight, rather than vertical flight profile. For modelling and forecasting, not for planning your flight!
License: MIT + file LICENSE
URL: https://github.com/david6marsh/himach
BugReports: https://github.com/david6marsh/himach/issues
Depends: R (>= 3.5.0)
Imports: cppRouting, dplyr (>= 1.0.0), ggplot2, s2, sf (>= 0.9-7), sp, tidyr
Suggests: airportr, cowplot, data.table, geosphere, knitr, methods, purrr, progress, rmarkdown, rnaturalearthdata, scales, stringr, testthat, units, utils, viridis, covr
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
Language: en-GB
NeedsCompilation: no
Packaged: 2021-04-13 07:34:34 UTC; david
Author: David Marsh [aut, cre], EUROCONTROL [fnd, cph]
Maintainer: David Marsh <david.marsh@eurocontrol.int>
Repository: CRAN
Date/Publication: 2021-04-15 07:30:02 UTC

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Package geeCRT updated to version 0.1.0 with previous version 0.0.1 dated 2020-11-11

Title: Bias-Corrected GEE for Cluster Randomized Trials
Description: Population-averaged models have been increasingly used in the design and analysis of cluster randomized trials (CRTs). To facilitate the applications of population-averaged models in CRTs, the package implements the generalized estimating equations (GEE) and matrix-adjusted estimating equations (MAEE) approaches to jointly estimate the marginal mean models correlation models both for general CRTs and stepped wedge CRTs. Despite the general GEE/MAEE approach, the package also implements a fast cluster-period GEE method by Li et al. (2021) <doi:10.1093/biostatistics/kxaa056> specifically for stepped wedge CRTs with large and variable cluster-period sizes and gives a simple and efficient estimating equations approach based on the cluster-period means to estimate the intervention effects as well as correlation parameters. In addition, the package also provides functions for generating correlated binary data with specific mean vector and correlation matrix based on the multivariate probit method in Emrich and Piedmonte (1991) <doi:10.1080/00031305.1991.10475828> or the conditional linear family method in Qaqish (2003) <doi:10.1093/biomet/90.2.455>.
Author: Hengshi Yu [aut, cre], Fan Li [aut], Paul Rathouz [aut], Elizabeth L. Turner [aut], John Preisser [aut]
Maintainer: Hengshi Yu <hengshi@umich.edu>

Diff between geeCRT versions 0.0.1 dated 2020-11-11 and 0.1.0 dated 2021-04-15

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More information about geeCRT at CRAN
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Package deepdep (with last version 0.2.2) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2021-03-31 0.2.2
2020-05-06 0.2.1
2020-03-06 0.2.0

Permanent link
Package tidysq (with last version 1.1.0) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2021-03-12 1.1.0

Permanent link
Package BayesRGMM (with last version 1.0) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2021-03-31 1.0

Permanent link
Package zipcodeR updated to version 0.3.0 with previous version 0.2.0 dated 2020-12-12

Title: Data & Functions for Working with US ZIP Codes
Description: Make working with ZIP codes in R painless with an integrated dataset of U.S. ZIP codes and functions for working with them. Search ZIP codes by multiple geographies, including state, county, city & across time zones. Also included are functions for relating ZIP codes to Census data.
Author: Gavin Rozzi [aut, cre] (<https://orcid.org/0000-0002-9969-8175>)
Maintainer: Gavin Rozzi <gr@gavinrozzi.com>

Diff between zipcodeR versions 0.2.0 dated 2020-12-12 and 0.3.0 dated 2021-04-15

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Package kubik updated to version 0.3.0 with previous version 0.2.0 dated 2020-03-23

Title: Cubic Hermite Splines and Related Root Finding Methods
Description: Supports cubic Hermite splines (Fritsch & Carlson, 1980 <doi:10.1137/0717021>), along with their derivatives/integrals. Also, supports monotonically increasing/decreasing splines, and computes their roots and minimum/maximum points.
Author: Abby Spurdle
Maintainer: Abby Spurdle <spurdle.a@gmail.com>

Diff between kubik versions 0.2.0 dated 2020-03-23 and 0.3.0 dated 2021-04-15

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Package H2x2Factorial updated to version 1.1.0 with previous version 1.0.3 dated 2021-02-06

Title: Sample Size Calculation in Hierarchical 2x2 Factorial Trials
Description: Implements the sample size methods for hierarchical 2x2 factorial trials under a series of hypothesis tests proposed in "Sample size calculation in hierarchical 2x2 factorial trials with unequal cluster sizes" (under review), and provides the table and plot generators for the sample size estimations.
Author: Zizhong Tian [aut, cre], Denise Esserman [aut], Guangyu Tong [aut], Fan Li [aut]
Maintainer: Zizhong Tian <zizhong.tian@yale.edu>

Diff between H2x2Factorial versions 1.0.3 dated 2021-02-06 and 1.1.0 dated 2021-04-15

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Package DatabaseConnector updated to version 4.0.2 with previous version 4.0.0 dated 2021-03-02

Title: Connecting to Various Database Platforms
Description: An R 'DataBase Interface' ('DBI') compatible interface to various database platforms ('PostgreSQL', 'Oracle', 'Microsoft SQL Server', 'Amazon Redshift', 'Microsoft Parallel Database Warehouse', 'IBM Netezza', 'Apache Impala', 'Google BigQuery', and 'SQLite'). Also includes support for fetching data as 'Andromeda' objects. Uses 'Java Database Connectivity' ('JDBC') to connect to databases (except SQLite).
Author: Martijn Schuemie [aut, cre], Marc Suchard [aut], Observational Health Data Science and Informatics [cph], Microsoft Inc. [cph] (SQL Server JDBC driver), PostgreSQL Global Development Group [cph] (PostgreSQL JDBC driver), Oracle Inc. [cph] (Oracle JDBC driver), Amazon Inc. [cph] (RedShift JDBC driver)
Maintainer: Martijn Schuemie <schuemie@ohdsi.org>

Diff between DatabaseConnector versions 4.0.0 dated 2021-03-02 and 4.0.2 dated 2021-04-15

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 R/CtasHack.R                                                      |    6 
 R/DBI.R                                                           |   16 
 R/DatabaseConnector.R                                             |    4 
 R/Drivers.R                                                       |   18 
 R/InsertTable.R                                                   |    7 
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Package CBCgrps updated to version 2.8.2 with previous version 2.8.1 dated 2020-08-26

Title: Compare Baseline Characteristics Between Groups
Description: Compare baseline characteristics between two or more groups. The variables being compared can be factor and numeric variables. The function will automatically judge the type and distribution of the variables, and make statistical description and bivariate analysis.
Author: Zhongheng Zhang, Sir Run Run Shaw hospital, Zhejiang university school of medicine
Maintainer: Zhongheng Zhang <zh_zhang1984@zju.edu.cn>

Diff between CBCgrps versions 2.8.1 dated 2020-08-26 and 2.8.2 dated 2021-04-15

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Package arctools updated to version 1.1.2 with previous version 1.1.0 dated 2021-01-09

Title: Processing and Physical Activity Summaries of Minute Level Activity Data
Description: Provides functions to process minute level actigraphy-measured activity counts data and extract commonly used physical activity volume and fragmentation metrics.
Author: Marta Karas [aut, cre] (<https://orcid.org/0000-0001-5889-3970>), Jacek Urbanek [aut] (<https://orcid.org/0000-0002-1890-8899>), Jennifer Schrack [aut] (<https://orcid.org/0000-0001-9244-9267>)
Maintainer: Marta Karas <marta.karass@gmail.com>

Diff between arctools versions 1.1.0 dated 2021-01-09 and 1.1.2 dated 2021-04-15

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Permanent link

Package BaMORC (with last version 1.0.1) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2019-01-02 1.0.1
2018-11-14 1.0

Permanent link

Wed, 14 Apr 2021

Package reReg updated to version 1.4.0 with previous version 1.3.0 dated 2020-07-22

Title: Recurrent Event Regression
Description: A comprehensive collection of practical and easy-to-use tools for regression analysis of recurrent events, with or without the presence of a (possibly) informative terminal event. The modeling framework is based on a joint frailty scale-change model, that includes models described in Wang et al. (2001) <doi:10.1198/016214501753209031>, Huang and Wang (2004) <doi:10.1198/016214504000001033>, Xu et al. (2017) <doi:10.1080/01621459.2016.1173557>, and Xu et al. (2019) <doi:10.5705/SS.202018.0224> as special cases. The implemented estimating procedure does not require any parametric assumption on the frailty distribution. The package also allows the users to specify different model forms for both the recurrent event process and the terminal event.
Author: Sy Han (Steven) Chiou [aut, cre], Chiung-Yu Huang [aut]
Maintainer: Sy Han (Steven) Chiou <schiou@utdallas.edu>

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Package inti updated to version 0.2.0 with previous version 0.1.3 dated 2021-03-20

Title: Tools and Statistical Procedures in Plant Science
Description: The 'inti' package is part of the 'inkaverse' project for developing different procedures and tools used in plant science and experimental designs. The mean aim of the package is to support researchers during the planning of experiments and data collection (tarpuy()), data analysis and graphics (yupana()) , and technical writing (rtciles()). Learn more about the 'inkaverse' project at <https://inkaverse.com/>.
Author: Flavio Lozano-Isla [aut, cre] (<https://orcid.org/0000-0002-0714-669X>)
Maintainer: Flavio Lozano-Isla <flavjack@gmail.com>

Diff between inti versions 0.1.3 dated 2021-03-20 and 0.2.0 dated 2021-04-14

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Package haven updated to version 2.4.0 with previous version 2.3.1 dated 2020-06-01

Title: Import and Export 'SPSS', 'Stata' and 'SAS' Files
Description: Import foreign statistical formats into R via the embedded 'ReadStat' C library, <https://github.com/WizardMac/ReadStat>.
Author: Hadley Wickham [aut, cre], Evan Miller [aut, cph] (Author of included ReadStat code), RStudio [cph, fnd]
Maintainer: Hadley Wickham <hadley@rstudio.com>

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Package ddiv updated to version 0.1.1 with previous version 0.1.0 dated 2018-09-28

Title: Data Driven I-v Feature Extraction
Description: The Data Driven I-V Feature Extraction is used to extract Current-Voltage (I-V) features from I-V curves. I-V curves indicate the relationship between current and voltage for a solar cell or Photovoltaic (PV) modules. The I-V features such as maximum power point (Pmp), shunt resistance (Rsh), series resistance (Rs),short circuit current (Isc), open circuit voltage (Voc), fill factor (FF), current at maximum power (Imp) and voltage at maximum power(Vmp) contain important information of the performance for PV modules. The traditional method uses the single diode model to model I-V curves and extract I-V features. This package does not use the diode model, but uses data-driven a method which select different linear parts of the I-V curves to extract I-V features. This method also uses a sampling method to calculate uncertainties when extracting I-V features. Also, because of the partially shaded array, "steps" occurs in I-V curves. The "Segmented Regression" method is used to identify steps in I-V curves. This material is based upon work supported by the U.S. Department of Energy’s Office of Energy Efficiency and Renewable Energy (EERE) under Solar Energy Technologies Office (SETO) Agreement Number DE-EE0007140. Further information can be found in the following paper. [1] Ma, X. et al, 2019. <doi:10.1109/JPHOTOV.2019.2928477>.
Author: Wei-Heng Huang [aut] (<https://orcid.org/0000-0002-6609-4981>), Xuan Ma [aut] (<https://orcid.org/0000-0003-2361-2846>), Jiqi Liu [aut] (<https://orcid.org/0000-0003-2016-4160>), Menghong Wang [ctb] (<https://orcid.org/0000-0001-7349-699X>), Alan J. Curran [ctb] (<https://orcid.org/0000-0002-4505-8359>), Justin S. Fada [ctb] (<https://orcid.org/0000-0002-0029-5051>), Jean-Nicolas Jaubert [ctb] (<https://orcid.org/0000-0002-9663-6999>), Jing Sun [ctb] (<https://orcid.org/0000-0002-4313-2316>), Jennifer L. Braid [ctb] (<https://orcid.org/0000-0002-0677-7756>), Jenny Brynjarsdottir [ctb] (<https://orcid.org/0000-0003-1859-4962>), Roger H. French [aut, cph] (<https://orcid.org/0000-0002-6162-0532>), Megan M. Morbitzer [ctb, cre] (<https://orcid.org/0000-0002-9847-2350>)
Maintainer: Megan M. Morbitzer <mmm308@case.edu>

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Package windex updated to version 2.0.2 with previous version 2.0.1 dated 2021-01-13

Title: Analysing Convergent Evolution using the Wheatsheaf Index
Description: Analysing convergent evolution using the Wheatsheaf index, described in Arbuckle et al. (2014) <doi: 10.1111/2041-210X.12195>, and some other random but perhaps useful functions.
Author: Kevin Arbuckle and Amanda Minter
Maintainer: Kevin Arbuckle <kevin.arbuckle@swansea.ac.uk>

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Package geobr updated to version 1.6 with previous version 1.5-1 dated 2021-02-06

Title: Download Official Spatial Data Sets of Brazil
Description: Easy access to official spatial data sets of Brazil as 'sf' objects in R. The package includes a wide range of geospatial data available at various geographic scales and for various years with harmonized attributes, projection and fixed topology.
Author: Rafael H. M. Pereira [aut, cre] (<https://orcid.org/0000-0003-2125-7465>), Caio Nogueira Goncalves [aut], Paulo Henrique Fernandes de Araujo [ctb], Guilherme Duarte Carvalho [ctb], Rodrigo Almeida de Arruda [ctb], Igor Nascimento [ctb], Barbara Santiago Pedreira da Costa [ctb], Welligtton Silva Cavedo [ctb], Pedro R. Andrade [ctb], Alan da Silva [ctb], Carlos Kauê Vieira Braga [ctb], Carl Schmertmann [ctb], Alessandro Samuel-Rosa [ctb], Daniel Ferreira [ctb], Ipea - Institue for Applied Economic Research [cph, fnd]
Maintainer: Rafael H. M. Pereira <rafa.pereira.br@gmail.com>

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Package sasLM updated to version 0.5.2 with previous version 0.5.1 dated 2021-03-16

Title: 'SAS' Linear Model
Description: This is a core implementation of 'SAS' procedures for linear models - GLM, REG, and ANOVA. Some R packages provide type II and type III SS. However, the results of nested and complex designs are often different from those of 'SAS.' Different results does not necessarily mean incorrectness. However, many wants the same results to SAS. This package aims to achieve that. Reference: Littell RC, Stroup WW, Freund RJ (2002, ISBN:0-471-22174-0).
Author: Kyun-Seop Bae [aut]
Maintainer: Kyun-Seop Bae <k@acr.kr>

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Package formatR updated to version 1.9 with previous version 1.8 dated 2021-03-12

Title: Format R Code Automatically
Description: Provides a function tidy_source() to format R source code. Spaces and indent will be added to the code automatically, and comments will be preserved under certain conditions, so that R code will be more human-readable and tidy. There is also a Shiny app as a user interface in this package (see tidy_app()).
Author: Yihui Xie [aut, cre] (<https://orcid.org/0000-0003-0645-5666>), Ed Lee [ctb], Eugene Ha [ctb], Kohske Takahashi [ctb], Pavel Krivitsky [ctb]
Maintainer: Yihui Xie <xie@yihui.name>

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Package DT updated to version 0.18 with previous version 0.17 dated 2021-01-06

Title: A Wrapper of the JavaScript Library 'DataTables'
Description: Data objects in R can be rendered as HTML tables using the JavaScript library 'DataTables' (typically via R Markdown or Shiny). The 'DataTables' library has been included in this R package. The package name 'DT' is an abbreviation of 'DataTables'.
Author: Yihui Xie [aut, cre], Joe Cheng [aut], Xianying Tan [aut], JJ Allaire [ctb], Maximilian Girlich [ctb], Greg Freedman Ellis [ctb], Johannes Rauh [ctb], jQuery contributors [ctb, cph] (jQuery in htmlwidgets/lib), SpryMedia Limited [ctb, cph] (DataTables in htmlwidgets/lib), Brian Reavis [ctb, cph] (selectize.js in htmlwidgets/lib), Leon Gersen [ctb, cph] (noUiSlider in htmlwidgets/lib), Bartek Szopka [ctb, cph] (jquery.highlight.js in htmlwidgets/lib), RStudio, PBC [cph]
Maintainer: Yihui Xie <xie@yihui.name>

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Package blogdown updated to version 1.3 with previous version 1.2 dated 2021-03-04

Title: Create Blogs and Websites with R Markdown
Description: Write blog posts and web pages in R Markdown. This package supports the static site generator 'Hugo' (<https://gohugo.io>) best, and it also supports 'Jekyll' (<https://jekyllrb.com>) and 'Hexo' (<https://hexo.io>).
Author: Yihui Xie [aut, cre] (<https://orcid.org/0000-0003-0645-5666>), Christophe Dervieux [aut] (<https://orcid.org/0000-0003-4474-2498>), Alison Presmanes Hill [aut] (<https://orcid.org/0000-0002-8082-1890>), Amber Thomas [ctb], Beilei Bian [ctb], Brandon Greenwell [ctb], Brian Barkley [ctb], Deependra Dhakal [ctb], Eric Nantz [ctb], Forest Fang [ctb], Garrick Aden-Buie [ctb], Hiroaki Yutani [ctb], Ian Lyttle [ctb], Jake Barlow [ctb], James Balamuta [ctb], JJ Allaire [ctb], Jon Calder [ctb], Jozef Hajnala [ctb], Juan Manuel Vazquez [ctb], Kevin Ushey [ctb], Leonardo Collado-Torres [ctb], Maëlle Salmon [ctb], Maria Paula Caldas [ctb], Nicolas Roelandt [ctb], Oliver Madsen [ctb], Raniere Silva [ctb], TC Zhang [ctb], Xianying Tan [ctb], RStudio, PBC [cph]
Maintainer: Yihui Xie <xie@yihui.name>

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Package testit updated to version 0.13 with previous version 0.12 dated 2020-09-25

Title: A Simple Package for Testing R Packages
Description: Provides two convenience functions assert() and test_pkg() to facilitate testing R packages.
Author: Yihui Xie [aut, cre] (<https://orcid.org/0000-0003-0645-5666>), Steven Mortimer [ctb]
Maintainer: Yihui Xie <xie@yihui.name>

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Package servr updated to version 0.22 with previous version 0.21 dated 2020-12-14

Title: A Simple HTTP Server to Serve Static Files or Dynamic Documents
Description: Start an HTTP server in R to serve static files, or dynamic documents that can be converted to HTML files (e.g., R Markdown) under a given directory.
Author: Yihui Xie [aut, cre] (<https://orcid.org/0000-0003-0645-5666>), Carson Sievert [ctb], Jesse Anderson [ctb], Ramnath Vaidyanathan [ctb]
Maintainer: Yihui Xie <xie@yihui.name>

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Package RolWinMulCor updated to version 1.2.0 with previous version 1.0.0 dated 2020-08-31

Title: Subroutines to Estimate Rolling Window Multiple Correlation
Description: Rolling Window Multiple Correlation ('RolWinMulCor') estimates the rolling (running) window correlation for the bi- and multi-variate cases between regular (sampled on identical time points) time series, with especial emphasis to ecological data although this can be applied to other kinds of data sets. 'RolWinMulCor' is based on the concept of rolling, running or sliding window and is useful to evaluate the evolution of correlation through time and time-scales. 'RolWinMulCor' contains six functions. The first two focus on the bi-variate case: (1) rolwincor_1win() and (2) rolwincor_heatmap(), which estimate the correlation coefficients and the their respective p-values for only one window-length (time-scale) and considering all possible window-lengths or a band of window-lengths, respectively. The second two functions: (3) rolwinmulcor_1win() and (4) rolwinmulcor_heatmap() are designed to analyze the multi-variate case, following the bi-variate case to visually display the results, but these two approaches are methodologically different. That is, the multi-variate case estimates the adjusted coefficients of determination instead of the correlation coefficients. The last two functions: (5) plot_1win() and (6) plot_heatmap() are used to represent graphically the outputs of the four aforementioned functions as simple plots or as heat maps. The functions contained in 'RolWinMulCor' are highly flexible since these contains several parameters to control the estimation of correlation and the features of the plot output, e.g. to remove the (linear) trend contained in the time series under analysis, to choose different p-value correction methods (which are used to address the multiple comparison problem) or to personalise the plot outputs. The 'RolWinMulCor' package also provides examples with synthetic and real-life ecological time series to exemplify its use. Methods derived from H. Abdi. (2007) <https://personal.utdallas.edu/~herve/Abdi-MCC2007-pretty.pdf>, R. Telford (2013) <https://quantpalaeo.wordpress.com/2013/01/04/, J. M. Polanco-Martinez (2019) <doi:10.1007/s11071-019-04974-y>, and J. M. Polanco-Martinez (2020) <doi:10.1016/j.ecoinf.2020.101163>.
Author: Josue M. Polanco-Martinez [aut, cph, cre] (<https://orcid.org/0000-0001-7164-0185>)
Maintainer: Josue M. Polanco-Martinez <josue.m.polanco@gmail.com>

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Package pense updated to version 2.0.3 with previous version 2.0.2 dated 2020-10-05

Title: Penalized Elastic Net S/MM-Estimator of Regression
Description: Robust penalized (adaptive) elastic net S and M estimators for linear regression. The methods are proposed in Cohen Freue, G. V., Kepplinger, D., Salibián-Barrera, M., and Smucler, E. (2019) <https://projecteuclid.org/euclid.aoas/1574910036>. The package implements the extensions and algorithms described in Kepplinger, D. (2020) <doi:10.14288/1.0392915>.
Author: David Kepplinger [aut, cre], Matías Salibián-Barrera [aut], Gabriela Cohen Freue [aut]
Maintainer: David Kepplinger <david.kepplinger@gmail.com>

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 pense-2.0.3/pense/NEWS.md                                                                                     |    5 
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 pense-2.0.3/pense/R/control_options.R                                                                         |    6 
 pense-2.0.3/pense/R/elnet.R                                                                                   |    6 
 pense-2.0.3/pense/R/pense_regression.R                                                                        |   17 
 pense-2.0.3/pense/R/print-methods.R                                                                           |    9 
 pense-2.0.3/pense/R/regmest_regression.R                                                                      |    5 
 pense-2.0.3/pense/R/utilities-internal.R                                                                      |   29 
 pense-2.0.3/pense/build/partial.rdb                                                                           |binary
 pense-2.0.3/pense/build/pense.pdf                                                                             |binary
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 pense-2.0.3/pense/configure                                                                                   |  877 ----------
 pense-2.0.3/pense/configure.ac                                                                                |    4 
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 pense-2.0.3/pense/man/coef.pense_cvfit.Rd                                                                     |    3 
 pense-2.0.3/pense/man/coef.pense_fit.Rd                                                                       |    3 
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More information about pense at CRAN
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Package pagedown updated to version 0.14 with previous version 0.13 dated 2020-11-30

Title: Paginate the HTML Output of R Markdown with CSS for Print
Description: Use the paged media properties in CSS and the JavaScript library 'paged.js' to split the content of an HTML document into discrete pages. Each page can have its page size, page numbers, margin boxes, and running headers, etc. Applications of this package include books, letters, reports, papers, business cards, resumes, and posters.
Author: Yihui Xie [aut, cre] (<https://orcid.org/0000-0003-0645-5666>), Romain Lesur [aut, cph] (<https://orcid.org/0000-0002-0721-5595>), Brent Thorne [aut] (<https://orcid.org/0000-0002-1099-3857>), Xianying Tan [aut] (<https://orcid.org/0000-0002-6072-3521>), Christophe Dervieux [ctb] (<https://orcid.org/0000-0003-4474-2498>), Atsushi Yasumoto [ctb] (<https://orcid.org/0000-0002-8335-495X>), RStudio, PBC [cph], Adam Hyde [ctb] (paged.js in resources/js/), Min-Zhong Lu [ctb] (resume.css in resources/css/), Zulko [ctb] (poster-relaxed.css in resources/css/)
Maintainer: Yihui Xie <xie@yihui.name>

Diff between pagedown versions 0.13 dated 2020-11-30 and 0.14 dated 2021-04-14

 DESCRIPTION                         |    7 
 MD5                                 |   34 
 NEWS.md                             |   36 
 R/chrome.R                          |   63 
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 inst/resources/lua/loft.lua         |    8 
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 tests/test-travis.R                 |    4 
 tests/test-travis/test-chrome.R     |    7 
 18 files changed, 9092 insertions(+), 5425 deletions(-)

More information about pagedown at CRAN
Permanent link

Package knitr updated to version 1.32 with previous version 1.31 dated 2021-01-27

Title: A General-Purpose Package for Dynamic Report Generation in R
Description: Provides a general-purpose tool for dynamic report generation in R using Literate Programming techniques.
Author: Yihui Xie [aut, cre] (<https://orcid.org/0000-0003-0645-5666>), Abhraneel Sarma [ctb], Adam Vogt [ctb], Alastair Andrew [ctb], Alex Zvoleff [ctb], Andre Simon [ctb] (the CSS files under inst/themes/ were derived from the Highlight package http://www.andre-simon.de), Aron Atkins [ctb], Aaron Wolen [ctb], Ashley Manton [ctb], Atsushi Yasumoto [ctb] (<https://orcid.org/0000-0002-8335-495X>), Ben Baumer [ctb], Brian Diggs [ctb], Brian Zhang [ctb], Cassio Pereira [ctb], Christophe Dervieux [ctb], David Hall [ctb], David Hugh-Jones [ctb], David Robinson [ctb], Doug Hemken [ctb], Duncan Murdoch [ctb], Elio Campitelli [ctb], Ellis Hughes [ctb], Emily Riederer [ctb], Fabian Hirschmann [ctb], Fitch Simeon [ctb], Forest Fang [ctb], Frank E Harrell Jr [ctb] (the Sweavel package at inst/misc/Sweavel.sty), Garrick Aden-Buie [ctb], Gregoire Detrez [ctb], Hadley Wickham [ctb], Hao Zhu [ctb], Heewon Jeon [ctb], Henrik Bengtsson [ctb], Hiroaki Yutani [ctb], Ian Lyttle [ctb], Hodges Daniel [ctb], Jake Burkhead [ctb], James Manton [ctb], Jared Lander [ctb], Jason Punyon [ctb], Javier Luraschi [ctb], Jeff Arnold [ctb], Jenny Bryan [ctb], Jeremy Ashkenas [ctb, cph] (the CSS file at inst/misc/docco-classic.css), Jeremy Stephens [ctb], Jim Hester [ctb], Joe Cheng [ctb], Johannes Ranke [ctb], John Honaker [ctb], John Muschelli [ctb], Jonathan Keane [ctb], JJ Allaire [ctb], Johan Toloe [ctb], Jonathan Sidi [ctb], Joseph Larmarange [ctb], Julien Barnier [ctb], Kaiyin Zhong [ctb], Kamil Slowikowski [ctb], Karl Forner [ctb], Kevin K. Smith [ctb], Kirill Mueller [ctb], Kohske Takahashi [ctb], Lorenz Walthert [ctb], Lucas Gallindo [ctb], Marius Hofert [ctb], Martin Modrák [ctb], Michael Chirico [ctb], Michael Friendly [ctb], Michal Bojanowski [ctb], Michel Kuhlmann [ctb], Miller Patrick [ctb], Nacho Caballero [ctb], Nick Salkowski [ctb], Niels Richard Hansen [ctb], Noam Ross [ctb], Obada Mahdi [ctb], Pavel N. Krivitsky [ctb] (<https://orcid.org/0000-0002-9101-3362>), Qiang Li [ctb], Ramnath Vaidyanathan [ctb], Richard Cotton [ctb], Robert Krzyzanowski [ctb], Romain Francois [ctb], Ruaridh Williamson [ctb], Scott Kostyshak [ctb], Sebastian Meyer [ctb], Sietse Brouwer [ctb], Simon de Bernard [ctb], Sylvain Rousseau [ctb], Taiyun Wei [ctb], Thibaut Assus [ctb], Thibaut Lamadon [ctb], Thomas Leeper [ctb], Tim Mastny [ctb], Tom Torsney-Weir [ctb], Trevor Davis [ctb], Viktoras Veitas [ctb], Weicheng Zhu [ctb], Wush Wu [ctb], Zachary Foster [ctb]
Maintainer: Yihui Xie <xie@yihui.name>

Diff between knitr versions 1.31 dated 2021-01-27 and 1.32 dated 2021-04-14

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Package fairness updated to version 1.2.2 with previous version 1.2.1 dated 2021-03-31

Title: Algorithmic Fairness Metrics
Description: Offers calculation, visualization and comparison of algorithmic fairness metrics. Fair machine learning is an emerging topic with the overarching aim to critically assess whether ML algorithms reinforce existing social biases. Unfair algorithms can propagate such biases and produce predictions with a disparate impact on various sensitive groups of individuals (defined by sex, gender, ethnicity, religion, income, socioeconomic status, physical or mental disabilities). Fair algorithms possess the underlying foundation that these groups should be treated similarly or have similar prediction outcomes. The fairness R package offers the calculation and comparisons of commonly and less commonly used fairness metrics in population subgroups. These methods are described by Calders and Verwer (2010) <doi:10.1007/s10618-010-0190-x>, Chouldechova (2017) <doi:10.1089/big.2016.0047>, Feldman et al. (2015) <doi:10.1145/2783258.2783311> , Friedler et al. (2018) <doi:10.1145/3287560.3287589> and Zafar et al. (2017) <doi:10.1145/3038912.3052660>. The package also offers convenient visualizations to help understand fairness metrics.
Author: Nikita Kozodoi [aut, cre], Tibor V. Varga [aut] (<https://orcid.org/0000-0002-2383-699X>)
Maintainer: Nikita Kozodoi <n.kozodoi@icloud.com>

Diff between fairness versions 1.2.1 dated 2021-03-31 and 1.2.2 dated 2021-04-14

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 MD5                       |   36 ++++++++++++++++++------------------
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More information about fairness at CRAN
Permanent link

Package terra updated to version 1.1-17 with previous version 1.1-4 dated 2021-03-09

Title: Spatial Data Analysis
Description: Methods for spatial data analysis, especially raster data. Methods allow for low-level data manipulation as well as high-level global, local, zonal, and focal computation. The predict and interpolate methods facilitate the use of regression type (interpolation, machine learning) models for spatial prediction. Processing of very large files is supported. See the manual and tutorials on <https://rspatial.org/terra/> to get started. 'terra' is very similar to the 'raster' package; but 'terra' can do more and it simpler to use and it is faster.
Author: Robert J. Hijmans [cre, aut] (<https://orcid.org/0000-0001-5872-2872>), Roger Bivand [ctb] (<https://orcid.org/0000-0003-2392-6140>), Karl Forner [ctb], Jeroen Ooms [ctb] (<https://orcid.org/0000-0002-4035-0289>), Edzer Pebesma [ctb] (<https://orcid.org/0000-0001-8049-7069>)
Maintainer: Robert J. Hijmans <r.hijmans@gmail.com>

Diff between terra versions 1.1-4 dated 2021-03-09 and 1.1-17 dated 2021-04-14

 terra-1.1-17/terra/DESCRIPTION                       |   14 
 terra-1.1-17/terra/MD5                               |  306 +++++----
 terra-1.1-17/terra/NAMESPACE                         |    5 
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 163 files changed, 6303 insertions(+), 2551 deletions(-)

More information about terra at CRAN
Permanent link

New package rjpdmp with initial version 1.0.0
Package: rjpdmp
Title: Reversible Jump PDMP Samplers
Version: 1.0.0
Author: Matt Sutton, Augustin Chevalier, Paul Fearnhead, with PolyaGamma simulation code contributed from Jesse Windle and James G. Scott (<https://github.com/jgscott/helloPG>)
Maintainer: Matt Sutton <matt.sutton.stat@gmail.com>
Description: Provides an implementation of the reversible jump piecewise deterministic Markov processes (PDMPs) methods developed in the paper Reversible Jump PDMP Samplers for Variable Selection (Chevallier, Fearnhead, Sutton 2020, <arXiv:2010.11771>). It also contains an implementation of a Gibbs sampler for variable selection in Logistic regression based on Polya-Gamma augmentation.
License: GPL (>= 2)
Encoding: UTF-8
Imports: data.table, Rcpp (>= 0.12.3)
Suggests: MASS
LinkingTo: Rcpp, RcppArmadillo
NeedsCompilation: yes
Packaged: 2021-04-10 10:20:12 UTC; matt
Repository: CRAN
Date/Publication: 2021-04-14 13:10:02 UTC

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Package latrend updated to version 1.1.2 with previous version 1.1.0 dated 2021-03-05

Title: A Framework for Clustering Longitudinal Data
Description: A framework for clustering longitudinal datasets in a standardized way. Provides an interface to existing R packages for clustering longitudinal univariate trajectories, facilitating reproducible and transparent analyses. Additionally, standard tools are provided to support cluster analyses, including repeated estimation, model validation, and model assessment. The interface enables users to compare results between methods, and to implement and evaluate new methods with ease.
Author: Niek Den Teuling [aut, cre] (<https://orcid.org/0000-0003-1026-5080>), Steffen Pauws [ctb], Edwin van den Heuvel [ctb], Copyright © 2021 Koninklijke Philips N.V. [cph]
Maintainer: Niek Den Teuling <niek.den.teuling@philips.com>

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Package states updated to version 0.3.1 with previous version 0.3.0 dated 2020-12-11

Title: Create Panels of Independent States
Description: Create panel data consisting of independent states from 1816 to the present. The package includes the Gleditsch & Ward (G&W) and Correlates of War (COW) lists of independent states, as well as helper functions for working with state panel data and standardizing other data sources to create country-year/month/etc. data.
Author: Andreas Beger [cre, aut] (<https://orcid.org/0000-0003-1883-3169>)
Maintainer: Andreas Beger <adbeger@gmail.com>

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Package svgtools updated to version 1.0.3 with previous version 1.0.1 dated 2021-03-03

Title: Manipulate SVG (Template) Files of Charts
Description: The purpose of this package is to manipulate SVG files that are templates of charts the user wants to produce. In vector graphics one copes with x-/y-coordinates of elements (e.g. lines, rectangles, text). Their scale is often dependent on the program that is used to produce the graphics. In applied statistics one usually has numeric values on a fixed scale (e.g. percentage values between 0 and 100) to show in a chart. Basically, 'svgtools' transforms the statistical values into coordinates and widths/heights of the vector graphics. This is done by stackedBar() for bar charts, by linesSymbols() for charts with lines and/or symbols (dot markers) and scatterSymbols() for scatterplots.
Author: Konrad Oberwimmer [aut, cre], Christian Wimmer [aut], Michael Bruneforth [ctb]
Maintainer: Konrad Oberwimmer <konrad.oberwimmer@iqs.gv.at>

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Package PAMA updated to version 1.0.0 with previous version 0.1.1 dated 2020-04-09

Title: Rank Aggregation with Partition Mallows Model
Description: Rank aggregation aims to achieve a better ranking list given multiple observations. 'PAMA' implements Partition-Mallows model for rank aggregation where the rankers' quality are different. Both Bayesian inference and Maximum likelihood estimation (MLE) are provided. It can handle partial list as well. When covariates information is available, this package can make inference by incorporating the covariate information. More information can be found in the paper "Integrated Partition-Mallows Model and Its Inference for Rank Aggregation". The paper is accepted by Journal of the American Statistical Association.
Author: Wanchuang Zhu [cre, aut]
Maintainer: Wanchuang Zhu <andy.chou.sub@gmail.com>

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Package midasml updated to version 0.1.0 with previous version 0.0.6 dated 2021-03-12

Title: Estimation and Prediction Methods for High-Dimensional Mixed Frequency Time Series Data
Description: The 'midasml' package implements estimation and prediction methods for high-dimensional mixed-frequency (MIDAS) time-series and panel data regression models. The regularized MIDAS models are estimated using orthogonal (e.g. Legendre) polynomials and sparse-group LASSO (sg-LASSO) estimator. For more information on the `midasml' approach see Babii, Ghysels, and Striaukas (2021, JBES forthcoming) <doi:10.1080/07350015.2021.1899933>. The package is equipped with the fast implementation of the sg-LASSO estimator by means of proximal block coordinate descent. High-dimensional mixed frequency time-series data can also be easily manipulated with functions provided in the package.
Author: Jonas Striaukas [cre, aut], Andrii Babii [aut], Eric Ghysels [aut], Alex Kostrov [ctb] (Contributions to analytical gradients for non-linear low-dimensional MIDAS estimation code)
Maintainer: Jonas Striaukas <jonas.striaukas@gmail.com>

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Package hockeystick updated to version 0.5.0 with previous version 0.4.0 dated 2021-02-05

Title: Download and Visualize Essential Climate Change Data
Description: Provides easy access to essential climate change datasets to non-climate experts. Users can download the latest raw data from authoritative sources and view it via pre-defined 'ggplot2' charts. Datasets include atmospheric CO2, instrumental and proxy temperature records, sea levels, Arctic/Antarctic sea-ice, Hurricanes, and Paleoclimate data. Sources include: NOAA Mauna Loa Laboratory <https://www.esrl.noaa.gov/gmd/ccgg/trends/data.html>, NASA GISTEMP <https://data.giss.nasa.gov/gistemp/>, National Snow and Sea Ice Data Center <https://nsidc.org/data/seaice_index/archives>, CSIRO <https://research.csiro.au/slrwavescoast/sea-level/measurements-and-data/sea-level-data/>, NOAA Laboratory for Satellite Altimetry <https://www.star.nesdis.noaa.gov/socd/lsa/SeaLevelRise/> and HURDAT Atlantic Hurricane Database <https://www.aoml.noaa.gov/hrd/hurdat/Data_Storm.html>, Vostok Paleo carbon dioxide and temperature data: <https://cdiac.ess-dive.lbl.gov/trends/co2/vostok.html>.
Author: Hernando Cortina [aut, cre] (<https://orcid.org/0000-0001-6790-4870>)
Maintainer: Hernando Cortina <hch@alum.mit.edu>

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Package diseq updated to version 0.2.1 with previous version 0.1.5 dated 2021-03-02

Title: Estimation Methods for Markets in Equilibrium and Disequilibrium
Description: Provides estimation methods for markets in equilibrium and disequilibrium. Supports the estimation of an equilibrium and four disequilibrium models with both correlated and independent shocks. Also provides post-estimation analysis tools, such as aggregation, marginal effect, and shortage calculations. The estimation methods are based on full information maximum likelihood techniques given in Maddala and Nelson (1974) <doi:10.2307/1914215>. They are implemented using the analytic derivative expressions calculated in Karapanagiotis (2020) <doi:10.2139/ssrn.3525622>. Standard errors can be estimated by adjusting for heteroscedasticity or clustering. The equilibrium estimation constitutes a case of a system of linear, simultaneous equations. Instead, the disequilibrium models replace the market-clearing condition with a non-linear, short-side rule and allow for different specifications of price dynamics.
Author: Pantelis Karapanagiotis [aut, cre] (<https://orcid.org/0000-0001-9871-1908>)
Maintainer: Pantelis Karapanagiotis <pikappa.devel@gmail.com>

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New package lookup with initial version 1.0
Package: lookup
Title: Functions Similar to VLOOKUP in Excel
Version: 1.0
Authors@R: person("Kevin","Wright", email="kw.stat@gmail.com", comment=c(ORCID = "0000-0002-0617-8673"), role=c("aut","cre"))
Description: Simple functions to lookup items in key-value pairs. See Mehta (2021) <doi:10.1007/978-1-4842-6613-7_6>.
URL: https://kwstat.github.io/lookup/
BugReports: https://github.com/kwstat/lookup/issues
License: MIT + file LICENSE
Language: en-US
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-04-12 18:54:06 UTC; wrightkevi
Author: Kevin Wright [aut, cre] (<https://orcid.org/0000-0002-0617-8673>)
Maintainer: Kevin Wright <kw.stat@gmail.com>
Repository: CRAN
Date/Publication: 2021-04-14 09:20:03 UTC

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Package itraxR updated to version 1.2 with previous version 1.1 dated 2021-03-01

Title: Itrax Data Analysis Tools
Description: Parse, trim, join, visualise and analyse data from Itrax sediment core multi-parameter scanners manufactured by Cox Analytical Systems, Sweden. Functions are provided for parsing XRF-peak area files, line-scan optical images, and radiographic images, alongside accompanying metadata. A variety of data wrangling tasks like trimming, joining and reducing XRF-peak area data are simplified. Principle component analysis (PCA), cluster analysis and associated multivariate methods are implemented with appropriate data transformation.
Author: Thomas Bishop
Maintainer: Thomas Bishop <tombishopemail@gmail.com>

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New package codename with initial version 0.1.0
Package: codename
Title: Generation of Code Names for Organizations, People, Projects, and Whatever Else
Version: 0.1.0
Depends: R (>= 3.5.0)
Authors@R: person("Steve", "Miller", email = "steven.v.miller@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0003-4072-6263"))
Maintainer: Steve Miller <steven.v.miller@gmail.com>
Description: This creates code names that a user can consider for their organizations, their projects, themselves, people in their organizations or projects, or whatever else. The user can also supply a numeric seed (and even a character seed) for maximum reproducibility. Use is simple and the code names produced come in various types too, contingent on what the user may be desiring as a code name or nickname.
License: GPL-2
Encoding: UTF-8
LazyData: true
Suggests: tibble
URL: https://github.com/svmiller/codename
BugReports: https://github.com/svmiller/codename/issues/
NeedsCompilation: no
Packaged: 2021-04-12 14:45:54 UTC; steve
Author: Steve Miller [aut, cre] (<https://orcid.org/0000-0003-4072-6263>)
Repository: CRAN
Date/Publication: 2021-04-14 09:00:02 UTC

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Package treasuryTR updated to version 0.1.2 with previous version 0.1.1 dated 2021-03-11

Title: Generate Treasury Total Returns from Yield Data
Description: Generate Total Returns (TR) from bond yield data with fixed maturity, e.g. reported treasury yields. The generated TR series are very close to alternative series that can be purchased (e.g. CRSP, Bloomberg), suggesting they are a high-quality alternative for those, see Swinkels (2019) <doi:10.3390/data4030091>.
Author: Martin Geissmann [aut, cre]
Maintainer: Martin Geissmann <mg@econovo.ch>

Diff between treasuryTR versions 0.1.1 dated 2021-03-11 and 0.1.2 dated 2021-04-14

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Package rBiasCorrection updated to version 0.2.9 with previous version 0.2.8 dated 2021-03-28

Title: Correct Bias in DNA Methylation Analyses
Description: Implementation of the algorithms (with minor modifications) to correct bias in quantitative DNA methylation analyses as described by Moskalev et al. (2011) <doi:10.1093/nar/gkr213>.
Author: Lorenz A. Kapsner [cre, aut, cph] (<https://orcid.org/0000-0003-1866-860X>), Evgeny A. Moskalev [aut]
Maintainer: Lorenz A. Kapsner <lorenz.kapsner@gmail.com>

Diff between rBiasCorrection versions 0.2.8 dated 2021-03-28 and 0.2.9 dated 2021-04-14

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Package pkgcache updated to version 1.2.1 with previous version 1.2.0 dated 2021-03-01

Title: Cache 'CRAN'-Like Metadata and R Packages
Description: Metadata and package cache for CRAN-like repositories. This is a utility package to be used by package management tools that want to take advantage of caching.
Author: Gábor Csárdi [aut, cre]
Maintainer: Gábor Csárdi <csardi.gabor@gmail.com>

Diff between pkgcache versions 1.2.0 dated 2021-03-01 and 1.2.1 dated 2021-04-14

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Package Rinstapkg (with last version 0.1.0) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2019-06-08 0.1.0

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Package robcp (with last version 0.3.0) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2021-03-30 0.3.0
2020-01-24 0.2.5
2019-06-03 0.2.4

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Package r5r (with last version 0.3-3) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2021-03-09 0.3-3
2021-01-08 0.3-2
2021-01-07 0.3-1
2021-01-05 0.3-0
2020-11-30 0.2-1
2020-10-20 0.2-0

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Package wordpressr (with last version 0.2.1) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2021-02-11 0.2.1
2021-01-04 0.2.0
2020-09-29 0.1.1

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Package SpatialKWD (with last version 0.3.0) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2021-03-31 0.3.0

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Package fairmodels updated to version 1.0.1 with previous version 0.2.4 dated 2020-12-12

Title: Flexible Tool for Bias Detection, Visualization, and Mitigation
Description: Measure fairness metrics in one place for many models. Check how big is model's bias towards different races, sex, nationalities etc. Use measures such as Statistical Parity, Equal odds to detect the discrimination against unprivileged groups. Visualize the bias using heatmap, radar plot, biplot, bar chart (and more!). There are various pre-processing and post-processing bias mitigation algorithms implemented. Find more details in (Wiśniewski, Biecek (2021)) <arXiv:2104.00507>.
Author: Jakub Wiśniewski [aut, cre], Przemysław Biecek [aut] (<https://orcid.org/0000-0001-8423-1823>)
Maintainer: Jakub Wiśniewski <jakwisn@gmail.com>

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Package dataverse updated to version 0.3.8 with previous version 0.3.7 dated 2021-03-08

Title: Client for Dataverse 4+ Repositories
Description: Provides access to Dataverse APIs <https://dataverse.org/> (versions 4-5), enabling data search, retrieval, and deposit. For Dataverse versions <= 3.0, use the archived 'dvn' package <https://cran.r-project.org/package=dvn>.
Author: Will Beasley [aut, cre] (<https://orcid.org/0000-0002-5613-5006>), Thomas J. Leeper [aut] (<https://orcid.org/0000-0003-4097-6326>), Shiro Kuriwaki [aut] (<https://orcid.org/0000-0002-5687-2647>), Philip Durbin [aut] (<https://orcid.org/0000-0002-9528-9470>), Sebastian Karcher [aut] (<https://orcid.org/0000-0001-8249-7388>), Jan Kanis [ctb], Edward Jee [ctb]
Maintainer: Will Beasley <wibeasley@hotmail.com>

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Package prepplot updated to version 1.0 with previous version 0.7 dated 2018-04-05

Title: Prepare Figure Region for Base Graphics
Description: A figure region is prepared, creating a plot region with suitable background color, grid lines or shadings, and providing axes and labeling if not suppressed. Subsequently, information carrying graphics elements can be added (points, lines, barplot with add=TRUE and so forth).
Author: Ulrike Groemping
Maintainer: Ulrike Groemping <groemping@beuth-hochschule.de>

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Tue, 13 Apr 2021

Package yaps updated to version 1.2.5 with previous version 1.2.4 dated 2021-02-10

Title: Track Estimation using YAPS (Yet Another Positioning Solver)
Description: Estimate tracks of animals tagged with acoustic transmitters. 'yaps' was introduced in 2017 as a transparent open-source tool to estimate positions of fish (and other aquatic animals) tagged with acoustic transmitters. Based on registrations of acoustic transmitters on hydrophones positioned in a fixed array, 'yaps' enables users to synchronize the collected data (i.e. correcting for drift in the internal clocks of the hydrophones/receivers) and subsequently to estimate tracks of the tagged animals. The paper introducing 'yaps' is available in open access at Baktoft, Gjelland, Økland & Thygesen (2017) <doi:10.1038/s41598-017-14278-z>. Also check out our cookbook with a completely worked through example at Baktoft, Gjelland, Økland, Rehage, Rodemann, Corujo, Viadero & Thygesen (2019) <DOI:10.1101/2019.12.16.877688>. Additional tutorials will eventually make their way onto the project website at <https://baktoft.github.io/yaps/>.
Author: Henrik Baktoft [cre, aut] (<https://orcid.org/0000-0002-3644-4960>), Karl Gjelland [aut] (<https://orcid.org/0000-0003-4036-4207>), Uffe H. Thygesen [aut] (<https://orcid.org/0000-0002-4311-6324>), Finn Økland [aut] (<https://orcid.org/0000-0002-1938-5460>)
Maintainer: Henrik Baktoft <hba@aqua.dtu.dk>

Diff between yaps versions 1.2.4 dated 2021-02-10 and 1.2.5 dated 2021-04-13

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Package unifed updated to version 1.1.5 with previous version 1.1.3 dated 2020-06-19

Title: The Unifed Distribution
Description: Probability functions, family for glm() and Stan code for working with the unifed distribution (Quijano Xacur, 2019; <doi:10.1186/s40488-019-0102-6>).
Author: Oscar Alberto Quijano Xacur [aut,cre]
Maintainer: Oscar Alberto Quijano Xacur <oscar.quijano@use.startmail.com>

Diff between unifed versions 1.1.3 dated 2020-06-19 and 1.1.5 dated 2021-04-13

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Package tramME updated to version 0.1.1 with previous version 0.1.0 dated 2021-03-30

Title: Transformation Models with Mixed Effects
Description: Likelihood-based estimation of mixed-effects transformation models using the Template Model Builder (TMB, Kristensen et al., 2016, <doi:10.18637/jss.v070.i05>). The technical details of transformation models are given in Hothorn et al. (2018, <doi:10.1111/sjos.12291>). Likelihood contributions of exact, randomly censored (left, right, interval) and truncated observations are supported. The random effects are assumed to be normally distributed on the scale of the transformation function, the marginal likelihood is evaluated using the Laplace approximation, and the gradients are calculated with automatic differentiation (AD).
Author: Balint Tamasi [aut, cre] (<https://orcid.org/0000-0002-2629-7362>), Torsten Hothorn [ctb] (<https://orcid.org/0000-0001-8301-0471>)
Maintainer: Balint Tamasi <balint.tamasi@uzh.ch>

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Package stevetemplates updated to version 0.5.0 with previous version 0.4.0 dated 2021-03-05

Title: Steve's 'R Markdown' Templates
Description: These are my collection of 'R Markdown' templates, mostly for compilation to PDF. These are useful for all things academic and professional, if you are using 'R Markdown' for things like your CV or your articles and manuscripts.
Author: Steven V. Miller
Maintainer: Steven V. Miller <steven.v.miller@gmail.com>

Diff between stevetemplates versions 0.4.0 dated 2021-03-05 and 0.5.0 dated 2021-04-13

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New package MVTests with initial version 2.0.3
Package: MVTests
Date: 2021-04-06
Title: Multivariate Hypothesis Tests
Version: 2.0.3
Author: Hasan BULUT [aut,cre]
Maintainer: Hasan BULUT <hasan.bulut@omu.edu.tr>
Description: Multivariate hypothesis tests and the confidence intervals. It can be used to test the hypothesizes about mean vector or vectors (one-sample, two independent samples, paired samples), covariance matrix (one or more matrices), and the correlation matrix. For this package, we have benefited from the studies Rencher (2003), Nel and Merwe (1986) <DOI: 10.1080/03610928608829342>, Tatlidil (1996), James (1994) <DOI: 10.2307/2333003>, Tsagris (2014), Villasenor Alva and Estrada (2009) <DOI: 10.1080/03610920802474465>.
License: GPL-2
Depends: stats
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2021-04-06 21:39:23 UTC; user
Repository: CRAN
Date/Publication: 2021-04-13 21:20:09 UTC

More information about MVTests at CRAN
Permanent link

Package mboost updated to version 2.9-5 with previous version 2.9-4 dated 2020-12-10

Title: Model-Based Boosting
Description: Functional gradient descent algorithm (boosting) for optimizing general risk functions utilizing component-wise (penalised) least squares estimates or regression trees as base-learners for fitting generalized linear, additive and interaction models to potentially high-dimensional data. Models and algorithms are described in \doi{10.1214/07-STS242}, a hands-on tutorial is available from \doi{10.1007/s00180-012-0382-5}. The package allows user-specified loss functions and base-learners.
Author: Torsten Hothorn [cre, aut] (<https://orcid.org/0000-0001-8301-0471>), Peter Buehlmann [aut] (<https://orcid.org/0000-0002-1782-6015>), Thomas Kneib [aut] (<https://orcid.org/0000-0003-3390-0972>), Matthias Schmid [aut] (<https://orcid.org/0000-0002-0788-0317>), Benjamin Hofner [aut] (<https://orcid.org/0000-0003-2810-3186>), Fabian Otto-Sobotka [ctb] (<https://orcid.org/0000-0002-9874-1311>), Fabian Scheipl [ctb] (<https://orcid.org/0000-0001-8172-3603>), Andreas Mayr [ctb] (<https://orcid.org/0000-0001-7106-9732>)
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

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Package Matching updated to version 4.9-9 with previous version 4.9-7 dated 2020-02-06

Title: Multivariate and Propensity Score Matching with Balance Optimization
Description: Provides functions for multivariate and propensity score matching and for finding optimal balance based on a genetic search algorithm. A variety of univariate and multivariate metrics to determine if balance has been obtained are also provided. For details, see the paper by Jasjeet Sekhon (2007, <doi:10.18637/jss.v042.i07>).
Author: Jasjeet Singh Sekhon <jas.sekhon@yale.edu>
Maintainer: Jasjeet Singh Sekhon <jas.sekhon@yale.edu>

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Package lokern updated to version 1.1-9 with previous version 1.1-8.1 dated 2020-07-15

Title: Kernel Regression Smoothing with Local or Global Plug-in Bandwidth
Description: Kernel regression smoothing with adaptive local or global plug-in bandwidth selection.
Author: Eva Herrmann <eherrmann@mathematik.tu-darmstadt.de> (F77 & S original); Packaged for R and enhanced by Martin Maechler
Maintainer: Martin Maechler <maechler@stat.math.ethz.ch>

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Package gtsummary updated to version 1.4.0 with previous version 1.3.7 dated 2021-02-26

Title: Presentation-Ready Data Summary and Analytic Result Tables
Description: Creates presentation-ready tables summarizing data sets, regression models, and more. The code to create the tables is concise and highly customizable. Data frames can be summarized with any function, e.g. mean(), median(), even user-written functions. Regression models are summarized and include the reference rows for categorical variables. Common regression models, such as logistic regression and Cox proportional hazards regression, are automatically identified and the tables are pre-filled with appropriate column headers.
Author: Daniel D. Sjoberg [aut, cre] (<https://orcid.org/0000-0003-0862-2018>), Michael Curry [aut] (<https://orcid.org/0000-0002-0261-4044>), Margie Hannum [aut] (<https://orcid.org/0000-0002-2953-0449>), Joseph Larmarange [aut] (<https://orcid.org/0000-0001-7097-700X>), Karissa Whiting [aut] (<https://orcid.org/0000-0002-4683-1868>), Emily C. Zabor [aut] (<https://orcid.org/0000-0002-1402-4498>), Esther Drill [ctb] (<https://orcid.org/0000-0002-3315-4538>), Jessica Flynn [ctb] (<https://orcid.org/0000-0001-8310-6684>), Jessica Lavery [ctb] (<https://orcid.org/0000-0002-2746-5647>), Stephanie Lobaugh [ctb], Gustavo Zapata Wainberg [ctb] (<https://orcid.org/0000-0002-2524-3637>)
Maintainer: Daniel D. Sjoberg <danield.sjoberg@gmail.com>

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Package bigutilsr updated to version 0.3.4 with previous version 0.3.3 dated 2020-10-15

Title: Utility Functions for Large-scale Data
Description: Utility functions for large-scale data. For now, package 'bigutilsr' mainly includes functions for outlier detection and unbiased PCA projection.
Author: Florian Privé [aut, cre]
Maintainer: Florian Privé <florian.prive.21@gmail.com>

Diff between bigutilsr versions 0.3.3 dated 2020-10-15 and 0.3.4 dated 2021-04-13

 DESCRIPTION               |    9 ++++-----
 MD5                       |    6 +++---
 README.md                 |    2 +-
 tests/testthat/test-OGK.R |    1 +
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Permanent link

Package bettermc updated to version 1.1.1 with previous version 1.0.1 dated 2021-03-25

Title: Enhanced Fork-Based Parallelization
Description: Drop-in replacement for 'parallel::mclapply()' adding e.g. tracebacks, crash dumps, retries, condition handling, improved seeding, progress bars and faster inter process communication. Some of the internal functions are also exported for other use: 'etry()' (extended try), 'copy2shm()/allocate_from_shm()' (copy to and allocate from POSIX shared memory), 'char_map/map2char()' (split a character vector into its unique elements and a mapping on these) and various semaphore related functions.
Author: Andreas Kersting [aut, cre, cph], GfK SE [cph], R Core team [ctb] ('etry()' and its print method borrow a lot from base R)
Maintainer: Andreas Kersting <andreas.kersting@gfk.com>

Diff between bettermc versions 1.0.1 dated 2021-03-25 and 1.1.1 dated 2021-04-13

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Package NSO1212 updated to version 1.2.0 with previous version 1.1.0 dated 2020-05-13

Title: National Statistical Office of Mongolia's Open Data API Handler
Description: National Statistical Office of Mongolia (NSO) is the national statistical service and an organization of Mongolian government. NSO provides open access to official data via its API <http://opendata.1212.mn/en/doc>. The package NSO1212 has functions for accessing the API service. The functions are compatible with the API v2.0 and get data sets and its detailed informations from the API.
Author: Makhgal Ganbold [aut, cre]
Maintainer: Makhgal Ganbold <makhgal@seas.num.edu.mn>

Diff between NSO1212 versions 1.1.0 dated 2020-05-13 and 1.2.0 dated 2021-04-13

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Permanent link

Package bssm updated to version 1.1.4 with previous version 1.1.3-2 dated 2021-02-26

Title: Bayesian Inference of Non-Linear and Non-Gaussian State Space Models
Description: Efficient methods for Bayesian inference of state space models via particle Markov chain Monte Carlo (MCMC) and MCMC based on parallel importance sampling type weighted estimators (Vihola, Helske, and Franks, 2020, <doi:10.1111/sjos.12492>). Gaussian, Poisson, binomial, negative binomial, and Gamma observation densities and basic stochastic volatility models with linear-Gaussian state dynamics, as well as general non-linear Gaussian models and discretised diffusion models are supported.
Author: Jouni Helske [aut, cre] (<https://orcid.org/0000-0001-7130-793X>), Matti Vihola [aut] (<https://orcid.org/0000-0002-8041-7222>)
Maintainer: Jouni Helske <jouni.helske@iki.fi>

Diff between bssm versions 1.1.3-2 dated 2021-02-26 and 1.1.4 dated 2021-04-13

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More information about bssm at CRAN
Permanent link

Package statsExpressions updated to version 1.0.1 with previous version 1.0.0 dated 2021-03-11

Title: Tidy Dataframes and Expressions with Statistical Details
Description: Utilities for producing dataframes with rich details for the most common types of statistical approaches and tests: parametric, nonparametric, robust, and Bayesian t-test, one-way ANOVA, correlation analyses, contingency table analyses, and meta-analyses. The functions are pipe-friendly and provide a consistent syntax to work with tidy data. These dataframes additionally contain expressions with statistical details, and can be used in graphing packages. This package also forms the statistical processing backend for 'ggstatsplot'.
Author: Indrajeet Patil [cre, aut, cph] (<https://orcid.org/0000-0003-1995-6531>, @patilindrajeets)
Maintainer: Indrajeet Patil <patilindrajeet.science@gmail.com>

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More information about statsExpressions at CRAN
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Package PROsetta updated to version 0.3.0 with previous version 0.2.1 dated 2020-11-25

Title: Linking Patient-Reported Outcomes Measures
Description: Perform scale linking to establish relationships between instruments that measure similar constructs according to the PROsetta Stone methodology, as in Choi, Schalet, Cook, & Cella (2014) <doi:10.1037/a0035768>.
Author: Seung W. Choi [aut, cre] (<https://orcid.org/0000-0003-4777-5420>), Sangdon Lim [aut] (<https://orcid.org/0000-0002-2988-014X>), Benjamin D. Schalet [ctb], Aaron J. Kaat [ctb], David Cella [ctb]
Maintainer: Seung W. Choi <schoi@austin.utexas.edu>

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Permanent link

New package mlr3spatiotempcv with initial version 0.3.0
Package: mlr3spatiotempcv
Title: Spatiotemporal Resampling Methods for 'mlr3'
Version: 0.3.0
Date: 2021-04-08
Authors@R: c(person(given = "Patrick", family = "Schratz", role = c("aut", "cre"), email = "patrick.schratz@gmail.com", comment = c(ORCID = "0000-0003-0748-6624")), person(given = "Marc", family = "Becker", role = "aut", email = "marcbecker@posteo.de", comment = c(ORCID = "0000-0002-8115-0400")), person(given = "Jannes", family = "Muenchow", role = "ctb", email = "jannes.muenchow@uni-jena.de", comment = c(ORCID = "0000-0001-7834-4717")), person(given = "Michel", family = "Lang", role = "ctb", email = "michellang@gmail.com", comment = c(ORCID = "0000-0001-9754-0393")))
Description: Extends the mlr3 ML framework with spatio-temporal resampling methods to account for the presence of spatiotemporal autocorrelation (STAC) in predictor variables. STAC may cause highly biased performance estimates in cross-validation if ignored.
License: LGPL-3
URL: https://mlr3spatiotempcv.mlr-org.com/, https://github.com/mlr-org/mlr3spatiotempcv, https://mlr3book.mlr-org.com
BugReports: https://github.com/mlr-org/mlr3spatiotempcv/issues
Depends: R (>= 3.5.0)
Imports: checkmate, data.table, ggplot2, mlr3 (>= 0.7.0), mlr3misc (>= 0.7.0), paradox, R6, utils
Suggests: bbotk, blockCV (>= 2.1.1), CAST, ggsci, ggtext, knitr, lgr, mlr3filters, mlr3pipelines, mlr3tuning, patchwork, plotly, raster, rmarkdown, rpart, sf, skmeans, testthat (>= 3.0.0), vdiffr, withr
VignetteBuilder: knitr
Config/testthat/parallel: true
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2021-04-09 13:11:52 UTC; pjs
Author: Patrick Schratz [aut, cre] (<https://orcid.org/0000-0003-0748-6624>), Marc Becker [aut] (<https://orcid.org/0000-0002-8115-0400>), Jannes Muenchow [ctb] (<https://orcid.org/0000-0001-7834-4717>), Michel Lang [ctb] (<https://orcid.org/0000-0001-9754-0393>)
Maintainer: Patrick Schratz <patrick.schratz@gmail.com>
Repository: CRAN
Date/Publication: 2021-04-13 15:10:06 UTC

More information about mlr3spatiotempcv at CRAN
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New package mlquantify with initial version 0.1.5
Package: mlquantify
Title: Algorithms for Class Distribution Estimation
Version: 0.1.5
Authors@R: c( person("Andre", "Maletzke", email = "andregustavom@gmail.com", role = c("aut","cre")), person("Everton", "Cherman", email = "evertoncherman@gmail.com", role = "ctb"), person("Denis", "dos Reis", email = "denismr@gmail.com", role = "ctb"), person("Gustavo", "Batista", email = "g.batista@unsw.edu.au", role = "ths"))
Maintainer: Andre Maletzke <andregustavom@gmail.com>
Description: Quantification is a prominent machine learning task that has received an increasing amount of attention in the last years. The objective is to predict the class distribution of a data sample. This package is a collection of machine learning algorithms for class distribution estimation. This package include algorithms from different paradigms of quantification. These methods are described in the paper: A. Maletzke, W. Hassan, D. dos Reis, and G. Batista. The importance of the test set size in quantification assessment. In Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, IJCAI20, pages 2640–2646, 2020. <doi:10.24963/ijcai.2020/366>.
License: GPL (>= 2.0)
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Author: Andre Maletzke [aut, cre], Everton Cherman [ctb], Denis dos Reis [ctb], Gustavo Batista [ths]
BugReports: https://github.com/andregustavom/mlquantify/issues
URL: https://github.com/andregustavom/mlquantify
Imports: caret, randomForest, stats
Suggests: CORElearn
Packaged: 2021-04-10 22:40:11 UTC; andregustavom
Repository: CRAN
Date/Publication: 2021-04-13 15:20:02 UTC

More information about mlquantify at CRAN
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Package MCMCvis updated to version 0.15.1 with previous version 0.15.0 dated 2021-03-17

Title: Tools to Visualize, Manipulate, and Summarize MCMC Output
Description: Performs key functions for MCMC analysis using minimal code - visualizes, manipulates, and summarizes MCMC output. Functions support simple and straightforward subsetting of model parameters within the calls, and produce presentable and 'publication-ready' output. MCMC output may be derived from Bayesian model output fit with 'Stan', 'NIMBLE', 'JAGS', and other software.
Author: Casey Youngflesh [aut, cre] (<https://orcid.org/0000-0001-6343-3311>), Christian Che-Castaldo [aut] (<https://orcid.org/0000-0002-7670-2178>), Tyler Hardy [ctb]
Maintainer: Casey Youngflesh <caseyyoungflesh@gmail.com>

Diff between MCMCvis versions 0.15.0 dated 2021-03-17 and 0.15.1 dated 2021-04-13

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Package EGRETci updated to version 2.0.4 with previous version 2.0.3 dated 2019-03-15

Title: Exploration and Graphics for RivEr Trends Confidence Intervals
Description: Collection of functions to evaluate uncertainty of results from water quality analysis using the Weighted Regressions on Time Discharge and Season (WRTDS) method. This package is an add-on to the EGRET package that performs the WRTDS analysis. The WRTDS modeling method was initially introduced and discussed in Hirsch et al. (2010) <doi:10.1111/j.1752-1688.2010.00482.x>, and expanded in Hirsch and De Cicco (2015) <doi:10.3133/tm4A10>. The paper describing the uncertainty and confidence interval calculations is Hirsch et al. (2015) <doi:10.1016/j.envsoft.2015.07.017>.
Author: Laura DeCicco [aut, cre] (<https://orcid.org/0000-0002-3915-9487>), Robert Hirsch [aut] (<https://orcid.org/0000-0002-4534-075X>), Jennifer Murphy [ctb]
Maintainer: Laura DeCicco <ldecicco@usgs.gov>

Diff between EGRETci versions 2.0.3 dated 2019-03-15 and 2.0.4 dated 2021-04-13

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More information about EGRETci at CRAN
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Package viridisLite updated to version 0.4.0 with previous version 0.3.0 dated 2018-02-01

Title: Colorblind-Friendly Color Maps (Lite Version)
Description: Color maps designed to improve graph readability for readers with common forms of color blindness and/or color vision deficiency. The color maps are also perceptually-uniform, both in regular form and also when converted to black-and-white for printing. This is the 'lite' version of the 'viridis' package that also contains 'ggplot2' bindings for discrete and continuous color and fill scales and can be found at <https://cran.r-project.org/package=viridis>.
Author: Simon Garnier [aut, cre], Noam Ross [ctb, cph], Bob Rudis [ctb, cph], Marco Sciaini [ctb, cph], Antônio Pedro Camargo [ctb, cph], Cédric Scherer [ctb, cph]
Maintainer: Simon Garnier <garnier@njit.edu>

Diff between viridisLite versions 0.3.0 dated 2018-02-01 and 0.4.0 dated 2021-04-13

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More information about viridisLite at CRAN
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New package SIBER with initial version 2.1.6
Package: SIBER
Title: Stable Isotope Bayesian Ellipses in R
Version: 2.1.6
Depends: R (>= 4.0.0), spatstat (>= 2.0-0),
SystemRequirements: JAGS (>= 4.1)
Imports: hdrcde, graphics, grDevices, mnormt, rjags, spatstat.geom, spatstat.utils, stats, tidyr, dplyr, ggplot2, magrittr, purrr
Suggests: coda, ellipse, knitr, rmarkdown, tidyverse, viridis
Author: Andrew Jackson and Andrew Parnell
Maintainer: Andrew Jackson <jacksoan@tcd.ie>
Description: Fits bi-variate ellipses to stable isotope data using Bayesian inference with the aim being to describe and compare their isotopic niche.
License: GPL (>= 2)
Language: en-GB
LazyLoad: yes
LazyData: true
Encoding: UTF-8
Packaged: 2021-04-13 08:24:33 UTC; andrew
NeedsCompilation: yes
VignetteBuilder: knitr
Repository: CRAN
Date/Publication: 2021-04-13 14:50:08 UTC

More information about SIBER at CRAN
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Package RcppArmadillo updated to version 0.10.4.0.0 with previous version 0.10.2.2.0 dated 2021-03-09

Title: 'Rcpp' Integration for the 'Armadillo' Templated Linear Algebra Library
Description: 'Armadillo' is a templated C++ linear algebra library (by Conrad Sanderson) that aims towards a good balance between speed and ease of use. Integer, floating point and complex numbers are supported, as well as a subset of trigonometric and statistics functions. Various matrix decompositions are provided through optional integration with LAPACK and ATLAS libraries. The 'RcppArmadillo' package includes the header files from the templated 'Armadillo' library. Thus users do not need to install 'Armadillo' itself in order to use 'RcppArmadillo'. From release 7.800.0 on, 'Armadillo' is licensed under Apache License 2; previous releases were under licensed as MPL 2.0 from version 3.800.0 onwards and LGPL-3 prior to that; 'RcppArmadillo' (the 'Rcpp' bindings/bridge to Armadillo) is licensed under the GNU GPL version 2 or later, as is the rest of 'Rcpp'. Armadillo requires a C++11 compiler.
Author: Dirk Eddelbuettel, Romain Francois, Doug Bates and Binxiang Ni
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between RcppArmadillo versions 0.10.2.2.0 dated 2021-03-09 and 0.10.4.0.0 dated 2021-04-13

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 RcppArmadillo-0.10.4.0.0/RcppArmadillo/inst/include/armadillo_bits/fn_rank.hpp                             |   11 
 RcppArmadillo-0.10.4.0.0/RcppArmadillo/inst/include/armadillo_bits/fn_reshape.hpp                          |    2 
 RcppArmadillo-0.10.4.0.0/RcppArmadillo/inst/include/armadillo_bits/fn_roots.hpp                            |    6 
 RcppArmadillo-0.10.4.0.0/RcppArmadillo/inst/include/armadillo_bits/fn_schur.hpp                            |    4 
 RcppArmadillo-0.10.4.0.0/RcppArmadillo/inst/include/armadillo_bits/fn_solve.hpp                            |   30 
 RcppArmadillo-0.10.4.0.0/RcppArmadillo/inst/include/armadillo_bits/fn_spsolve.hpp                          |   22 
 RcppArmadillo-0.10.4.0.0/RcppArmadillo/inst/include/armadillo_bits/fn_sqrtmat.hpp                          |    6 
 RcppArmadillo-0.10.4.0.0/RcppArmadillo/inst/include/armadillo_bits/fn_svd.hpp                              |   34 
 RcppArmadillo-0.10.4.0.0/RcppArmadillo/inst/include/armadillo_bits/fn_svds.hpp                             |    8 
 RcppArmadillo-0.10.4.0.0/RcppArmadillo/inst/include/armadillo_bits/fn_sylvester.hpp                        |only
 RcppArmadillo-0.10.4.0.0/RcppArmadillo/inst/include/armadillo_bits/fn_trimat_ind.hpp                       |    4 
 RcppArmadillo-0.10.4.0.0/RcppArmadillo/inst/include/armadillo_bits/fn_wishrnd.hpp                          |   32 
 RcppArmadillo-0.10.4.0.0/RcppArmadillo/inst/include/armadillo_bits/glue_conv_meat.hpp                      |    2 
 RcppArmadillo-0.10.4.0.0/RcppArmadillo/inst/include/armadillo_bits/glue_histc_meat.hpp                     |    2 
 RcppArmadillo-0.10.4.0.0/RcppArmadillo/inst/include/armadillo_bits/glue_mvnrnd_meat.hpp                    |    8 
 RcppArmadillo-0.10.4.0.0/RcppArmadillo/inst/include/armadillo_bits/glue_polyfit_meat.hpp                   |    2 
 RcppArmadillo-0.10.4.0.0/RcppArmadillo/inst/include/armadillo_bits/glue_solve_meat.hpp                     |   41 
 RcppArmadillo-0.10.4.0.0/RcppArmadillo/inst/include/armadillo_bits/glue_times_meat.hpp                     |   16 
 RcppArmadillo-0.10.4.0.0/RcppArmadillo/inst/include/armadillo_bits/glue_toeplitz_meat.hpp                  |    2 
 RcppArmadillo-0.10.4.0.0/RcppArmadillo/inst/include/armadillo_bits/gmm_diag_meat.hpp                       |   28 
 RcppArmadillo-0.10.4.0.0/RcppArmadillo/inst/include/armadillo_bits/gmm_full_meat.hpp                       |   28 
 RcppArmadillo-0.10.4.0.0/RcppArmadillo/inst/include/armadillo_bits/newarp_SparseGenRealShiftSolve_meat.hpp |    5 
 RcppArmadillo-0.10.4.0.0/RcppArmadillo/inst/include/armadillo_bits/op_chol_meat.hpp                        |    8 
 RcppArmadillo-0.10.4.0.0/RcppArmadillo/inst/include/armadillo_bits/op_cond_meat.hpp                        |    9 
 RcppArmadillo-0.10.4.0.0/RcppArmadillo/inst/include/armadillo_bits/op_det_bones.hpp                        |only
 RcppArmadillo-0.10.4.0.0/RcppArmadillo/inst/include/armadillo_bits/op_det_meat.hpp                         |only
 RcppArmadillo-0.10.4.0.0/RcppArmadillo/inst/include/armadillo_bits/op_diagmat_meat.hpp                     |    2 
 RcppArmadillo-0.10.4.0.0/RcppArmadillo/inst/include/armadillo_bits/op_diagvec_meat.hpp                     |    2 
 RcppArmadillo-0.10.4.0.0/RcppArmadillo/inst/include/armadillo_bits/op_expmat_meat.hpp                      |    4 
 RcppArmadillo-0.10.4.0.0/RcppArmadillo/inst/include/armadillo_bits/op_inv_bones.hpp                        |   32 
 RcppArmadillo-0.10.4.0.0/RcppArmadillo/inst/include/armadillo_bits/op_inv_meat.hpp                         |  283 ++-
 RcppArmadillo-0.10.4.0.0/RcppArmadillo/inst/include/armadillo_bits/op_log_det_bones.hpp                    |only
 RcppArmadillo-0.10.4.0.0/RcppArmadillo/inst/include/armadillo_bits/op_log_det_meat.hpp                     |only
 RcppArmadillo-0.10.4.0.0/RcppArmadillo/inst/include/armadillo_bits/op_logmat_meat.hpp                      |   10 
 RcppArmadillo-0.10.4.0.0/RcppArmadillo/inst/include/armadillo_bits/op_norm_bones.hpp                       |   18 
 RcppArmadillo-0.10.4.0.0/RcppArmadillo/inst/include/armadillo_bits/op_norm_meat.hpp                        |  134 -
 RcppArmadillo-0.10.4.0.0/RcppArmadillo/inst/include/armadillo_bits/op_orth_null_meat.hpp                   |   28 
 RcppArmadillo-0.10.4.0.0/RcppArmadillo/inst/include/armadillo_bits/op_pinv_bones.hpp                       |    4 
 RcppArmadillo-0.10.4.0.0/RcppArmadillo/inst/include/armadillo_bits/op_pinv_meat.hpp                        |  165 -
 RcppArmadillo-0.10.4.0.0/RcppArmadillo/inst/include/armadillo_bits/op_powmat_bones.hpp                     |    8 
 RcppArmadillo-0.10.4.0.0/RcppArmadillo/inst/include/armadillo_bits/op_powmat_meat.hpp                      |  102 -
 RcppArmadillo-0.10.4.0.0/RcppArmadillo/inst/include/armadillo_bits/op_roots_meat.hpp                       |    8 
 RcppArmadillo-0.10.4.0.0/RcppArmadillo/inst/include/armadillo_bits/op_shift_meat.hpp                       |    4 
 RcppArmadillo-0.10.4.0.0/RcppArmadillo/inst/include/armadillo_bits/op_sqrtmat_meat.hpp                     |   12 
 RcppArmadillo-0.10.4.0.0/RcppArmadillo/inst/include/armadillo_bits/op_toeplitz_meat.hpp                    |    4 
 RcppArmadillo-0.10.4.0.0/RcppArmadillo/inst/include/armadillo_bits/op_trimat_meat.hpp                      |    4 
 RcppArmadillo-0.10.4.0.0/RcppArmadillo/inst/include/armadillo_bits/op_wishrnd_meat.hpp                     |    6 
 RcppArmadillo-0.10.4.0.0/RcppArmadillo/inst/include/armadillo_bits/podarray_bones.hpp                      |    2 
 RcppArmadillo-0.10.4.0.0/RcppArmadillo/inst/include/armadillo_bits/podarray_meat.hpp                       |   10 
 RcppArmadillo-0.10.4.0.0/RcppArmadillo/inst/include/armadillo_bits/running_stat_meat.hpp                   |    4 
 RcppArmadillo-0.10.4.0.0/RcppArmadillo/inst/include/armadillo_bits/running_stat_vec_meat.hpp               |    8 
 RcppArmadillo-0.10.4.0.0/RcppArmadillo/inst/include/armadillo_bits/sp_auxlib_meat.hpp                      |   66 
 RcppArmadillo-0.10.4.0.0/RcppArmadillo/inst/include/armadillo_bits/spdiagview_meat.hpp                     |    8 
 RcppArmadillo-0.10.4.0.0/RcppArmadillo/inst/include/armadillo_bits/spop_diagmat_meat.hpp                   |    2 
 RcppArmadillo-0.10.4.0.0/RcppArmadillo/inst/include/armadillo_bits/spop_misc_meat.hpp                      |    2 
 RcppArmadillo-0.10.4.0.0/RcppArmadillo/inst/include/armadillo_bits/spop_norm_bones.hpp                     |only
 RcppArmadillo-0.10.4.0.0/RcppArmadillo/inst/include/armadillo_bits/spop_norm_meat.hpp                      |only
 RcppArmadillo-0.10.4.0.0/RcppArmadillo/inst/include/armadillo_bits/spop_trimat_meat.hpp                    |    4 
 RcppArmadillo-0.10.4.0.0/RcppArmadillo/inst/include/armadillo_bits/subview_cube_each_meat.hpp              |   22 
 RcppArmadillo-0.10.4.0.0/RcppArmadillo/inst/include/armadillo_bits/subview_cube_meat.hpp                   |    8 
 RcppArmadillo-0.10.4.0.0/RcppArmadillo/inst/include/armadillo_bits/subview_cube_slices_meat.hpp            |   16 
 RcppArmadillo-0.10.4.0.0/RcppArmadillo/inst/include/armadillo_bits/subview_each_meat.hpp                   |   44 
 RcppArmadillo-0.10.4.0.0/RcppArmadillo/inst/include/armadillo_bits/subview_elem1_meat.hpp                  |   52 
 RcppArmadillo-0.10.4.0.0/RcppArmadillo/inst/include/armadillo_bits/subview_elem2_meat.hpp                  |   42 
 RcppArmadillo-0.10.4.0.0/RcppArmadillo/inst/include/armadillo_bits/subview_field_meat.hpp                  |    8 
 RcppArmadillo-0.10.4.0.0/RcppArmadillo/inst/include/armadillo_bits/subview_meat.hpp                        |  108 -
 RcppArmadillo-0.10.4.0.0/RcppArmadillo/inst/include/armadillo_bits/sympd_helper.hpp                        |   19 
 135 files changed, 3180 insertions(+), 2585 deletions(-)

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Package RadData updated to version 1.0.1 with previous version 1.0.0 dated 2019-04-05

Title: Nuclear Decay Data for Dosimetric Calculations - ICRP 107
Description: Nuclear Decay Data for Dosimetric Calculations from the International Commission on Radiological Protection from ICRP Publication 107. Ann. ICRP 38 (3). Eckerman, Keith and Endo, Akira 2008 <doi:10.1016/j.icrp.2008.10.004> <https://www.icrp.org/publication.asp?id=ICRP%20Publication%20107>. This is a database of the physical data needed in calculations of radionuclide-specific protection and operational quantities. The data is prescribed by the ICRP, the international authority on radiation dose standards, for estimating dose from the intake of or exposure to radionuclides in the workplace and the environment. The database contains information on the half-lives, decay chains, and yields and energies of radiations emitted in nuclear transformations of 1252 radionuclides of 97 elements.
Author: Mark Hogue [aut, cre], KF Eckerman [dtc, cph], A Endo [dtc, cph]
Maintainer: Mark Hogue <mark.hogue.chp@gmail.com>

Diff between RadData versions 1.0.0 dated 2019-04-05 and 1.0.1 dated 2021-04-13

 RadData-1.0.0/RadData/data/datalist        |only
 RadData-1.0.1/RadData/DESCRIPTION          |   13 +++++++------
 RadData-1.0.1/RadData/MD5                  |   19 ++++++++++---------
 RadData-1.0.1/RadData/NEWS.md              |only
 RadData-1.0.1/RadData/R/data.R             |    2 +-
 RadData-1.0.1/RadData/README.md            |    4 ++--
 RadData-1.0.1/RadData/data/ICRP_07.NDX.rda |binary
 RadData-1.0.1/RadData/man/ICRP_07.BET.Rd   |    6 ++++--
 RadData-1.0.1/RadData/man/ICRP_07.NDX.Rd   |    8 +++++---
 RadData-1.0.1/RadData/man/ICRP_07.RAD.Rd   |    6 ++++--
 RadData-1.0.1/RadData/man/figures          |only
 RadData-1.0.1/RadData/man/rad_codes.Rd     |    6 ++++--
 12 files changed, 37 insertions(+), 27 deletions(-)

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New package promotionImpact with initial version 0.1.5
Package: promotionImpact
Title: Analysis & Measurement of Promotion Effectiveness
Version: 0.1.5
Date: 2021-04-13
Authors@R: c( person("Nahyun", "Kim", email = "nhkim1302@ncsoft.com", role = c("cre", "aut")), person("Hyemin", "Um", email = "windy0126@ncsoft.com", role = "aut"), person("Eunjo", "Lee", email = "gimmesilver@ncsoft.com", role = "aut"), person(family = "NCSOFT Corporation", role = "cph") )
Description: Analysis and measurement of promotion effectiveness on a given target variable (e.g. daily sales). After converting promotion schedule into dummy or smoothed predictor variables, the package estimates the effects of these variables controlled for trend/periodicity/structural change using prophet by Taylor and Letham (2017) <doi:10.7287/peerj.preprints.3190v2> and some prespecified variables (e.g. start of a month).
Depends: R (>= 3.5.0), Rcpp (>= 0.12.17), dplyr (>= 0.7.6), ggplot2 (>= 3.0.0), scales (>= 1.0.0)
Imports: KernSmooth (>= 2.23.15), ggpubr (>= 0.1.8), reshape2 (>= 1.4.3), stringr (>= 1.3.1), strucchange (>= 1.5.1), lmtest (>= 0.9), crayon (>= 1.3.4), prophet (>= 0.6.1)
License: BSD_3_clause + file LICENSE
URL: https://github.com/ncsoft/promotionImpact
LazyData: true
Encoding: UTF-8
Author: Nahyun Kim [cre, aut], Hyemin Um [aut], Eunjo Lee [aut], NCSOFT Corporation [cph]
Maintainer: Nahyun Kim <nhkim1302@ncsoft.com>
NeedsCompilation: no
Packaged: 2021-04-13 08:07:44 UTC; nhkim1302
Repository: CRAN
Date/Publication: 2021-04-13 15:00:05 UTC

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New package mlr3db with initial version 0.4.1
Package: mlr3db
Title: Data Base Backend for 'mlr3'
Version: 0.4.1
Authors@R: person(given = "Michel", family = "Lang", role = c("cre", "aut"), email = "michellang@gmail.com", comment = c(ORCID = "0000-0001-9754-0393"))
Description: Extends the 'mlr3' package with a backend to transparently work with databases. Includes two extra backends: One relies on relies on the abstraction of package 'dbplyr' to interact with one of the many supported database management systems (DBMS). The other one is specialized for package 'duckdb'.
License: LGPL-3
URL: https:///mlr3db.mlr-org.com, https://github.com/mlr-org/mlr3db
BugReports: https://github.com/mlr-org/mlr3db/issues
Depends: mlr3 (>= 0.9.0), R (>= 3.1.0)
Imports: R6, backports, checkmate, data.table, digest, mlr3misc,
Suggests: DBI, RSQLite, dbplyr, dplyr, duckdb, future, future.apply, future.callr, lgr, testthat (>= 3.0.0), tibble
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2021-04-12 08:26:39 UTC; lang
Author: Michel Lang [cre, aut] (<https://orcid.org/0000-0001-9754-0393>)
Maintainer: Michel Lang <michellang@gmail.com>
Repository: CRAN
Date/Publication: 2021-04-13 14:50:02 UTC

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New package hlaR with initial version 0.1.0
Package: hlaR
Title: Tools for HLA Data
Version: 0.1.0
Description: A streamlined tool for eplet analysis of donor and recipient HLA (human leukocyte antigen) mismatch. Messy, low-resolution HLA typing data is cleaned, and imputed to high-resolution using the NMDP (National Marrow Donor Program) haplotype reference database <https://haplostats.org/haplostats>. High resolution data is analyzed for overall or single antigen eplet mismatch using a reference table (currently supporting 'HLAMatchMaker' <http://www.epitopes.net> versions 2 and 3). Data can enter or exit the workflow at different points depending on the user's aims and initial data quality.
Authors@R: c(person("Joan","Zhang",email = "joan.zhang@emory.edu", role = c("aut", "cre")), person("Aileen","Johnson",email = "aileen.johnson@emory.edu ", role = c("aut")), person("Christian P","Larsen",email = "clarsen@emory.edu", role = c("cph", "aut")))
Depends: R (>= 3.5.0)
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Imports: devtools, usethis, tidyverse, dplyr, reshape2, schoolmath, tibble, stringr, purrr, tidyr, utils, readr, here, readxlsb
NeedsCompilation: no
Packaged: 2021-04-12 13:15:13 UTC; xzhan50
Author: Joan Zhang [aut, cre], Aileen Johnson [aut], Christian P Larsen [cph, aut]
Maintainer: Joan Zhang <joan.zhang@emory.edu>
Repository: CRAN
Date/Publication: 2021-04-13 14:50:05 UTC

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Package datamods updated to version 1.1.3 with previous version 1.1.2 dated 2021-03-27

Title: Modules to Import and Manipulate Data in 'Shiny'
Description: 'Shiny' modules to import data into an application or 'addin' from various sources, and to manipulate them after that.
Author: Victor Perrier [aut, cre, cph], Fanny Meyer [aut], Zauad Shahreer Abeer [aut]
Maintainer: Victor Perrier <victor.perrier@dreamrs.fr>

Diff between datamods versions 1.1.2 dated 2021-03-27 and 1.1.3 dated 2021-04-13

 DESCRIPTION                        |    6 
 MD5                                |   62 -
 NAMESPACE                          |  218 +++---
 NEWS.md                            |   35 
 R/doc.R                            |   46 -
 R/filter-data.R                    | 1082 +++++++++++++++---------------
 R/import-copypaste.R               |  300 ++++----
 R/import-file.R                    |  518 +++++++-------
 R/import-googlesheets.R            |  398 +++++------
 R/import-modal.R                   |  788 +++++++++++-----------
 R/update-variables.R               | 1298 ++++++++++++++++++-------------------
 R/utils-shiny.R                    |  356 +++++-----
 R/utils.R                          |    6 
 R/validation.R                     |  610 ++++++++---------
 R/zzz.R                            |    4 
 inst/doc/i18n.Rmd                  |  194 ++---
 inst/extdata/mtcars.csv            |   66 -
 inst/i18n/fr.csv                   |  118 +--
 man/filter-data.Rd                 |  372 +++++-----
 man/get_data_packages.Rd           |   34 
 man/import-copypaste.Rd            |  164 ++--
 man/import-file.Rd                 |  166 ++--
 man/import-globalenv.Rd            |  220 +++---
 man/import-googlesheets.Rd         |  164 ++--
 man/import-modal.Rd                |  206 ++---
 man/list_pkg_data.Rd               |   42 -
 man/show_data.Rd                   |  144 ++--
 man/update-variables.Rd            |  178 ++---
 tests/testthat.R                   |    8 
 tests/testthat/test-filter-data.R  |  284 ++++----
 tests/testthat/test-import-modal.R |   32 
 vignettes/i18n.Rmd                 |  194 ++---
 32 files changed, 4161 insertions(+), 4152 deletions(-)

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New package cheatsheet with initial version 0.1.0
Package: cheatsheet
Title: Download R Cheat Sheets Locally
Version: 0.1.0
Authors@R: c(person(given = "Brad", family = "Lindblad", role = c("aut", "cre"), email = "me@bradlindblad.com"), person(given = "RStudio", role = "cph"))
Description: A simple package to grab cheat sheets and save them to your local computer.
License: MIT + file LICENSE
Suggests: testthat, covr
Encoding: UTF-8
LazyData: false
URL: https://bradlindblad.github.io/cheatsheet/
BugReports: https://github.com/bradlindblad/cheatsheet/issues
Imports: magrittr, git2r, fs, crayon, cli, purrr, rappdirs, stringr, rstudioapi
NeedsCompilation: no
Packaged: 2021-04-12 01:29:15 UTC; brad
Author: Brad Lindblad [aut, cre], RStudio [cph]
Maintainer: Brad Lindblad <me@bradlindblad.com>
Repository: CRAN
Date/Publication: 2021-04-13 14:10:02 UTC

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New package IPWpn with initial version 0.1.0
Package: IPWpn
Title: Inverse-Propensity-Weighting for Partially Nested Designs
Version: 0.1.0
Author: Xiao Liu
Maintainer: Xiao Liu <xliu19@nd.edu>
Description: Use inverse-propensity-weighted estimation approaches to estimating the treatment effect from a partially nested design where one study arm (the treatment arm) is nested and the other study arm (the control arm) is not. Two estimators are provided: IPW mean difference and IPW multilevel modeling. <https://github.com/xliu12/IPWpn>.
License: GPL-2
Encoding: UTF-8
LazyData: true
Imports: MplusAutomation, tidyverse, mvtnorm, stats, utils, dplyr, tibble, tidyr
Suggests: knitr, rmarkdown, testthat (>= 2.0.0)
VignetteBuilder: knitr
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2021-04-11 14:22:18 UTC; xliu19
Repository: CRAN
Date/Publication: 2021-04-13 13:30:05 UTC

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Package ipeadatar updated to version 0.1.2 with previous version 0.1.1 dated 2020-05-14

Title: API Wrapper for 'Ipeadata'
Description: Allows direct access to the macroeconomic, financial and regional database maintained by Brazilian Institute for Applied Economic Research ('Ipea'). This R package uses the 'Ipeadata' API. For more information, see <http://www.ipeadata.gov.br/>.
Author: Luiz Eduardo S. Gomes [aut, cre], Jessyka A. P. Goltara [ctb]
Maintainer: Luiz Eduardo S. Gomes <gomes.leduardo@gmail.com>

Diff between ipeadatar versions 0.1.1 dated 2020-05-14 and 0.1.2 dated 2021-04-13

 DESCRIPTION               |   16 ++++++++--------
 MD5                       |    6 +++---
 R/ipeadata_pkg.R          |    7 +++++--
 man/available_subjects.Rd |    3 +++
 4 files changed, 19 insertions(+), 13 deletions(-)

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New package AsthmaNHANES with initial version 1.1.0
Package: AsthmaNHANES
Title: Asthma Data Sets from NHANES
Version: 1.1.0
Authors@R: c( person("Tao", "Sun",email="sun.tao@ruc.edu.cn", role = c("aut", "cre")), person("Qiyao", "Qin",role = "aut"), person("Zihan", "Qian",role = "aut"), person("Yang", "Li",role = "aut") )
Maintainer: Tao Sun <sun.tao@ruc.edu.cn>
Description: Data sets and examples from National Health and Nutritional Examination Survey (NHANES).
License: GPL-3
Depends: R (>= 3.5.0)
Repository: CRAN
Date: 2021-04-11 05:00:09 UTC
NeedsCompilation: no
Packaged: 2021-04-11 14:59:16 UTC; Lenovo
Author: Tao Sun [aut, cre], Qiyao Qin [aut], Zihan Qian [aut], Yang Li [aut]
Date/Publication: 2021-04-13 14:00:02 UTC

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Package gtfs2gps updated to version 1.4-1 with previous version 1.4-0 dated 2021-03-29

Title: Converting Transport Data from GTFS Format to GPS-Like Records
Description: Convert general transit feed specification (GTFS) data to global positioning system (GPS) records in 'data.table' format. It also has some functions to subset GTFS data in time and space and to convert both representations to simple feature format.
Author: Rafael H. M. Pereira [aut] (<https://orcid.org/0000-0003-2125-7465>), Pedro R. Andrade [aut, cre] (<https://orcid.org/0000-0001-8675-4046>), Joao Bazzo [aut] (<https://orcid.org/0000-0003-4536-5006>), Marcin Stepniak [ctb], Marcus Saraiva [ctb] (<https://orcid.org/0000-0001-6218-2338>), Ipea - Institue for Applied Economic Research [cph, fnd]
Maintainer: Pedro R. Andrade <pedro.andrade@inpe.br>

Diff between gtfs2gps versions 1.4-0 dated 2021-03-29 and 1.4-1 dated 2021-04-13

 gtfs2gps-1.4-0/gtfs2gps/NEWS.md                                                            |only
 gtfs2gps-1.4-0/gtfs2gps/inst/extdata/berlin.zip                                            |only
 gtfs2gps-1.4-0/gtfs2gps/man/figures/gtfs2gps_hex.png                                       |only
 gtfs2gps-1.4-0/gtfs2gps/man/filter_by_day.Rd                                               |only
 gtfs2gps-1.4-0/gtfs2gps/man/remove_by_route_id.Rd                                          |only
 gtfs2gps-1.4-0/gtfs2gps/vignettes/sao_small-DESKTOP-V07AVEN.zip                            |only
 gtfs2gps-1.4-1/gtfs2gps/DESCRIPTION                                                        |    8 
 gtfs2gps-1.4-1/gtfs2gps/MD5                                                                |   70 +-
 gtfs2gps-1.4-1/gtfs2gps/NAMESPACE                                                          |    2 
 gtfs2gps-1.4-1/gtfs2gps/R/RcppExports.R                                                    |    6 
 gtfs2gps-1.4-1/gtfs2gps/R/filter_gtfs.R                                                    |  100 ----
 gtfs2gps-1.4-1/gtfs2gps/R/gps_as_sflinestring.R                                            |   45 -
 gtfs2gps-1.4-1/gtfs2gps/R/gtfs2gps.R                                                       |  187 +++----
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Package nCov2019 updated to version 0.4.4 with previous version 0.4.3 dated 2021-04-08

Title: Exploring 'COVID'-19 Statistics
Description: Provides easy-to-use programming API to access real time and historical data of 'COVID'-19 cases, vaccine and therapeutics data, and a Shiny app to help users exploring the data. Fetching data using API provided by <https://disease.sh> .
Author: Guangchuang Yu [cre, aut, cph] (<https://orcid.org/0000-0002-6485-8781>), Tianzhi Wu [aut], Erqiang Hu [ctb], Patrick Tung [ctb], Xijin Ge [ctb]
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>

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Package idiogramFISH updated to version 2.0.3 with previous version 2.0.2 dated 2021-03-04

Title: Shiny App. Idiograms with Marks and Karyotype Indices
Description: Plot idiograms of karyotypes, plasmids, circular chr. having a set of data.frames for chromosome data and optionally mark data. Two styles of chromosomes can be used: without or with visible chromatids (when not circular). Supports micrometers, cM and Mb or any unit. Three styles of centromeres are available: triangular, rounded and inProtein; and six styles of marks are available: square (squareLeft), dots, cM (cMLeft), cenStyle, upArrow (downArrow), exProtein (inProtein); its legend (label) can be drawn inline or to the right of karyotypes. Idiograms can also be plotted in concentric circles. It is possible to calculate chromosome indices by Levan et al. (1964) <doi:10.1111/j.1601-5223.1964.tb01953.x>, karyotype indices of Watanabe et al. (1999) <doi:10.1007/PL00013869> and Romero-Zarco (1986) <doi:10.2307/1221906> and classify chromosomes by morphology Guerra (1986) and Levan et al. (1964).
Author: Fernando Roa [aut, cre], Mariana PC Telles [ctb]
Maintainer: Fernando Roa <froao@unal.edu.co>

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Package AWR updated to version 1.11.189-1 with previous version 1.11.189 dated 2017-09-07

Title: 'AWS' Java 'SDK' for R
Description: Make the compiled Java modules of the Amazon Web Services ('AWS') 'SDK' available to be used in downstream R packages interacting with 'AWS'. See <https://aws.amazon.com/sdk-for-java> for more information on the 'AWS' 'SDK' for Java.
Author: Gergely Daroczi <daroczig@rapporter.net>
Maintainer: Gergely Daroczi <daroczig@rapporter.net>

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Package peopleanalyticsdata updated to version 0.2.1 with previous version 0.2.0 dated 2021-02-16

Title: Data Sets for Keith McNulty's Handbook of Regression Modeling in People Analytics
Description: Data sets for statistical inference modeling related to People Analytics. Contains various data sets from the book 'Handbook of Regression Modeling in People Analytics' by Keith McNulty (2020).
Author: Keith McNulty [aut, cre] (<https://orcid.org/0000-0002-2332-1654>)
Maintainer: Keith McNulty <keith.mcnulty@gmail.com>

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Package giscoR updated to version 0.2.4 with previous version 0.2.2 dated 2020-11-23

Title: Download Map Data from GISCO API - Eurostat
Description: Tools to download data from the GISCO (Geographic Information System of the Commission) Eurostat database <https://ec.europa.eu/eurostat/web/gisco>. Global and European map data available. This package is in no way officially related to or endorsed by Eurostat.
Author: Diego Hernangómez [aut, cre, cph] (<https://orcid.org/0000-0001-8457-4658>), EuroGeographics [cph] (for the administrative boundaries.), Vincent Arel-Bundock [cph] (<https://orcid.org/0000-0003-2042-7063>, for the gisco_countrycode dataset.)
Maintainer: Diego Hernangómez <diego.hernangomezherrero@gmail.com>

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New package glmtoolbox with initial version 0.1.0
Package: glmtoolbox
Title: Set of Tools to Data Analysis using Generalized Linear Models
Version: 0.1.0
Authors@R: c(person("Luis Hernando","Vanegas",role=c("aut","cre"),email="lhvanegasp@unal.edu.co"), person("Luz Marina","Rondón",role="aut",email="lmrondonp@unal.edu.co"), person("Gilberto A.","Paula",role="aut",email="giapaula@ime.usp.br"))
Description: Set of tools to the statistical analysis of data using: (1) normal linear models; (2) generalized linear models; (3) negative binomial regression models as alternative to the Poisson regression models under the presence of overdispersion; (4) beta-binomial regression models as alternative to the binomial regression models under the presence of overdispersion; (5) generalized estimating equations for cluster correlated data.
License: GPL-2 | GPL-3
Imports: methods, stats, graphics
Suggests: aplore3, MASS, ISLR
Depends: numDeriv, Rfast
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2021-04-10 23:58:55 UTC; Luis
Author: Luis Hernando Vanegas [aut, cre], Luz Marina Rondón [aut], Gilberto A. Paula [aut]
Maintainer: Luis Hernando Vanegas <lhvanegasp@unal.edu.co>
Repository: CRAN
Date/Publication: 2021-04-13 08:10:02 UTC

More information about glmtoolbox at CRAN
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Package ClimMobTools updated to version 0.3.9 with previous version 0.3.7 dated 2021-03-23

Title: API Client for the 'ClimMob' Platform
Description: API client for 'ClimMob', an open source software for experimental crowdsourcing citizen science under the 'tricot' approach <https://climmob.net/>. Developed by van Etten et al. (2019) <doi:10.1017/S0014479716000739>, it turns the research paradigm on its head; instead of a few researchers designing complicated trials to compare several technologies in search of the best solutions for the target environment, it enables many participants to carry out reasonably simple experiments that taken together can offer even more information. 'ClimMobTools' enables project managers to deep explore and analyse their 'ClimMob' data in R.
Author: Kauê de Sousa [aut, cre] (<https://orcid.org/0000-0002-7571-7845>), Jacob van Etten [aut] (<https://orcid.org/0000-0001-7554-2558>), Brandon Madriz [ctb] (API Client implementation)
Maintainer: Kauê de Sousa <kaue.desousa@inn.no>

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Package RMariaDB updated to version 1.1.1 with previous version 1.1.0 dated 2021-01-07

Title: Database Interface and 'MariaDB' Driver
Description: Implements a 'DBI'-compliant interface to 'MariaDB' (<https://mariadb.org/>) and 'MySQL' (<https://www.mysql.com/>) databases.
Author: Kirill Müller [aut, cre] (<https://orcid.org/0000-0002-1416-3412>), Jeroen Ooms [aut] (<https://orcid.org/0000-0002-4035-0289>), David James [aut], Saikat DebRoy [aut], Hadley Wickham [aut], Jeffrey Horner [aut], R Consortium [fnd], RStudio [cph]
Maintainer: Kirill Müller <krlmlr+r@mailbox.org>

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More information about RMariaDB at CRAN
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Package pillar updated to version 1.6.0 with previous version 1.5.1 dated 2021-03-05

Title: Coloured Formatting for Columns
Description: Provides 'pillar' and 'colonnade' generics designed for formatting columns of data using the full range of colours provided by modern terminals.
Author: Kirill Müller [aut, cre], Hadley Wickham [aut], RStudio [cph]
Maintainer: Kirill Müller <krlmlr+r@mailbox.org>

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More information about pillar at CRAN
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Package hscovar updated to version 0.4.2 with previous version 0.4.0 dated 2020-08-06

Title: Calculation of Covariance Between Markers for Half-Sib Families
Description: The theoretical covariance between pairs of markers is calculated from either paternal haplotypes and maternal linkage disequilibrium (LD) or vise versa. A genetic map is required. Grouping of markers is based on the correlation matrix and a representative marker is suggested for each group. Employing the correlation matrix, optimal sample size can be derived for association studies based on a SNP-BLUP approach. The implementation relies on paternal half-sib families and biallelic markers. If maternal half-sib families are used, the roles of sire/dam are swapped. Multiple families can be considered. Wittenburg, Bonk, Doschoris, Reyer (2020) "Design of Experiments for Fine-Mapping Quantitative Trait Loci in Livestock Populations" <doi:10.1186/s12863-020-00871-1>. Carlson, Eberle, Rieder, Yi, Kruglyak, Nickerson (2004) "Selecting a maximally informative set of single-nucleotide polymorphisms for association analyses using linkage disequilibrium" <doi:10.1086/381000>.
Author: Dörte Wittenburg [aut, cre], Michael Doschoris [aut], Jan Klosa [ctb]
Maintainer: Dörte Wittenburg <wittenburg@fbn-dummerstorf.de>

Diff between hscovar versions 0.4.0 dated 2020-08-06 and 0.4.2 dated 2021-04-13

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New package ggmix with initial version 0.0.2
Package: ggmix
Title: Variable Selection in Linear Mixed Models for SNP Data
Version: 0.0.2
Authors@R: c( person("Sahir", "Bhatnagar", email = "sahir.bhatnagar@gmail.com", role = c("aut", "cre"), comment = "https://sahirbhatnagar.com/"), person("Karim", "Oualkacha", email = "oualkacha.karim@uqam.ca", role = c("aut"), comment = "http://karimoualkacha.uqam.ca/"), person("Yi", "Yang", email = "yi.yang6@mcgill.ca", role = c("aut"), comment = "http://www.math.mcgill.ca/yyang/"), person("Celia", "Greenwood", email = "celia.greenwood@mcgill.ca", role = c("aut"), comment = "http://www.mcgill.ca/statisticalgenetics/") )
Description: Fit penalized multivariable linear mixed models with a single random effect to control for population structure in genetic association studies. The goal is to simultaneously fit many genetic variants at the same time, in order to select markers that are independently associated with the response. Can also handle prior annotation information, for example, rare variants, in the form of variable weights. For more information, see the website below and the accompanying paper: Bhatnagar et al., "Simultaneous SNP selection and adjustment for population structure in high dimensional prediction models", 2020, <DOI:10.1371/journal.pgen.1008766>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.4.0)
Imports: glmnet, methods, stats, MASS, Matrix
Suggests: RSpectra, popkin, bnpsd, testthat, covr, knitr, rmarkdown
BugReports: https://github.com/sahirbhatnagar/ggmix/issues
URL: https://github.com/sahirbhatnagar/ggmix
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-04-10 04:23:08 UTC; sahir
Author: Sahir Bhatnagar [aut, cre] (https://sahirbhatnagar.com/), Karim Oualkacha [aut] (http://karimoualkacha.uqam.ca/), Yi Yang [aut] (http://www.math.mcgill.ca/yyang/), Celia Greenwood [aut] (http://www.mcgill.ca/statisticalgenetics/)
Maintainer: Sahir Bhatnagar <sahir.bhatnagar@gmail.com>
Repository: CRAN
Date/Publication: 2021-04-13 07:00:02 UTC

More information about ggmix at CRAN
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Package nanny (with last version 0.1.8) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2020-06-13 0.1.8

Permanent link
Package lightgbm updated to version 3.2.1 with previous version 3.2.0 dated 2021-03-22

Title: Light Gradient Boosting Machine
Description: Tree based algorithms can be improved by introducing boosting frameworks. 'LightGBM' is one such framework, based on Ke, Guolin et al. (2017) <https://papers.nips.cc/paper/6907-lightgbm-a-highly-efficient-gradient-boosting-decision>. This package offers an R interface to work with it. It is designed to be distributed and efficient with the following advantages: 1. Faster training speed and higher efficiency. 2. Lower memory usage. 3. Better accuracy. 4. Parallel learning supported. 5. Capable of handling large-scale data. In recognition of these advantages, 'LightGBM' has been widely-used in many winning solutions of machine learning competitions. Comparison experiments on public datasets suggest that 'LightGBM' can outperform existing boosting frameworks on both efficiency and accuracy, with significantly lower memory consumption. In addition, parallel experiments suggest that in certain circumstances, 'LightGBM' can achieve a linear speed-up in training time by using multiple machines.
Author: Guolin Ke [aut, cre], Damien Soukhavong [aut], James Lamb [aut], Qi Meng [aut], Thomas Finley [aut], Taifeng Wang [aut], Wei Chen [aut], Weidong Ma [aut], Qiwei Ye [aut], Tie-Yan Liu [aut], Yachen Yan [ctb], Microsoft Corporation [cph], Dropbox, Inc. [cph], Jay Loden [cph], Dave Daeschler [cph], Giampaolo Rodola [cph], Alberto Ferreira [ctb], Daniel Lemire [ctb], Victor Zverovich [cph], IBM Corporation [ctb]
Maintainer: Guolin Ke <guolin.ke@microsoft.com>

Diff between lightgbm versions 3.2.0 dated 2021-03-22 and 3.2.1 dated 2021-04-13

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More information about lightgbm at CRAN
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Package ffscrapr updated to version 1.4.0 with previous version 1.3.0 dated 2021-03-07

Title: API Client for Fantasy Football League Platforms
Description: Helps access various Fantasy Football APIs by handling authentication and rate-limiting, forming appropriate calls, and returning tidy dataframes which can be easily connected to other data sources.
Author: Tan Ho [aut, cre], Tony ElHabr [ctb], Joe Sydlowski [ctb]
Maintainer: Tan Ho <tan@tanho.ca>

Diff between ffscrapr versions 1.3.0 dated 2021-03-07 and 1.4.0 dated 2021-04-13

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More information about ffscrapr at CRAN
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Package akmedoids updated to version 1.3.0 with previous version 0.1.5 dated 2020-01-09

Title: Anchored Kmedoids for Longitudinal Data Clustering
Description: Advances a novel adaptation of longitudinal k-means clustering technique (Genolini et al. (2015) <doi:10.18637/jss.v065.i04>) for grouping trajectories based on the similarities of their long-term trends and determines the optimal solution based on either the average silhouette width (Rousseeuw P. J. 1987) or the Calinski-Harabatz criterion (Calinski and Harabatz (1974) <doi:10.1080/03610927408827101>). Includes functions to extract descriptive statistics and generate a visualisation of the resulting groups, drawing methods from the 'ggplot2' library (Wickham H. (2016) <doi:10.1007/978-3-319-24277-4>). The package also includes a number of other useful functions for exploring and manipulating longitudinal data prior to the clustering process.
Author: Monsuru Adepeju [cre, aut], Samuel Langton [aut], Jon Bannister [aut]
Maintainer: Monsuru Adepeju <monsuur2010@yahoo.com>

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Mon, 12 Apr 2021

Package readsparse updated to version 0.1.2-1 with previous version 0.1.2 dated 2021-04-07

Title: Read and Write Sparse Matrices in 'SVMLight' and 'LibSVM' Formats
Description: Read and write labelled sparse matrices in text format as used by software such as 'SVMLight', 'LibSVM', 'ThunderSVM', 'LibFM', 'xLearn', 'XGBoost', 'LightGBM', and others. Supports labelled data for regression, classification (binary, multi-class, multi-label), and ranking (with 'qid' field), and can handle header metadata and comments in files.
Author: David Cortes
Maintainer: David Cortes <david.cortes.rivera@gmail.com>

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Package msmtools updated to version 2.0.1 with previous version 2.0.0 dated 2021-04-07

Title: Building Augmented Data to Run Multi-State Models with 'msm' Package
Description: A fast and general method for restructuring classical longitudinal data into augmented ones. The reason for this is to facilitate the modeling of longitudinal data under a multi-state framework using the 'msm' package.
Author: Francesco Grossetti [aut, cre] (<https://orcid.org/0000-0002-5130-7745>)
Maintainer: Francesco Grossetti <francesco.grossetti@unibocconi.it>

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Package regmed updated to version 2.0.4 with previous version 1.1.0 dated 2020-06-05

Title: Regularized Mediation Analysis
Description: Mediation analysis for multiple mediators by penalized structural equation models with different types of penalties depending on whether there are multiple mediators and only one exposure and one outcome variable (using sparse group lasso) or multiple exposures, multiple mediators, and multiple outcome variables (using lasso, L1, penalties).
Author: Jason Sinnwell [aut, cre] (<https://orcid.org/0000-0003-1964-5522>), Daniel Schaid [aut] (<https://orcid.org/0000-0003-1457-6433>)
Maintainer: Jason Sinnwell <sinnwell.jason@mayo.edu>

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Package mlr3misc updated to version 0.9.0 with previous version 0.8.0 dated 2021-03-19

Title: Helper Functions for 'mlr3'
Description: Frequently used helper functions and assertions used in 'mlr3' and its companion packages. Comes with helper functions for functional programming, for printing, to work with 'data.table', as well as some generally useful 'R6' classes. This package also supersedes the package 'BBmisc'.
Author: Michel Lang [cre, aut] (<https://orcid.org/0000-0001-9754-0393>), Patrick Schratz [aut] (<https://orcid.org/0000-0003-0748-6624>)
Maintainer: Michel Lang <michellang@gmail.com>

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Package dyngen updated to version 1.0.1 with previous version 1.0.0 dated 2021-02-23

Title: A Multi-Modal Simulator for Spearheading Single-Cell Omics Analyses
Description: A novel, multi-modal simulation engine for studying dynamic cellular processes at single-cell resolution. 'dyngen' is more flexible than current single-cell simulation engines. It allows better method development and benchmarking, thereby stimulating development and testing of novel computational methods. Cannoodt et al. (2020) <doi:10.1101/2020.02.06.936971>.
Author: Robrecht Cannoodt [aut, cre, cph] (<https://orcid.org/0000-0003-3641-729X>), Wouter Saelens [aut] (<https://orcid.org/0000-0002-7114-6248>)
Maintainer: Robrecht Cannoodt <rcannood@gmail.com>

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Package radsafer updated to version 2.2.5 with previous version 2.2.4 dated 2021-01-04

Title: Radiation Safety
Description: Provides functions for radiation safety, also known as "radiation protection" and "radiological control". The science of radiation protection is called "health physics" and its engineering functions are called "radiological engineering". Functions in this package cover many of the computations needed by radiation safety professionals. Examples include: obtaining updated calibration and source check values for radiation monitors to account for radioactive decay in a reference source, simulating instrument readings to better understand measurement uncertainty, correcting instrument readings for geometry and ambient atmospheric conditions. Many of these functions are described in Johnson and Kirby (2011, ISBN-13: 978-1609134198). Utilities are also included for developing inputs and processing outputs with radiation transport codes, such as MCNP, a general-purpose Monte Carlo N-Particle code that can be used for neutron, photon, electron, or coupled neutron/photon/electron transport (Werner et. al. (2018) <doi:10.2172/1419730>).
Author: Mark Hogue <mark.hogue.chp@gmail.com>
Maintainer: Mark Hogue <mark.hogue.chp@gmail.com>

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Package troopdata updated to version 0.1.3 with previous version 0.1.2 dated 2021-03-02

Title: Tools for Analyzing Cross-National Military Deployment and Basing Data
Description: These functions generate data frames on troop deployments and military basing using U.S. Department of Defense data on overseas military deployments. This package provides functions for pulling country-year troop deployment and basing data. Subsequent versions will hopefully include cross-national data on deploying countries.
Author: Michael Flynn [aut, cre] (<https://orcid.org/0000-0002-6064-740X>)
Maintainer: Michael Flynn <meflynn@ksu.edu>

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Package Microsoft365R updated to version 2.1.0 with previous version 2.0.0 dated 2021-02-26

Title: Interface to the 'Microsoft 365' Suite of Cloud Services
Description: An interface to the 'Microsoft 365' (formerly known as 'Office 365') suite of cloud services, building on the framework supplied by the 'AzureGraph' package. Enables access from R to data stored in 'Teams', 'SharePoint Online' and 'OneDrive', including the ability to list drive folder contents, upload and download files, send messages, and retrieve data lists. Also provides a full-featured 'Outlook' email client, with the ability to send emails and manage emails and mail folders.
Author: Hong Ooi [aut, cre], Microsoft [cph]
Maintainer: Hong Ooi <hongooi73@gmail.com>

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Package ggstatsplot updated to version 0.7.2 with previous version 0.7.1 dated 2021-03-11

Title: 'ggplot2' Based Plots with Statistical Details
Description: Extension of 'ggplot2', 'ggstatsplot' creates graphics with details from statistical tests included in the plots themselves. It provides an easier syntax to generate information-rich plots for statistical analysis of continuous (violin plots, scatterplots, histograms, dot plots, dot-and-whisker plots) or categorical (pie and bar charts) data. Currently, it supports the most common types of statistical approaches and tests: parametric, nonparametric, robust, and Bayesian versions of t-test/ANOVA, correlation analyses, contingency table analysis, meta-analysis, and regression analyses.
Author: Indrajeet Patil [cre, aut, cph] (<https://orcid.org/0000-0003-1995-6531>, @patilindrajeets)
Maintainer: Indrajeet Patil <patilindrajeet.science@gmail.com>

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Package campfin updated to version 1.0.7 with previous version 1.0.6 dated 2021-03-04

Title: Wrangle Campaign Finance Data
Description: Explore and normalize American campaign finance data. Created by the Investigative Reporting Workshop to facilitate work on The Accountability Project, an effort to collect public data into a central, standard database that is more easily searched: <https://publicaccountability.org/>.
Author: Kiernan Nicholls [aut, cre, cph], Investigative Reporting Workshop [cph], Yanqi Xu [aut], Schuyler Erle [cph]
Maintainer: Kiernan Nicholls <kiernann@protonmail.com>

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Package predictoR updated to version 1.1.9 with previous version 1.1.7 dated 2021-03-04

Title: Predictive Data Analysis System
Description: Perform a supervised data analysis on a database through a 'shiny' graphical interface. It includes methods such as K-Nearest Neighbors, Decision Trees, ADA Boosting, Extreme Gradient Boosting, Random Forest, Neural Networks, Deep Learning, Support Vector Machines and Bayesian Methods.
Author: Oldemar Rodriguez [aut, cre], Andrés Navarro [ctb, prg], Diego Jiménez [ctb, prg], Joseline Quirós [ctb, prg]
Maintainer: Oldemar Rodriguez <oldemar.rodriguez@ucr.ac.cr>

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Package loa updated to version 0.2.47.1 with previous version 0.2.46.3 dated 2021-01-16

Title: Lattice Options and Add-Ins
Description: Various plots and functions that make use of the lattice/trellis plotting framework. The plots, which include loaPlot(), RgoogleMapsPlot() and trianglePlot(), use panelPal(), a function that extends 'lattice' and 'hexbin' package methods to automate plot subscript and panel-to-panel and panel-to-key synchronization/management.
Author: Karl Ropkins
Maintainer: Karl Ropkins <karl.ropkins@gmail.com>

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Package GJRM updated to version 0.2-4 with previous version 0.2-3 dated 2020-09-07

Title: Generalised Joint Regression Modelling
Description: Routines for fitting various joint (and univariate) regression models, with several types of covariate effects, in the presence of equations' errors association, endogeneity, non-random sample selection or partial observability.
Author: Giampiero Marra <giampiero.marra@ucl.ac.uk> and Rosalba Radice <rosalba.radice@city.ac.uk>
Maintainer: Giampiero Marra <giampiero.marra@ucl.ac.uk>

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Package garchmodels updated to version 0.1.1 with previous version 0.1.0 dated 2021-04-10

Title: The 'Tidymodels' Extension for GARCH Models
Description: Garch framework for use with the 'tidymodels' ecosystem. It includes both univariate and multivariate methods from the 'rugarch' and 'rmgarch' packages. These models include DCC-Garch, Copula Garch and Go-GARCH among others.
Author: Alberto Almuiña [aut, cre]
Maintainer: Alberto Almuiña <albertogonzalezalmuinha@gmail.com>

Diff between garchmodels versions 0.1.0 dated 2021-04-10 and 0.1.1 dated 2021-04-12

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Package fwildclusterboot updated to version 0.3.3 with previous version 0.3.2 dated 2021-02-26

Title: Fast Wild Cluster Bootstrap Inference for Linear Regression Models
Description: Implementation of the fast algorithm for wild cluster bootstrap inference developed in Roodman et al (2019, STATA Journal) for linear regression models <https://journals.sagepub.com/doi/full/10.1177/1536867X19830877>, which makes it feasible to quickly calculate bootstrap test statistics based on a large number of bootstrap draws even for large samples - as long as the number of bootstrapping clusters is not too large. Multiway clustering, regression weights, bootstrap weights, fixed effects and subcluster bootstrapping are supported. Further, both restricted (WCR) and unrestricted (WCU) bootstrap are supported. Methods are provided for a variety of fitted models, including 'lm()', 'feols()' (from package 'fixest') and 'felm()' (from package 'lfe').
Author: Alexander Fischer [aut, cre], David Roodman [aut], Achim Zeileis [ctb] (Author of included sandwich fragments), Nathaniel Graham [ctb] (Contributor to included sandwich fragments), Susanne Koell [ctb] (Contributor to included sandwich fragments), Laurent Berge [ctb] (Author of included fixest fragments), Sebastian Krantz [ctb]
Maintainer: Alexander Fischer <alexander-fischer1801@t-online.de>

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Permanent link

Package clock updated to version 0.2.0 with previous version 0.1.0 dated 2021-03-31

Title: Date-Time Types and Tools
Description: Provides a comprehensive library for date-time manipulations using a new family of orthogonal date-time classes (durations, time points, zoned-times, and calendars) that partition responsibilities so that the complexities of time zones are only considered when they are really needed. Capabilities include: date-time parsing, formatting, arithmetic, extraction and updating of components, and rounding.
Author: Davis Vaughan [aut, cre], Howard Hinnant [cph] (Author of the included date library), RStudio [cph, fnd]
Maintainer: Davis Vaughan <davis@rstudio.com>

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More information about clock at CRAN
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Package babynames updated to version 1.0.1 with previous version 1.0.0 dated 2019-01-12

Title: US Baby Names 1880-2017
Description: US baby names provided by the SSA. This package contains all names used for at least 5 children of either sex.
Author: Hadley Wickham [aut, cre], RStudio [cph]
Maintainer: Hadley Wickham <hadley@rstudio.com>

Diff between babynames versions 1.0.0 dated 2019-01-12 and 1.0.1 dated 2021-04-12

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More information about babynames at CRAN
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New package varrank with initial version 0.4
Package: varrank
Title: Heuristics Tools Based on Mutual Information for Variable Ranking
Version: 0.4
Authors@R: c(person("Gilles", "Kratzer", role = c("aut", "cre"), email = "gilles.kratzer@math.uzh.ch", comment = c(ORCID = "0000-0002-5929-8935")), person("Reinhard", "Furrer", role = c("ctb"), email = "reinhard.furrer@math.uzh.ch", comment = c(ORCID = "0000-0002-6319-2332")))
Author: Gilles Kratzer [aut, cre] (<https://orcid.org/0000-0002-5929-8935>), Reinhard Furrer [ctb] (<https://orcid.org/0000-0002-6319-2332>)
Maintainer: Gilles Kratzer <gilles.kratzer@math.uzh.ch>
Description: A computational toolbox of heuristics approaches for performing variable ranking and feature selection based on mutual information well adapted for multivariate system epidemiology datasets. The core function is a general implementation of the minimum redundancy maximum relevance model. R. Battiti (1994) <doi:10.1109/72.298224>. Continuous variables are discretized using a large choice of rule. Variables ranking can be learned with a sequential forward/backward search algorithm. The two main problems that can be addressed by this package is the selection of the most representative variable within a group of variables of interest (i.e. dimension reduction) and variable ranking with respect to a set of features of interest.
Encoding: UTF-8
License: GPL-3
LazyData: true
Suggests: Boruta, FSelector, caret, e1071, mlbench, psych, varSelRF, gplots, entropy, testthat, knitr, markdown
URL: https://www.math.uzh.ch/pages/varrank/
Imports: stats, FNN, grDevices
Depends: R (>= 3.5.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-04-12 09:31:50 UTC; Kratzer
Repository: CRAN
Date/Publication: 2021-04-12 16:50:02 UTC

More information about varrank at CRAN
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Package Sojourn updated to version 1.0.2 with previous version 0.1.0 dated 2019-05-06

Title: Apply Sojourn Methods for Processing ActiGraph Accelerometer Data
Description: Provides a simple way for utilizing Sojourn methods for accelerometer processing, as detailed in Lyden K, Keadle S, Staudenmayer J, & Freedson P (2014) <doi:10.1249/MSS.0b013e3182a42a2d>, Ellingson LD, Schwabacher IJ, Kim Y, Welk GJ, & Cook DB (2016) <doi:10.1249/MSS.0000000000000915>, and Hibbing PR, Ellingson LD, Dixon PM, & Welk GJ (2018) <doi:10.1249/MSS.0000000000001486>. The accompanying Sojourn.Data package, if not available on CRAN, can be accessed from <https://github.com/paulhibbing/Sojourn.Data>.
Author: Paul R. Hibbing [aut, cre], Kate Lyden [aut], Isaac J. Schwabacher [aut]
Maintainer: Paul R. Hibbing <paulhibbing@gmail.com>

Diff between Sojourn versions 0.1.0 dated 2019-05-06 and 1.0.2 dated 2021-04-12

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More information about Sojourn at CRAN
Permanent link

New package NFP with initial version 0.99.4
Package: NFP
Title: Network Fingerprint Framework in R
Version: 0.99.4
Authors@R: c( person("Yang", "Cao",email = "caoyang.name@gmail.com",role = c("aut","cre" )), person("Fei", "Li", email = "pittacus@gmail.com", role = "aut") )
Maintainer: Yang Cao <caoyang.name@gmail.com>
Description: An implementation of the network fingerprint framework that introduced in paper "Network fingerprint: a knowledge-based characterization of biomedical networks" (Cui, 2015) <doi:10.1038/srep13286>. This method worked by making systematic comparisons to a set of well-studied "basic networks", measuring both the functional and topological similarity. A biological could be characterized as a spectrum-like vector consisting of similarities to basic networks. It shows great potential in biological network study.
Depends: R (>= 3.2.0), graph
Imports: igraph, stringr, magrittr, plyr, ggplot2, apcluster, KEGGgraph, dplyr, tidyr, methods
Suggests: knitr, testthat, graphite, NFPdata, rmarkdown
Additional_repositories: https://yiluheihei.github.io/datarepo/
VignetteBuilder: knitr
License: GPL (>= 2)
LazyData: yes
LazyDataCompression: xz
NeedsCompilation: no
URL: https://github.com/yiluheihei/NFP
BugReports: https://github.com/yiluheihei/NFP/issues
Packaged: 2021-04-12 11:23:16 UTC; caoyang
Author: Yang Cao [aut, cre], Fei Li [aut]
Repository: CRAN
Date/Publication: 2021-04-12 16:30:02 UTC

More information about NFP at CRAN
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Package plotKML updated to version 0.8-0 with previous version 0.6-1 dated 2020-03-09

Title: Visualization of Spatial and Spatio-Temporal Objects in Google Earth
Description: Writes sp-class, spacetime-class, raster-class and similar spatial and spatio-temporal objects to KML following some basic cartographic rules.
Author: Tomislav Hengl [cre, aut], Andrea Gilardi [ctb], Pierre Roudier [ctb], Dylan Beaudette [ctb], Edzer Pebesma [ctb], Michael Blaschek [ctb]
Maintainer: Tomislav Hengl <tom.hengl@opengeohub.org>

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Package nycflights13 updated to version 1.0.2 with previous version 1.0.1 dated 2019-09-16

Title: Flights that Departed NYC in 2013
Description: Airline on-time data for all flights departing NYC in 2013. Also includes useful 'metadata' on airlines, airports, weather, and planes.
Author: Hadley Wickham [aut, cre], RStudio [cph]
Maintainer: Hadley Wickham <hadley@rstudio.com>

Diff between nycflights13 versions 1.0.1 dated 2019-09-16 and 1.0.2 dated 2021-04-12

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Package inum updated to version 1.0-4 with previous version 1.0-3 dated 2021-02-08

Title: Interval and Enum-Type Representation of Vectors
Description: Enum-type representation of vectors and representation of intervals, including a method of coercing variables in data frames.
Author: Torsten Hothorn [aut, cre]
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

Diff between inum versions 1.0-3 dated 2021-02-08 and 1.0-4 dated 2021-04-12

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Package GWmodel updated to version 2.2-5 with previous version 2.2-4 dated 2021-02-17

Title: Geographically-Weighted Models
Description: Techniques from a particular branch of spatial statistics,termed geographically-weighted (GW) models. GW models suit situations when data are not described well by some global model, but where there are spatial regions where a suitably localised calibration provides a better description. 'GWmodel' includes functions to calibrate: GW summary statistics (Brunsdon et al., 2002)<doi: 10.1016/s0198-9715(01)00009-6>, GW principal components analysis (Harris et al., 2011)<doi: 10.1080/13658816.2011.554838>, GW discriminant analysis (Brunsdon et al., 2007)<doi: 10.1111/j.1538-4632.2007.00709.x> and various forms of GW regression (Brunsdon et al., 1996)<doi: 10.1111/j.1538-4632.1996.tb00936.x>; some of which are provided in basic and robust (outlier resistant) forms.
Author: Binbin Lu[aut], Paul Harris[aut], Martin Charlton[aut], Chris Brunsdon[aut], Tomoki Nakaya[aut], Daisuke Murakami[aut],Isabella Gollini[ctb], Yigong Hu[ctb], Fiona H Evans[ctb]
Maintainer: Binbin Lu <binbinlu@whu.edu.cn>

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Package fbst updated to version 1.5 with previous version 1.4 dated 2021-03-09

Title: The Full Bayesian Evidence Test, Full Bayesian Significance Test and the e-Value
Description: Provides access to a range of functions for computing and visualizing the Full Bayesian Significance Test (FBST) and the e-value for testing a sharp hypothesis against its alternative, and the Full Bayesian Evidence Test (FBET) and the (generalized) Bayesian evidence value for testing a composite (or interval) hypothesis against its alternative. The methods are widely applicable as long as a posterior MCMC sample is available. For details on the computation and theory of the FBST see <arXiv:2005.13181>.
Author: Riko Kelter
Maintainer: Riko Kelter <riko.kelter@uni-siegen.de>

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Package TreeTools updated to version 1.4.3 with previous version 1.4.2 dated 2021-01-26

Title: Create, Modify and Analyse Phylogenetic Trees
Description: Efficient implementations of functions for the creation, modification and analysis of phylogenetic trees. Applications include: generation of trees with specified shapes; analysis of tree shape; rooting of trees and extraction of subtrees; calculation and depiction of node support; calculation of ancestor-descendant relationships; import and export of trees from Newick, Nexus (Maddison et al. 1997) <doi:10.1093/sysbio/46.4.590>, and TNT <http://www.lillo.org.ar/phylogeny/tnt/> formats; and analysis of splits and cladistic information.
Author: Martin R. Smith [aut, cre, cph] (<https://orcid.org/0000-0001-5660-1727>), Emmanuel Paradis [cph] (<https://orcid.org/0000-0003-3092-2199>)
Maintainer: Martin R. Smith <martin.smith@durham.ac.uk>

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Package pcds (with last version 0.1.1) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2020-03-25 0.1.1
2020-02-29 0.1.0

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Package ForestGapR (with last version 0.0.3) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2021-03-27 0.0.3

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Package SmartSifter (with last version 0.1.0) was removed from CRAN

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Package tsibble updated to version 1.0.1 with previous version 1.0.0 dated 2021-02-20

Title: Tidy Temporal Data Frames and Tools
Description: Provides a 'tbl_ts' class (the 'tsibble') for temporal data in an data- and model-oriented format. The 'tsibble' provides tools to easily manipulate and analyse temporal data, such as filling in time gaps and aggregating over calendar periods.
Author: Earo Wang [aut, cre] (<https://orcid.org/0000-0001-6448-5260>), Di Cook [aut, ths] (<https://orcid.org/0000-0002-3813-7155>), Rob Hyndman [aut, ths] (<https://orcid.org/0000-0002-2140-5352>), Mitchell O'Hara-Wild [aut] (<https://orcid.org/0000-0001-6729-7695>), Tyler Smith [ctb], Wil Davis [ctb]
Maintainer: Earo Wang <earo.wang@gmail.com>

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Package maSAE updated to version 2.0.3 with previous version 2.0.2 dated 2020-11-02

Title: Mandallaz' Model-Assisted Small Area Estimators
Description: An S4 implementation of the unbiased extension of the model- assisted synthetic-regression estimator proposed by Mandallaz (2013) <DOI:10.1139/cjfr-2012-0381>, Mandallaz et al. (2013) <DOI:10.1139/cjfr-2013-0181> and Mandallaz (2014) <DOI:10.1139/cjfr-2013-0449>. It yields smaller variances than the standard bias correction, the generalised regression estimator.
Author: Andreas Dominik Cullmann [aut, cre], Daniel Mandallaz [ctb], Alexander Francis Massey [ctb]
Maintainer: Andreas Dominik Cullmann <fvafrcu@mailbox.org>

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Package esquisse updated to version 1.0.0 with previous version 0.3.1 dated 2020-09-27

Title: Explore and Visualize Your Data Interactively
Description: A 'shiny' gadget to create 'ggplot2' figures interactively with drag-and-drop to map your variables to different aesthetics. You can quickly visualize your data accordingly to their type, export in various formats, and retrieve the code to reproduce the plot.
Author: Fanny Meyer [aut], Victor Perrier [aut, cre], Ian Carroll [ctb] (Faceting support), Xiangnan Dang [ctb] (Facets rows and cols, X/Y limits)
Maintainer: Victor Perrier <victor.perrier@dreamrs.fr>

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Package eq5d updated to version 0.9.0 with previous version 0.8.1 dated 2021-02-09

Title: Methods for Analysing 'EQ-5D' Data and Calculating 'EQ-5D' Index Scores
Description: EQ-5D is a popular health related quality of life instrument used in the clinical and economic evaluation of health care. Developed by the EuroQol group <https://euroqol.org/>, the instrument consists of two components: health state description and evaluation. For the description component a subject self-rates their health in terms of five dimensions; mobility, self-care, usual activities, pain/discomfort, and anxiety/depression using either a three-level (EQ-5D-3L, <https://euroqol.org/eq-5d-instruments/eq-5d-3l-about/>) or a five-level (EQ-5D-5L, <https://euroqol.org/eq-5d-instruments/eq-5d-5l-about/>) scale. Frequently the scores on these five dimensions are converted to a single utility index using country specific value sets, which can be used in the clinical and economic evaluation of health care as well as in population health surveys. The eq5d package provides methods to calculate index scores from a subject's dimension scores. 28 TTO and 11 VAS EQ-5D-3L value sets including those for countries in Szende et al (2007) <doi:10.1007/1-4020-5511-0> and Szende et al (2014) <doi:10.1007/978-94-007-7596-1>, 27 EQ-5D-5L EQ-VT value sets from the EuroQol website, the EQ-5D-5L crosswalk value sets developed by van Hout et al. (2012) <doi:10.1016/j.jval.2012.02.008> as well as the crosswalk value set for Russia. Two EQ-5D-Y value sets are also included. Methods are also included for the analysis of EQ-5D profiles along with a shiny web tool to enable the calculation, visualisation and automated statistical analysis of EQ-5D data via a web browser using EQ-5D dimension scores stored in CSV or Excel files.
Author: Fraser Morton [aut, cre], Jagtar Singh Nijjar [aut]
Maintainer: Fraser Morton <fraser.morton@glasgow.ac.uk>

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New package ssaBSS with initial version 0.1
Package: ssaBSS
Title: Stationary Subspace Analysis
Version: 0.1
Date: 2021-04-06
Authors@R: c(person(given = "Markus", family = "Matilainen", role = c("cre","aut"), email = "markus.matilainen@outlook.com", comment = c(ORCID = "0000-0002-5597-2670")), person(given = "Lea", family = "Flumian", role = "aut"), person(given = "Klaus", family = "Nordhausen", role = c("aut"), comment = c(ORCID = "0000-0002-3758-8501")), person(given = "Sara", family = "Taskinen", role = "aut", comment = c(ORCID = "0000-0001-9470-7258")))
Maintainer: Markus Matilainen <markus.matilainen@outlook.com>
Depends: tsBSS (>= 0.5.3), ICtest (>= 0.3-4), JADE (>= 2.0-2), BSSprep, ggplot2
Imports: xts, zoo
Description: Stationary subspace analysis (SSA) is a blind source separation (BSS) variant where stationary components are separated from non-stationary components. Several SSA methods for multivariate time series are provided here (Flumian et al. (2021); Hara et al. (2010) <doi:10.1007/978-3-642-17537-4_52>) along with functions to simulate time series with time-varying variance and autocovariance (Patilea and Raissi(2014) <doi:10.1080/01621459.2014.884504>).
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2021-04-09 12:45:49 UTC; manmat
Author: Markus Matilainen [cre, aut] (<https://orcid.org/0000-0002-5597-2670>), Lea Flumian [aut], Klaus Nordhausen [aut] (<https://orcid.org/0000-0002-3758-8501>), Sara Taskinen [aut] (<https://orcid.org/0000-0001-9470-7258>)
Repository: CRAN
Date/Publication: 2021-04-12 07:40:02 UTC

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New package spatPomp with initial version 0.21.0.0
Package: spatPomp
Title: Inference for Spatiotemporal Partially Observed Markov Processes
Version: 0.21.0.0
Date: 2021-04-09
Authors@R: c(person("Kidus", "Asfaw", email = "kasfaw@umich.edu", role = c("aut", "cre")), person("Aaron A.", "King", email = "kingaa@umich.edu", role = c("aut")), person("Edward", "Ionides", email = "ionides@umich.edu", role = c("aut")), person("Joonha", "Park", email = "j.park@ku.edu", role = c("ctb")), person("Allister", "Ho", email = "allistho@umich.edu", role = c("ctb")))
URL: https://github.com/kidusasfaw/spatPomp
Description: Inference on panel data using spatiotemporal partially-observed Markov process (SpatPOMP) models. To do so, it relies on and extends a number of facilities that the 'pomp' package provides for inference on time series data using partially-observed Markov process (POMP) models. Implemented methods include filtering and inference methods in Park and Ionides (2020) <doi:10.1007/s11222-020-09957-3>, Rebeschini and van Handel (2015) <doi:10.1214/14-AAP1061>, Evensen and van Leeuwen (1996) <doi:10.1029/94JC00572> and Ionides et al. (2021) <arXiv:2002.05211v2>. Pre-print statistical software article: Asfaw et al. (2021) <arXiv:2101.01157>.
SystemRequirements: For Windows users, Rtools (see https://cran.r-project.org/bin/windows/Rtools/).
License: GPL-3
Encoding: UTF-8
LazyData: true
Contact: kasfaw at umich dot edu
Depends: pomp (>= 3.3), R(>= 4.0.0), methods
LinkingTo: pomp
Suggests: testthat
Imports: doParallel (>= 1.0.11), parallel, foreach, dplyr, tidyr, stringr, ggplot2, abind, rlang, magrittr
Collate: 'spatPomp_class.R' 'abf.R' 'abfir.R' 'get_covariate_names.R' 'as_data_frame.R' 'as_spatPomp.R' 'bm.R' 'bpfilter.R' 'city_data_UK.R' 'skeleton_spec.R' 'safecall.R' 'rprocess_spec.R' 'pstop.R' 'undefined.R' 'spatPomp.R' 'dunit_measure.R' 'enkf.R' 'eunit_measure.R' 'gbm.R' 'girf.R' 'iter_filter.R' 'ienkf.R' 'igirf.R' 'iubf.R' 'loglik.R' 'lorenz.R' 'mcap.R' 'measles.R' 'measlesUK.R' 'munit_measure.R' 'package.R' 'pipe.R' 'plot.R' 'print.R' 'runit_measure.R' 'simulate.R' 'spatPomp_Csnippet.R' 'spatPomp_workhorses.R' 'unit_names.R' 'vec_dmeasure.R' 'vec_rmeasure.R' 'vunit_measure.R'
NeedsCompilation: yes
Packaged: 2021-04-09 20:10:06 UTC; kasfaw
Author: Kidus Asfaw [aut, cre], Aaron A. King [aut], Edward Ionides [aut], Joonha Park [ctb], Allister Ho [ctb]
Maintainer: Kidus Asfaw <kasfaw@umich.edu>
Repository: CRAN
Date/Publication: 2021-04-12 08:40:02 UTC

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Package sfsmisc updated to version 1.1-11 with previous version 1.1-10 dated 2021-03-29

Title: Utilities from 'Seminar fuer Statistik' ETH Zurich
Description: Useful utilities ['goodies'] from Seminar fuer Statistik ETH Zurich, some of which were ported from S-plus in the 1990s. For graphics, have pretty (Log-scale) axes, an enhanced Tukey-Anscombe plot, combining histogram and boxplot, 2d-residual plots, a 'tachoPlot()', pretty arrows, etc. For robustness, have a robust F test and robust range(). For system support, notably on Linux, provides 'Sys.*()' functions with more access to system and CPU information. Finally, miscellaneous utilities such as simple efficient prime numbers, integer codes, Duplicated(), toLatex.numeric() and is.whole().
Author: Martin Maechler [aut, cre] (<https://orcid.org/0000-0002-8685-9910>), Werner Stahel [ctb] (Functions: compresid2way(), f.robftest(), last(), p.scales(), p.dnorm()), Andreas Ruckstuhl [ctb] (Functions: p.arrows(), p.profileTraces(), p.res.2x()), Christian Keller [ctb] (Functions: histBxp(), p.tachoPlot()), Kjetil Halvorsen [ctb] (Functions: KSd(), ecdf.ksCI()), Alain Hauser [ctb] (Functions: cairoSwd(), is.whole(), toLatex.numeric()*), Christoph Buser [ctb] (to function Duplicated()), Lorenz Gygax [ctb] (to function p.res.2fact()), Bill Venables [ctb] (Functions: empty.dimnames(), primes()), Tony Plate [ctb] (to inv.seq()), Isabelle Fl<fc>ckiger [ctb], Marcel Wolbers [ctb], Markus Keller [ctb], Sandrine Dudoit [ctb], Jane Fridlyand [ctb], Greg Snow [ctb] (to loessDemo()), Henrik Aa. Nielsen [ctb] (to loessDemo()), Vincent Carey [ctb], Ben Bolker [ctb], Philippe Grosjean [ctb], Fr<e9>d<e9>ric Ibanez [ctb], Caterina Savi [ctb], Charles Geyer [ctb], Jens Oehlschl<e4>gel [ctb]
Maintainer: Martin Maechler <maechler@stat.math.ethz.ch>

Diff between sfsmisc versions 1.1-10 dated 2021-03-29 and 1.1-11 dated 2021-04-12

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Package RPostgres updated to version 1.3.2 with previous version 1.3.1 dated 2021-01-19

Title: 'Rcpp' Interface to 'PostgreSQL'
Description: Fully 'DBI'-compliant 'Rcpp'-backed interface to 'PostgreSQL' <https://www.postgresql.org/>, an open-source relational database.
Author: Hadley Wickham [aut], Jeroen Ooms [aut], Kirill Müller [aut, cre] (<https://orcid.org/0000-0002-1416-3412>), RStudio [cph], R Consortium [fnd], Tomoaki Nishiyama [ctb] (Code for encoding vectors into strings derived from RPostgreSQL)
Maintainer: Kirill Müller <krlmlr+r@mailbox.org>

Diff between RPostgres versions 1.3.1 dated 2021-01-19 and 1.3.2 dated 2021-04-12

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Package modelbased updated to version 0.6.0 with previous version 0.5.1 dated 2021-01-27

Title: Estimation of Model-Based Predictions, Contrasts and Means
Description: Implements a general interface for model-based estimations for a wide variety of models (see support list of insight; Lüdecke, Waggoner & Makowski (2019) <doi:10.21105/joss.01412>), used in the computation of marginal means, contrast analysis and predictions.
Author: Dominique Makowski [aut, cre] (<https://orcid.org/0000-0001-5375-9967>, @Dom_Makowski), Daniel Lüdecke [aut] (<https://orcid.org/0000-0002-8895-3206>), Mattan S. Ben-Shachar [aut] (<https://orcid.org/0000-0002-4287-4801>), Indrajeet Patil [ctb] (<https://orcid.org/0000-0003-1995-6531>, @patilindrajeets)
Maintainer: Dominique Makowski <dom.makowski@gmail.com>

Diff between modelbased versions 0.5.1 dated 2021-01-27 and 0.6.0 dated 2021-04-12

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New package misaem with initial version 1.0.1
Package: misaem
Title: Linear Regression and Logistic Regression with Missing Covariates
Version: 1.0.1
Date: 2021-04-07
Authors@R: c( person("Wei", "Jiang", role = "aut", email = "wei.jiang@polytechnique.edu"), person("Pavlo","Mozharovskyi", role = "ctb", email = "pavlo.mozharovskyi@telecom-paristech.fr"), person("Julie","Josse", role = c("aut","cre"), email = "julie.josserennes@gmail.com"), person("Imke", "Mayer", role = "ctb", email = "mayer.imke@gmail.com"))
Description: Estimate parameters of linear regression and logistic regression with missing covariates with missing data, perform model selection and prediction, using EM-type algorithms. Jiang W., Josse J., Lavielle M., TraumaBase Group (2020) <doi:10.1016/j.csda.2019.106907>.
Depends: R (>= 3.4.0)
Encoding: UTF-8
License: GPL-3
URL: https://github.com/julierennes/misaem
Imports: mvtnorm, stats, MASS, norm, methods
Suggests: knitr, rmarkdown, mice
LazyData: false
VignetteBuilder: knitr
NeedsCompilation: no
Author: Wei Jiang [aut], Pavlo Mozharovskyi [ctb], Julie Josse [aut, cre], Imke Mayer [ctb]
Maintainer: Julie Josse <julie.josserennes@gmail.com>
Repository: CRAN
Packaged: 2021-04-09 13:00:17 UTC; imke
Date/Publication: 2021-04-12 08:10:02 UTC

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New package mailmerge with initial version 0.2.0
Package: mailmerge
Title: Mail Merge Using R Markdown Documents and 'gmailr'
Version: 0.2.0
Authors@R: person(given = "Andrie", family = "de Vries", role = c("aut", "cre"), email = "apdevries@gmail.com")
Description: Mail merge using markdown documents and gmail. With this package you can parse markdown documents as the body of email, and the 'yaml' header to specify the subject line of the email. Any '{}' braces in the email will be encoded with 'glue::glue()'. You can preview the email in the RStudio viewer pane, and send (draft) email using 'gmailr'.
License: MIT + file LICENSE
URL: https://github.com/andrie/mailmerge
BugReports: https://github.com/andrie/mailmerge/issues
Depends: R (>= 3.3)
Imports: commonmark, gmailr, rstudioapi, googledrive, rmarkdown, dplyr, glue, googlesheets4, magrittr, withr, purrr, utils, fs, lifecycle, shiny, miniUI
Suggests: spelling, covr, knitr, testthat (>= 2.1.0), here
VignetteBuilder: knitr
RdMacros: lifecycle
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2021-04-09 11:51:18 UTC; apdev
Author: Andrie de Vries [aut, cre]
Maintainer: Andrie de Vries <apdevries@gmail.com>
Repository: CRAN
Date/Publication: 2021-04-12 07:20:03 UTC

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New package imabc with initial version 1.0.0
Package: imabc
Title: Incremental Mixture Approximate Bayesian Computation (IMABC)
Version: 1.0.0
Authors@R: c( person( given = "Christopher, E.", family = "Maerzluft", role = c("aut", "cre"), email = "cmaerzlu@rand.org" ), person( given = "Carolyn", family = "Rutter", role = c("aut", "cph"), email = "crutter@rand.org", comment = c(ORCID = "0000-0002-4396-8594") ), person( given = "Jonathan", family = "Ozik", role = c("aut"), email = "jozik@anl.gov", comment = c(ORCID = "0000-0002-3495-6735") ), person( given = "Nicholson", family = "Collier", role = c("aut"), email = "ncollier@anl.gov", comment = c(ORCID = "0000-0002-2376-4156") ) )
Description: Provides functionality to perform a likelihood-free method for estimating the parameters of complex models that results in a simulated sample from the posterior distribution of model parameters given targets. The method begins with a accept/reject approximate bayes computation (ABC) step applied to a sample of points from the prior distribution of model parameters. Accepted points result in model predictions that are within the initially specified tolerance intervals around the target points. The sample is iteratively updated by drawing additional points from a mixture of multivariate normal distributions, accepting points within tolerance intervals. As the algorithm proceeds, the acceptance intervals are narrowed. The algorithm returns a set of points and sampling weights that account for the adaptive sampling scheme. For more details see Rutter, Ozik, DeYoreo, and Collier (2018) <arXiv:1804.02090>.
License: GPL-3
URL: https://github.com/carolyner/imabc
BugReports: https://github.com/carolyner/imabc/issues
Depends: R (>= 3.2.0)
Imports: MASS, data.table, foreach, parallel, truncnorm, lhs, methods, stats, utils
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2021-04-09 17:26:40 UTC; cmaerzlu
Author: Christopher, E. Maerzluft [aut, cre], Carolyn Rutter [aut, cph] (<https://orcid.org/0000-0002-4396-8594>), Jonathan Ozik [aut] (<https://orcid.org/0000-0002-3495-6735>), Nicholson Collier [aut] (<https://orcid.org/0000-0002-2376-4156>)
Maintainer: "Christopher, E. Maerzluft" <cmaerzlu@rand.org>
Repository: CRAN
Date/Publication: 2021-04-12 08:30:03 UTC

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New package edl with initial version 1.0
Package: edl
Version: 1.0
Date: 2021-04-01
Title: Toolbox for Error-Driven Learning Simulations with Two-Layer Networks
Authors@R: c( person("Jacolien", "van Rij", email="j.c.van.rij@rug.nl", role = c("aut", "cre"), comment = c(ORCID = "0000-0001-7445-5647")), person("Dorothée", "Hoppe", email="d.b.hoppe@rug.nl", role = c("aut")))
Maintainer: Jacolien van Rij <j.c.van.rij@rug.nl>
Description: Error-driven learning (based on the Widrow & Hoff (1960)<https://isl.stanford.edu/~widrow/papers/c1960adaptiveswitching.pdf> learning rule, and essentially the same as Rescorla-Wagner's learning equations (Rescorla & Wagner, 1972, ISBN: 0390718017), which are also at the core of Naive Discrimination Learning, (Baayen et al, 2011, <doi:10.1037/a0023851>) can be used to explain bottom-up human learning (Hoppe et al, <doi:10.31234/osf.io/py5kd>), but is also at the core of artificial neural networks applications in the form of the Delta rule. This package provides a set of functions for building small-scale simulations to investigate the dynamics of error-driven learning and it's interaction with the structure of the input. For modeling error-driven learning using the Rescorla-Wagner equations the package 'ndl' (Baayen et al, 2011, <doi:10.1037/a0023851>) is available on CRAN at <https://cran.r-project.org/package=ndl>. However, the package currently only allows tracing of a cue-outcome combination, rather than returning the learned networks. To fill this gap, we implemented a new package with a few functions that facilitate inspection of the networks for small error driven learning simulations. Note that our functions are not optimized for training large data sets (no parallel processing), as they are intended for small scale simulations and course examples. (Consider the python implementation 'pyndl' <https://pyndl.readthedocs.io/en/latest/> for that purpose.)
License: GPL (>= 2)
LazyData: true
Depends: R (>= 4.0.0), plotfunctions (>= 1.4), data.table
VignetteBuilder: knitr
Suggests: knitr, rmarkdown
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2021-04-09 12:54:36 UTC; jacolien
Author: Jacolien van Rij [aut, cre] (<https://orcid.org/0000-0001-7445-5647>), Dorothée Hoppe [aut]
Repository: CRAN
Date/Publication: 2021-04-12 07:50:02 UTC

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New package accucor with initial version 0.2.4
Package: accucor
Title: Natural Abundance Correction of Mass Spectrometer Data
Version: 0.2.4
Authors@R: c( person(given = "Xiaoyang", family = "Su", email = "xs137@rwjms.rutgers.edu", role = "aut", comment = c(ORCID = "0000-0001-8081-1396")), person(given = "Lance", family = "Parsons", email = "lparsons@princeton.edu", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-8521-714X")), person(given = "Yujue", family = "Wang", email = "yw429@rwjms.rutgers.edu", role = "ctb", comment = c(ORCID = "0000-0001-7088-1729")), person(given = "Princeton University", role = "cph"))
Description: An isotope natural abundance correction algorithm that is needed especially for high resolution mass spectrometers. Supports correction for 13C, 2H and 15N.
URL: https://github.com/XiaoyangSu/AccuCor
BugReports: https://github.com/XiaoyangSu/AccuCor/issues
License: MIT + file LICENSE
Encoding: UTF-8
Imports: gsubfn, nnls, dplyr, stringr, readxl, readr, rlang, tibble, writexl, CHNOSZ
Suggests: testthat
NeedsCompilation: no
Packaged: 2021-04-10 01:30:33 UTC; lparsons
Author: Xiaoyang Su [aut] (<https://orcid.org/0000-0001-8081-1396>), Lance Parsons [aut, cre] (<https://orcid.org/0000-0002-8521-714X>), Yujue Wang [ctb] (<https://orcid.org/0000-0001-7088-1729>), Princeton University [cph]
Maintainer: Lance Parsons <lparsons@princeton.edu>
Repository: CRAN
Date/Publication: 2021-04-12 08:50:02 UTC

More information about accucor at CRAN
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Package tradestatistics (with last version 1.1) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2020-09-18 1.1

Permanent link
Package msae updated to version 0.1.3 with previous version 0.1.2 dated 2020-06-05

Title: Multivariate Fay Herriot Models for Small Area Estimation
Description: Implements multivariate Fay-Herriot models for small area estimation. It uses empirical best linear unbiased prediction (EBLUP) estimator. Multivariate models consider the correlation of several target variables and borrow strength from auxiliary variables to improve the effectiveness of a domain sample size. Models which accommodated by this package are univariate model with several target variables (model 0), multivariate model (model 1), autoregressive multivariate model (model 2), and heteroscedastic autoregressive multivariate model (model 3). Functions provide EBLUP estimators and mean squared error (MSE) estimator for each model. These models were developed by Roberto Benavent and Domingo Morales (2015) <doi:10.1016/j.csda.2015.07.013>.
Author: Novia Permatasari, Azka Ubaidillah
Maintainer: Novia Permatasari <16.9335@stis.ac.id>

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Package clinDR updated to version 2.3.5 with previous version 2.3 dated 2020-07-01

Title: Simulation and Analysis Tools for Clinical Dose Response Modeling
Description: Bayesian and ML Emax model fitting, graphics and simulation for clinical dose response. The summary data from the dose response meta-analyses in Thomas, Sweeney, and Somayaji (2014) <doi:10.1080/19466315.2014.924876> and Thomas and Roy (2016) <doi:10.1080/19466315.2016.1256229> Wu, Banerjee, Jin, Menon, Martin, and Heatherington(2017) <doi:10.1177/0962280216684528> are included in the package. The prior distributions for the Bayesian analyses default to the posterior predictive distributions derived from these references.
Author: Neal Thomas [aut, cre] (<https://orcid.org/0000-0002-1915-8487>), Jing Wu [aut], Mike K. Smith [aut]
Maintainer: Neal Thomas <snthomas99@gmail.com>

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Sun, 11 Apr 2021

Package wrGraph updated to version 1.2.3 with previous version 1.2.2 dated 2021-03-03

Title: Graphics in the Context of Analyzing High-Throughput Data
Description: Additional options for making graphics in the context of analyzing high-throughput data are available here. This includes automatic segmenting of the current device (eg window) to accommodate multiple new plots, automatic checking for optimal location of legends in plots, small histograms to insert as legends, histograms re-transforming axis labels to linear when plotting log2-transformed data, a violin-plot <doi:10.1080/00031305.1998.10480559> function for a wide variety of input-formats, principal components analysis (PCA) <doi:10.1080/14786440109462720> with bag-plots <doi:10.1080/00031305.1999.10474494> to highlight and compare the center areas for groups of samples, generic MA-plots (differential- versus average-value plots) <doi:10.1093/nar/30.4.e15>, staggered count plots and generation of mouse-over interactive html pages.
Author: Wolfgang Raffelsberger [aut, cre]
Maintainer: Wolfgang Raffelsberger <w.raffelsberger@gmail.com>

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Package RCzechia updated to version 1.7.0 with previous version 1.6.7 dated 2021-03-03

Title: Spatial Objects of the Czech Republic
Description: Administrative regions and other spatial objects of the Czech Republic.
Author: Jindra Lacko
Maintainer: Jindra Lacko <jindra.lacko@gmail.com>

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Package rapport updated to version 1.1 with previous version 1.0 dated 2015-11-18

Title: A Report Templating System
Description: Facilitating the creation of reproducible statistical report templates. Once created, rapport templates can be exported to various external formats (HTML, LaTeX, PDF, ODT etc.) with pandoc as the converter backend.
Author: Aleksandar Blagotić <alex@rapporter.net> and Gergely Daróczi <daroczig@rapporter.net>
Maintainer: Gergely Daróczi <daroczig@rapporter.net>

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Package flextable updated to version 0.6.5 with previous version 0.6.4 dated 2021-03-10

Title: Functions for Tabular Reporting
Description: Create pretty tables for 'HTML', 'PDF', 'Microsoft Word' and 'Microsoft PowerPoint' documents from 'R Markdown'. Functions are provided to let users create tables, modify and format their content. It also extends package 'officer' that does not contain any feature for customized tabular reporting.
Author: David Gohel [aut, cre], Clementine Jager [ctb], Quentin Fazilleau [ctb], Maxim Nazarov [ctb] (rmarkdown for docx output), Titouan Robert [ctb], Michael Barrowman [ctb] (inline footnotes), Atsushi Yasumoto [ctb] (support for bookdown cross reference), Paul Julian [ctb] (support for gam objects)
Maintainer: David Gohel <david.gohel@ardata.fr>

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Package DTDA updated to version 3.0 with previous version 2.1-2 dated 2020-02-19

Title: Doubly Truncated Data Analysis
Description: Implementation of different algorithms for analyzing randomly truncated data, one-sided and two-sided (i.e. doubly) truncated data. It also computes the kernel density and hazard functions using different bandwidth selectors. Several real data sets are included.
Author: Carla Moreira, Jacobo de Unã-Álvarez and Rosa Crujeiras
Maintainer: Carla Moreira <carlamgmm@gmail.com>

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Package idbr updated to version 1.0 with previous version 0.3 dated 2018-04-15

Title: R Interface to the US Census Bureau International Data Base API
Description: Use R to make requests to the US Census Bureau's International Data Base API. Results are returned as R data frames. For more information about the IDB API, visit <https://www.census.gov/data/developers/data-sets/international-database.html>.
Author: Kyle Walker [aut, cre]
Maintainer: Kyle Walker <kyle.walker@tcu.edu>

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Package rgugik updated to version 0.3.0 with previous version 0.2.1 dated 2020-12-15

Title: Search and Retrieve Spatial Data from 'GUGiK'
Description: Automatic open data acquisition from resources of Polish Head Office of Geodesy and Cartography ('Główny Urząd Geodezji i Kartografii') (<www.gugik.gov.pl>). Available datasets include various types of numeric, raster and vector data, such as orthophotomaps, digital elevation models (digital terrain models, digital surface model, point clouds), state register of borders, spatial databases, geometries of cadastral parcels, 3D models of buildings, and more. It is also possible to geocode addresses or objects using the geocodePL_get() function.
Author: Krzysztof Dyba [aut, cre] (<https://orcid.org/0000-0002-8614-3816>), Jakub Nowosad [aut] (<https://orcid.org/0000-0002-1057-3721>), Maciej Beręsewicz [ctb] (<https://orcid.org/0000-0002-8281-4301>), GUGiK [ctb] (source of the data)
Maintainer: Krzysztof Dyba <adres7@gmail.com>

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More information about rgugik at CRAN
Permanent link

Package RcppParallel updated to version 5.1.1 with previous version 5.0.3 dated 2021-02-24

Title: Parallel Programming Tools for 'Rcpp'
Description: High level functions for parallel programming with 'Rcpp'. For example, the 'parallelFor()' function can be used to convert the work of a standard serial "for" loop into a parallel one and the 'parallelReduce()' function can be used for accumulating aggregate or other values.
Author: JJ Allaire [aut], Romain Francois [aut, cph], Kevin Ushey [aut, cre], Gregory Vandenbrouck [aut], Marcus Geelnard [aut, cph] (TinyThread library, https://tinythreadpp.bitsnbites.eu/), Hamada S. Badr [ctb] (<https://orcid.org/0000-0002-9808-2344>), RStudio [cph], Intel [aut, cph] (Intel TBB library, https://www.threadingbuildingblocks.org/), Microsoft [cph]
Maintainer: Kevin Ushey <kevin@rstudio.com>

Diff between RcppParallel versions 5.0.3 dated 2021-02-24 and 5.1.1 dated 2021-04-11

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 RcppParallel-5.1.1/RcppParallel/DESCRIPTION                                                   |   26 
 RcppParallel-5.1.1/RcppParallel/MD5                                                           | 1220 ++++---
 RcppParallel-5.1.1/RcppParallel/NAMESPACE                                                     |    8 
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 RcppParallel-5.1.1/RcppParallel/R/flags.R                                                     |only
 RcppParallel-5.1.1/RcppParallel/R/hooks.R                                                     |   23 
 RcppParallel-5.1.1/RcppParallel/R/options.R                                                   |   82 
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 RcppParallel-5.1.1/RcppParallel/R/skeleton.R                                                  |   51 
 RcppParallel-5.1.1/RcppParallel/cleanup                                                       |    2 
 RcppParallel-5.1.1/RcppParallel/cleanup.win                                                   |    2 
 RcppParallel-5.1.1/RcppParallel/configure                                                     |    2 
 RcppParallel-5.1.1/RcppParallel/configure.win                                                 |    2 
 RcppParallel-5.1.1/RcppParallel/inst/NEWS                                                     |   23 
 RcppParallel-5.1.1/RcppParallel/inst/include/RcppParallel.h                                   |   18 
 RcppParallel-5.1.1/RcppParallel/inst/include/RcppParallel/Common.h                            |   31 
 RcppParallel-5.1.1/RcppParallel/inst/include/RcppParallel/RMatrix.h                           |    2 
 RcppParallel-5.1.1/RcppParallel/inst/include/RcppParallel/TBB.h                               |  202 +
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 RcppParallel-5.1.1/RcppParallel/inst/include/serial/tbb/parallel_for.h                        |    6 
 RcppParallel-5.1.1/RcppParallel/inst/include/serial/tbb/tbb_annotate.h                        |    6 
 RcppParallel-5.1.1/RcppParallel/inst/include/tbb/aggregator.h                                 |    6 
 RcppParallel-5.1.1/RcppParallel/inst/include/tbb/aligned_space.h                              |   10 
 RcppParallel-5.1.1/RcppParallel/inst/include/tbb/atomic.h                                     |   12 
 RcppParallel-5.1.1/RcppParallel/inst/include/tbb/blocked_range.h                              |   29 
 RcppParallel-5.1.1/RcppParallel/inst/include/tbb/blocked_range2d.h                            |   28 
 RcppParallel-5.1.1/RcppParallel/inst/include/tbb/blocked_range3d.h                            |   37 
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 RcppParallel-5.1.1/RcppParallel/inst/include/tbb/compat/tuple                                 |    6 
 RcppParallel-5.1.1/RcppParallel/inst/include/tbb/concurrent_hash_map.h                        |  371 +-
 RcppParallel-5.1.1/RcppParallel/inst/include/tbb/concurrent_lru_cache.h                       |   78 
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 RcppParallel-5.1.1/RcppParallel/inst/include/tbb/concurrent_priority_queue.h                  |   76 
 RcppParallel-5.1.1/RcppParallel/inst/include/tbb/concurrent_queue.h                           |   29 
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 RcppParallel-5.1.1/RcppParallel/inst/include/tbb/concurrent_unordered_map.h                   |  243 +
 RcppParallel-5.1.1/RcppParallel/inst/include/tbb/concurrent_unordered_set.h                   |  234 +
 RcppParallel-5.1.1/RcppParallel/inst/include/tbb/concurrent_vector.h                          |   95 
 RcppParallel-5.1.1/RcppParallel/inst/include/tbb/critical_section.h                           |    6 
 RcppParallel-5.1.1/RcppParallel/inst/include/tbb/enumerable_thread_specific.h                 |    6 
 RcppParallel-5.1.1/RcppParallel/inst/include/tbb/flow_graph.h                                 | 1717 ++++------
 RcppParallel-5.1.1/RcppParallel/inst/include/tbb/flow_graph_abstractions.h                    |   14 
 RcppParallel-5.1.1/RcppParallel/inst/include/tbb/flow_graph_opencl_node.h                     |  703 +---
 RcppParallel-5.1.1/RcppParallel/inst/include/tbb/global_control.h                             |   18 
 RcppParallel-5.1.1/RcppParallel/inst/include/tbb/index.html                                   |    2 
 RcppParallel-5.1.1/RcppParallel/inst/include/tbb/internal/_aggregator_impl.h                  |    6 
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 RcppParallel-5.1.1/RcppParallel/inst/include/tbb/internal/_concurrent_unordered_impl.h        |  257 +
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 RcppParallel-5.1.1/RcppParallel/inst/include/tbb/internal/_flow_graph_impl.h                  | 1152 ++----
 RcppParallel-5.1.1/RcppParallel/inst/include/tbb/internal/_flow_graph_indexer_impl.h          |   76 
 RcppParallel-5.1.1/RcppParallel/inst/include/tbb/internal/_flow_graph_item_buffer_impl.h      |    8 
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 RcppParallel-5.1.1/RcppParallel/inst/include/tbb/internal/_flow_graph_node_impl.h             |  390 +-
 RcppParallel-5.1.1/RcppParallel/inst/include/tbb/internal/_flow_graph_streaming_node.h        |    6 
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 RcppParallel-5.1.1/RcppParallel/inst/include/tbb/internal/_flow_graph_types_impl.h            |   22 
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 RcppParallel-5.1.1/RcppParallel/inst/include/tbb/internal/_range_iterator.h                   |    6 
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 RcppParallel-5.1.1/RcppParallel/inst/include/tbb/internal/_tbb_strings.h                      |   19 
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 RcppParallel-5.1.1/RcppParallel/inst/include/tbb/internal/_tbb_windef.h                       |    8 
 RcppParallel-5.1.1/RcppParallel/inst/include/tbb/internal/_template_helpers.h                 |  119 
 RcppParallel-5.1.1/RcppParallel/inst/include/tbb/internal/_x86_eliding_mutex_impl.h           |    6 
 RcppParallel-5.1.1/RcppParallel/inst/include/tbb/internal/_x86_rtm_rw_mutex_impl.h            |   16 
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 RcppParallel-5.1.1/RcppParallel/inst/include/tbb/parallel_for_each.h                          |    6 
 RcppParallel-5.1.1/RcppParallel/inst/include/tbb/parallel_invoke.h                            |   31 
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Package rayshader updated to version 0.24.5 with previous version 0.19.2 dated 2020-08-02

Title: Create Maps and Visualize Data in 2D and 3D
Description: Uses a combination of raytracing and multiple hill shading methods to produce 2D and 3D data visualizations and maps. Includes water detection and layering functions, programmable color palette generation, several built-in textures for hill shading, 2D and 3D plotting options, a built-in path tracer, 'Wavefront' OBJ file export, and the ability to save 3D visualizations to a 3D printable format.
Author: Tyler Morgan-Wall
Maintainer: Tyler Morgan-Wall <tylermw@gmail.com>

Diff between rayshader versions 0.19.2 dated 2020-08-02 and 0.24.5 dated 2021-04-11

 DESCRIPTION                       |   15 ++--
 MD5                               |  100 ++++++++++++++++-----------
 NAMESPACE                         |    7 +
 R/add_overlay.R                   |   11 +++
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Package RSQLite updated to version 2.2.6 with previous version 2.2.5 dated 2021-03-27

Title: 'SQLite' Interface for R
Description: Embeds the 'SQLite' database engine in R and provides an interface compliant with the 'DBI' package. The source for the 'SQLite' engine is included.
Author: Kirill Müller [aut, cre] (<https://orcid.org/0000-0002-1416-3412>), Hadley Wickham [aut], David A. James [aut], Seth Falcon [aut], SQLite Authors [ctb] (for the included SQLite sources), Liam Healy [ctb] (for the included SQLite sources), R Consortium [fnd], RStudio [cph]
Maintainer: Kirill Müller <krlmlr+r@mailbox.org>

Diff between RSQLite versions 2.2.5 dated 2021-03-27 and 2.2.6 dated 2021-04-11

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Package FuzzyLP updated to version 0.1-6 with previous version 0.1-5 dated 2017-08-17

Title: Fuzzy Linear Programming
Description: Provides methods to solve Fuzzy Linear Programming Problems with fuzzy constraints (following different approaches proposed by Verdegay, Zimmermann, Werners and Tanaka), fuzzy costs, and fuzzy technological matrix.
Author: Carlos A. Rabelo [aut, cre], Pablo J. Villacorta [ctb]
Maintainer: Carlos A. Rabelo <carabelo@gmail.com>

Diff between FuzzyLP versions 0.1-5 dated 2017-08-17 and 0.1-6 dated 2021-04-11

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Package Rmpfr updated to version 0.8-4 with previous version 0.8-3 dated 2021-03-23

Title: R MPFR - Multiple Precision Floating-Point Reliable
Description: Arithmetic (via S4 classes and methods) for arbitrary precision floating point numbers, including transcendental ("special") functions. To this end, the package interfaces to the 'LGPL' licensed 'MPFR' (Multiple Precision Floating-Point Reliable) Library which itself is based on the 'GMP' (GNU Multiple Precision) Library.
Author: Martin Maechler [aut, cre] (<https://orcid.org/0000-0002-8685-9910>), Richard M. Heiberger [ctb] (formatHex(), *Bin, *Dec), John C. Nash [ctb] (hjkMpfr(), origin of unirootR()), Hans W. Borchers [ctb] (optimizeR(*, "GoldenRatio"); origin of hjkMpfr())
Maintainer: Martin Maechler <maechler@stat.math.ethz.ch>

Diff between Rmpfr versions 0.8-3 dated 2021-03-23 and 0.8-4 dated 2021-04-11

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Package OpenSpecy updated to version 0.9.1 with previous version 0.9.0 dated 2021-04-09

Title: Analyze, Process, Identify, and Share, Raman and (FT)IR Spectra
Description: Raman and (FT)IR spectral analysis tool for plastic particles and other environmental samples. Supported features include reading spectral data files (.asp, .csv, .jdx, .spc, .spa, .0), Savitzky-Golay smoothing of spectral intensities with smooth_intens(), correcting background noise with subtr_bg() in accordance with Zhao et al. (2007) <doi:10.1366/000370207782597003>, and identifying spectra using an onboard reference library (Cowger et al. 2020, <doi:10.1177/0003702820929064>). Analyzed spectra can be shared with the Open Specy community. A Shiny app is available via run_app() or online at <https://wincowger.shinyapps.io/OpenSpecy/>.
Author: Win Cowger [cre, aut] (<https://orcid.org/0000-0001-9226-3104>), Zacharias Steinmetz [aut] (<https://orcid.org/0000-0001-6675-5033>), Andrew Gray [ctb] (<https://orcid.org/0000-0003-2252-7367>), Hannah Hapich [ctb] (<https://orcid.org/0000-0003-0000-6632>), Jennifer Lynch [ctb, dtc] (<https://orcid.org/0000-0003-3572-8782>), Hannah De Frond [ctb, dtc] (<https://orcid.org/0000-0003-1199-0727>), Keenan Munno [ctb, dtc] (<https://orcid.org/0000-0003-2916-5944>), Chelsea Rochman [ctb, dtc] (<https://orcid.org/0000-0002-7624-711X>), Sebastian Primpke [ctb, dtc] (<https://orcid.org/0000-0001-7633-8524>), Orestis Herodotou [ctb, dtc]
Maintainer: Win Cowger <wincowger@gmail.com>

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Package GauPro updated to version 0.2.4 with previous version 0.2.3 dated 2021-03-28

Title: Gaussian Process Fitting
Description: Fits a Gaussian process model to data. Gaussian processes are commonly used in computer experiments to fit an interpolating model. The model is stored as an 'R6' object and can be easily updated with new data. There are options to run in parallel (not for Windows), and 'Rcpp' has been used to speed up calculations. Other R packages that perform similar calculations include 'laGP', 'DiceKriging', 'GPfit', and 'mlegp'.
Author: Collin Erickson
Maintainer: Collin Erickson <collinberickson@gmail.com>

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Package disaggR updated to version 0.2.0.3 with previous version 0.2.0.2 dated 2021-04-10

Title: Two-Steps Benchmarks for Time Series Disaggregation
Description: The twoStepsBenchmark() and threeRuleSmooth() functions allow you to disaggregate a low-frequency time-serie with time-series of higher frequency, using the French National Accounts methodology. The aggregated sum of the resulting time-serie is strictly equal to the low-frequency serie within the benchmarking window. Typically, the low-frequency serie is an annual one, unknown for the last year, and the high frequency one is either quarterly or mensual. See "Methodology of quarterly national accounts", Insee Méthodes N°126, by Insee (2012, ISBN:978-2-11-068613-8).
Author: Arnaud Feldmann [aut, cre] (<https://orcid.org/0000-0003-0109-7505>), Franck Arnaud [ctb] (barplot base graphics method for the mts class), Institut national de la statistique et des études économiques [cph] (https://www.insee.fr/)
Maintainer: Arnaud Feldmann <arnaud.feldmann@insee.fr>

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Package bodenmiller updated to version 0.1.1 with previous version 0.1 dated 2015-12-18

Title: Profiling of Peripheral Blood Mononuclear Cells using CyTOF
Description: This data package contains a subset of the Bodenmiller et al, Nat Biotech 2012 dataset for testing single cell, high dimensional analysis and visualization methods.
Author: Yann Abraham [aut, cre], Bernd Bodenmiller [aut]
Maintainer: Yann Abraham <yann.abraham@gmail.com>

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Package bayesImageS updated to version 0.6-1 with previous version 0.6-0 dated 2019-01-04

Title: Bayesian Methods for Image Segmentation using a Potts Model
Description: Various algorithms for segmentation of 2D and 3D images, such as computed tomography and satellite remote sensing. This package implements Bayesian image analysis using the hidden Potts model with external field prior of Moores et al. (2015) <doi:10.1016/j.csda.2014.12.001>. Latent labels are sampled using chequerboard updating or Swendsen-Wang. Algorithms for the smoothing parameter include pseudolikelihood, path sampling, the exchange algorithm, approximate Bayesian computation (ABC-MCMC and ABC-SMC), and the parametric functional approximate Bayesian (PFAB) algorithm. Refer to <doi:10.1007/978-3-030-42553-1_6> for an overview and also to <doi:10.1007/s11222-014-9525-6> and <doi:10.1214/18-BA1130> for further details of specific algorithms.
Author: Matt Moores [aut, cre] (<https://orcid.org/0000-0003-4531-3572>), Dai Feng [ctb], Kerrie Mengersen [aut, ths] (<https://orcid.org/0000-0001-8625-9168>)
Maintainer: Matt Moores <mmoores@gmail.com>

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Package tsrobprep updated to version 0.1.0 with previous version 0.0.0.2 dated 2020-11-05

Title: Robust Preprocessing of Time Series Data
Description: Methods for handling the missing values outliers are introduced in this package. The recognized missing values and outliers are replaced using a model-based approach. The model may consist of both autoregressive components and external regressors. The methods work robust and efficient, and they are fully tunable. The primary motivation for writing the package was preprocessing of the energy systems data, e.g. power plant production time series, but the package could be used with any time series data.
Author: Michał Narajewski [aut, cre] (<https://orcid.org/0000-0002-3115-0162>), Florian Ziel [aut] (<https://orcid.org/0000-0002-2974-2660>), Jens Kley-Holsteg [ctb]
Maintainer: Michał Narajewski <michal.narajewski@uni-due.de>

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Package gjam updated to version 2.3.6 with previous version 2.3.5 dated 2021-03-29

Title: Generalized Joint Attribute Modeling
Description: Analyzes joint attribute data (e.g., species abundance) that are combinations of continuous and discrete data with Gibbs sampling. Full model and computation details are described in Clark et al. (2018) <doi:10.1002/ecm.1241>.
Author: James S. Clark, Daniel Taylor-Rodriquez
Maintainer: James S. Clark <jimclark@duke.edu>

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Package bruceR updated to version 0.6.2 with previous version 0.6.0 dated 2021-03-19

Title: Broadly Useful Convenient and Efficient R Functions
Description: Broadly useful convenient and efficient R functions that bring users concise and elegant R data analyses. This package includes easy-to-use functions for (1) basic R programming (e.g., set working directory to where the current file is, print strings with rich formats and colors); (2) multivariate computation (e.g., compute scale sums/means/... with reverse scoring); (3) reliability and factor analyses; (4) descriptive statistics and correlation analyses; (5) multi-factor analysis of variance (ANOVA), simple-effect analysis, and post-hoc multiple comparison; (6) tidy report of regression models (to Console and to Word); (7) mediation and moderation analyses; and (8) additional toolbox for statistics and graphics.
Author: Han-Wu-Shuang Bao [aut, cre]
Maintainer: Han-Wu-Shuang Bao <baohws@foxmail.com>

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Package raincpc (with last version 1.1.0) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2020-01-31 1.1.0
2014-08-29 0.4
2014-08-26 0.3
2014-06-25 0.2
2013-11-26 0.1

Permanent link
Package bivariate updated to version 0.7.0 with previous version 0.6.0 dated 2020-09-13

Title: Bivariate Probability Distributions
Description: Convenience functions for plotting/evaluating bivariate (uniform, binomial, Poisson, categorical, normal and bimodal) distributions, trivariate (normal and Dirichlet) distributions, bivariate kernel density estimates and bivariate empirical cumulative distribution functions. Supports their probability mass functions (PMFs), probability density functions (PDFs) and cumulative distribution functions (CDFs), mostly where applicable.
Author: Abby Spurdle
Maintainer: Abby Spurdle <spurdle.a@gmail.com>

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Package aRbs (with last version 0.1.2) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2021-03-31 0.1.2
2021-03-27 0.1.1
2021-01-04 0.1.0
2020-11-24 0.0.1

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Package rENA (with last version 0.2.1.2) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2020-10-11 0.2.1.2
2020-10-02 0.2.1.1
2020-09-16 0.2.1.0
2019-12-17 0.2.0.1
2019-10-07 0.2.0.0
2019-05-09 0.1.6.1
2019-02-07 0.1.6
2018-06-18 0.1.5
2018-04-19 0.1.4
2018-01-26 0.1.3
2018-01-09 0.1.2
2017-12-05 0.1.1

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Package XLConnect updated to version 1.0.3 with previous version 1.0.2 dated 2021-02-15

Title: Excel Connector for R
Description: Provides comprehensive functionality to read, write and format Excel data.
Author: Mirai Solutions GmbH [aut], Martin Studer [cre], The Apache Software Foundation [ctb, cph] (Apache POI), Graph Builder [ctb, cph] (Curvesapi Java library)
Maintainer: Martin Studer <martin.studer@mirai-solutions.com>

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Package SlidingWindows updated to version 0.2.0 with previous version 0.1.9 dated 2021-01-06

Title: Methods for Time Series Analysis
Description: A collection of functions to perform Detrended Fluctuation Analysis (DFA exponent), GUEDES et al. (2019) <doi:10.1016/j.physa.2019.04.132> , Detrended cross-correlation coefficient (RHODCCA), GUEDES & ZEBENDE (2019) <doi:10.1016/j.physa.2019.121286>, DMCA cross-correlation coefficient and Detrended multiple cross-correlation coefficient (DMC), GUEDES & SILVA-FILHO & ZEBENDE (2018) <doi:10.1016/j.physa.2021.125990>, both with sliding windows approach.
Author: Everaldo Freitas Guedes [aut, cre] (<https://orcid.org/0000-0002-2986-7367>), Ivan Costa da Cunha Lima [aut] (<https://orcid.org/0000-0002-4525-2346>), Gilney Figueira Zebende [aut] (<https://orcid.org/0000-0003-2420-9805>), Aloísio Machado Silva-Filho [aut] (<https://orcid.org/0000-0001-8250-1527>)
Maintainer: Everaldo Freitas Guedes <efgestatistico@gmail.com>

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Package numbers updated to version 0.8-1 with previous version 0.7-5 dated 2019-11-26

Title: Number-Theoretic Functions
Description: Provides number-theoretic functions for factorization, prime numbers, twin primes, primitive roots, modular logarithm and inverses, extended GCD, Farey series and continuous fractions. Includes Legendre and Jacobi symbols, some divisor functions, Euler's Phi function, etc.
Author: Hans Werner Borchers
Maintainer: Hans W. Borchers <hwborchers@googlemail.com>

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Package betapart updated to version 1.5.4 with previous version 1.5.3 dated 2021-03-05

Title: Partitioning Beta Diversity into Turnover and Nestedness Components
Description: Functions to compute pair-wise dissimilarities (distance matrices) and multiple-site dissimilarities, separating the turnover and nestedness-resultant components of taxonomic (incidence and abundance based), functional and phylogenetic beta diversity.
Author: Andres Baselga [aut, cre], David Orme [aut], Sebastien Villeger [aut], Julien De Bortoli [aut], Fabien Leprieur [aut], Maxime Logez [aut], Renato Henriques-Silva [ctb]
Maintainer: Andres Baselga <andres.baselga@usc.es>

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Sat, 10 Apr 2021

Package CME.assistant (with last version 1.1.4) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2021-03-22 1.1.4
2021-02-26 1.1.3
2020-12-15 1.1.1
2020-11-25 1.1.0

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Package lidaRtRee updated to version 3.0.3 with previous version 3.0.2 dated 2021-04-10

Title: Forest Analysis with Airborne Laser Scanning (LiDAR) Data
Description: Provides functions for forest analysis using airborne laser scanning (LiDAR remote sensing) data: tree detection (method 1 in Eysn et al. (2015) <doi:10.3390/f6051721>) and segmentation; forest parameters estimation and mapping with the area-based approach. It includes complementary steps for forest mapping: co-registration of field plots with LiDAR data (Monnet and Mermin (2014) <doi:10.3390/f5092307>); extraction of both physical (gaps, edges, trees) and statistical features from LiDAR data useful for e.g. habitat suitability modeling (Glad et al. (2020) <doi:10.1002/rse2.117>); model calibration with ground reference, and maps export.
Author: Jean-Matthieu Monnet [aut, cre]
Maintainer: Jean-Matthieu Monnet <jean-matthieu.monnet@inrae.fr>

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Package NMOF updated to version 2.4-1 with previous version 2.4-0 dated 2021-04-01

Title: Numerical Methods and Optimization in Finance
Description: Functions, examples and data from the first and the second edition of "Numerical Methods and Optimization in Finance" by M. Gilli, D. Maringer and E. Schumann (2019, ISBN:978-0128150658). The package provides implementations of optimisation heuristics (Differential Evolution, Genetic Algorithms, Particle Swarm Optimisation, Simulated Annealing and Threshold Accepting), and other optimisation tools, such as grid search and greedy search. There are also functions for the valuation of financial instruments such as bonds and options, for portfolio selection and functions that help with stochastic simulations.
Author: Enrico Schumann [aut, cre] (<https://orcid.org/0000-0001-7601-6576>)
Maintainer: Enrico Schumann <es@enricoschumann.net>

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Package jetpack updated to version 0.5.0 with previous version 0.4.3 dated 2019-07-01

Title: A Friendly Package Manager
Description: Manage project dependencies from your DESCRIPTION file. Create a reproducible virtual environment with minimal additional files in your project. Provides tools to add, remove, and update dependencies as well as install existing dependencies with a single function.
Author: Andrew Kane [aut, cre]
Maintainer: Andrew Kane <andrew@chartkick.com>

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Package geysertimes updated to version 0.1.5 with previous version 0.1.2 dated 2021-01-18

Title: Geyser Data from GeyserTimes.org
Description: Download geyser eruption and observation data from the GeyserTimes site (<https://geysertimes.org>) and optionally store it locally. The vignette shows a simple analysis of downloading, accessing, and summarizing the data.
Author: Stephen Kaluzny [aut, cre]
Maintainer: Stephen Kaluzny <spkaluzny@gmail.com>

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Package nflseedR updated to version 1.0.2 with previous version 1.0.1 dated 2021-03-31

Title: Functions to Efficiently Simulate and Evaluate NFL Seasons
Description: A set of functions to simulate National Football League seasons including the sophisticated tie-breaking procedures.
Author: Lee Sharpe [aut, cph], Sebastian Carl [cre, aut]
Maintainer: Sebastian Carl <mrcaseb@gmail.com>

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Package tidytext updated to version 0.3.1 with previous version 0.3.0 dated 2021-01-06

Title: Text Mining using 'dplyr', 'ggplot2', and Other Tidy Tools
Description: Using tidy data principles can make many text mining tasks easier, more effective, and consistent with tools already in wide use. Much of the infrastructure needed for text mining with tidy data frames already exists in packages like 'dplyr', 'broom', 'tidyr', and 'ggplot2'. In this package, we provide functions and supporting data sets to allow conversion of text to and from tidy formats, and to switch seamlessly between tidy tools and existing text mining packages.
Author: Gabriela De Queiroz [ctb], Colin Fay [ctb] (<https://orcid.org/0000-0001-7343-1846>), Emil Hvitfeldt [ctb], Os Keyes [ctb] (<https://orcid.org/0000-0001-5196-609X>), Kanishka Misra [ctb], Tim Mastny [ctb], Jeff Erickson [ctb], David Robinson [aut], Julia Silge [aut, cre] (<https://orcid.org/0000-0002-3671-836X>)
Maintainer: Julia Silge <julia.silge@gmail.com>

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Package shotGroups updated to version 0.8.1 with previous version 0.8 dated 2021-01-19

Title: Analyze Shot Group Data
Description: Analyzes shooting data with respect to group shape, precision, and accuracy. This includes graphical methods, descriptive statistics, and inference tests using standard, but also non-parametric and robust statistical methods. Implements distributions for radial error in bivariate normal variables. Works with files exported by 'OnTarget PC/TDS', 'Silver Mountain' e-target, 'ShotMarker' e-target, or 'Taran', as well as with custom data files in text format. Supports inference from range statistics like extreme spread. Includes a set of web-based graphical user interfaces.
Author: Daniel Wollschlaeger
Maintainer: Daniel Wollschlaeger <dwoll@kuci.org>

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Package bigreadr updated to version 0.2.4 with previous version 0.2.2 dated 2021-02-17

Title: Read Large Text Files
Description: Read large text files by splitting them in smaller files. Package 'bigreadr' also provides some convenient wrappers around fread() and fwrite() from package 'data.table'.
Author: Florian Privé [aut, cre]
Maintainer: Florian Privé <florian.prive.21@gmail.com>

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Package cNORM updated to version 2.0.3 with previous version 2.0.2 dated 2021-01-30

Title: Continuous Norming
Description: Conventional methods for producing standard scores in psychometrics or biometrics are often plagued with "jumps" or "gaps" (i.e., discontinuities) in norm tables and low confidence for assessing extreme scores. The continuous norming method introduced by A. Lenhard et al. (2016, <doi:10.1177/1073191116656437>; 2019, <doi:10.1371/journal.pone.0222279>) and generates continuous test norm scores on the basis of the raw data from standardization samples, without requiring assumptions about the distribution of the raw data: Norm scores are directly established from raw data by modeling the latter ones as a function of both percentile scores and an explanatory variable (e.g., age). The method minimizes bias arising from sampling and measurement error, while handling marked deviations from normality, addressing bottom or ceiling effects and capturing almost all of the variance in the original norm data sample. An online demonstration is available via <https://cnorm.shinyapps.io/cNORM/>.
Author: Wolfgang Lenhard [cre, aut] (<https://orcid.org/0000-0002-8184-6889>), Alexandra Lenhard [aut], Sebastian Gary [aut]
Maintainer: Wolfgang Lenhard <wolfgang.lenhard@uni-wuerzburg.de>

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Package vistime updated to version 1.2.1 with previous version 1.2.0 dated 2021-02-19

Title: Pretty Timelines in R
Description: A library for creating time based charts, like Gantt or timelines. Possible outputs include 'ggplot2' diagrams, 'plotly.js' graphs, 'Highcharts.js' widgets and data.frames. Results can be used in the 'RStudio' viewer pane, in 'RMarkdown' documents or in Shiny apps. In the interactive outputs created by vistime() and hc_vistime(), you can interact with the plot using mouse hover or zoom.
Author: Sandro Raabe [aut, cre]
Maintainer: Sandro Raabe <sa.ra.online@posteo.de>

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 vistime-1.2.1/vistime/vignettes/hc_vistime-vignette.Rmd |   15 +-
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Package ingredients updated to version 2.2.0 with previous version 2.0.1 dated 2021-02-05

Title: Effects and Importances of Model Ingredients
Description: Collection of tools for assessment of feature importance and feature effects. Key functions are: feature_importance() for assessment of global level feature importance, ceteris_paribus() for calculation of the what-if plots, partial_dependence() for partial dependence plots, conditional_dependence() for conditional dependence plots, accumulated_dependence() for accumulated local effects plots, aggregate_profiles() and cluster_profiles() for aggregation of ceteris paribus profiles, generic print() and plot() for better usability of selected explainers, generic plotD3() for interactive, D3 based explanations, and generic describe() for explanations in natural language. The package 'ingredients' is a part of the 'DrWhy.AI' universe (Biecek 2018) <arXiv:1806.08915>.
Author: Przemyslaw Biecek [aut, cre] (<https://orcid.org/0000-0001-8423-1823>), Hubert Baniecki [aut] (<https://orcid.org/0000-0001-6661-5364>), Adam Izdebski [ctb]
Maintainer: Przemyslaw Biecek <przemyslaw.biecek@gmail.com>

Diff between ingredients versions 2.0.1 dated 2021-02-05 and 2.2.0 dated 2021-04-10

 DESCRIPTION                               |    7 -
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 NEWS.md                                   |    4 +
 R/accumulated_dependence.R                |    6 -
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 R/calculate_variable_profile.R            |    2 
 R/ceteris_paribus.R                       |    4 -
 R/ceteris_paribus_2d.R                    |    2 
 R/cluster_profiles.R                      |    4 -
 R/conditional_dependence.R                |    6 -
 R/describe_feature_importance.R           |    2 
 R/feature_importance.R                    |    8 +-
 R/partial_dependence.R                    |    6 -
 R/plotD3_aggregated_profiles.R            |    6 +
 R/plotD3_ceteris_paribus.R                |    7 +
 R/plotD3_feature_importance.R             |    2 
 R/plot_aggregated_profiles.R              |    2 
 R/plot_ceteris_paribus.R                  |    4 -
 R/plot_ceteris_paribus_2d.R               |    2 
 R/plot_ceteris_paribus_oscillations.R     |    2 
 R/plot_feature_importance.R               |    4 -
 R/print_ceteris_paribus.R                 |   16 +++-
 R/print_feature_importance.R              |    2 
 R/select_neighbours.R                     |    4 -
 R/select_sample.R                         |    2 
 R/show_aggregated_profiles.R              |    2 
 R/show_observations.R                     |    4 -
 R/show_profiles.R                         |    2 
 R/show_residuals.R                        |    2 
 R/show_rugs.R                             |   19 ++++
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 man/plotD3_feature_importance.Rd          |    2 
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 man/print.feature_importance_explainer.Rd |    2 
 man/select_neighbours.Rd                  |    2 
 man/show_aggregated_profiles.Rd           |    2 
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 man/show_profiles.Rd                      |    2 
 man/show_residuals.Rd                     |    2 
 man/show_rugs.Rd                          |   19 ++++
 61 files changed, 282 insertions(+), 215 deletions(-)

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New package WaterML with initial version 1.9.8
Package: WaterML
Title: Fetch and Analyze Data from 'WaterML' and 'WaterOneFlow' Web Services
Version: 1.9.8
Authors@R: person("Jiri","Kadlec", email="jirikadlec2@gmail.com", role=c("aut", "cre"))
Description: Lets you connect to any of the 'Consortium of Universities for the Advancement of Hydrological Science, Inc.' ('CUAHSI') Water Data Center 'WaterOneFlow' web services and read any 'WaterML' time series data file. To see list of available web services, see <http://hiscentral.cuahsi.org>. All versions of 'WaterML' (1.0, 1.1 and 2.0) and both types of the web service protocol ('SOAP' and 'REST') are supported. The package has six data download functions: GetServices(): show all public web services from the HIS Central Catalog. HISCentral_GetSites() and HISCentral_GetSeriesCatalog(): search for sites or time series from the HIS Central catalog based on geographic bounding box, server, or keyword. GetVariables(): Show a data.frame with all variables on the server. GetSites(): Show a data.frame with all sites on the server. GetSiteInfo(): Show what variables, methods and quality control levels are available at the specific site. GetValues(): Given a site code, variable code, start time and end time, fetch a data.frame of all the observation time series data values. The GetValues() function can also parse 'WaterML' data from a custom URL or from a local file.
License: MIT + file LICENSE
Depends: R (>= 3.0)
Imports: stats, XML, httr
URL: https://github.com/jirikadlec2/waterml
Suggests: knitr, markdown, qpdf, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-04-09 09:40:28 UTC; Admin
Author: Jiri Kadlec [aut, cre]
Maintainer: Jiri Kadlec <jirikadlec2@gmail.com>
Repository: CRAN
Date/Publication: 2021-04-10 08:10:10 UTC

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New package tukeyGH with initial version 1.0.0
Package: tukeyGH
Title: Tukey's g-and-h Probability Distribution
Version: 1.0.0
Authors@R: c( person('Flavio', 'Santi', email = 'flavio.santi@univr.it', role = c('cre', 'aut'), comment = c(ORCID = "0000-0002-2014-1981")), person('Marco', 'Bee', email = 'marco.bee@unitn.it', role = c('aut'), comment = c(ORCID = "0000-0002-9579-3650")), person('Julien', 'Hambuckers', email = 'jhambuckers@uliege.be', role = c('aut'), comment = c(ORCID = "0000-0003-4567-5477")), person('Luca', 'Trapin', email = 'luca.trapin@unibo.it', role = c('aut'), comment = c(ORCID = "0000-0001-8613-0962")))
Author: Flavio Santi [cre, aut] (<https://orcid.org/0000-0002-2014-1981>), Marco Bee [aut] (<https://orcid.org/0000-0002-9579-3650>), Julien Hambuckers [aut] (<https://orcid.org/0000-0003-4567-5477>), Luca Trapin [aut] (<https://orcid.org/0000-0001-8613-0962>)
Maintainer: Flavio Santi <flavio.santi@univr.it>
URL: https://github.com/f-santi/tukeyGH
BugReports: https://github.com/f-santi/tukeyGH/issues
Description: It provides distribution, density and quantile functions of the Tukey's g-and-h probability distribution, as well as functions for random number generation, parameter estimation and testing.
Depends: R (>= 4.0)
Imports: magrittr (>= 2.0.0), minqa, Rdpack, rootSolve (>= 1.8.2.1)
Suggests: testthat (>= 3.0.0)
License: GPL (>= 3)
LazyData: true
NeedsCompilation: no
Encoding: UTF-8
Repository: CRAN
RdMacros: Rdpack
Packaged: 2021-04-09 09:51:56 UTC; flavio
Date/Publication: 2021-04-10 08:10:02 UTC

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New package lidaRtRee with initial version 3.0.2
Package: lidaRtRee
Version: 3.0.2
Title: Forest Analysis with Airborne Laser Scanning (LiDAR) Data
Date: 2021-04-01
Author: Jean-Matthieu Monnet [aut, cre]
Maintainer: Jean-Matthieu Monnet <jean-matthieu.monnet@inrae.fr>
Description: Provides functions for forest analysis using airborne laser scanning (LiDAR remote sensing) data: tree detection (method 1 in Eysn et al. (2015) <doi:10.3390/f6051721>) and segmentation; forest parameters estimation and mapping with the area-based approach. It includes complementary steps for forest mapping: co-registration of field plots with LiDAR data (Monnet and Mermin (2014) <doi:10.3390/f5092307>); extraction of both physical (gaps, edges, trees) and statistical features from LiDAR data useful for e.g. habitat suitability modeling (Glad et al. (2020) <doi:10.1002/rse2.117>); model calibration with ground reference, and maps export.
URL: https://gitlab.irstea.fr/jean-matthieu.monnet/lidaRtRee
BugReports: https://gitlab.irstea.fr/jean-matthieu.monnet/lidaRtRee/-/issues
Depends: R (>= 3.5.0)
Imports: graphics, stats, methods, grDevices, sp, raster, imager, leaps, gvlma, car, reldist, lidR (>= 3.1.0)
License: GPL-3
LazyData: TRUE
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2021-04-09 10:40:34 UTC; jean-matthieu
Repository: CRAN
Date/Publication: 2021-04-10 08:10:06 UTC

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Package broom.helpers updated to version 1.3.0 with previous version 1.2.1 dated 2021-02-26

Title: Helpers for Model Coefficients Tibbles
Description: Provides suite of functions to work with regression model 'broom::tidy()' tibbles. The suite includes functions to group regression model terms by variable, insert reference and header rows for categorical variables, add variable labels, and more.
Author: Joseph Larmarange [aut, cre] (<https://orcid.org/0000-0001-7097-700X>), Daniel D. Sjoberg [aut] (<https://orcid.org/0000-0003-0862-2018>)
Maintainer: Joseph Larmarange <joseph@larmarange.net>

Diff between broom.helpers versions 1.2.1 dated 2021-02-26 and 1.3.0 dated 2021-04-10

 DESCRIPTION                                          |   10 
 MD5                                                  |   92 ++---
 NAMESPACE                                            |    6 
 NEWS.md                                              |   16 
 R/model_get_assign.R                                 |only
 R/model_get_coefficients_type.R                      |    4 
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 R/model_identify_variables.R                         |   18 -
 R/tidiers.R                                          |only
 R/tidy_and_attach.R                                  |   12 
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 tests/testthat/test-add_n.R                          |    2 
 tests/testthat/test-add_term_labels.R                |    2 
 tests/testthat/test-add_variable_labels.R            |    2 
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 vignettes/tidy.Rmd                                   |    4 
 50 files changed, 515 insertions(+), 363 deletions(-)

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New package SBCK with initial version 0.3.1
Package: SBCK
Title: Statistical Bias Correction Kit
Version: 0.3.1
Date: 2021-03-31
Authors@R: c( person("Yoann" , "Robin", email = "yoann.robin.k@gmail.com" , role = c("aut", "cre")), person("Mathieu", "Vrac" , email = "mathieu.vrac@lsce.ipsl.fr", role = c("cph")) )
Description: Implementation of several recent multivariate bias correction methods with a unified interface to facilitate their use. A description and comparison between methods can be found in François et al, (2020) <doi:10.5194/esd-11-537-2020>.
URL: https://github.com/yrobink/SBCK
Depends: R (>= 3.3)
License: GPL-3
Encoding: UTF-8
LazyData: false
NeedsCompilation: yes
Imports: Rcpp, methods, R6, ROOPSD
LinkingTo: Rcpp, RcppEigen
RcppModules: SBCK_cpp
Packaged: 2021-04-09 08:45:45 UTC; yrobin
Author: Yoann Robin [aut, cre], Mathieu Vrac [cph]
Maintainer: Yoann Robin <yoann.robin.k@gmail.com>
Repository: CRAN
Date/Publication: 2021-04-10 08:00:08 UTC

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New package RUVIIIC with initial version 1.0.18
Package: RUVIIIC
Title: RUV-III-C
Version: 1.0.18
Date: 2021-04-09
Author: Rohan Shah [aut, cre], Sean Peters [ctb], Qing Zhong [ctb], Children's Medical Research Institute [cph]
Authors@R: c(person("Rohan", "Shah", role = c("aut", "cre"), email = "rshah@cmri.org.au"), person("Sean", "Peters", role = "ctb"), person("Qing", "Zhong", role = "ctb"), person("Children's Medical Research Institute", role = "cph"))
Maintainer: Rohan Shah <rshah@cmri.org.au>
Description: Variations of Remove Unwanted Variation-III (RUV-III) known as RUV-III-C (RUV-III Complete). RUV-III performs normalisation using negative control variables and replication. RUV-III-C extends this method to cases where the data contains missing values, by applying RUV-III to complete subsets of the data. Originally designed for SWATH-MS proteomics datasets. Poulos et al. (2020) <doi:10.1038/s41467-020-17641-3>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyLoad: yes
LazyData: yes
SystemRequirements: C++11
LinkingTo: Rcpp, RcppEigen, RSpectra, RcppProgress
Suggests: ruv, testthat
Depends: R (>= 3.5), RSpectra, progress
Collate: 'RcppExports.R' 'RUVIII_C.R' 'RUVIII_C_Varying.R' 'data.R' 'roxygen.R' 'threads.R'
NeedsCompilation: yes
Packaged: 2021-04-09 05:25:26 UTC; rshah
Repository: CRAN
Date/Publication: 2021-04-10 08:00:11 UTC

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New package PCL with initial version 1.0
Package: PCL
Title: Proximal Causal Learning
Version: 1.0
Date: 2021-04-04
Authors@R: c(person(given = "Andrew", family = "Ying", role = c("aut", "cre"), email = "aying9339@gmail.com"), person(given = "Yifan", family = "Cui", role = "ctb"), person(given = "AmirEmad", family = "Ghassami", role = "ctb"))
Maintainer: Andrew Ying <aying9339@gmail.com>
Description: We fit causal models using proxies. We implement two stage proximal least squares estimator. E.J. Tchetgen Tchetgen, A. Ying, Y. Cui, X. Shi, and W. Miao. (2020). An Introduction to Proximal Causal Learning. arXiv e-prints, arXiv-2009 <arXiv:2009.10982>.
License: GPL (>= 2)
Depends: R (>= 4.0)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2021-04-09 00:59:22 UTC; andrewying
Author: Andrew Ying [aut, cre], Yifan Cui [ctb], AmirEmad Ghassami [ctb]
Repository: CRAN
Date/Publication: 2021-04-10 07:50:10 UTC

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New package MedLEA with initial version 1.0.1
Package: MedLEA
Title: Morphological and Structural Features of Medicinal Leaves
Version: 1.0.1
Authors@R: c(person(given = "Jayani P. G.", family = "Lakshika", role = c("aut", "cph"), email = "jayanilakshika76@gmail.com"), person(given = "Thiyanga S.", family = "Talagala", role = c("aut", "ths", "cre", "cph"), email="ttalagala@sjp.ac.lk", comment = c(ORCID = "0000-0002-0656-9789")))
Description: Contains a dataset of morphological and structural features of 'Medicinal LEAves (MedLEA)'. The features of each species is recorded by manually viewing the medicinal plant repository available at (<http://www.instituteofayurveda.org/plants/>). You can also download repository of leaf images of 1099 medicinal plants in Sri Lanka.
License: GPL-3
Depends: R (>= 3.5.0)
Imports: tidyverse, patchwork, tm, wordcloud2
Encoding: UTF-8
LazyData: true
Suggests: rmarkdown, knitr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-04-09 05:09:02 UTC; thiyangashaminitalagala
Author: Jayani P. G. Lakshika [aut, cph], Thiyanga S. Talagala [aut, ths, cre, cph] (<https://orcid.org/0000-0002-0656-9789>)
Maintainer: Thiyanga S. Talagala <ttalagala@sjp.ac.lk>
Repository: CRAN
Date/Publication: 2021-04-10 07:50:12 UTC

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New package garchmodels with initial version 0.1.0
Package: garchmodels
Title: The Tidymodels Extension for GARCH Models
Version: 0.1.0
Authors@R: c( person("Alberto", "Almuiña", email = "albertogonzalezalmuinha@gmail.com", role = c("aut", "cre")) )
Description: Garch framework for use with the 'tidymodels' ecosystem. It includes both univariate and multivariate methods from the 'rugarch' and 'rmgarch' packages. These models include DCC-Garch, Copula Garch and Go-GARCH among others.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0), parsnip, rugarch, rmgarch
Imports: rlang (>= 0.1.2), magrittr, purrr, dplyr, stringr, tibble, tidyr, dials
Suggests: tidymodels, tidyverse, modeltime, timetk, lubridate, knitr, rmarkdown, roxygen2, testthat (>= 3.0.0), covr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-04-08 20:53:30 UTC; Usuario
Author: Alberto Almuiña [aut, cre]
Maintainer: Alberto Almuiña <albertogonzalezalmuinha@gmail.com>
Repository: CRAN
Date/Publication: 2021-04-10 07:50:02 UTC

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New package equatags with initial version 0.1.0
Package: equatags
Title: Equations to 'XML'
Version: 0.1.0
Authors@R: c( person("David", "Gohel", role = c("aut", "cre"), email = "david.gohel@ardata.fr"), person(given = "ArData", role = "cph") )
Description: Provides function transform_mathjax() to transform equations defined using 'MathML', 'LaTeX' or 'ASCIIMathML' notation into format 'SVG' or 'Office Open XML Math'. The 'XML' result can then be included in 'HTML', 'Microsoft Word' documents or 'Microsoft PowerPoint' presentations by using a 'Markdown' document or the R package 'officer'.
BugReports: https://github.com/ardata-fr/equatags/issues
License: MIT + file LICENSE
Encoding: UTF-8
Imports: rappdirs, xml2, xslt, locatexec
SystemRequirements: Node.js
NeedsCompilation: no
Packaged: 2021-04-09 07:05:23 UTC; davidgohel
Author: David Gohel [aut, cre], ArData [cph]
Maintainer: David Gohel <david.gohel@ardata.fr>
Repository: CRAN
Date/Publication: 2021-04-10 08:00:02 UTC

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New package elasdics with initial version 0.1.1
Package: elasdics
Title: Elastic Analysis of Sparse, Dense and Irregular Curves
Version: 0.1.1
Author: Lisa Steyer <lisa.steyer@hu-berlin.de>
Maintainer: Lisa Steyer <lisa.steyer@hu-berlin.de>
Description: Provides functions to align curves and to compute mean curves based on the elastic distance defined in the square-root-velocity framework. For more details on this framework see Srivastava and Klassen (2016, <doi:10.1007/978-1-4939-4020-2>).
License: GPL-3
Encoding: UTF-8
Imports: splines, stats, numDeriv
Suggests: testthat, covr
NeedsCompilation: no
Packaged: 2021-04-09 08:33:22 UTC; User
Repository: CRAN
Date/Publication: 2021-04-10 08:00:05 UTC

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New package basecamb with initial version 0.9.0
Package: basecamb
Title: Utilities for Streamlined Data Import, Imputation and Modelling
Version: 0.9.0
Authors@R: c(person(given = "J. Peter", family = "Marquardt", role = c("aut"), email = "peter@kmarquardt.de", comment = c(ORCID = "0000-0002-5596-1357")), person(given = "Till D.", family = "Best", role = c("aut", "cre"), email = "till-best@gmx.de", comment = c(ORCID = "0000-0001-7323-827X")))
Description: Provides functions streamlining the data analysis workflow: Outsourcing data import, renaming and type casting to a *.csv. Manipulating imputed datasets and fitting models on them. Summarizing models.
Depends: R (>= 4.0.0)
Imports: assertive.types, mice, Hmisc
License: GPL (>= 3)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2021-04-08 22:32:09 UTC; Till-
Author: J. Peter Marquardt [aut] (<https://orcid.org/0000-0002-5596-1357>), Till D. Best [aut, cre] (<https://orcid.org/0000-0001-7323-827X>)
Maintainer: Till D. Best <till-best@gmx.de>
Repository: CRAN
Date/Publication: 2021-04-10 07:50:07 UTC

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Package sigora (with last version 3.0.5) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2019-08-23 3.0.5
2018-09-28 3.0.1
2016-05-10 2.0.1

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Package SoupX (with last version 1.5.0) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2021-01-13 1.5.0
2020-10-15 1.4.8
2020-05-26 1.4.5

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Package DealGPL570 (with last version 0.2.0) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2019-12-11 0.2.0
2019-11-12 0.0.1

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Package RxODE updated to version 1.0.8 with previous version 1.0.7 dated 2021-04-08

Title: Facilities for Simulating from ODE-Based Models
Description: Facilities for running simulations from ordinary differential equation ('ODE') models, such as pharmacometrics and other compartmental models. A compilation manager translates the ODE model into C, compiles it, and dynamically loads the object code into R for improved computational efficiency. An event table object facilitates the specification of complex dosing regimens (optional) and sampling schedules. NB: The use of this package requires both C and Fortran compilers, for details on their use with R please see Section 6.3, Appendix A, and Appendix D in the "R Administration and Installation" manual. Also the code is mostly released under GPL. The 'VODE' and 'LSODA' are in the public domain. The information is available in the inst/COPYRIGHTS.
Author: Matthew L. Fidler [aut] (<https://orcid.org/0000-0001-8538-6691>), Melissa Hallow [aut], Wenping Wang [aut, cre], Zufar Mulyukov [ctb], Alan Hindmarsh [ctb], Awad H. Al-Mohy [ctb], Matt Dowle [ctb], Cleve Moler [ctb], David Cooley [ctb], Daniel C. Dillon [ctb], Drew Schmidt [ctb], Arun Srinivasan [ctb], Ernst Hairer [ctb], Gerhard Wanner [ctb], Goro Fuji [ctb], Hadley Wickham [ctb], Jack Dongarra [ctb], Linda Petzold [ctb], Martin Maechler [ctb], Matteo Fasiolo [ctb], Morwenn [ctb], Nicholas J. Higham [ctb], Roger B. Sidje [ctb], Simon Frost [ctb], Kevin Ushey [ctb], Yu Feng [ctb]
Maintainer: Wenping Wang <wwang8198@gmail.com>

Diff between RxODE versions 1.0.7 dated 2021-04-08 and 1.0.8 dated 2021-04-10

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More information about RxODE at CRAN
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Package noaaoceans updated to version 0.3.0 with previous version 0.2.0 dated 2019-12-01

Title: Collect Ocean Data from NOAA
Description: Provides a small set of tools for collecting data from National Oceanic and Atmospheric Administration (NOAA) data sources. The functions provided in the package are wrappers around NOAA's existing APIs which is found at <https://api.tidesandcurrents.noaa.gov/api/prod/>.
Author: Sean Warlick [aut, cre]
Maintainer: Sean Warlick <warlick.sean@gmail.com>

Diff between noaaoceans versions 0.2.0 dated 2019-12-01 and 0.3.0 dated 2021-04-10

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 noaaoceans-0.3.0/noaaoceans/NAMESPACE                                                                          |    2 
 noaaoceans-0.3.0/noaaoceans/NEWS.md                                                                            |    9 
 noaaoceans-0.3.0/noaaoceans/R/noaaoceans.R                                                                     |    2 
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More information about noaaoceans at CRAN
Permanent link

Package disaggR updated to version 0.2.0.2 with previous version 0.1.11 dated 2020-12-09

Title: Two-Steps Benchmarks for Time Series Disaggregation
Description: The twoStepsBenchmark() and threeRuleSmooth() functions allow you to disaggregate a low-frequency time-serie with time-series of higher frequency, using the French National Accounts methodology. The aggregated sum of the resulting time-serie is strictly equal to the low-frequency serie within the benchmarking window. Typically, the low-frequency serie is an annual one, unknown for the last year, and the high frequency one is either quarterly or mensual. See "Methodology of quarterly national accounts", Insee Méthodes N°126, by Insee (2012, ISBN:978-2-11-068613-8).
Author: Arnaud Feldmann [aut, cre] (<https://orcid.org/0000-0003-0109-7505>), Franck Arnaud [ctb] (barplot base graphics method for the mts class), Institut national de la statistique et des études économiques [cph] (https://www.insee.fr/)
Maintainer: Arnaud Feldmann <arnaud.feldmann@insee.fr>

Diff between disaggR versions 0.1.11 dated 2020-12-09 and 0.2.0.2 dated 2021-04-10

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Package DescTools updated to version 0.99.41 with previous version 0.99.40 dated 2021-02-03

Title: Tools for Descriptive Statistics
Description: A collection of miscellaneous basic statistic functions and convenience wrappers for efficiently describing data. The author's intention was to create a toolbox, which facilitates the (notoriously time consuming) first descriptive tasks in data analysis, consisting of calculating descriptive statistics, drawing graphical summaries and reporting the results. The package contains furthermore functions to produce documents using MS Word (or PowerPoint) and functions to import data from Excel. Many of the included functions can be found scattered in other packages and other sources written partly by Titans of R. The reason for collecting them here, was primarily to have them consolidated in ONE instead of dozens of packages (which themselves might depend on other packages which are not needed at all), and to provide a common and consistent interface as far as function and arguments naming, NA handling, recycling rules etc. are concerned. Google style guides were used as naming rules (in absence of convincing alternatives). The 'BigCamelCase' style was consequently applied to functions borrowed from contributed R packages as well.
Author: Andri Signorell [aut, cre], Ken Aho [ctb], Andreas Alfons [ctb], Nanina Anderegg [ctb], Tomas Aragon [ctb], Chandima Arachchige [ctb], Antti Arppe [ctb], Adrian Baddeley [ctb], Kamil Barton [ctb], Ben Bolker [ctb], Hans W. Borchers [ctb], Frederico Caeiro [ctb], Stephane Champely [ctb], Daniel Chessel [ctb], Leanne Chhay [ctb], Nicholas Cooper [ctb], Clint Cummins [ctb], Michael Dewey [ctb], Harold C. Doran [ctb], Stephane Dray [ctb], Charles Dupont [ctb], Dirk Eddelbuettel [ctb], Claus Ekstrom [ctb], Martin Elff [ctb], Jeff Enos [ctb], Richard W. Farebrother [ctb], John Fox [ctb], Romain Francois [ctb], Michael Friendly [ctb], Tal Galili [ctb], Matthias Gamer [ctb], Joseph L. Gastwirth [ctb], Vilmantas Gegzna [ctb], Yulia R. Gel [ctb], Sereina Graber [ctb], Juergen Gross [ctb], Gabor Grothendieck [ctb], Frank E. Harrell Jr [ctb], Richard Heiberger [ctb], Michael Hoehle [ctb], Christian W. Hoffmann [ctb], Soeren Hojsgaard [ctb], Torsten Hothorn [ctb], Markus Huerzeler [ctb], Wallace W. Hui [ctb], Pete Hurd [ctb], Rob J. Hyndman [ctb], Christopher Jackson [ctb], Matthias Kohl [ctb], Mikko Korpela [ctb], Max Kuhn [ctb], Detlew Labes [ctb], Friederich Leisch [ctb], Jim Lemon [ctb], Dong Li [ctb], Martin Maechler [ctb], Arni Magnusson [ctb], Ben Mainwaring [ctb], Daniel Malter [ctb], George Marsaglia [ctb], John Marsaglia [ctb], Alina Matei [ctb], David Meyer [ctb], Weiwen Miao [ctb], Giovanni Millo [ctb], Yongyi Min [ctb], David Mitchell [ctb], Franziska Mueller [ctb], Markus Naepflin [ctb], Daniel Navarro [ctb], Henric Nilsson [ctb], Klaus Nordhausen [ctb], Derek Ogle [ctb], Hong Ooi [ctb], Nick Parsons [ctb], Sandrine Pavoine [ctb], Tony Plate [ctb], Luke Prendergast [ctb], Roland Rapold [ctb], William Revelle [ctb], Tyler Rinker [ctb], Brian D. Ripley [ctb], Caroline Rodriguez [ctb], Nathan Russell [ctb], Nick Sabbe [ctb], Ralph Scherer [ctb], Venkatraman E. Seshan [ctb], Michael Smithson [ctb], Greg Snow [ctb], Karline Soetaert [ctb], Werner A. Stahel [ctb], Alec Stephenson [ctb], Mark Stevenson [ctb], Ralf Stubner [ctb], Matthias Templ [ctb], Duncan Temple Lang [ctb], Terry Therneau [ctb], Yves Tille [ctb], Luis Torgo [ctb], Adrian Trapletti [ctb], Joshua Ulrich [ctb], Kevin Ushey [ctb], Jeremy VanDerWal [ctb], Bill Venables [ctb], John Verzani [ctb], Pablo J. Villacorta Iglesias [ctb], Gregory R. Warnes [ctb], Stefan Wellek [ctb], Hadley Wickham [ctb], Rand R. Wilcox [ctb], Peter Wolf [ctb], Daniel Wollschlaeger [ctb], Joseph Wood [ctb], Ying Wu [ctb], Thomas Yee [ctb], Achim Zeileis [ctb]
Maintainer: Andri Signorell <andri@signorell.net>

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Fri, 09 Apr 2021

Package unheadr updated to version 0.3.2 with previous version 0.3.1 dated 2021-02-06

Title: Handle Data with Messy Header Rows and Broken Values
Description: Verb-like functions to work with messy data, often derived from spreadsheets or parsed PDF tables. Includes functions for unwrapping values broken up across rows, relocating embedded grouping values, and to annotate meaningful formatting in spreadsheet files.
Author: Luis D. Verde Arregoitia [aut, cre] (<https://orcid.org/0000-0001-9520-6543>)
Maintainer: Luis D. Verde Arregoitia <luis@liomys.mx>

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Package RBF updated to version 2.1.0 with previous version 2.0.1 dated 2020-07-30

Title: Robust Backfitting
Description: A robust backfitting algorithm for additive models based on (robust) local polynomial kernel smoothers. It includes both bounded and re-descending (kernel) M-estimators, and it computes predictions for points outside the training set if desired. See Boente, Martinez and Salibian-Barrera (2017) <doi:10.1080/10485252.2017.1369077> and Martinez and Salibian-Barrera (2021) <doi:10.21105/joss.02992> for details.
Author: Matias Salibian-Barrera [aut, cre], Alejandra Martinez [aut]
Maintainer: Matias Salibian-Barrera <matias@stat.ubc.ca>

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Package hawkesbow updated to version 1.0.2 with previous version 1.0.1 dated 2021-04-07

Title: Estimation of Hawkes Processes from Binned Observations
Description: Implements an estimation method for Hawkes processes when count data are only observed in discrete time, using a spectral approach derived from the Bartlett spectrum, see Cheysson and Lang (2020) <arXiv:2003.04314>. Some general use functions for Hawkes processes are also included: simulation of (in)homogeneous Hawkes process, maximum likelihood estimation, residual analysis, etc.
Author: Felix Cheysson [aut, cre] (<https://orcid.org/0000-0002-9095-2878>)
Maintainer: Felix Cheysson <felix@cheysson.fr>

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Package ClimInd updated to version 0.1-3 with previous version 0.1-2 dated 2019-07-18

Title: Climate Indices
Description: Computes 138 standard climate indices at monthly, seasonal and annual resolution. These indices were selected, based on their direct and significant impacts on target sectors, after a thorough review of the literature in the field of extreme weather events and natural hazards. Overall, the selected indices characterize different aspects of the frequency, intensity and duration of extreme events, and are derived from a broad set of climatic variables, including surface air temperature, precipitation, relative humidity, wind speed, cloudiness, solar radiation, and snow cover. The 138 indices have been classified as follow: Temperature based indices (42), Precipitation based indices (22), Bioclimatic indices (21), Wind-based indices (5), Aridity/ continentality indices (10), Snow-based indices (13), Cloud/radiation based indices (6), Drought indices (8), Fire indices (5), Tourism indices (5).
Author: Fergus Reig-Gracia [aut, cre], Sergio M. Vicente-Serrano [aut], Fernando Dominguez-Castro [aut], Joaquin Bedia-Jiménez [ctb]
Maintainer: Fergus Reig-Gracia <fergusrg@gmail.com>

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Package ICD10gm updated to version 1.2.2 with previous version 1.1 dated 2020-04-14

Title: Metadata Processing for the German Modification of the ICD-10 Coding System
Description: Provides convenient access to the German modification of the International Classification of Diagnoses, 10th revision (ICD-10-GM). It provides functionality to aid in the identification, specification and historisation of ICD-10 codes. Its intended use is the analysis of routinely collected data in the context of epidemiology, medical research and health services research. The underlying metadata are released by the German Institute for Medical Documentation and Information <https://www.dimdi.de>, and are redistributed in accordance with their license.
Author: Ewan Donnachie [aut, cre] (<https://orcid.org/0000-0002-0668-0049>)
Maintainer: Ewan Donnachie <ewan@donnachie.net>

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Package DGEobj updated to version 1.0.3 with previous version 1.0.1 dated 2020-12-07

Title: Differential Gene Expression (DGE) Analysis Results Data Object
Description: Provides a flexible container to manage and annotate Differential Gene Expression (DGE) analysis results (Smythe et. al (2015) <doi:10.1093/nar/gkv007>). The DGEobj has data slots for row (gene), col (samples), assays (matrix n-rows by m-samples dimensions) and metadata (not keyed to row, col, or assays). A set of accessory functions to deposit, query and retrieve subsets of a data workflow has been provided. Attributes are used to capture metadata such as species and gene model, including reproducibility information such that a 3rd party can access a DGEobj history to see how each data object was created or modified. Since the DGEobj is customizable and extensible it is not limited to RNA-seq analysis types of workflows -- it can accommodate nearly any data analysis workflow that starts from a matrix of assays (rows) by samples (columns).
Author: John Thompson [aut], Connie Brett [aut, cre], Isaac Neuhaus [aut], Ryan Thompson [aut]
Maintainer: Connie Brett <connie@aggregate-genius.com>

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Package ProAE updated to version 0.1.2 with previous version 0.1.1 dated 2021-02-24

Title: PRO-CTCAE Data Management, Analysis, and Graphical Tools
Description: A collection of tools to facilitate standardized analysis and graphical procedures when using the National Cancer Institute’s Patient-Reported Outcomes version of the Common Terminology Criteria for Adverse Events (PRO-CTCAE).
Author: Blake Langlais [aut, cre], Amylou Dueck [aut]
Maintainer: Blake Langlais <langlais.blake@mayo.edu>

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Package sigQC updated to version 0.1.22 with previous version 0.1.21 dated 2018-07-24

Title: Quality Control Metrics for Gene Signatures
Description: Provides gene signature quality control metrics in publication ready plots. Namely, enables the visualization of properties such as expression, variability, correlation, and comparison of methods of standardisation and scoring metrics.
Author: Andrew Dhawan [aut], Alessandro Barberis [aut], Wei-Chen Cheng [aut], Francesca Buffa [aut, cre]
Maintainer: Francesca Buffa <francesca.buffa@oncology.ox.ac.uk>

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Package semEff updated to version 0.5.0 with previous version 0.4.0 dated 2020-10-01

Title: Automatic Calculation of Effects for Piecewise Structural Equation Models
Description: Provides functionality to automatically calculate direct, indirect, and total effects for piecewise structural equation models, comprising lists of fitted models representing structured equations (Lefcheck 2016 <doi:10/f8s8rb>). Confidence intervals are provided via bootstrapping.
Author: Mark Murphy [aut, cre]
Maintainer: Mark Murphy <murphymv@gmail.com>

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Package fishualize updated to version 0.2.2 with previous version 0.2.1 dated 2021-03-12

Title: Color Palettes Based on Fish Species
Description: Implementation of color palettes based on fish species.
Author: Nina M. D. Schiettekatte [cre, aut], Simon J. Brandl [aut], Jordan M. Casey [aut]
Maintainer: Nina M. D. Schiettekatte <nina.schiettekatte@gmail.com>

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Package see updated to version 0.6.3 with previous version 0.6.2 dated 2021-02-04

Title: Visualisation Toolbox for 'easystats' and Extra Geoms, Themes and Color Palettes for 'ggplot2'
Description: Provides plotting utilities supporting easystats-packages (<https://github.com/easystats/easystats>) and some extra themes, geoms, and scales for 'ggplot2'. Color scales are based on <https://www.materialui.co/colors>.
Author: Daniel Lüdecke [aut, cre] (<https://orcid.org/0000-0002-8895-3206>), Dominique Makowski [aut, inv] (<https://orcid.org/0000-0001-5375-9967>), Mattan S. Ben-Shachar [aut] (<https://orcid.org/0000-0002-4287-4801>), Indrajeet Patil [aut] (<https://orcid.org/0000-0003-1995-6531>, @patilindrajeets), Philip Waggoner [aut, ctb] (<https://orcid.org/0000-0002-7825-7573>), Brenton M. Wiernik [ctb] (<https://orcid.org/0000-0001-9560-6336>), Jeffrey R. Stevens [ctb] (<https://orcid.org/0000-0003-2375-1360>)
Maintainer: Daniel Lüdecke <d.luedecke@uke.de>

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Package MSbox updated to version 1.3.9 with previous version 1.3.8 dated 2021-02-10

Title: Mass Spectrometry Tools
Description: Common mass spectrometry tools described in John Roboz (2013) <doi:10.1201/b15436>. It allows checking element isotopes, calculating (isotope labelled) exact monoisitopic mass, m/z values and mass accuracy, and inspecting possible contaminant mass peaks, examining possible adducts in electrospray ionization (ESI) and matrix-assisted laser desorption ionization (MALDI) ion sources.
Author: Yonghui Dong
Maintainer: Yonghui Dong <yonghui.dong@gmail.com>

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Package OpenSpecy updated to version 0.9.0 with previous version 0.8.2 dated 2021-03-31

Title: Analyze, Process, Identify, and Share, Raman and (FT)IR Spectra
Description: Raman and (FT)IR spectral analysis tool for plastic particles and other environmental samples. Supported features include reading spectral data files (.asp, .csv, .jdx, .spc, .spa, .0), Savitzky-Golay smoothing of spectral intensities with smooth_intens(), correcting background noise with subtr_bg() in accordance with Zhao et al. (2007) <doi:10.1366/000370207782597003>, and identifying spectra using an onboard reference library (Cowger et al. 2020, <doi:10.1177/0003702820929064>). Analyzed spectra can be shared with the Open Specy community. A Shiny app is available via run_app() or online at <https://wincowger.shinyapps.io/OpenSpecy/>.
Author: Win Cowger [cre, aut] (<https://orcid.org/0000-0001-9226-3104>), Zacharias Steinmetz [aut] (<https://orcid.org/0000-0001-6675-5033>), Andrew Gray [ctb] (<https://orcid.org/0000-0003-2252-7367>), Hannah Hapich [ctb] (<https://orcid.org/0000-0003-0000-6632>), Jennifer Lynch [ctb, dtc] (<https://orcid.org/0000-0003-3572-8782>), Hannah De Frond [ctb, dtc] (<https://orcid.org/0000-0003-1199-0727>), Keenan Munno [ctb, dtc] (<https://orcid.org/0000-0003-2916-5944>), Chelsea Rochman [ctb, dtc] (<https://orcid.org/0000-0002-7624-711X>), Sebastian Primpke [ctb, dtc] (<https://orcid.org/0000-0001-7633-8524>), Orestis Herodotou [ctb, dtc]
Maintainer: Win Cowger <wincowger@gmail.com>

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Package healthyR.data updated to version 1.0.1 with previous version 1.0.0 dated 2020-11-23

Title: Data Only Package to 'healthyR'
Description: Provides data for functions typically used in the 'healthyR' package.
Author: Steven Sanderson [aut, cre], Steven Sanderson [cph]
Maintainer: Steven Sanderson <spsanderson@gmail.com>

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Package exams2sakai updated to version 0.2 with previous version 0.1 dated 2021-03-20

Title: Automatic Generation of Exams in R for 'Sakai'
Description: Automatic Generation of Exams in R for 'Sakai'. Question templates in the form of the 'exams' package (see <http://www.r-exams.org/>) are transformed into XML format required by 'Sakai'.
Author: Fuensanta Arnaldos García [aut], María Victoria Caballero Pintado [aut], Úrsula Faura Martínez [aut], María Teresa Díaz Delfa [aut], Jesús María Méndez Pérez [aut, cre], Lourdes Molera Peris [aut], José Antonio Palazón Ferrando [aut], Juan José Pérez Castejón [aut], Isabel Parra Frutos [aut], Raúl Sánchez Sánchez [aut], Nicolás Andrés Ubero Pascal [aut], Nikolaus Umlauf [ctb], Achim Zeileis [ctb] (<https://orcid.org/0000-0003-0918-3766>)
Maintainer: Jesús María Méndez Pérez <jesus.mendez@ticarum.es>

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Package arkhe updated to version 0.3.0 with previous version 0.2.2 dated 2020-03-23

Title: Representation of Archaeological Data
Description: A collection of classes that represent archaeological data. This package provides a set of S4 classes that represent different special types of matrix (absolute/relative frequency, presence/absence data, co-occurrence matrix, etc.) upon which package developers can build subclasses. It also provides a set of generic methods (mutators and coercion mechanisms) and functions (e.g. summary statistics, predicates). In addition, a few classes of general interest (e.g. that represent stratigraphic relationships) are implemented.
Author: Nicolas Frerebeau [aut, cre] (<https://orcid.org/0000-0001-5759-4944>), Brice Lebrun [ctb] (<https://orcid.org/0000-0001-7503-8685>)
Maintainer: Nicolas Frerebeau <nicolas.frerebeau@u-bordeaux-montaigne.fr>

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Package sisireg updated to version 0.9.1 with previous version 0.9.0 dated 2021-04-01

Title: Sign-Simplicity-Regression-Solver
Description: Implementation of the SSR-Algorithm. The Sign-Simplicity-Regression model is a nonparametric statistical model which is based on residual signs and simplicity assumptions on the regression function. Goal is to calculate the most parsimonious regression function satisfying the statistical adequacy requirements. Theory and functions are specified in Metzner (2020, ISBN: 979-8-68239-420-3, "Trendbasierte Prognostik") and Metzner (2021, ISBN: 979-8-59347-027-0, "Adäquates Maschinelles Lernen").
Author: Lars Metzner [aut, cre]
Maintainer: Lars Metzner <lars.metzner@ppi.de>

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Package queuecomputer updated to version 1.1.0 with previous version 1.0.0 dated 2020-10-06

Title: Computationally Efficient Queue Simulation
Description: Implementation of a computationally efficient method for simulating queues with arbitrary arrival and service times. Please see Ebert, Wu, Mengersen & Ruggeri (2020, <doi:10.18637/jss.v095.i05>) for further details.
Author: Anthony Ebert [aut, cre] (<https://orcid.org/0000-0003-3002-6300>), Kerrie Mengersen [ths], Paul Wu [ths], Fabrizio Ruggeri [ths]
Maintainer: Anthony Ebert <anthonyebert+CRAN@gmail.com>

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Package spsur updated to version 1.0.1.7 with previous version 1.0.1.6 dated 2020-09-17

Title: Spatial Seemingly Unrelated Regression Models
Description: A collection of functions to test and estimate Seemingly Unrelated Regression (usually called SUR) models, with spatial structure, by maximum likelihood and three-stage least squares. The package estimates the most common spatial specifications, that is, SUR with Spatial Lag of X regressors (called SUR-SLX), SUR with Spatial Lag Model (called SUR-SLM), SUR with Spatial Error Model (called SUR-SEM), SUR with Spatial Durbin Model (called SUR-SDM), SUR with Spatial Durbin Error Model (called SUR-SDEM), SUR with Spatial Autoregressive terms and Spatial Autoregressive Disturbances (called SUR-SARAR), SUR-SARAR with Spatial Lag of X regressors (called SUR-GNM) and SUR with Spatially Independent Model (called SUR-SIM). The methodology of these models can be found in next references Mur, J., Lopez, F., and Herrera, M. (2010) <doi:10.1080/17421772.2010.516443> Lopez, F.A., Mur, J., and Angulo, A. (2014) <doi:10.1007/s00168-014-0624-2>.
Author: Ana Angulo [aut], Fernando A Lopez [aut], Roman Minguez [aut, cre], Jesus Mur [aut]
Maintainer: Roman Minguez <roman.minguez@uclm.es>

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Package performance updated to version 0.7.1 with previous version 0.7.0 dated 2021-02-03

Title: Assessment of Regression Models Performance
Description: Utilities for computing measures to assess model quality, which are not directly provided by R's 'base' or 'stats' packages. These include e.g. measures like r-squared, intraclass correlation coefficient (Nakagawa, Johnson & Schielzeth (2017) <doi:10.1098/rsif.2017.0213>), root mean squared error or functions to check models for overdispersion, singularity or zero-inflation and more. Functions apply to a large variety of regression models, including generalized linear models, mixed effects models and Bayesian models.
Author: Daniel Lüdecke [aut, cre] (<https://orcid.org/0000-0002-8895-3206>), Dominique Makowski [aut, ctb] (<https://orcid.org/0000-0001-5375-9967>), Mattan S. Ben-Shachar [aut, ctb] (<https://orcid.org/0000-0002-4287-4801>), Indrajeet Patil [aut, ctb] (<https://orcid.org/0000-0003-1995-6531>), Philip Waggoner [aut, ctb] (<https://orcid.org/0000-0002-7825-7573>), Vincent Arel-Bundock [ctb] (<https://orcid.org/0000-0003-2042-7063>)
Maintainer: Daniel Lüdecke <d.luedecke@uke.de>

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 performance-0.7.1/performance/R/test_vuong.R                                   |    5 
 performance-0.7.1/performance/R/test_wald.R                                    |    7 
 performance-0.7.1/performance/README.md                                        |  216 +++--
 performance-0.7.1/performance/build/partial.rdb                                |binary
 performance-0.7.1/performance/inst/CITATION                                    |   28 
 performance-0.7.1/performance/inst/WORDLIST                                    |  221 +++--
 performance-0.7.1/performance/man/binned_residuals.Rd                          |  136 +--
 performance-0.7.1/performance/man/check_collinearity.Rd                        |  220 ++---
 performance-0.7.1/performance/man/check_heteroscedasticity.Rd                  |   76 +
 performance-0.7.1/performance/man/check_homogeneity.Rd                         |   14 
 performance-0.7.1/performance/man/check_model.Rd                               |  177 ++--
 performance-0.7.1/performance/man/check_normality.Rd                           |    8 
 performance-0.7.1/performance/man/check_outliers.Rd                            |   58 -
 performance-0.7.1/performance/man/check_overdispersion.Rd                      |  150 +--
 performance-0.7.1/performance/man/check_zeroinflation.Rd                       |   76 -
 performance-0.7.1/performance/man/compare_performance.Rd                       |    1 
 performance-0.7.1/performance/man/cronbachs_alpha.Rd                           |   73 -
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 performance-0.7.1/performance/man/model_performance.lm.Rd                      |    3 
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 performance-0.7.1/performance/man/model_performance.stanreg.Rd                 |    7 
 performance-0.7.1/performance/man/performance_accuracy.Rd                      |   22 
 performance-0.7.1/performance/man/performance_aicc.Rd                          |   73 -
 performance-0.7.1/performance/man/performance_roc.Rd                           |  114 +-
 performance-0.7.1/performance/man/pp_check.Rd                                  |  182 ++--
 performance-0.7.1/performance/man/r2.Rd                                        |  114 +-
 performance-0.7.1/performance/man/r2_bayes.Rd                                  |    9 
 performance-0.7.1/performance/man/r2_somers.Rd                                 |   55 -
 performance-0.7.1/performance/man/test_performance.Rd                          |   21 
 performance-0.7.1/performance/tests/testthat.R                                 |   17 
 performance-0.7.1/performance/tests/testthat/test-backticks.R                  |    4 
 performance-0.7.1/performance/tests/testthat/test-coxph.R                      |    5 
 performance-0.7.1/performance/tests/testthat/test-icc.R                        |    4 
 performance-0.7.1/performance/tests/testthat/test-model_performance-various.R  |    8 
 performance-0.7.1/performance/tests/testthat/test-model_performance.bayesian.R |  108 +-
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 performance-0.7.1/performance/tests/testthat/test-performance_roc.R            |   16 
 performance-0.7.1/performance/tests/testthat/test-r2_mcfadden.R                |    3 
 performance-0.7.1/performance/tests/testthat/test-r2_nagelkerke.R              |    2 
 performance-0.7.1/performance/tests/testthat/test-roc.R                        |only
 performance-0.7.1/performance/tests/testthat/test-test_likelihoodratio.R       |    7 
 performance-0.7.1/performance/tests/testthat/test-test_performance.R           |    1 
 performance-0.7.1/performance/tests/testthat/test-test_vuong.R                 |    5 
 performance-0.7.1/performance/tests/testthat/test-test_wald.R                  |    8 
 96 files changed, 2716 insertions(+), 1656 deletions(-)

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Package DeCAFS updated to version 3.2.3 with previous version 3.1.5 dated 2020-05-18

Title: Detecting Changes in Autocorrelated and Fluctuating Signals
Description: Detect abrupt changes in time series with local fluctuations as a random walk process and autocorrelated noise as an AR(1) process. See Romano, G., Rigaill, G., Runge, V., Fearnhead, P. (2021) <doi:10.1080/01621459.2021.1909598>.
Author: Gaetano Romano [aut, cre], Guillem Rigaill [aut], Vincent Runge [aut], Paul Fearnhead [aut]
Maintainer: Gaetano Romano <g.romano@lancaster.ac.uk>

Diff between DeCAFS versions 3.1.5 dated 2020-05-18 and 3.2.3 dated 2021-04-09

 DESCRIPTION               |   14 ++++----
 MD5                       |   50 ++++++++++++++++-------------
 NAMESPACE                 |    3 +
 R/DeCAFS.R                |   12 +++---
 R/additional-estimators.R |only
 R/data.R                  |    2 -
 R/estimateParameters.R    |   79 +++++++++++++++++++++++++++-------------------
 R/generateRWAR.R          |   22 ++++++------
 R/generateSinusoidal.R    |   22 ++++++------
 R/plot.R                  |    2 -
 R/scenarioGenerator.R     |only
 build                     |only
 man/DeCAFS.Rd             |    7 ++--
 man/bestParameters.Rd     |only
 man/cost.Rd               |only
 man/dataRWAR.Rd           |   21 ++++++------
 man/dataSinusoidal.Rd     |   27 ++++++++-------
 man/estimVar.Rd           |only
 man/estimateParameters.Rd |    7 ++--
 man/evalEtaNu.Rd          |only
 man/oilWell.Rd            |    2 -
 man/plot.DeCAFSout.Rd     |    2 -
 man/scenarioGenerator.Rd  |only
 src/algorithms.cpp        |   46 +++++++++++++++++++++++---
 src/algorithms.h          |   12 +++++-
 src/fpop.cpp              |    6 +++
 src/fpopmain.cpp          |   53 ++++++++++++++++++------------
 src/fpopmain.h            |    6 +++
 src/quadratic.cpp         |    6 +++
 src/quadratic.h           |    5 ++
 30 files changed, 257 insertions(+), 149 deletions(-)

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New package vivid with initial version 0.1.0
Package: vivid
Title: Variable Importance and Variable Interaction Displays
Version: 0.1.0
Authors@R: c( person(given = "Alan", family = "Inglis", email = "alan.inglis@mu.ie", role = c("aut", "cre")), person(given = "Andrew", family = "Parnell", email = "andrew.parnell@mu.ie", role = "aut"), person(given = "Catherine", family = "Hurley", email = "catherine.hurley@mu.ie", role = "aut"))
Language: en-US
Description: A suite of plots for displaying variable importance and two-way variable interaction jointly. Can also display partial dependence plots laid out in a pairs plot or 'zenplots' style.
License: GPL (>= 2)
Encoding: UTF-8
Imports: condvis2, ggplot2, GGally, RColorBrewer, colorspace, stats, DendSer, ggalt, dplyr, igraph, flashlight, ggnewscale, tidyr
Suggests: intergraph (>= 2.0-2), network (>= 1.12.0), sna (>= 2.3-2), mlr, MASS, tidymodels, e1071, gridExtra, lemon, mlr3, mlr3learners, sp, scales, ranger, vip, knitr, rmarkdown, randomForest, testthat (>= 3.0.0), labeling, zenplots, covr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-04-08 16:31:24 UTC; alaninglis
Author: Alan Inglis [aut, cre], Andrew Parnell [aut], Catherine Hurley [aut]
Maintainer: Alan Inglis <alan.inglis@mu.ie>
Repository: CRAN
Date/Publication: 2021-04-09 09:10:02 UTC

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New package TensorClustering with initial version 1.0.1
Package: TensorClustering
Title: Model-Based Tensor Clustering
Version: 1.0.1
Authors@R: c(person(given = "Kai", family = "Deng", role = c("aut","cre"), email = "kd18h@stat.fsu.edu"), person(given = "Yuqing", family = "Pan", role = "aut", email = "yuqing.pan@stat.fsu.edu"), person(given = "Xin", family = "Zhang", role = "aut", email = "henry@stat.fsu.edu"), person(given = "Qing", family = "Mai", role = "aut", email = "mai@stat.fsu.edu"))
Description: Performs model-based tensor clustering methods including Tensor Gaussian Mixture Model (TGMM) and Tensor Envelope Mixture Model (TEMM) by Deng and Zhang (2021, tentatively accepted by Biometrics), Doubly-Enhanced EM (DEEM) algorithm by Mai, Zhang, Pan and Deng (2021) <arXiv:2012.10032>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: false
Imports: MASS, tensr, rTensor, TRES, abind, combinat, pracma, stats, mvtnorm, Rcpp
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2021-04-08 16:35:04 UTC; azuryee
Author: Kai Deng [aut, cre], Yuqing Pan [aut], Xin Zhang [aut], Qing Mai [aut]
Maintainer: Kai Deng <kd18h@stat.fsu.edu>
Repository: CRAN
Date/Publication: 2021-04-09 09:10:05 UTC

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New package nlmixr with initial version 2.0.3
Package: nlmixr
Title: Nonlinear Mixed Effects Models in Population PK/PD
Depends: R (>= 4.0)
Imports: Rcpp (>= 0.12.3), brew, parallel, lbfgsb3c, dparser, methods, ggplot2, memoise, rex, minqa, Matrix, n1qn1 (>= 6.0.1-10), fastGHQuad, RxODE(>= 1.0.6), nlme, magrittr, sys, backports, symengine
Suggests: Deriv, Rvmmin, broom.mixed, crayon, knitr, data.table, devtools, digest, dotwhisker, dplyr, expm, flextable, ggtext, patchwork, gridExtra, huxtable, lattice, lbfgs, lotri, madness, matrixcalc, nloptr, officer, pkgdown, reshape2, rmarkdown, testthat, tidyr, ucminf, vpc (>= 1.0.0), xgxr, yaml, xpose, generics, tibble, checkmate, cli, qs, covr, forecast, latticeExtra
Version: 2.0.3
Authors@R: c(person("Matthew","Fidler", role = "aut", email = "matthew.fidler@gmail.com", comment=c(ORCID="0000-0001-8538-6691")), person("Yuan", "Xiong", role = "aut", email = "yuan.xiong@gmail.com"), person("Rik", "Schoemaker", role = "aut", email = "rik.schoemaker@occams.com", comment=c(ORCID="0000-0002-7538-3005")), person("Justin", "Wilkins", role = "aut", email = "justin.wilkins@occams.com", comment=c(ORCID="0000-0002-7099-9396")), person("Wenping", "Wang", role = c("aut", "cre"), email = "wwang8198@gmail.com"), person("Robert","Leary", role = "ctb"), person("Mason","McComb", role = "aut", email = "mason.c.mccomb@gmail.com", comment=c(ORCID="0000-0001-9871-8616")), person("Mirjam","Trame", role = "ctb"), person("Teun","Post", role = "ctb", email = "t.post@lapp.nl"), person("Richard", "Hooijmaijers", email = "richardhooijmaijers@gmail.com", role = "aut"), person("Hadley","Wickham", role = "ctb"), person("Dirk","Eddelbuettel", role = "cph", email = "edd@debian.org"), person("Johannes", "Pfeifer",role="ctb"), person("Robert B.", "Schnabel",role="ctb"), person("Elizabeth", "Eskow", role="ctb"), person("Emmanuelle", "Comets", role="ctb", email="emmanuelle.comets@inserm.fr"), person("Audrey", "Lavenu", role="ctb"), person("Marc", "Lavielle", role="ctb"), person("David","Ardia",role = "cph"), person("Daniel C.", "Dillon", role="ctb"), person("Katharine","Mullen",role = "cph"), person("Ben", "Goodrich", role = "ctb") )
Description: Fit and compare nonlinear mixed-effects models in differential equations with flexible dosing information commonly seen in pharmacokinetics and pharmacodynamics (Almquist, Leander, and Jirstrand 2015 <doi:10.1007/s10928-015-9409-1>). Differential equation solving is by compiled C code provided in the 'RxODE' package (Wang, Hallow, and James 2015 <doi:10.1002/psp4.12052>).
License: GPL (>= 2)
NeedsCompilation: yes
LinkingTo: dparser(>= 0.1.8), RxODE(>= 1.0.0-0), RcppEigen (>= 0.3.3.3.0), lbfgsb3c, Rcpp, BH, StanHeaders(>= 2.18.0), RcppArmadillo (>= 0.5.600.2.0)
URL: https://github.com/nlmixrdevelopment/nlmixr
LazyData: true
Biarch: true
Packaged: 2021-04-08 19:14:03 UTC; annie
Maintainer: Wenping Wang <wwang8198@gmail.com>
Encoding: UTF-8
Author: Matthew Fidler [aut] (<https://orcid.org/0000-0001-8538-6691>), Yuan Xiong [aut], Rik Schoemaker [aut] (<https://orcid.org/0000-0002-7538-3005>), Justin Wilkins [aut] (<https://orcid.org/0000-0002-7099-9396>), Wenping Wang [aut, cre], Robert Leary [ctb], Mason McComb [aut] (<https://orcid.org/0000-0001-9871-8616>), Mirjam Trame [ctb], Teun Post [ctb], Richard Hooijmaijers [aut], Hadley Wickham [ctb], Dirk Eddelbuettel [cph], Johannes Pfeifer [ctb], Robert B. Schnabel [ctb], Elizabeth Eskow [ctb], Emmanuelle Comets [ctb], Audrey Lavenu [ctb], Marc Lavielle [ctb], David Ardia [cph], Daniel C. Dillon [ctb], Katharine Mullen [cph], Ben Goodrich [ctb]
Repository: CRAN
Date/Publication: 2021-04-09 09:50:04 UTC

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Package IDF updated to version 2.1.0 with previous version 2.0.0 dated 2021-01-15

Title: Estimation and Plotting of IDF Curves
Description: Intensity-duration-frequency (IDF) curves are a widely used analysis-tool in hydrology to assess extreme values of precipitation [e.g. Mailhot et al., 2007, <doi:10.1016/j.jhydrol.2007.09.019>]. The package 'IDF' provides functions to estimate IDF parameters for given precipitation time series on the basis of a duration-dependent generalized extreme value distribution [Koutsoyiannis et al., 1998, <doi:10.1016/S0022-1694(98)00097-3>].
Author: Jana Ulrich [aut, cre], Laura Mack [ctb], Oscar E. Jurado [ctb], Felix S. Fauer [ctb], Christoph Ritschel [aut], Carola Detring [ctb], Sarah Joedicke [ctb]
Maintainer: Jana Ulrich <jana.ulrich@met.fu-berlin.de>

Diff between IDF versions 2.0.0 dated 2021-01-15 and 2.1.0 dated 2021-04-09

 DESCRIPTION                           |   10 -
 MD5                                   |   42 ++--
 NEWS.md                               |   14 +
 R/IDF.R                               |   21 +-
 R/d-gev.R                             |   78 ++++++--
 R/gevdfit.R                           |  307 ++++++++++++++++++++++++----------
 README.md                             |  123 ++++++++++++-
 inst                                  |only
 man/IDF-package.Rd                    |    5 
 man/dgev.d.Rd                         |    8 
 man/example.Rd                        |    4 
 man/figures/README-annualmax-1.png    |binary
 man/figures/README-fit-1.png          |binary
 man/figures/README-fit-2.png          |binary
 man/figures/README-idf-1.png          |binary
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 man/gev.d.fit.Rd                      |   28 ++-
 man/gev.d.init.Rd                     |    2 
 man/gev.d.lik.Rd                      |   15 +
 man/gev.d.params.Rd                   |    6 
 man/pgev.d.Rd                         |    6 
 man/qgev.d.Rd                         |   10 -
 man/rgev.d.Rd                         |    6 
 23 files changed, 519 insertions(+), 166 deletions(-)

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Package Compind updated to version 2.2 with previous version 2.1 dated 2019-03-12

Title: Composite Indicators Functions
Description: Contains functions to enhance approaches to the Composite Indicators methods, focusing, in particular, on the normalisation and weighting-aggregation steps.
Author: Francesco Vidoli, Elisa Fusco
Maintainer: Francesco Vidoli <fvidoli@gmail.com>

Diff between Compind versions 2.1 dated 2019-03-12 and 2.2 dated 2021-04-09

 Compind-2.1/Compind/R/bandwidth_CI_bad.R          |only
 Compind-2.1/Compind/R/ci_bod_constr_mpi.R         |only
 Compind-2.1/Compind/R/ci_rbod_constr_Q.R          |only
 Compind-2.1/Compind/man/bandwidth_CI_bad.Rd       |only
 Compind-2.1/Compind/man/ci_bod_constr_mpi.Rd      |only
 Compind-2.1/Compind/man/ci_rbod_constr_Q.Rd       |only
 Compind-2.2/Compind/DESCRIPTION                   |    8 -
 Compind-2.2/Compind/MD5                           |   28 ++----
 Compind-2.2/Compind/NEWS                          |   10 +-
 Compind-2.2/Compind/R/bandwidth_CI.R              |    9 -
 Compind-2.2/Compind/R/ci_ampi.R                   |  102 +++++++---------------
 Compind-2.2/Compind/build/vignette.rds            |binary
 Compind-2.2/Compind/inst/doc/Compind_vignette.pdf |binary
 Compind-2.2/Compind/man/EU_2020.Rd                |    4 
 Compind-2.2/Compind/man/bandwidth_CI.Rd           |   12 +-
 Compind-2.2/Compind/man/ci_ampi.Rd                |   10 +-
 Compind-2.2/Compind/man/ci_rbod_constr_bad.Rd     |    6 -
 Compind-2.2/Compind/man/ci_rbod_constr_bad_Q.Rd   |    2 
 18 files changed, 78 insertions(+), 113 deletions(-)

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New package aRchi with initial version 1.0.3
Package: aRchi
Title: Quantitative Structural Model ('QSM') Treatment for Tree Architecture
Version: 1.0.3
Author: Olivier Martin
Maintainer: Olivier Martin <oli.martin@ntymail.com>
Description: Provides a set of tools to manipulate, visualize and compute metrics from quantitative structural model of trees (i.e the so-called 'QSM') . It can be used in various context of forest ecology (i.e biomass estimation) and tree architecture (i.e architectural metrics), see Martin-Ducup et al. (2020) <doi:10.1111/1365-2435.13678>. The package is based on a new S4 class called 'aRchi'.
License: CeCILL
Encoding: UTF-8
URL: https://github.com/umr-amap/aRchi
Imports: data.table, dplyr, plyr, nat, rgl, methods, lidR, FNN, DiceKriging, circular, pkgcond, stringr, utils, stats, progress, gtools
Collate: 'nullOrnumeric.R' 'nullOrlist.R' 'nullOrLASOrDatatable.R' 'nullOrDatatable.R' 'aRchiClass.R' 'BranchAngle.R' 'Compute_A0.R' 'Compute_Mf.R' 'DAI.R' 'ForkRate.R' 'LeonardoRatio.R' 'Make_Node.R' 'Make_Path.R' 'PathFraction.R' 'SelectinQSM_3d.R' 'TreeBiomass.R' 'Truncate_QSM.R' 'WBEparameters.R' 'WoodSurface.R' 'aRchi.R' 'add_pointcloud.R' 'angle3d.R' 'build_aRchi.R' 'clean_QSM.R' 'get_QSM.R' 'get_nodes.R' 'get_operations.R' 'get_paths.R' 'get_pointcloud.R' 'plot.R' 'read_QSM.R' 'read_aRchi.R' 'write_aRchi.R'
NeedsCompilation: no
Packaged: 2021-04-08 17:17:05 UTC; omartin
Repository: CRAN
Date/Publication: 2021-04-09 09:20:02 UTC

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Package worldmet updated to version 0.9.4 with previous version 0.9.3 dated 2021-03-29

Title: Import Surface Meteorological Data from NOAA Integrated Surface Database (ISD)
Description: Functions to import data from more than 30,000 surface meteorological sites around the world managed by the National Oceanic and Atmospheric Administration (NOAA) Integrated Surface Database (ISD, see <https://www.ncdc.noaa.gov/isd>).
Author: David Carslaw [aut, cre]
Maintainer: David Carslaw <david.carslaw@york.ac.uk>

Diff between worldmet versions 0.9.3 dated 2021-03-29 and 0.9.4 dated 2021-04-09

 worldmet-0.9.3/worldmet/R/sysdata.rda     |only
 worldmet-0.9.3/worldmet/inst              |only
 worldmet-0.9.4/worldmet/DESCRIPTION       |   14 ++-
 worldmet-0.9.4/worldmet/MD5               |   20 ++---
 worldmet-0.9.4/worldmet/NAMESPACE         |    3 
 worldmet-0.9.4/worldmet/R/exportADMS.R    |   50 ++++++++----
 worldmet-0.9.4/worldmet/R/getMeta.R       |    7 -
 worldmet-0.9.4/worldmet/R/metNOAA.R       |   75 +++++++++---------
 worldmet-0.9.4/worldmet/R/zzz.R           |    2 
 worldmet-0.9.4/worldmet/README.md         |  119 +++++++++++++++++++++---------
 worldmet-0.9.4/worldmet/man/figures       |only
 worldmet-0.9.4/worldmet/man/importNOAA.Rd |   14 ++-
 12 files changed, 187 insertions(+), 117 deletions(-)

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New package TidyMultiqc with initial version 0.1.0
Package: TidyMultiqc
Title: Converts 'MultiQC' Reports into Tidy Data Frames
Version: 0.1.0
Author: Michael Milton
Maintainer: Michael Milton <michael.r.milton@gmail.com>
Description: Provides the means to convert 'multiqc_data.json' files, produced by the wonderful 'MultiQC' tool, into tidy data frames for downstream analysis in R. This analysis might involve cohort analysis, quality control visualisation, change-point detection, statistical process control, clustering, or any other type of quality analysis.
License: GPL (>= 3)
Encoding: UTF-8
Imports: assertthat, dplyr, HistDat (>= 0.2.0), jsonlite, magrittr, purrr, rlang, stringr, tibble
Suggests: tidyr, testthat (>= 3.0.0), knitr, rmarkdown, ggplot2
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-04-08 16:10:02 UTC; michael
Repository: CRAN
Date/Publication: 2021-04-09 09:00:02 UTC

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New package SurvHiDim with initial version 0.1.0
Title: High Dimensional Survival Data Analysis
Package: SurvHiDim
Version: 0.1.0
Date: 2021-04-07
Description: High dimensional time to events data analysis with variable selection technique. Currently support LASSO, clustering and Bonferroni's correction.
RdMacros: Rdpack
LazyDataCompression: xz
ByteCompile: Yes
Authors@R: c(person(("Atanu"), "Bhattacharjee", email="atanustat@gmail.com", role=c("aut", "cre","ctb")), person(("Akash"), "Pawar", role=c("aut","ctb")))
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0)
Imports: survival, utils, Rdpack (>= 0.7), readr, tidyverse, glmnet, factoextra, igraph, useful
Maintainer: Atanu Bhattacharjee <atanustat@gmail.com>
NeedsCompilation: no
Packaged: 2021-04-08 09:01:43 UTC; Dell
Author: Atanu Bhattacharjee [aut, cre, ctb], Akash Pawar [aut, ctb]
Repository: CRAN
Date/Publication: 2021-04-09 08:40:02 UTC

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New package IRCcheck with initial version 1.0.0
Package: IRCcheck
Title: Irrepresentable Condition Check
Version: 1.0.0
Date: 2021-04-01
Authors@R: person(given = "Donald", family = "Williams", role = c("aut", "cre"), email = "drwwilliams@ucdavis.edu")
Description: Check the irrepresentable condition (IRC) in both L1-regularized regression <doi:10.1109/TIT.2006.883611> and Gaussian graphical models. The IRC requires that the important and unimportant variables are not correlated, at least not all that much, and it is necessary for consistent model selection. Exploring the IRC as a function of the number of variables, assumed sparsity, and effect size can provide valuable insights into the model selection properties of L1-regularization.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: glmnet, MASS, Rdpack, GGMncv, corpcor, parallel
RdMacros: Rdpack,
NeedsCompilation: no
Packaged: 2021-04-08 15:24:17 UTC; Donny
Author: Donald Williams [aut, cre]
Maintainer: Donald Williams <drwwilliams@ucdavis.edu>
Repository: CRAN
Date/Publication: 2021-04-09 09:00:05 UTC

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New package eat with initial version 0.1.0
Package: eat
Title: Efficiency Analysis Trees
Version: 0.1.0
Authors@R: c( person(given = "Miriam", family = "Esteve", role = c("cre", "aut"), email = "miriam.estevec@umh.es", comment = c(ORCID = "0000-0002-5908-0581")), person(given = "Víctor", family = "España", role = c("aut")), person(given = "Juan", family = "Aparicio", role = c("aut"), comment = c(ORCID = "0000-0002-0867-0004")), person(given = "Xavier", family = "Barber", role = c("aut"), comment = c(ORCID = "0000-0003-3079-5855")) )
Description: Functions are provided to determine production frontiers and technical efficiency measures through non-parametric techniques based upon regression trees. The package includes code for estimating radial input, output, directional and additive measures, plotting graphical representations of the scores and the production frontiers by means of trees, and determining rankings of importance of input variables in the analysis. Additionally, an adaptation of Random Forest by a set of individual Efficiency Analysis Trees for estimating technical efficiency is also included. More details in: <doi:10.1016/j.eswa.2020.113783>.
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: dplyr, conflicted, stats, knitr, ggplot2, ggparty, partykit, ggrepel, Rdpack, lpSolveAPI, utils, reshape2
Suggests: rmarkdown, testthat, kableExtra, usethis, devtools
RdMacros: Rdpack
VignetteBuilder: knitr
Depends: R (>= 2.10)
URL: https://efficiencytools.wordpress.com/
BugReports: https://github.com/MiriamEsteve/EAT/issues
NeedsCompilation: no
Packaged: 2021-04-08 10:52:59 UTC; victo
Author: Miriam Esteve [cre, aut] (<https://orcid.org/0000-0002-5908-0581>), Víctor España [aut], Juan Aparicio [aut] (<https://orcid.org/0000-0002-0867-0004>), Xavier Barber [aut] (<https://orcid.org/0000-0003-3079-5855>)
Maintainer: Miriam Esteve <miriam.estevec@umh.es>
Repository: CRAN
Date/Publication: 2021-04-09 08:50:02 UTC

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Package cglasso updated to version 2.0.4 with previous version 2.0.3 dated 2021-04-06

Title: Conditional Graphical LASSO for Gaussian Graphical Models with Censored and Missing Values
Description: Conditional graphical lasso estimator is an extension of the graphical lasso proposed to estimate the conditional dependence structure of a set of p response variables given q predictors. This package provides suitable extensions developed to study datasets with censored and/or missing values. Standard conditional graphical lasso is available as a special case. Furthermore, the package provides an integrated set of core routines for visualization, analysis, and simulation of datasets with censored and/or missing values drawn from a Gaussian graphical model. Details about the implemented models can be found in Augugliaro et al. (2020b) <doi: 10.1007/s11222-020-09945-7>, Augugliaro et al. (2020a) <doi: 10.1093/biostatistics/kxy043>, Yin et al. (2001) <doi: 10.1214/11-AOAS494> and Stadler et al. (2012) <doi: 10.1007/s11222-010-9219-7>.
Author: Luigi Augugliaro [aut, cre] (<https://orcid.org/0000-0002-4603-7541>), Gianluca Sottile [aut] (<https://orcid.org/0000-0001-9347-7251>), Ernst C. Wit [aut] (<https://orcid.org/0000-0002-3671-9610>), Veronica Vinciotti [aut] (<https://orcid.org/0000-0002-2625-7977>)
Maintainer: Luigi Augugliaro <luigi.augugliaro@unipa.it>

Diff between cglasso versions 2.0.3 dated 2021-04-06 and 2.0.4 dated 2021-04-09

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New package bmggum with initial version 0.1.0
Package: bmggum
Title: Bayesian Multidimensional Generalized Graded Unfolding Model
Version: 0.1.0
Date: 2021-4-8
Authors@R: c(person(given = "Naidan", family = "Tu", role = c("aut", "cre"), email = "naidantu@usf.edu"), person(given = "Bo", family = "Zhang", role = c("aut"), email = "bozhang3065@gmail.com"))
Description: Full Bayesian estimation of Multidimensional Generalized Graded Unfolding Model (MGGUM) using 'rstan' (See Stan Development Team (2020) <https://mc-stan.org/>). Functions are provided for estimation, result extraction, model fit statistics, and plottings.
License: GPL (>= 3)
Encoding: UTF-8
Biarch: true
Depends: R (>= 3.4.0)
Imports: methods, Rcpp (>= 0.12.0), RcppParallel (>= 5.0.1), rstan (>= 2.18.1), rstantools (>= 2.1.1), edstan, ggplot2, GGUM, loo, stats
LinkingTo: BH (>= 1.66.0), Rcpp (>= 0.12.0), RcppEigen (>= 0.3.3.3.0), RcppParallel (>= 5.0.1), rstan (>= 2.18.1), StanHeaders (>= 2.18.0)
SystemRequirements: GNU make
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/Naidantu/bmggum
BugReports: https://github.com/Naidantu/bmggum/issues
NeedsCompilation: yes
Packaged: 2021-04-08 14:16:41 UTC; NaidanTu
Author: Naidan Tu [aut, cre], Bo Zhang [aut]
Maintainer: Naidan Tu <naidantu@usf.edu>
Repository: CRAN
Date/Publication: 2021-04-09 08:50:06 UTC

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New package biblionetwork with initial version 0.1.0
Package: biblionetwork
Title: Create Different Types of Bibliometric Networks
Version: 0.1.0
Date: 2021-04-08
Authors@R: c( person(given = "Aurélien", family = "Goutsmedt", role = c("cre","aut"), email = "agoutsmedt@hotmail.fr", comment = c(ORCID = "0000-0002-3788-7237")), person(given = "François", family = "Claveau", role = c("aut"), email = "françois.claveau@usherbrooke.ca", comment = c(ORCID = "0000-0001-7129-7794")), person(given = "Alexandre", family = "Truc", role = c("aut"), email = "alexandre.truc77@gmail.com", comment = c(ORCID = "0000-0002-1328-7819")))
Maintainer: Aurélien Goutsmedt <agoutsmedt@hotmail.fr>
Description: Functions to find edges for bibliometric networks like bibliographic coupling network, co-citation network and co-authorship network. The weights of network edges can be calculated according to different methods, depending on the type of networks, the type of nodes, and what you want to analyse. These functions are optimized to be be used on large dataset. The package contains functions inspired by: Leydesdorff, Loet and Park, Han Woo (2017) <doi:10.1016/j.joi.2016.11.007>; Perianes-Rodriguez, Antonio, Ludo Waltman, and Nees Jan Van Eck (2016) <doi:10.1016/j.joi.2016.10.006>; Sen, Subir K. and Shymal K. Gan (1983) <http://nopr.niscair.res.in/handle/123456789/28008>; Shen, Si, Zhu, Danhao, Rousseau, Ronald, Su, Xinning and Wang, Dongbo (2019) <doi:10.1016/j.joi.2019.01.012>; Zhao, Dangzhi and Strotmann, Andreas (2008) <doi:10.1002/meet.2008.1450450292>.
URL: https://github.com/agoutsmedt/biblionetwork, https://agoutsmedt.github.io/biblionetwork/
BugReports: https://github.com/agoutsmedt/biblionetwork/issues
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: data.table, Rdpack (>= 0.7)
Depends: R (>= 2.10)
RdMacros: Rdpack
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-04-08 08:04:00 UTC; agout
Author: Aurélien Goutsmedt [cre, aut] (<https://orcid.org/0000-0002-3788-7237>), François Claveau [aut] (<https://orcid.org/0000-0001-7129-7794>), Alexandre Truc [aut] (<https://orcid.org/0000-0002-1328-7819>)
Repository: CRAN
Date/Publication: 2021-04-09 08:20:07 UTC

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Package EMpeaksR (with last version 0.1.0) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2021-04-09 0.1.0

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Package yorkr updated to version 0.0.20 with previous version 0.0.19 dated 2021-02-03

Title: Analyze Cricket Performances Based on Data from Cricsheet
Description: Analyzing performances of cricketers and cricket teams based on 'yaml' match data from Cricsheet <https://cricsheet.org/>.
Author: Tinniam V Ganesh
Maintainer: Tinniam V Ganesh <tvganesh.85@gmail.com>

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Package simplevis updated to version 2.6.0 with previous version 2.4.0 dated 2021-03-12

Title: Simple Visualisation with 'ggplot2' and 'leaflet' Wrappers
Description: Wrapper functions to make 'ggplot2' and 'leaflet' visualisation easier and prettier.
Author: David Hodge [aut, cre] (<https://orcid.org/0000-0002-3868-7501>), Statistics New Zealand [cph]
Maintainer: David Hodge <davidhodge931@gmail.com>

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Package Lahman updated to version 9.0-0 with previous version 8.0-1 dated 2021-01-21

Title: Sean 'Lahman' Baseball Database
Description: Provides the tables from the 'Sean Lahman Baseball Database' as a set of R data.frames. It uses the data on pitching, hitting and fielding performance and other tables from 1871 through 2019, as recorded in the 2020 version of the database. Documentation examples show how many baseball questions can be investigated.
Author: Michael Friendly [aut], Chris Dalzell [cre, aut], Martin Monkman [aut], Dennis Murphy [aut], Vanessa Foot [ctb], Justeena Zaki-Azat [ctb]
Maintainer: Chris Dalzell <cdalzell@gmail.com>

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Package correlation updated to version 0.6.1 with previous version 0.6.0 dated 2021-02-12

Title: Methods for Correlation Analysis
Description: Lightweight package for computing different kinds of correlations, such as partial correlations, Bayesian correlations, multilevel correlations, polychoric correlations, biweight correlations, distance correlations and more. Part of the 'easystats' ecosystem.
Author: Dominique Makowski [aut, inv] (<https://orcid.org/0000-0001-5375-9967>), Indrajeet Patil [aut, cre] (<https://orcid.org/0000-0003-1995-6531>, @patilindrajeets), Daniel Lüdecke [aut] (<https://orcid.org/0000-0002-8895-3206>), Mattan S. Ben-Shachar [aut] (<https://orcid.org/0000-0002-4287-4801>)
Maintainer: Indrajeet Patil <patilindrajeet.science@gmail.com>

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Package rNeighborQTL updated to version 1.1.2 with previous version 1.1.1 dated 2020-11-12

Title: Interval Mapping for Quantitative Trait Loci Underlying Neighbor Effects
Description: To enable quantitative trait loci mapping of neighbor effects, this package extends a single-marker regression to interval mapping. The theoretical background of the method is described in Sato et al. (2021) <doi:10.1093/g3journal/jkab017>.
Author: Yasuhiro Sato [aut, cre] (<https://orcid.org/0000-0002-6466-723X>), Kazuya Takeda [aut], Atsushi J. Nagano [aut] (<https://orcid.org/0000-0001-7891-5049>)
Maintainer: Yasuhiro Sato <sato.yasuhiro.36c@kyoto-u.jp>

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Package PakPMICS2014Wm updated to version 0.1.1 with previous version 0.1.0 dated 2017-09-07

Title: Multiple Indicator Cluster Survey (MICS) 2014 Women Questionnaire Data for Punjab, Pakistan
Description: Provides data set and function for exploration of Multiple Indicator Cluster Survey 2014 Women (age 15-49 years) questionnaire data for Punjab, Pakistan.
Author: Muhammad Yaseen [aut, cre], Muhammad Usman [ctb]
Maintainer: Muhammad Yaseen <myaseen208@gmail.com>

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Package PakPMICS2014HL updated to version 0.1.1 with previous version 0.1.0 dated 2017-09-07

Title: Multiple Indicator Cluster Survey (MICS) 2014 Household Listing Questionnaire Data for Punjab, Pakistan
Description: Provides data set and function for exploration of Multiple Indicator Cluster Survey 2014 Household Listing questionnaire data for Punjab, Pakistan.
Author: Muhammad Yaseen [aut, cre], Muhammad Usman [ctb]
Maintainer: Muhammad Yaseen <myaseen208@gmail.com>

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Package minidown updated to version 0.1.1 with previous version 0.1.0 dated 2021-04-04

Title: Create Simple Yet Powerful HTML Documents with Light Weight CSS Frameworks
Description: Create minimal, responsive, and style-agnostic HTML documents with the lightweight CSS frameworks such as 'sakura', 'Water.css', and 'spcss'. Powerful features include table of contents floating as a sidebar, folding codes and results, and more.
Author: Atsushi Yasumoto [aut, cph, cre] (<https://orcid.org/0000-0002-8335-495X>), Angelos Chalaris [aut] (mini.css), Susam Pal [aut] (spcss), Mitesh Shah [aut] (sakura), Kognise [aut] (Water.css)
Maintainer: Atsushi Yasumoto <atusy.rpkg@gmail.com>

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Package BET updated to version 0.3.6 with previous version 0.3.5 dated 2021-04-02

Title: Binary Expansion Testing
Description: Nonparametric detection of nonuniformity and dependence with Binary Expansion Testing (BET). See Kai Zhang (2019) BET on Independence, Journal of the American Statistical Association, 114:528, 1620-1637, <DOI:10.1080/01621459.2018.1537921> and Zhigen Zhao, Michael Baiocchi, Kai Zhang. SorBET: A Fast and Powerful Algorithm to Test Dependence of Variables.
Author: Wan Zhang [aut, cre], Zhigen Zhao [aut], Michael Baiocchi [aut], Kai Zhang [aut]
Maintainer: Wan Zhang <wanz63@live.unc.edu>

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Package rsconnect updated to version 0.8.17 with previous version 0.8.16 dated 2019-12-13

Title: Deployment Interface for R Markdown Documents and Shiny Applications
Description: Programmatic deployment interface for 'RPubs', 'shinyapps.io', and 'RStudio Connect'. Supported content types include R Markdown documents, Shiny applications, Plumber APIs, plots, and static web content.
Author: JJ Allaire
Maintainer: Jonathan McPherson <jonathan@rstudio.com>

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Package EGRET updated to version 3.0.5 with previous version 3.0.2 dated 2019-02-08

Title: Exploration and Graphics for RivEr Trends
Description: Statistics and graphics for streamflow history, water quality trends, and the statistical modeling algorithm: Weighted Regressions on Time, Discharge, and Season (WRTDS). The modeling method is introduced and discussed in Hirsch et al. (2010) <doi:10.1111/j.1752-1688.2010.00482.x>, and expanded in Hirsch and De Cicco (2015) <doi:10.3133/tm4A10>.
Author: Robert Hirsch [aut] (<https://orcid.org/0000-0002-4534-075X>), Laura DeCicco [aut, cre] (<https://orcid.org/0000-0002-3915-9487>), Tim Cohn [ctb], David Watkins [ctb], Lindsay Carr [ctb], Jennifer Murphy [ctb]
Maintainer: Laura DeCicco <ldecicco@usgs.gov>

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More information about EGRET at CRAN
Permanent link

Package CHNOSZ updated to version 1.4.1 with previous version 1.4.0 dated 2020-11-11

Title: Thermodynamic Calculations and Diagrams for Geochemistry
Description: An integrated set of tools for thermodynamic calculations in aqueous geochemistry and geobiochemistry. Functions are provided for writing balanced reactions to form species from user-selected basis species and for calculating the standard molal properties of species and reactions, including the standard Gibbs energy and equilibrium constant. Calculations of the non-equilibrium chemical affinity and equilibrium chemical activity of species can be portrayed on diagrams as a function of temperature, pressure, or activity of basis species; in two dimensions, this gives a maximum affinity or predominance diagram. The diagrams have formatted chemical formulas and axis labels, and water stability limits can be added to Eh-pH, oxygen fugacity- temperature, and other diagrams with a redox variable. The package has been developed to handle common calculations in aqueous geochemistry, such as solubility due to complexation of metal ions, mineral buffers of redox or pH, and changing the basis species across a diagram ("mosaic diagrams"). CHNOSZ also has unique capabilities for comparing the compositional and thermodynamic properties of different proteins.
Author: Jeffrey Dick [aut, cre] (<https://orcid.org/0000-0002-0687-5890>)
Maintainer: Jeffrey Dick <j3ffdick@gmail.com>

Diff between CHNOSZ versions 1.4.0 dated 2020-11-11 and 1.4.1 dated 2021-04-09

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More information about CHNOSZ at CRAN
Permanent link

Thu, 08 Apr 2021

Package epitweetr updated to version 0.1.28 with previous version 0.1.24 dated 2020-10-23

Title: Early Detection of Public Health Threats from Twitter Data
Description: It allows you to automatically monitor trends of tweets by time, place and topic aiming at detecting public health threats early through the detection of signals (e.g. an unusual increase in the number of tweets). It was designed to focus on infectious diseases, and it can be extended to all hazards or other fields of study by modifying the topics and keywords.
Author: Francisco Orchard [aut, ctr] (<https://orcid.org/0000-0001-5793-3301>, Author of the package and original code), Laura Espinosa [aut, cre, fnd] (<https://orcid.org/0000-0003-0748-9657>, Project manager, author of the design and concept of the package, and package maintainer), Ariana Wijermans [ctb] (Contributor to the design and concept of the package), Thomas Mollet [ctb, fnd] (Business owner of the project, and contributor to the design and concept of the package), Adrian Prodan [ctb], Thomas Czernichow [ctb], Maria Prieto Gonzalez [ctb], Esther Kissling [ctb], Michael Höhle [ctb]
Maintainer: Laura Espinosa <laura.espinosa@ecdc.europa.eu>

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Package vtable updated to version 1.3.1 with previous version 1.2.7 dated 2021-03-01

Title: Variable Table for Variable Documentation
Description: Automatically generates HTML variable documentation including variable names, labels, classes, value labels (if applicable), value ranges, and summary statistics. See the vignette "vtable" for a package overview.
Author: Nick Huntington-Klein [aut, cre]
Maintainer: Nick Huntington-Klein <nhuntington-klein@seattleu.edu>

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Package TPLSr updated to version 1.0.3 with previous version 1.0.1 dated 2020-11-02

Title: Thresholded Partial Least Squares Model for Neuroimaging Data
Description: Uses thresholded partial least squares algorithm to create a regression or classification model. For more information, see Lee, Bradlow, and Kable <doi:10.1101/2021.02.09.430524>.
Author: Sangil Lee [aut, cre]
Maintainer: Sangil Lee <sangillee3rd@gmail.com>

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Package sensobol updated to version 1.0.1 with previous version 1.0.0 dated 2021-01-26

Title: Computation of Variance-Based Sensitivity Indices
Description: It allows to rapidly compute, bootstrap and plot up to third-order Sobol'-based sensitivity indices using several state-of-the-art first and total-order estimators. Sobol' indices can be computed either for models that yield a scalar as a model output or for systems of differential equations. The package also provides a suit of benchmark tests functions and several options to obtain publication-ready figures of the model output uncertainty and sensitivity-related analysis. An overview of Sobol'-based sensitivity indices can be found in Saltelli et al. (2008, ISBN:9780470059975) and in Puy, Lo Piano, Saltelli, and Levin (2021) <arXiv:2101.10103>.
Author: Arnald Puy [aut, cre] (<https://orcid.org/0000-0001-9469-2156>), Bertrand Ioos [ctb] (Author of included 'sensitivity' fragments), Gilles Pujol [ctb] (Author of included 'sensitivity' fragments), RStudio [cph] (Copyright holder of included 'sensitivity' fragments)
Maintainer: Arnald Puy <arnald.puy@pm.me>

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Package rdwd updated to version 1.5.0 with previous version 1.4.0 dated 2020-08-01

Title: Select and Download Climate Data from 'DWD' (German Weather Service)
Description: Handle climate data from the 'DWD' ('Deutscher Wetterdienst', see <https://www.dwd.de/EN/climate_environment/cdc/cdc_node_en.html> for more information). Choose observational time series from meteorological stations with 'selectDWD()'. Find raster data from radar and interpolation according to <https://bookdown.org/brry/rdwd/raster-data.html>. Download (multiple) data sets with progress bars and no re-downloads through 'dataDWD()'. Read both tabular observational data and binary gridded datasets with 'readDWD()'.
Author: Berry Boessenkool
Maintainer: Berry Boessenkool <berry-b@gmx.de>

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Package presize updated to version 0.2.3 with previous version 0.1.3 dated 2020-09-02

Title: Precision Based Sample Size Calculation
Description: Bland (2009) <doi:10.1136/bmj.b3985> recommended to base study sizes on the width of the confidence interval rather the power of a statistical test. The goal of 'presize' is to provide functions for such precision based sample size calculations. For a given sample size, the functions will return the precision (width of the confidence interval), and vice versa.
Author: Armando Lenz [aut], Alan G. Haynes [cre, aut], Andreas Limacher [aut], Odile Stalder [ctb]
Maintainer: Alan G. Haynes <alan.haynes@ctu.unibe.ch>

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Package PReMiuM updated to version 3.2.5 with previous version 3.2.3 dated 2019-11-02

Title: Dirichlet Process Bayesian Clustering, Profile Regression
Description: Bayesian clustering using a Dirichlet process mixture model. This model is an alternative to regression models, non-parametrically linking a response vector to covariate data through cluster membership. The package allows Bernoulli, Binomial, Poisson, Normal, survival and categorical response, as well as Normal and discrete covariates. It also allows for fixed effects in the response model, where a spatial CAR (conditional autoregressive) term can be also included. Additionally, predictions may be made for the response, and missing values for the covariates are handled. Several samplers and label switching moves are implemented along with diagnostic tools to assess convergence. A number of R functions for post-processing of the output are also provided. In addition to fitting mixtures, it may additionally be of interest to determine which covariates actively drive the mixture components. This is implemented in the package as variable selection. The main reference for the package is Liverani, Hastie, Azizi, Papathomas and Richardson (2015) <doi:10.18637/jss.v064.i07>.
Author: David I. Hastie, Silvia Liverani <liveranis@gmail.com> and Sylvia Richardson with contributions from Aurore J. Lavigne, Lucy Leigh, Lamiae Azizi, Xi Liu, Ruizhu Huang, Austin Gratton, Wei Jing
Maintainer: Silvia Liverani <liveranis@gmail.com>

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Package percentiles updated to version 0.2.2 with previous version 0.2.1 dated 2021-02-15

Title: Calculate (Stratified) Percentiles
Description: Calculate (stratified) percentiles on a data.frame Stratification will split the data.frame into subgroups and calculate percentiles for each independently.
Author: J. Peter Marquardt <peter@kmarquardt.de> [aut, cre]
Maintainer: J. Peter Marquardt <peter@kmarquardt.de>

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Package parameters updated to version 0.13.0 with previous version 0.12.0 dated 2021-02-21

Title: Processing of Model Parameters
Description: Utilities for processing the parameters of various statistical models. Beyond computing p values, CIs, and other indices for a wide variety of models (see support list of insight; Lüdecke, Waggoner & Makowski (2019) <doi:10.21105/joss.01412>), this package implements features like bootstrapping or simulating of parameters and models, feature reduction (feature extraction and variable selection) as well as functions to describe data and variable characteristics (e.g. skewness, kurtosis, smoothness or distribution).
Author: Daniel Lüdecke [aut, cre] (<https://orcid.org/0000-0002-8895-3206>, @strengejacke), Dominique Makowski [aut] (<https://orcid.org/0000-0001-5375-9967>), Mattan S. Ben-Shachar [aut] (<https://orcid.org/0000-0002-4287-4801>), Indrajeet Patil [aut] (<https://orcid.org/0000-0003-1995-6531>, @patilindrajeets), Søren Højsgaard [aut], Zen J. Lau [ctb], Vincent Arel-Bundock [ctb] (<https://orcid.org/0000-0003-1995-6531>, @vincentab), Jeffrey Girard [ctb] (<https://orcid.org/0000-0002-7359-3746>, @jeffreymgirard)
Maintainer: Daniel Lüdecke <d.luedecke@uke.de>

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Package HRW updated to version 1.0-4 with previous version 1.0-3 dated 2019-02-11

Title: Datasets, Functions and Scripts for Semiparametric Regression Supporting Harezlak, Ruppert & Wand (2018)
Description: The book "Semiparametric Regression with R" by J. Harezlak, D. Ruppert & M.P. Wand (2018, Springer; ISBN: 978-1-4939-8851-8) makes use of datasets and scripts to explain semiparametric regression concepts. Each of the book's scripts are contained in this package as well as datasets that are not within other R packages. Functions that aid semiparametric regression analysis are also included.
Author: Jaroslaw Harezlak [aut], David Ruppert [aut], Matt P. Wand [aut, cre]
Maintainer: Matt P. Wand <matt.wand@uts.edu.au>

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Package DHARMa updated to version 0.4.1 with previous version 0.4.0 dated 2021-03-28

Title: Residual Diagnostics for Hierarchical (Multi-Level / Mixed) Regression Models
Description: The 'DHARMa' package uses a simulation-based approach to create readily interpretable scaled (quantile) residuals for fitted (generalized) linear mixed models. Currently supported are linear and generalized linear (mixed) models from 'lme4' (classes 'lmerMod', 'glmerMod'), 'glmmTMB' 'GLMMadaptive' and 'spaMM', generalized additive models ('gam' from 'mgcv'), 'glm' (including 'negbin' from 'MASS', but excluding quasi-distributions) and 'lm' model classes. Moreover, externally created simulations, e.g. posterior predictive simulations from Bayesian software such as 'JAGS', 'STAN', or 'BUGS' can be processed as well. The resulting residuals are standardized to values between 0 and 1 and can be interpreted as intuitively as residuals from a linear regression. The package also provides a number of plot and test functions for typical model misspecification problems, such as over/underdispersion, zero-inflation, and residual spatial and temporal autocorrelation.
Author: Florian Hartig [aut, cre] (<https://orcid.org/0000-0002-6255-9059>), Lukas Lohse [ctb]
Maintainer: Florian Hartig <florian.hartig@biologie.uni-regensburg.de>

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Package rfishbase updated to version 3.1.7 with previous version 3.1.6 dated 2021-02-10

Title: R Interface to 'FishBase'
Description: A programmatic interface to 'FishBase', re-written based on an accompanying 'RESTful' API. Access tables describing over 30,000 species of fish, their biology, ecology, morphology, and more. This package also supports experimental access to 'SeaLifeBase' data, which contains nearly 200,000 species records for all types of aquatic life not covered by 'FishBase.'
Author: Carl Boettiger [cre, aut] (<https://orcid.org/0000-0002-1642-628X>), Scott Chamberlain [aut] (<https://orcid.org/0000-0003-1444-9135>), Duncan Temple Lang [aut], Peter Wainwright [aut], Kevin Cazelles [ctb] (<https://orcid.org/0000-0001-6619-9874>)
Maintainer: Carl Boettiger <cboettig@gmail.com>

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Package lazytrade updated to version 0.5.1 with previous version 0.4.5 dated 2021-03-15

Title: Learn Computer and Data Science using Algorithmic Trading
Description: Provide sets of functions and methods to learn and practice data science using idea of algorithmic trading. Main goal is to process information within "Decision Support System" to come up with analysis or predictions. There are several utilities such as dynamic and adaptive risk management using reinforcement learning and even functions to generate predictions of price changes using pattern recognition deep regression learning. Summary of Methods used: Awesome H2O tutorials: <https://github.com/h2oai/awesome-h2o>, Market Type research of Van Tharp Institute: <https://www.vantharp.com/>, Reinforcement Learning R package: <https://CRAN.R-project.org/package=ReinforcementLearning>.
Author: Vladimir Zhbanko
Maintainer: Vladimir Zhbanko <vladimir.zhbanko@gmail.com>

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Package SUNGEO updated to version 0.2.22 with previous version 0.2.1 dated 2021-02-10

Title: Sub-National Geospatial Data Archive: Geoprocessing Toolkit
Description: Tools for integrating spatially-misaligned GIS datasets. Part of the Sub-National Geospatial Data Archive System (<https://www.nsf.gov/awardsearch/showAward?AWD_ID=1925693&HistoricalAwards=false>).
Author: Jason Byers, Marty Davidson, Yuri M. Zhukov
Maintainer: Yuri M. Zhukov <zhukov@umich.edu>

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Package pewdata updated to version 0.3.2 with previous version 0.3.1 dated 2020-02-05

Title: Reproducible Retrieval of Pew Research Center Datasets
Description: Reproducible, programmatic retrieval of survey datasets from the Pew Research Center.
Author: Frederick Solt [aut, cre], Yue Hu [aut], Eric Persson [ctb]
Maintainer: Frederick Solt <frederick-solt@uiowa.edu>

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Package PSS.Health updated to version 0.1.6 with previous version 0.1.5 dated 2020-11-30

Title: Power and Sample Size for Health Researchers via Shiny
Description: Power and Sample Size for Health Researchers is a Shiny application that brings together a series of functions related to sample size and power calculations for common analysis in the healthcare field. There are functionalities to calculate the power, sample size to estimate or test hypotheses for means and proportions (including test for correlated groups, equivalence, non-inferiority and superiority), association, Pearson's correlation coefficient, regression coefficients (linear, logistic and Cox), linear mixed model, Cronbach's alpha, interobserver agreement, intraclass correlation coefficients, limit of agreement on Bland-Altman plots, area under the curve, sensitivity and specificity incorporating the prevalence of disease. You can also use the online version at <https://hcpa-unidade-bioestatistica.shinyapps.io/PSS_Health/>.
Author: Rogério Boff Borges [aut, cre] (<https://orcid.org/0000-0002-2548-1889>), Guilherme Serpa Azambuja [aut] (<https://orcid.org/0000-0001-6246-4538>), Aline Castello Branco Mancuso [aut] (<https://orcid.org/0000-0001-6033-8335>), Vanessa Bielefeldt Leotti [aut] (<https://orcid.org/0000-0003-3860-9367>), Vânia Naomi Hirakata [aut] (<https://orcid.org/0000-0003-4645-2080>), Suzi Alves Camey [aut] (<https://orcid.org/0000-0002-5564-081X>), Stela Maris de Jezus Castro [aut] (<https://orcid.org/0000-0001-5862-6709>), Hospital de Clínicas de Porto Alegre [fnd]
Maintainer: Rogério Boff Borges <roborges@hcpa.edu.br>

Diff between PSS.Health versions 0.1.5 dated 2020-11-30 and 0.1.6 dated 2021-04-08

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Package neonstore updated to version 0.4.2 with previous version 0.4.0 dated 2021-03-08

Title: NEON Data Store
Description: The National Ecological Observatory Network (NEON) provides access to its numerous data products through its REST API, <https://data.neonscience.org/data-api/>. This package provides a high-level user interface for downloading and storing NEON data products. While each of NEON data products consist of hundreds or thousands of individual files. Unlike 'neonUtilities', this package will avoid repeated downloading, provides persistent storage, and improves performance. 'neonstore' can also construct a local 'duckdb' database of stacked tables, making it possible to work with tables that are far to big to fit into memory.
Author: Carl Boettiger [aut, cre] (<https://orcid.org/0000-0002-1642-628X>), Quinn Thomas [aut] (<https://orcid.org/0000-0003-1282-7825>), Christine Laney [aut] (<https://orcid.org/0000-0002-4944-2083>), Claire Lunch [aut] (<https://orcid.org/0000-0001-8753-6593>), Noam Ross [ctb] (<https://orcid.org/0000-0002-2136-0000>)
Maintainer: Carl Boettiger <cboettig@gmail.com>

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Package GALLO updated to version 1.2 with previous version 1.1 dated 2020-11-06

Title: Genomic Annotation in Livestock for Positional Candidate LOci
Description: The accurate annotation of genes and Quantitative Trait Loci (QTLs) located within candidate markers and/or regions (haplotypes, windows, CNVs, etc) is a crucial step the most common genomic analyses performed in livestock, such as Genome-Wide Association Studies or transcriptomics. The Genomic Annotation in Livestock for positional candidate LOci (GALLO) is an R package designed to provide an intuitive and straightforward environment to annotate positional candidate genes and QTLs from high-throughput genetic studies in livestock. Moreover, GALLO allows the graphical visualization of gene and QTL annotation results, data comparison among different grouping factors (e.g., methods, breeds, tissues, statistical models, studies, etc.), and QTL enrichment in different livestock species including cattle, pigs, sheep, and chicken, among others.
Author: Pablo Fonseca [aut, cre], Aroa Suarez-Vega [aut], Gabriele Marras [aut], Angela Cánovas [aut]
Maintainer: Pablo Fonseca <pfonseca@uoguelph.ca>

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Package bpDir updated to version 0.1.2 with previous version 0.1.1 dated 2020-05-06

Title: Boxplots for Directional Data
Description: Functions for drawing boxplots for data on (the boundary of) a unit circle (i.e., circular and axial data), from Buttarazzi D., Pandolfo G., Porzio G.C. (2018) <doi:10.1111/biom.12889>.
Author: Davide Buttarazzi [aut, cre]
Maintainer: Davide Buttarazzi <davidebuttarazzi@outlook.com>

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Package RxODE updated to version 1.0.7 with previous version 1.0.6 dated 2021-03-21

Title: Facilities for Simulating from ODE-Based Models
Description: Facilities for running simulations from ordinary differential equation ('ODE') models, such as pharmacometrics and other compartmental models. A compilation manager translates the ODE model into C, compiles it, and dynamically loads the object code into R for improved computational efficiency. An event table object facilitates the specification of complex dosing regimens (optional) and sampling schedules. NB: The use of this package requires both C and Fortran compilers, for details on their use with R please see Section 6.3, Appendix A, and Appendix D in the "R Administration and Installation" manual. Also the code is mostly released under GPL. The 'VODE' and 'LSODA' are in the public domain. The information is available in the inst/COPYRIGHTS.
Author: Matthew L. Fidler [aut] (<https://orcid.org/0000-0001-8538-6691>), Melissa Hallow [aut], Wenping Wang [aut, cre], Zufar Mulyukov [ctb], Alan Hindmarsh [ctb], Awad H. Al-Mohy [ctb], Matt Dowle [ctb], Cleve Moler [ctb], David Cooley [ctb], Daniel C. Dillon [ctb], Drew Schmidt [ctb], Arun Srinivasan [ctb], Ernst Hairer [ctb], Gerhard Wanner [ctb], Goro Fuji [ctb], Hadley Wickham [ctb], Jack Dongarra [ctb], Linda Petzold [ctb], Martin Maechler [ctb], Matteo Fasiolo [ctb], Morwenn [ctb], Nicholas J. Higham [ctb], Roger B. Sidje [ctb], Simon Frost [ctb], Kevin Ushey [ctb], Yu Feng [ctb]
Maintainer: Wenping Wang <wwang8198@gmail.com>

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Package RsSimulx updated to version 1.0.1 with previous version 1.0.0 dated 2021-01-21

Title: R Speaks 'Simulx'
Description: Provide useful tools which supplement the use of Simulx software and R connectors (Monolix Suite). 'Simulx' is an easy, efficient and flexible application for clinical trial simulations. You need 'Simulx' software to be installed in order to use 'RsSimulx' package. Among others tasks, 'RsSimulx' provides the same functions as package 'mlxR' does with a compatibility with 'Simulx' software.
Author: Clemence Pinaud [aut, cre], Jonathan Chauvin [aut], Marc Lavielle [ctb]
Maintainer: Clemence Pinaud <clemence.pinaud@lixoft.com>

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Package Ravages updated to version 0.1.3 with previous version 0.1.2 dated 2021-03-16

Title: Rare Variant Analysis and Genetic Simulations
Description: Rare variant association tests: burden tests (Bocher et al. 2019 <doi:10.1002/gepi.22210>) and the Sequence Kernel Association Test (Bocher et al. 2021 <doi:10.1038/s41431-020-00792-8>); and genetic simulations.
Author: Ozvan Bocher and Hervé Perdry
Maintainer: Ozvan Bocher <bocherozvan@gmail.com>

Diff between Ravages versions 0.1.2 dated 2021-03-16 and 0.1.3 dated 2021-04-08

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Package TMB updated to version 1.7.20 with previous version 1.7.19 dated 2021-02-05

Title: Template Model Builder: A General Random Effect Tool Inspired by 'ADMB'
Description: With this tool, a user should be able to quickly implement complex random effect models through simple C++ templates. The package combines 'CppAD' (C++ automatic differentiation), 'Eigen' (templated matrix-vector library) and 'CHOLMOD' (sparse matrix routines available from R) to obtain an efficient implementation of the applied Laplace approximation with exact derivatives. Key features are: Automatic sparseness detection, parallelism through 'BLAS' and parallel user templates.
Author: Kasper Kristensen [aut, cre, cph], Brad Bell [cph], Hans Skaug [ctb], Arni Magnusson [ctb], Casper Berg [ctb], Anders Nielsen [ctb], Martin Maechler [ctb], Theo Michelot [ctb], Mollie Brooks [ctb], Alex Forrence [ctb], Christoffer Moesgaard Albertsen [ctb], Cole Monnahan [ctb]
Maintainer: Kasper Kristensen <kaskr@dtu.dk>

Diff between TMB versions 1.7.19 dated 2021-02-05 and 1.7.20 dated 2021-04-08

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New package ZIprop with initial version 0.1.0
Package: ZIprop
Title: Permutations Tests and Performance Indicator for Zero-Inflated Proportions Response
Version: 0.1.0
Date: 2021-04-04
Author: Melina Ribaud
Maintainer: Melina Ribaud <melina.ribaud@gmail.com>
Description: Permutations tests to identify factor correlated to zero-inflated proportions response. Provide a performance indicator based on Spearman correlation to quantify the part of correlation explained by the selected set of factors. See details for the method at the following preprint e.g.: <https://hal.archives-ouvertes.fr/hal-02936779v3>.
URL: https://gitlab.paca.inrae.fr/meribaud/ziprop
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0), rgenoud, purrr, data.table, parallel
NeedsCompilation: no
Packaged: 2021-04-07 15:54:51 UTC; melinaribaud
Repository: CRAN
Date/Publication: 2021-04-08 12:00:02 UTC

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New package rD3plot with initial version 1.0.10
Package: rD3plot
Version: 1.0.10
Date: 2021-04-07
Title: Interactive Networks, Timelines, Barplots, Galleries with 'D3.js'
Description: Creates interactive analytic graphs with 'R'. It joins the data analysis power of R and the visualization libraries of JavaScript in one package. The package provides interactive networks, timelines, barplots, image galleries and evolving networks. Graphs are represented as 'D3.js' graphs embedded in a web page ready for its interactive analysis and exploration.
License: GPL-2 | GPL-3
Depends: R (>= 3.5.0)
Imports: igraph (>= 1.0.1)
Suggests: shiny
NeedsCompilation: no
Authors@R: c( person("Modesto", "Escobar", email = "modesto@usal.es", role = c("aut", "cph","cre"), comment = c(ORCID = "0000-0003-2072-6071")), person("Carlos", "Prieto", email = "cprietos@usal.es", role = c("aut"), comment = c(ORCID = "0000-0001-8178-9768")), person("David", "Barrios", email = "metal@usal.es", role = "aut") )
Maintainer: Modesto Escobar <modesto@usal.es>
Encoding: UTF-8
Packaged: 2021-04-07 09:23:31 UTC; Modesto
Author: Modesto Escobar [aut, cph, cre] (<https://orcid.org/0000-0003-2072-6071>), Carlos Prieto [aut] (<https://orcid.org/0000-0001-8178-9768>), David Barrios [aut]
Repository: CRAN
Date/Publication: 2021-04-08 11:20:02 UTC

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New package GGMnonreg with initial version 1.0.0
Package: GGMnonreg
Title: Non-Regularized Gaussian Graphical Models
Version: 1.0.0
Date: 2021-04-02
Authors@R: person("Donald", "Williams", email = "drwwilliams@ucdavis.edu", role = c("aut", "cre"))
Maintainer: Donald Williams <drwwilliams@ucdavis.edu>
Description: Estimate non-regularized Gaussian graphical models, Ising models, and mixed graphical models. The current methods consist of multiple regression, a non-parametric bootstrap <doi:10.1080/00273171.2019.1575716>, and Fisher z transformed partial correlations <doi:10.1111/bmsp.12173>. Parameter uncertainty, predictability, and network replicability <doi:10.31234/osf.io/fb4sa> are also implemented.
Depends: R (>= 4.0.0)
License: GPL-2
Encoding: UTF-8
Imports: Rdpack, bestglm, GGally, network, sna, Matrix, poibin, parallel, doParallel, foreach, corpcor, psych, MASS, stats, methods, ggplot2, GGMncv
Suggests: qgraph
LazyData: true
RdMacros: Rdpack
NeedsCompilation: no
Packaged: 2021-04-07 12:19:13 UTC; Donny
Author: Donald Williams [aut, cre]
Repository: CRAN
Date/Publication: 2021-04-08 11:30:06 UTC

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New package DMLLZU with initial version 0.1.0
Package: DMLLZU
Title: Double Machine Learning
Version: 0.1.0
Authors@R: c( person("Lixiong", "Yang", email = "ylx@lzu.edu.cn",role ="aut"), person("Junchang", "Zhao",email = "zhaojch19@lzu.edu.cn", role = c("aut","cre")))
Description: Yang(2020,<doi:10.1016/j.jeconom.2020.01.018>) come up with Double Machine Learning model ,it is based on this model, using four machine learning methods-- bagging, Boosting, random forest and neural network, and then based on the four models for two different combinations of the integrated model -- linear model combination and random forest .
Author: Lixiong Yang [aut], Junchang Zhao [aut, cre]
Maintainer: Junchang Zhao <zhaojch19@lzu.edu.cn>
Depends: R (>= 3.2)
Imports: rlang, gbm ,lmtest ,nnet , sandwich,randomForest,caret,ISLR
License: GPL (>= 2)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2021-04-07 12:16:46 UTC; zhao
Repository: CRAN
Date/Publication: 2021-04-08 11:30:10 UTC

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Package caracas updated to version 1.1.0 with previous version 1.0.0 dated 2020-05-21

Title: Computer Algebra
Description: Computer algebra via the 'SymPy' library (<https://www.sympy.org/>). This makes it possible to solve equations symbolically, find symbolic integrals, symbolic sums and other important quantities.
Author: Mikkel Meyer Andersen [aut, cre, cph], Søren Højsgaard [aut, cph]
Maintainer: Mikkel Meyer Andersen <mikl@math.aau.dk>

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Package WSGeometry updated to version 1.1 with previous version 1.0 dated 2021-01-05

Title: Compute Wasserstein Barycenters, Geodesics, PCA and Distances
Description: Includes a variety of methods to compute objects related to the 'Wasserstein distance' (also known as 'Kantorovich distance' or 'Earth-Mover distance'). The main effort of this package is to allow for computations of 'Wasserstein barycenter' using regularised, unregularised and stochastic methods. It also provides convenient wrappers to call the 'transport' package with more general inputs. Handy visual tools are provided to showcase, barycenters, animations of optimal transport geodesics and animations of principal components in the 'Wasserstein space'.
Author: Florian Heinemann [aut, cre], Nicholas Bonneel [ctb]
Maintainer: Florian Heinemann <florian.heinemann@uni-goettingen.de>

Diff between WSGeometry versions 1.0 dated 2021-01-05 and 1.1 dated 2021-04-08

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Package msaeDB updated to version 0.2.1 with previous version 0.2.0 dated 2021-03-30

Title: Difference Benchmarking for Multivariate Small Area Estimation
Description: Implements Benchmarking Method for Multivariate Small Area Estimation under Fay Herriot Model. Multivariate Small Area Estimation (MSAE) is a development of Univariate Small Area Estimation that considering the correlation among response variables and borrowing the strength from related areas and auxiliary variables to increase the effectiveness of sample size, the multivariate model in this package is based on multivariate model 1 proposed by Roberto Benavent and Domingo Morales (2016) <doi:10.1016/j.csda.2015.07.013>. Benchmarking in Small Area Estimation is a modification of Small Area Estimation model to guarantee that the aggregate weighted mean of the county predictors equals the corresponding weighted mean of survey estimates. Difference Benchmarking is the simplest benchmarking method but widely used by multiplying empirical best linear unbiased prediction (EBLUP) estimator by the common adjustment factors (J.N.K Rao and Isabel Molina, 2015).
Author: Zaza Yuda Perwira, Azka Ubaidillah
Maintainer: Zaza Yuda Perwira <221710086@stis.ac.id>

Diff between msaeDB versions 0.2.0 dated 2021-03-30 and 0.2.1 dated 2021-04-08

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New package jordan with initial version 1.0-1
Package: jordan
Title: A Suite of Routines for Working with Jordan Algebras
Version: 1.0-1
Authors@R: person(given=c("Robin", "K. S."), family="Hankin", role = c("aut","cre"), email="hankin.robin@gmail.com", comment = c(ORCID = "0000-0001-5982-0415"))
Maintainer: Robin K. S. Hankin <hankin.robin@gmail.com>
Description: A Jordan algebra is an algebraic object originally designed to study observables in quantum mechanics. Jordan algebras are commutative but non-associative; they satisfy the Jordan identity. The package follows the ideas and notation of K. McCrimmon (2004, ISBN:0-387-95447-3) "A Taste of Jordan Algebras".
License: GPL (>= 2)
Suggests: knitr,rmarkdown
Depends: onion (>= 1.4-0)
VignetteBuilder: knitr
Imports: emulator,methods,mathjaxr
URL: https://github.com/RobinHankin/jordan
BugReports: https://github.com/RobinHankin/jordan/issues
RdMacros: mathjaxr
NeedsCompilation: no
Packaged: 2021-04-06 20:22:29 UTC; rhankin
Author: Robin K. S. Hankin [aut, cre] (<https://orcid.org/0000-0001-5982-0415>)
Repository: CRAN
Date/Publication: 2021-04-08 11:00:02 UTC

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Package sclero (with last version 0.2) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2016-01-21 0.2

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New package VEwaning with initial version 1.1
Package: VEwaning
Title: Vaccine Efficacy Over Time
Version: 1.1
Date: 2021-04-06
Authors@R: c(person("Marie", "Davidian", role = "aut"), person("A.A.", "Tsiatis", role = "aut"), person("Shannon", "Holloway", role = c("aut", "cre"), email = "sthollow@ncsu.edu"))
Description: Implements methods for inference on potential waning of vaccine efficacy and for estimation of vaccine efficacy at a user-specified time after vaccination based on data from a randomized, double-blind, placebo-controlled vaccine trial in which participants may be unblinded and placebo subjects may be crossed over to the study vaccine. The methods also allow adjustment for possible confounding via inverse probability weighting through specification of models for the trial entry process, unblinding mechanisms, and the probability an unblinded placebo participant accepts study vaccine: Tsiatis, A. A. and Davidian, M. (2021) <arXiv:2102.13103> .
License: GPL-2
Depends: R (>= 2.10), survival, stats, graphics, ggplot2
NeedsCompilation: no
Repository: CRAN
Encoding: UTF-8
Collate: 'entryFit.R' 'gFunctions.R' 'estimateb.R' 'estimateu.R' 'ulbound.R' 'pre_dNYu.R' 'pre_dNYb.R' 'esttheta.R' 'plot.VEwaning.R' 'print.VEwaning.R' 'psiFit.R' 'unblindFit.R' 've.R' 'veWaning.R' 'veWaningData.R'
Packaged: 2021-04-06 19:48:27 UTC; sthollow
Author: Marie Davidian [aut], A.A. Tsiatis [aut], Shannon Holloway [aut, cre]
Maintainer: Shannon Holloway <sthollow@ncsu.edu>
Date/Publication: 2021-04-08 08:20:02 UTC

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New package tidyBdE with initial version 0.1.0
Package: tidyBdE
Title: Download Data from Bank of Spain
Version: 0.1.0
Authors@R: person(given = "Diego", family = "H. Herrero", role = c("aut", "cre", "cph"), email = "dev.dieghernan@gmail.com", comment = c(ORCID = "0000-0001-8457-4658"))
Description: Tools to download data series from 'Banco de España' ('BdE') on 'tibble' format. 'Banco de España' is the national central bank and, within the framework of the Single Supervisory Mechanism ('SSM'), the supervisor of the Spanish banking system along with the European Central Bank. This package is in no way sponsored endorsed or administered by 'Banco de España'.
License: GPL (>= 3)
Encoding: UTF-8
BugReports: https://github.com/rOpenSpain/tidyBdE/issues
URL: https://ropenspain.github.io/tidyBdE/, https://github.com/rOpenSpain/tidyBdE
Depends: R (>= 3.6.0)
Imports: tibble (>= 3.0.0), readr (>= 1.0.0), dplyr (>= 0.7.0), ggplot2 (>= 3.3.0), scales (>= 1.1.0)
Suggests: tidyverse (>= 1.3.0), tinytest
NeedsCompilation: no
Packaged: 2021-04-06 19:37:47 UTC; diego
Author: Diego H. Herrero [aut, cre, cph] (<https://orcid.org/0000-0001-8457-4658>)
Maintainer: Diego H. Herrero <dev.dieghernan@gmail.com>
Repository: CRAN
Date/Publication: 2021-04-08 08:10:03 UTC

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New package nCov2019 with initial version 0.4.3
Package: nCov2019
Title: Exploring 'COVID'-19 Statistics
Version: 0.4.3
Authors@R: c( person("Guangchuang", "Yu", email = "guangchuangyu@gmail.com", role = c("cre", "aut", "cph"), comment = c(ORCID = "0000-0002-6485-8781")), person("Tianzhi", "Wu", email = "wutimze@gmail.com", role = "aut"), person("Erqiang", "Hu", email = "13766876214@163.com", role = "ctb"), person("Patrick", "Tung", email = "tung_patrick@yahoo.com", role = "ctb"), person("Xijin", "Ge", email = "Xijin.Ge@sdstate.edu", role = "ctb") )
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>
Description: Provides easy-to-use programming API to access real time and historical data of 'COVID'-19 cases, vaccine and therapeutics data, and a Shiny app to help users exploring the data. Fetching data using API provided by <https://disease.sh> .
Depends: R (>= 3.6.0)
Imports: downloader, ggplot2, jsonlite, RColorBrewer
Suggests: cowplot, dplyr, DT, ggplotify, grDevices, maps, magick, shiny, shinyBS, shinydashboard, shinycssloaders, remotes, utils, plotly, prettydoc, knitr, rmarkdown, reshape2, ggrepel, shadowtext, tidyr
VignetteBuilder: knitr
License: MIT + file LICENSE
URL: https://github.com/YuLab-SMU/nCov2019
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2021-04-06 09:41:04 UTC; ygc
Author: Guangchuang Yu [cre, aut, cph] (<https://orcid.org/0000-0002-6485-8781>), Tianzhi Wu [aut], Erqiang Hu [ctb], Patrick Tung [ctb], Xijin Ge [ctb]
Repository: CRAN
Date/Publication: 2021-04-08 08:30:03 UTC

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New package datagovindia with initial version 0.0.3
Package: datagovindia
Title: Data.gov.in API Wrapper
Version: 0.0.3
Authors@R: c(person(given = "Abhishek", family = "Arora", role = c("cre", "aut"), email = "abhishek.arora1996@gmail.com"), person(given = "Aditya", family = "Chhabra", role = c("aut"), email = "aditya0chhabra@gmail.com"))
Description: This wrapper allows the user to communicate with more than 80,000 API posted on data.gov.in - open data platform of the government of India <https:data.gov.in/ogpl_apis>. It also allows the user to search for the API required through the universe of the API with a better interface than the one the official website provides. Once a user has the ID by using the API discovery functionalities, it allows one to converse with the API using a consistent format across all available API.
License: MIT + file LICENSE
URL: https://github.com/econabhishek/datagovindia
BugReports: https://github.com/econabhishek/datagovindia/issues
Imports: curl, dplyr, httr, magrittr, plyr, stringr, rlang
Encoding: UTF-8
Suggests: rmarkdown, knitr, testthat
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-04-07 07:23:06 UTC; ASUS
Author: Abhishek Arora [cre, aut], Aditya Chhabra [aut]
Maintainer: Abhishek Arora <abhishek.arora1996@gmail.com>
Repository: CRAN
Date/Publication: 2021-04-08 08:30:06 UTC

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New package TeachHist with initial version 0.1.2
Package: TeachHist
Title: A Collection of Amended Histograms Designed for Teaching Statistics
Version: 0.1.2
Authors@R: person("Carsten", "Lange", email = "clange@cpp.edu", role = c("aut", "cre"))
Maintainer: Carsten Lange <clange@cpp.edu>
Description: Statistics students often have problems understanding the relation between a random variable's true scale and its z-values. To allow instructors to better better visualize histograms for these students, the package provides histograms with two horizontal axis containing z-values and the true scale of the variable. The function TeachHistDens() provides a density histogram with two axis. TeachHistCounts() and TeachHistRelFreq() are variations for count and relative frequency histograms, respectively. TeachConfInterv() and TeachHypTest() help instructors to visualize confidence levels and the results of hypothesis tests.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.5.0), ggplot2, dplyr
NeedsCompilation: no
Packaged: 2021-04-06 17:15:22 UTC; clange
Author: Carsten Lange [aut, cre]
Repository: CRAN
Date/Publication: 2021-04-08 07:50:05 UTC

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New package places with initial version 0.1.1
Package: places
Title: Clusters GPS Data into Places
Version: 0.1.1
Authors@R: person(given = "Katherine", family = "Roehrick", role = c("aut", "cre"), email = "kr.gitcode@gmail.com")
Description: Clusters GPS coordinates into places (i.e., meaningful stops). Additionally, categorizes places into types (e.g., home, cafe, gym). Places are identified as home using a rules-based algorithm defining home as the stop occurring most frequently during the night. Other places (e.g., cafe, gym) are identified using the Google Maps API.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: dplyr, tidyr, sp, rgdal, geosphere, data.table, rlang, googleway, stringr, stats, hms
Suggests: R.rsp
VignetteBuilder: R.rsp
Depends: R (>= 2.10)
Language: en-US
NeedsCompilation: no
Packaged: 2021-04-06 15:35:03 UTC; kr
Author: Katherine Roehrick [aut, cre]
Maintainer: Katherine Roehrick <kr.gitcode@gmail.com>
Repository: CRAN
Date/Publication: 2021-04-08 07:50:02 UTC

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Package SunsVoc (with last version 0.1.1) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2020-10-04 0.1.1
2020-06-29 0.1.0

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Package netgsa (with last version 3.1.0) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2019-03-27 3.1.0
2016-06-16 3.0
2015-03-08 2.0
2014-12-02 1.0

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Package dgodata (with last version 0.0.2) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2017-02-13 0.0.2

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Package haploReconstruct (with last version 0.1.2) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2016-10-10 0.1.2

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Package nhds (with last version 1.0.3) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2019-03-31 1.0.3

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Package activpalProcessing (with last version 1.0.2) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2016-12-14 1.0.2
2016-03-28 1.0.1
2016-01-25 1.0

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Package NFP (with last version 0.99.3) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2019-10-14 0.99.3
2016-11-21 0.99.2
2016-08-31 0.99.1

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New package RaceID with initial version 0.2.3
Package: RaceID
Title: Identification of Cell Types and Inference of Lineage Trees from Single-Cell RNA-Seq Data
Version: 0.2.3
Date: 2021-04-07
Author: Dominic Grün <dominic.gruen@gmail.com>
Maintainer: Dominic Grün <dominic.gruen@gmail.com>
Description: Application of 'RaceID' allows inference of cell types and prediction of lineage trees by he StemID2 algorithm. Herman, J.S., Sagar, Grün D. (2018) <DOI:10.1038/nmeth.4662>.
Depends: R (>= 3.5.0)
biocViews:
Imports: coop, compiler, cluster, FateID, FNN, fpc, ggplot2, grDevices, ica, igraph, irlba, locfit, methods, MASS, Matrix, matrixStats, parallel, pheatmap, propr, quadprog, randomForest, Rcpp, RColorBrewer, Rtsne, umap, vegan
LinkingTo: Rcpp (>= 0.11.0)
Suggests: batchelor, DESeq2, knitr, rmarkdown, SummarizedExperiment
VignetteBuilder: knitr
License: GPL-3
Encoding: UTF-8
LazyData: true
NeedsCompilation: yes
Packaged: 2021-04-07 21:33:49 UTC; d.grun
Repository: CRAN
Date/Publication: 2021-04-08 06:10:08 UTC

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Package pegas updated to version 1.0 with previous version 0.14 dated 2020-09-16

Title: Population and Evolutionary Genetics Analysis System
Description: Functions for reading, writing, plotting, analysing, and manipulating allelic and haplotypic data, including from VCF files, and for the analysis of population nucleotide sequences and micro-satellites including coalescent analyses, linkage disequilibrium, population structure (Fst, Amova) and equilibrium (HWE), haplotype networks, minimum spanning tree and network, and median-joining networks.
Author: Emmanuel Paradis [aut, cre, cph] (<https://orcid.org/0000-0003-3092-2199>), Thibaut Jombart [aut, cph] (<https://orcid.org/0000-0003-2226-8692>), Zhian N. Kamvar [aut, cph] (<https://orcid.org/0000-0003-1458-7108>), Brian Knaus [aut, cph] (<https://orcid.org/0000-0003-1665-4343>), Klaus Schliep [aut, cph] (<https://orcid.org/0000-0003-2941-0161>), Alastair Potts [aut, cph] (<https://orcid.org/0000-0003-0919-7279>), David Winter [aut, cph] (<https://orcid.org/0000-0002-6165-0029>)
Maintainer: Emmanuel Paradis <Emmanuel.Paradis@ird.fr>

Diff between pegas versions 0.14 dated 2020-09-16 and 1.0 dated 2021-04-08

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Package dartR updated to version 1.9.4 with previous version 1.9.1 dated 2021-04-03

Title: Importing and Analysing SNP and Silicodart Data Generated by Genome-Wide Restriction Fragment Analysis
Description: Functions are provided that facilitate the import and analysis of SNP (single nucleotide polymorphism) and silicodart (presence/absence) data. The main focus is on data generated by DarT (Diversity Arrays Technology). However, once SNP or related fragment presence/absence data from any source is imported into a genlight object many of the functions can be used. Functions are available for input and output of SNP and silicodart data, for reporting on and filtering on various criteria (e.g. CallRate, Heterozygosity, Reproducibility, maximum allele frequency). Advanced filtering is based on Linkage Disequilibrium and HWE (Hardy-Weinberg equilibrium). Other functions are available for visualization after PCoA (Principle Coordinate Analysis), or to facilitate transfer of data between genlight/genind objects and newhybrids, related, phylip, structure, faststructure packages.
Author: Bernd Gruber [aut, cre], Arthur Georges [aut], Jose L. Mijangos [aut], Peter J. Unmack [ctb], Oliver Berry [ctb], Lindsay V. Clark [ctb], Floriaan Devloo-Delva [ctb]
Maintainer: Bernd Gruber <bernd.gruber@canberra.edu.au>

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Package bayestestR updated to version 0.9.0 with previous version 0.8.2 dated 2021-01-26

Title: Understand and Describe Bayesian Models and Posterior Distributions
Description: Provides utilities to describe posterior distributions and Bayesian models. It includes point-estimates such as Maximum A Posteriori (MAP), measures of dispersion (Highest Density Interval - HDI; Kruschke, 2015 <doi:10.1016/C2012-0-00477-2>) and indices used for null-hypothesis testing (such as ROPE percentage, pd and Bayes factors).
Author: Dominique Makowski [aut, cre] (<https://orcid.org/0000-0001-5375-9967>), Daniel Lüdecke [aut] (<https://orcid.org/0000-0002-8895-3206>), Mattan S. Ben-Shachar [aut] (<https://orcid.org/0000-0002-4287-4801>), Indrajeet Patil [aut] (<https://orcid.org/0000-0003-1995-6531>, @patilindrajeets), Michael D. Wilson [aut] (<https://orcid.org/0000-0003-4143-7308>), Paul-Christian Bürkner [rev], Tristan Mahr [rev] (<https://orcid.org/0000-0002-8890-5116>), Henrik Singmann [ctb] (<https://orcid.org/0000-0002-4842-3657>), Quentin F. Gronau [ctb] (<https://orcid.org/0000-0001-5510-6943>), Sam Crawley [ctb] (<https://orcid.org/0000-0002-7847-0411>)
Maintainer: Dominique Makowski <dom.makowski@gmail.com>

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Package seededlda updated to version 0.6.0 with previous version 0.5.1 dated 2020-12-17

Title: Seeded-LDA for Topic Modeling
Description: Implements the seeded-LDA model (Lu, Ott, Cardie & Tsou 2010) <doi:10.1109/ICDMW.2011.125> using the quanteda package and the GibbsLDA++ library for semisupervised topic modeling. Seeded-LDA allows users to pre-define topics with keywords to perform theory-driven analysis of textual data in social sciences and humanities (Watanabe & Zhou 2020) <doi:10.1177/0894439320907027>.
Author: Kohei Watanabe [aut, cre, cph], Phan Xuan-Hieu [aut, cph] (GibbsLDA++)
Maintainer: Kohei Watanabe <watanabe.kohei@gmail.com>

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Package ozmaps updated to version 0.4.0 with previous version 0.3.6 dated 2020-04-02

Title: Australia Maps
Description: Maps of Australian coastline and administrative regions. Data can be drawn or accessed directly as simple features objects. Includes simple functions for country or state maps of Australia and in-built data sets of administrative regions from the Australian Bureau of Statistics <https://www.abs.gov.au/>. Layers include electoral divisions and local government areas, simplified from the original sources but with sufficient detail to allow mapping of a local municipality.
Author: Michael Sumner [aut, cre], Dianne Cook [ctb], Dario Herenu [ctb]
Maintainer: Michael Sumner <mdsumner@gmail.com>

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More information about ozmaps at CRAN
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Package ds4psy updated to version 0.6.0 with previous version 0.5.0 dated 2020-09-01

Title: Data Science for Psychologists
Description: All datasets and functions required for the examples and exercises of the book "Data Science for Psychologists" (by Hansjoerg Neth, Konstanz University, 2021), available at <https://bookdown.org/hneth/ds4psy/>. The book and course introduce principles and methods of data science to students of psychology and other biological or social sciences. The 'ds4psy' package primarily provides datasets, but also functions for data generation and manipulation (e.g., of text and time data) and graphics that are used in the book and its exercises. All functions included in 'ds4psy' are designed to be explicit and instructive, rather than elegant or efficient.
Author: Hansjoerg Neth [aut, cre] (<https://orcid.org/0000-0001-5427-3141>)
Maintainer: Hansjoerg Neth <h.neth@uni.kn>

Diff between ds4psy versions 0.5.0 dated 2020-09-01 and 0.6.0 dated 2021-04-08

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Wed, 07 Apr 2021

New package strucchangeRcpp with initial version 1.5-3-1.0.2
Package: strucchangeRcpp
Version: 1.5-3-1.0.2
Date: 2021-03-12
Title: Testing, Monitoring, and Dating Structural Changes: C++ Version
Authors@R: c(person(given = "Dainius", family = "Masiliunas", role = c("aut", "cre"), email = "pastas4@gmail.com", comment = c(ORCID = "0000-0001-5654-1277")), person(given = "Achim", family = "Zeileis", role = c("aut"), email = "Achim.Zeileis@R-project.org", comment = c(ORCID = "0000-0003-0918-3766")), person(given = "Marius", family = "Appel", role = "aut", email = "marius.appel@uni-muenster.de"), person(given = "Friedrich", family = "Leisch", role = "aut", email = "Friedrich.Leisch@R-project.org"), person(given = "Kurt", family = "Hornik", role = "aut", email = "Kurt.Hornik@R-project.org"), person(given = "Christian", family = "Kleiber", role = "aut", email = "Christian.Kleiber@unibas.ch"), person(given = "Andrei", family = "Mirt", role = "ctb", email = "andrei.mirt@wur.nl", comment = c(ORCID = "0000-0003-3654-2090")), person(given = "Bruce", family = "Hansen", role = "ctb"), person(given = c("Edgar", "C."), family = "Merkle", role = "ctb"))
Description: A fast implementation with additional experimental features for testing, monitoring and dating structural changes in (linear) regression models. 'strucchangeRcpp' features tests/methods from the generalized fluctuation test framework as well as from the F test (Chow test) framework. This includes methods to fit, plot and test fluctuation processes (e.g. cumulative/moving sum, recursive/moving estimates) and F statistics, respectively. These methods are described in Zeileis et al. (2002) <doi:10.18637/jss.v007.i02>. Finally, the breakpoints in regression models with structural changes can be estimated together with confidence intervals, and their magnitude as well as the model fit can be evaluated using a variety of statistical measures.
LazyData: yes
LinkingTo: Rcpp, RcppArmadillo
Depends: R (>= 2.10.0), zoo, sandwich
Suggests: stats4, car, dynlm, e1071, foreach, lmtest, mvtnorm, tseries, bfast
Imports: graphics, stats, Rcpp (>= 0.12.7), utils
License: GPL-2 | GPL-3
URL: https://github.com/bfast2/strucchangeRcpp/
BugReports: https://github.com/bfast2/strucchangeRcpp/issues
NeedsCompilation: yes
Packaged: 2021-04-07 18:04:17 UTC; dainius
Author: Dainius Masiliunas [aut, cre] (<https://orcid.org/0000-0001-5654-1277>), Achim Zeileis [aut] (<https://orcid.org/0000-0003-0918-3766>), Marius Appel [aut], Friedrich Leisch [aut], Kurt Hornik [aut], Christian Kleiber [aut], Andrei Mirt [ctb] (<https://orcid.org/0000-0003-3654-2090>), Bruce Hansen [ctb], Edgar C. Merkle [ctb]
Maintainer: Dainius Masiliunas <pastas4@gmail.com>
Repository: CRAN
Date/Publication: 2021-04-07 22:40:02 UTC

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Package readsparse updated to version 0.1.2 with previous version 0.1.1-2 dated 2021-04-06

Title: Read and Write Sparse Matrices in 'SVMLight' and 'LibSVM' Formats
Description: Read and write labelled sparse matrices in text format as used by software such as 'SVMLight', 'LibSVM', 'ThunderSVM', 'LibFM', 'xLearn', 'XGBoost', 'LightGBM', and others. Supports labelled data for regression, classification (binary, multi-class, multi-label), and ranking (with 'qid' field), and can handle header metadata and comments in files.
Author: David Cortes
Maintainer: David Cortes <david.cortes.rivera@gmail.com>

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Package aqp updated to version 1.29 with previous version 1.27 dated 2021-01-26

Title: Algorithms for Quantitative Pedology
Description: The Algorithms for Quantitative Pedology (AQP) project was started in 2009 to organize a loosely-related set of concepts and source code on the topic of soil profile visualization, aggregation, and classification into this package (aqp). Over the past 8 years, the project has grown into a suite of related R packages that enhance and simplify the quantitative analysis of soil profile data. Central to the AQP project is a new vocabulary of specialized functions and data structures that can accommodate the inherent complexity of soil profile information; freeing the scientist to focus on ideas rather than boilerplate data processing tasks <doi:10.1016/j.cageo.2012.10.020>. These functions and data structures have been extensively tested and documented, applied to projects involving hundreds of thousands of soil profiles, and deeply integrated into widely used tools such as SoilWeb <https://casoilresource.lawr.ucdavis.edu/soilweb-apps/>. Components of the AQP project (aqp, soilDB, sharpshootR, soilReports packages) serve an important role in routine data analysis within the USDA-NRCS Soil Science Division. The AQP suite of R packages offer a convenient platform for bridging the gap between pedometric theory and practice.
Author: Dylan Beaudette [aut, cre], Pierre Roudier [aut, ctb], Andrew Brown [aut, ctb]
Maintainer: Dylan Beaudette <dylan.beaudette@usda.gov>

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Package PogromcyDanych updated to version 1.7 with previous version 1.5 dated 2015-03-01

Title: DataCrunchers (PogromcyDanych) is the Massive Online Open Course that Brings R and Statistics to the People
Description: The data sets used in the online course ,,PogromcyDanych''. You can process data in many ways. The course Data Crunchers will introduce you to this variety. For this reason we will work on datasets of different size (from several to several hundred thousand rows), with various level of complexity (from two to two thousand columns) and prepared in different formats (text data, quantitative data and qualitative data). All of these data sets were gathered in a single big package called PogromcyDanych to facilitate access to them. It contains all sorts of data sets such as data about offer prices of cars, results of opinion polls, information about changes in stock market indices, data about names given to newborn babies, ski jumping results or information about outcomes of breast cancer patients treatment.
Author: Przemyslaw Biecek
Maintainer: Przemyslaw Biecek <przemyslaw.biecek@gmail.com>

Diff between PogromcyDanych versions 1.5 dated 2015-03-01 and 1.7 dated 2021-04-07

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Package plu updated to version 0.2.1 with previous version 0.2.0 dated 2021-01-11

Title: Dynamically Pluralize Phrases
Description: Converts English phrases to singular or plural form based on the length of an associated vector. Contains helper functions to create natural language lists from vectors and to include the length of a vector in natural language.
Author: Alexander Rossell Hayes [aut, cre, cph] (<https://orcid.org/0000-0001-9412-0457>)
Maintainer: Alexander Rossell Hayes <alexander@rossellhayes.com>

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Package neurobase updated to version 1.32.1 with previous version 1.32.0 dated 2021-03-31

Title: 'Neuroconductor' Base Package with Helper Functions for 'nifti' Objects
Description: Base package for 'Neuroconductor', which includes many helper functions that interact with objects of class 'nifti', implemented by package 'oro.nifti', for reading/writing and also other manipulation functions.
Author: John Muschelli [aut, cre]
Maintainer: John Muschelli <muschellij2@gmail.com>

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Package rNeighborGWAS updated to version 1.2.3 with previous version 1.2.2 dated 2020-11-23

Title: Testing Neighbor Effects in Marker-Based Regressions
Description: To incorporate neighbor genotypic identity into genome-wide association studies, the package provides a set of functions for variation partitioning and association mapping. The theoretical background of the method is described in Sato et al. (2021) <doi:10.1038/s41437-020-00401-w>.
Author: Yasuhiro Sato [aut, cre] (<https://orcid.org/0000-0002-6466-723X>), Eiji Yamamoto [aut], Kentaro K. Shimizu [aut] (<https://orcid.org/0000-0002-6483-1781>), Atsushi J. Nagano [aut] (<https://orcid.org/0000-0001-7891-5049>)
Maintainer: Yasuhiro Sato <sato.yasuhiro.36c@kyoto-u.jp>

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Package SimDesign updated to version 2.3 with previous version 2.2 dated 2020-11-07

Title: Structure for Organizing Monte Carlo Simulation Designs
Description: Provides tools to help safely and efficiently organize Monte Carlo simulations in R. The package controls the structure and back-end of Monte Carlo simulations by utilizing a general generate-analyse-summarise strategy. The functions provided control common simulation issues such as re-simulating non-convergent results, support parallel back-end and MPI distributed computations, save and restore temporary files, aggregate results across independent nodes, and provide native support for debugging. For a pedagogical introduction to the package refer to Sigal and Chalmers (2016) <doi:10.1080/10691898.2016.1246953>, and for an in-depth overview of the package and its design philosophy see Chalmers and Adkins (2020) <doi:10.20982/tqmp.16.4.p248>.
Author: Phil Chalmers [aut, cre] (<https://orcid.org/0000-0001-5332-2810>), Matthew Sigal [ctb], Ogreden Oguzhan [ctb]
Maintainer: Phil Chalmers <rphilip.chalmers@gmail.com>

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Package RLumModel updated to version 0.2.8 with previous version 0.2.7 dated 2020-09-04

Title: Solving Ordinary Differential Equations to Understand Luminescence
Description: A collection of functions to simulate luminescence signals in quartz and Al2O3 based on published models.
Author: Johannes Friedrich [aut, trl, cre] (<https://orcid.org/0000-0002-0805-9547>), Sebastian Kreutzer [aut, ths] (<https://orcid.org/0000-0002-0734-2199>), Christoph Schmidt [aut, ths] (<https://orcid.org/0000-0002-2309-3209>)
Maintainer: Johannes Friedrich <johannes.friedrich@posteo.de>

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Package periscope updated to version 0.6.3 with previous version 0.6.2 dated 2021-03-22

Title: Enterprise Streamlined 'Shiny' Application Framework
Description: An enterprise-targeted scalable and UI-standardized 'shiny' framework including a variety of developer convenience functions with the goal of both streamlining robust application development while assisting with creating a consistent user experience regardless of application or developer.
Author: Constance Brett [aut, cre], Isaac Neuhaus [aut] (canvasXpress JavaScript Library Maintainer), Ger Inberg [ctb], Bristol-Meyers Squibb (BMS) [cph]
Maintainer: Constance Brett <connie@aggregate-genius.com>

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Package Gmedian updated to version 1.2.6 with previous version 1.2.5 dated 2020-03-02

Title: Geometric Median, k-Medians Clustering and Robust Median PCA
Description: Fast algorithms for robust estimation with large samples of multivariate observations. Estimation of the geometric median, robust k-Gmedian clustering, and robust PCA based on the Gmedian covariation matrix.
Author: Herve Cardot
Maintainer: Herve Cardot <herve.cardot@u-bourgogne.fr>

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Package blocksdesign updated to version 4.9 with previous version 4.8 dated 2021-02-26

Title: Nested and Crossed Block Designs for Factorial and Unstructured Treatment Sets
Description: Constructs treatment and block designs for linear treatment models with crossed or nested block factors. The treatment design can be any feasible linear model and the block design can be any feasible combination of crossed or nested block factors. The block design is a sum of one or more block factors and the block design is optimized sequentially with the levels of each successive block factor optimized conditional on all previously optimized block factors. D-optimality is used throughout except for square or rectangular lattice block designs which are constructed algebraically using mutually orthogonal Latin squares. Crossed block designs with interaction effects are optimized using a weighting scheme which allows for differential weighting of first and second-order block effects. Outputs include a table showing the allocation of treatments to blocks and tables showing the achieved D-efficiency factors for each block and treatment design. Edmondson, R.N. Multi-level Block Designs for Comparative Experiments. JABES 25, 500–522 (2020) <doi:10.1007/s13253-020-00416-0>.
Author: R. N. Edmondson.
Maintainer: Rodney Edmondson <rodney.edmondson@gmail.com>

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Package bhmbasket updated to version 0.9.2 with previous version 0.9.1 dated 2021-02-15

Title: Bayesian Hierarchical Models for Basket Trials
Description: Provides functions for the evaluation of basket trial designs with binary endpoints. Operating characteristics of a basket trial design are assessed by simulating trial data according to scenarios, analyzing the data with Bayesian hierarchical models (BHMs), and assessing decision probabilities on stratum and trial-level based on Go / No-go decision making. The package is build for high flexibility regarding decision rules, number of interim analyses, number of strata, and recruitment. The BHMs proposed by Berry et al. (2013) <doi:10.1177/1740774513497539> and Neuenschwander et al. (2016) <doi:10.1002/pst.1730>, as well as a model that combines both approaches are implemented. Functions are provided to implement Bayesian decision rules as for example proposed by Fisch et al. (2015) <doi:10.1177/2168479014533970>. In addition, posterior point estimates (mean/median) and credible intervals for response rates and some model parameters can be calculated. For simulated trial data, bias and mean squared errors of posterior point estimates for response rates can be provided.
Author: Stephan Wojciekowski [aut, cre]
Maintainer: Stephan Wojciekowski <stephan.wojciekowski@boehringer-ingelheim.com>

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Package npde updated to version 3.1 with previous version 3.0 dated 2021-02-25

Title: Normalised Prediction Distribution Errors for Nonlinear Mixed-Effect Models
Description: Provides routines to compute normalised prediction distribution errors, a metric designed to evaluate non-linear mixed effect models such as those used in pharmacokinetics and pharmacodynamics. Documentation about 'npde' is provided by a comprehensive user guide on the github repository (<https://github.com/ecomets/npde30/blob/main/userguide_npde_3.0.pdf>), and references concerning the methods include the papers by Brendel et al. (2006, <doi:10.1007/s11095-006-9067-5>; 2010, <doi:10.1007/s10928-009-9143-7>), Comets et al. (2008, <doi:10.1016/j.cmpb.2007.12.002> ; 2010, <http://journal-sfds.fr/article/view/45>), and Nguyen et al. (2012, <doi:10.1007/s10928-012-9264-2>). See 'citation("npde")' for details.
Author: Emmanuelle Comets [aut, cre] (<https://orcid.org/0000-0002-9150-9886>), Karl Brendel [ctb], Thi Huyen Tram Nguyen [ctb], Romain Leroux [ctb], France Mentre [ctb]
Maintainer: Emmanuelle Comets <emmanuelle.comets@inserm.fr>

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Package WhiteStripe updated to version 2.4.0 with previous version 2.3.2 dated 2019-10-01

Title: White Matter Normalization for Magnetic Resonance Images using WhiteStripe
Description: Shinohara (2014) <doi:10.1016/j.nicl.2014.08.008> introduced 'WhiteStripe', an intensity-based normalization of T1 and T2 images, where normal appearing white matter performs well, but requires segmentation. This method performs white matter mean and standard deviation estimates on data that has been rigidly-registered to the 'MNI' template and uses histogram-based methods.
Author: R. Taki Shinohara [aut], John Muschelli [aut, cre] (<https://orcid.org/0000-0001-6469-1750>)
Maintainer: John Muschelli <muschellij2@gmail.com>

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Package stevedata updated to version 0.3.1 with previous version 0.3.0 dated 2021-02-27

Title: Steve's Toy Data for Teaching About a Variety of Methodological, Social, and Political Topics
Description: This is an R package for all my toy data. Its main uses are for teaching. My students, and academics like me who teach the same topics I teach, should find this useful if their teaching workflow is also built around the R programming language. The applications are multiple but mostly cluster on topics of statistical methodology, international relations, and political economy.
Author: Steve Miller [aut, cre] (<https://orcid.org/0000-0003-4072-6263>)
Maintainer: Steve Miller <steven.v.miller@gmail.com>

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Package tidypaleo updated to version 0.1.1 with previous version 0.1.0 dated 2021-03-31

Title: Tidy Tools for Paleoenvironmental Archives
Description: Provides a set of functions with a common framework for age-depth model management, stratigraphic visualization, and common statistical transformations. The focus of the package is stratigraphic visualization, for which 'ggplot2' components are provided to reproduce the scales, geometries, facets, and theme elements commonly used in publication-quality stratigraphic diagrams. Helpers are also provided to reproduce the exploratory statistical summaries that are frequently included on stratigraphic diagrams.
Author: Dewey Dunnington [aut, cre, cph] (<https://orcid.org/0000-0002-9415-4582>)
Maintainer: Dewey Dunnington <dewey@fishandwhistle.net>

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Package rvkstat updated to version 3.0.1 with previous version 3.0.0 dated 2021-01-15

Title: R Interface to API 'vk.com'
Description: Load data from vk.com api about your communiti users and views, ads performance, post on user wall and etc. For more information see API Documentation <https://vk.com/dev/first_guide>.
Author: Alexey Seleznev
Maintainer: Alexey Seleznev <selesnow@gmail.com>

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Package RTL updated to version 0.1.6 with previous version 0.1.5 dated 2020-11-11

Title: Risk Tool Library
Description: Collection of functions and metadata to complement core packages in Finance and Commodities, including futures expiry tables and <https://www.morningstar.com/products/commodities-and-energy> API functions. See <https://github.com/risktoollib/RTL>.
Author: Philippe Cote [aut, cre], Nima Safaian [aut]
Maintainer: Philippe Cote <pcote@ualberta.ca>

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Package prcbench updated to version 1.0.1 with previous version 0.9.1 dated 2021-01-07

Title: Testing Workbench for Precision-Recall Curves
Description: A testing workbench for evaluating precision-recall curves under various conditions.
Author: Takaya Saito [aut, cre], Marc Rehmsmeier [aut]
Maintainer: Takaya Saito <takaya.saito@outlook.com>

Diff between prcbench versions 0.9.1 dated 2021-01-07 and 1.0.1 dated 2021-04-07

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Package msmtools updated to version 2.0.0 with previous version 1.3 dated 2017-06-08

Title: Building Augmented Data to Run Multi-State Models with 'msm' Package
Description: A fast and general method for restructuring classical longitudinal data into augmented ones. The reason for this is to facilitate the modeling of longitudinal data under a multi-state framework using the 'msm' package.
Author: Francesco Grossetti [aut, cre] (<https://orcid.org/0000-0002-5130-7745>)
Maintainer: Francesco Grossetti <francesco.grossetti@unibocconi.it>

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New package FateID with initial version 0.2.0
Package: FateID
Title: Quantification of Fate Bias in Multipotent Progenitors
Version: 0.2.0
Date: 2021-03-27
Author: Dominic Grün <dominic.gruen@gmail.com>
Maintainer: Dominic Grün <dominic.gruen@gmail.com>
Description: Application of 'FateID' allows computation and visualization of cell fate bias for multi-lineage single cell transcriptome data. Herman, J.S., Sagar, Grün D. (2018) <DOI:10.1038/nmeth.4662>.
Depends: R (>= 3.5.0)
biocViews:
Imports: graphics, grDevices, lle, locfit, matrixStats, pheatmap, princurve, randomForest, RColorBrewer, Rtsne, som, stats, umap, utils
Suggests: DESeq2, knitr, rmarkdown
VignetteBuilder: knitr
License: GPL-3
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2021-04-06 13:45:41 UTC; d.grun
Repository: CRAN
Date/Publication: 2021-04-07 13:20:13 UTC

More information about FateID at CRAN
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Package ellipticalsymmetry updated to version 0.1.2 with previous version 0.1 dated 2020-11-30

Title: Elliptical Symmetry Tests
Description: Given the omnipresence of the assumption of elliptical symmetry, it is essential to be able to test whether that assumption actually holds true or not for the data at hand. This package provides several statistical tests for elliptical symmetry that are described in Babic et al. (2021) <arXiv:2011.12560v2>.
Author: Sladana Babic [aut] (<https://orcid.org/0000-0001-8076-4665>), Marko Palangetic [aut, cre] (<https://orcid.org/0000-0002-6366-0634>), Christophe Ley [aut] (<https://orcid.org/0000-0002-2290-8437>)
Maintainer: Marko Palangetic <marko.palangetic@ugent.be>

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Package CAST updated to version 0.5.1 with previous version 0.5.0 dated 2021-02-19

Title: 'caret' Applications for Spatial-Temporal Models
Description: Supporting functionality to run 'caret' with spatial or spatial-temporal data. 'caret' is a frequently used package for model training and prediction using machine learning. This package includes functions to improve spatial-temporal modelling tasks using 'caret'. It prepares data for Leave-Location-Out and Leave-Time-Out cross-validation which are target-oriented validation strategies for spatial-temporal models. To decrease overfitting and improve model performances, the package implements a forward feature selection that selects suitable predictor variables in view to their contribution to the target-oriented performance. CAST further includes functionality to estimate the (spatial) area of applicability of prediction models by analysing the similarity between new data and training data.
Author: Hanna Meyer [cre, aut], Chris Reudenbach [ctb], Marvin Ludwig [ctb], Thomas Nauss [ctb], Edzer Pebesma [ctb]
Maintainer: Hanna Meyer <hanna.meyer@uni-muenster.de>

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New package bayesDccGarch with initial version 2.2
Package: bayesDccGarch
Version: 2.2
Date: 2021-04-01
Title: The Bayesian Dynamic Conditional Correlation GARCH Model
Description: Bayesian estimation of dynamic conditional correlation GARCH model for multivariate time series volatility (Fioruci, J.A., Ehlers, R.S. and Andrade-Filho, M.G., (2014). <doi:10.1080/02664763.2013.839635>.
Depends: R (>= 2.0), numDeriv, coda
Authors@R: c( person("Jose Augusto", "Fiorucci", email="jafiorucci@gmail.com", role=c("aut", "cre", "cph"), comment = c(ORCID = "0000-0002-1201-9089")), person("Ricardo", "Sanders Ehlers", email="ehlers@icmc.usp.br", role=c("aut", "cph"), comment = c(ORCID = "0000-0001-9034-5173")), person("Francisco", "Louzada", email="louzada@icmc.usp.br", role=c("aut", "cph"), comment = c(ORCID = "0000-0001-7815-9554")) )
Author: Jose Augusto Fiorucci [aut, cre, cph] (<https://orcid.org/0000-0002-1201-9089>), Ricardo Sanders Ehlers [aut, cph] (<https://orcid.org/0000-0001-9034-5173>), Francisco Louzada [aut, cph] (<https://orcid.org/0000-0001-7815-9554>)
Maintainer: Jose Augusto Fiorucci <jafiorucci@gmail.com>
BugReports: https://github.com/jafiorucci/bayesDccGarch/issues
License: GPL (>= 2)
URL: https://ui.adsabs.harvard.edu/abs/2014arXiv1412.2967F/abstract
NeedsCompilation: yes
Repository: CRAN
Packaged: 2021-04-06 18:33:27 UTC; jafio
Date/Publication: 2021-04-07 13:20:10 UTC

More information about bayesDccGarch at CRAN
Permanent link

Package rtsVis updated to version 0.0.2 with previous version 0.0.1 dated 2021-02-24

Title: Raster Time Series Visualization
Description: A lightweight 'R' package to visualize large raster time series, building on a fast temporal interpolation core.
Author: Johannes Mast [aut, cre] (<https://orcid.org/0000-0001-6595-5834>), Jakob Schwalb-Willmann [aut] (<https://orcid.org/0000-0003-2665-1509>)
Maintainer: Johannes Mast <johannes.mast@stud-mail.uni-wuerzburg.de>

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Package aopdata updated to version 0.2.1 with previous version 0.2.0 dated 2021-03-31

Title: Data from the 'Access to Opportunities Project (AOP)'
Description: Download data from the 'Access to Opportunities Project (AOP)'. The 'aopdata' package brings annual estimates of access to employment, health and education services by transport mode, as well as data on the spatial distribution of population, schools and health-care facilities at a fine spatial resolution for all cities included in the study. More info on the 'AOP' website <https://www.ipea.gov.br/acessooportunidades/en/>.
Author: Rafael H. M. Pereira [aut, cre] (<https://orcid.org/0000-0003-2125-7465>), Daniel Herszenhut [aut] (<https://orcid.org/0000-0001-8066-1105>), Marcus Saraiva [aut] (<https://orcid.org/0000-0001-6218-2338>), Ipea - Institue for Applied Economic Research [cph, fnd]
Maintainer: Rafael H. M. Pereira <rafa.pereira.br@gmail.com>

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Package akiFlagger updated to version 0.3.0 with previous version 0.2.0 dated 2021-03-14

Title: Flags Acute Kidney Injury (AKI)
Description: Flagger to detect acute kidney injury (AKI) in a patient dataset.
Author: Ishan Saran [aut, cre], Shivam Saran [aut], Rishi Saran [aut], Aditya Biswas [ctb], Sankee Mummareddy [ctb], Yu Yamamoto [ctb], Francis Perry Wilson [ctb, ths]
Maintainer: Ishan Saran <ishansaran65@gmail.com>

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Package zoolog updated to version 0.3.0 with previous version 0.2.1 dated 2021-02-17

Title: Zooarchaeological Analysis with Log-Ratios
Description: Includes functions and reference data to generate and manipulate log-ratios (also known as log size index (LSI) values) from measurements obtained on zooarchaeological material. Log ratios are used to compare the relative (rather than the absolute) dimensions of animals from archaeological contexts (Meadow 1999, ISBN: 9783896463883). zoolog is also able to seamlessly integrate data and references with heterogeneous nomenclature, which is internally managed by a zoolog thesaurus. A preliminary version of the zoolog methods was first used by Trentacoste, Nieto-Espinet, and Valenzuela-Lamas (2018) <doi:10.1371/journal.pone.0208109>.
Author: Jose M Pozo [aut, cre] (<https://orcid.org/0000-0002-0759-3510>), Silvia Valenzuela-Lamas [aut] (<https://orcid.org/0000-0001-9886-0372>), Angela Trentacoste [aut] (<https://orcid.org/0000-0001-7096-5252>), Ariadna Nieto-Espinet [aut] (<https://orcid.org/0000-0003-2567-1735>), Silvia Guimarães Chiarelli [aut] (<https://orcid.org/0000-0002-3778-3315>)
Maintainer: Jose M Pozo <josmpozo@gmail.com>

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Package viromeBrowser updated to version 1.1.0 with previous version 1.0.0 dated 2019-08-21

Title: Virome Sequencing Analysis Result Browser
Description: Experiments in which highly complex virome sequencing data is generated are difficult to visualize and unpack for a person without programming experience. After processing of the raw sequencing data by a next generation sequencing (NGS) processing pipeline the usual output consists of contiguous sequences (contigs) in fasta format and an annotation file linking the contigs to a reference sequence. The virome analysis browser app imports an annotation file, a corresponding fasta file containing the annotated contigs and a alignment file in BAM format of the sequence reads aligned to the contigs. It facilitates browsing of annotations in multiple files and allows users to select and export specific annotated sequences from the associated fasta files. Various annotation quality thresholds can be set to filter contigs from the annotation files. Further inspection of selected contigs can be done in the form of automatic open reading frame (ORF) detection. Separate contigs and/or separate ORFs can be downloaded in nucleotide or amino acid format for further analysis.
Author: David Nieuwenhuijse [aut, cre]
Maintainer: David Nieuwenhuijse <d.nieuwenhuijse@erasmusmc.nl>

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Package rayrender updated to version 0.21.2 with previous version 0.21.1 dated 2021-04-03

Title: Build and Raytrace 3D Scenes
Description: Render scenes using pathtracing. Build 3D scenes out of spheres, cubes, planes, disks, triangles, cones, curves, line segments, cylinders, ellipsoids, and 3D models in the 'Wavefront' OBJ file format or the PLY Polygon File Format. Supports several material types, textures, multicore rendering, and tone-mapping. Based on the "Ray Tracing in One Weekend" book series. Peter Shirley (2018) <https://raytracing.github.io>.
Author: Tyler Morgan-Wall [aut, cph, cre] (<https://orcid.org/0000-0002-3131-3814>), Syoyo Fujita [ctb, cph], Melissa O'Neill [ctb, cph], Vilya Harvey [ctb, cph]
Maintainer: Tyler Morgan-Wall <tylermw@gmail.com>

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Package mschart updated to version 0.2.6 with previous version 0.2.5 dated 2019-11-14

Title: Chart Generation for 'Microsoft Word' and 'Microsoft PowerPoint' Documents
Description: Create native charts for 'Microsoft PowerPoint' and 'Microsoft Word' documents. These can then be edited and annotated. Functions are provided to let users create charts, modify and format their content. The chart's underlying data is automatically saved within the 'Word' document or 'PowerPoint' presentation. It extends package 'officer' that does not contain any feature for 'Microsoft' native charts production.
Author: David Gohel [aut, cre], ArData [cph], YouGov [fnd], David Camposeco [ctb] (chart_data_smooth function)
Maintainer: David Gohel <david.gohel@ardata.fr>

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Package LibOPF updated to version 2.6.1 with previous version 2.6.0 dated 2020-04-12

Title: Design of Optimum-Path Forest Classifiers
Description: The 'LibOPF' is a framework to develop pattern recognition techniques based on optimum-path forests (OPF), João P. Papa and Alexandre X. Falcão (2008) <doi:10.1007/978-3-540-89639-5_89>, with methods for supervised learning and data clustering.
Author: Rafael Junqueira Martarelli [aut, cre], João Paulo Papa [aut], Alexandre Xavier Falcão [cph]
Maintainer: Rafael Junqueira Martarelli <rfel.jm@gmail.com>

Diff between LibOPF versions 2.6.0 dated 2020-04-12 and 2.6.1 dated 2021-04-07

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Permanent link

Package ggstar updated to version 1.0.2 with previous version 1.0.1 dated 2021-02-10

Title: Multiple Geometric Shape Point Layer for 'ggplot2'
Description: To create the multiple polygonal point layer for easily discernible shapes, we developed the package, it is like the 'geom_point' of 'ggplot2'. It can be used to draw the scatter plot.
Author: Shuangbin Xu [aut, cre] (<https://orcid.org/0000-0003-3513-5362>)
Maintainer: Shuangbin Xu <xshuangbin@163.com>

Diff between ggstar versions 1.0.1 dated 2021-02-10 and 1.0.2 dated 2021-04-07

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New package TAF with initial version 4.0.0
Package: TAF
Version: 4.0.0
Date: 2021-04-06
Title: Functions to Support the ICES Transparent Assessment Framework
Authors@R: c(person("Arni", "Magnusson", role=c("aut","cre"), email="thisisarni@gmail.com"), person("Colin", "Millar", role="aut"), person("Alexandros", "Kokkalis", role="ctb"), person("Iago", "Mosqueira", role="ctb"), person("Ibrahim", "Umar", role="ctb"), person("Hjalte", "Parner", role="ctb"))
Imports: grDevices, lattice, stats, tools, utils
LazyData: yes
Description: Functions to support the ICES Transparent Assessment Framework <https://taf.ices.dk> to organize data, methods, and results used in ICES assessments. ICES is an organization facilitating international collaboration in marine science.
License: GPL-3
URL: https://taf.ices.dk
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2021-04-06 12:22:48 UTC; arnima
Author: Arni Magnusson [aut, cre], Colin Millar [aut], Alexandros Kokkalis [ctb], Iago Mosqueira [ctb], Ibrahim Umar [ctb], Hjalte Parner [ctb]
Maintainer: Arni Magnusson <thisisarni@gmail.com>
Repository: CRAN
Date/Publication: 2021-04-07 09:30:11 UTC

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Package stabm updated to version 1.2.1 with previous version 1.2.0 dated 2021-03-30

Title: Stability Measures for Feature Selection
Description: An implementation of many measures for the assessment of the stability of feature selection. Both simple measures and measures which take into account the similarities between features are available, see Bommert (2020) <doi:10.17877/DE290R-21906>.
Author: Andrea Bommert [aut, cre] (<https://orcid.org/0000-0002-1005-9351>), Michel Lang [aut] (<https://orcid.org/0000-0001-9754-0393>)
Maintainer: Andrea Bommert <bommert@statistik.tu-dortmund.de>

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New package SpatEntropy with initial version 2.0-1
Package: SpatEntropy
Title: Spatial Entropy Measures
Version: 2.0-1
Author: L. Altieri, D. Cocchi, G. Roli
Maintainer: Altieri Linda <linda.altieri@unibo.it>
Depends: R (>= 3.5.0), spatstat (>= 2.0-0)
Imports: spatstat.geom, spatstat.core, spatstat.linnet
Description: The heterogeneity of spatial data presenting a finite number of categories can be measured via computation of spatial entropy. Functions are available for the computation of the main entropy and spatial entropy measures in the literature. They include the traditional version of Shannon's entropy (Shannon, 1948 <doi:10.1002/j.1538-7305.1948.tb01338.x>), Batty's spatial entropy (Batty, 1974 <doi:10.1111/j.1538-4632.1974.tb01014.x>), O'Neill's entropy (O'Neill et al., 1998 <doi:10.1007/BF00162741>), Li and Reynolds' contagion index (Li and Reynolds, 1993 <doi:10.1007/BF00125347>), Karlstrom and Ceccato's entropy (Karlstrom and Ceccato, 2002 <urn:nbn:se:kth:diva-61351>), Leibovici's entropy (Leibovici, 2009 <doi:10.1007/978-3-642-03832-7_24>), Parresol and Edwards' entropy (Parresol and Edwards, 2014 <doi:10.3390/e16041842>) and Altieri's entropy (Altieri et al., 2018, <doi:10.1007/s10651-017-0383-1>). Full references for all measures can be found under the topic 'SpatEntropy'. The package is able to work with lattice and point data. The updated version works with the updated 'spatstat' package (>= 2.0-0). It also provides a more intuitive framework for all functions, including improved examples, and new data. The speed of most functions has also been substantially increased.
License: GPL-3
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2021-04-06 12:53:21 UTC; linda.altieri4
Repository: CRAN
Date/Publication: 2021-04-07 09:50:02 UTC

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Package spaMM updated to version 3.7.34 with previous version 3.7.2 dated 2021-02-26

Title: Mixed-Effect Models, Particularly Spatial Models
Description: Inference based on mixed-effect models, including generalized linear mixed models with spatial correlations, multivariate responses, and models with non-Gaussian random effects (e.g., Beta). Various approximations of likelihood or restricted likelihood are implemented, in particular Laplace approximation and h-likelihood (Lee and Nelder 2001 <doi:10.1093/biomet/88.4.987>). Both classical geostatistical models, and Markov random field models on irregular grids (as considered in the 'INLA' package, <https://www.r-inla.org>), can be fitted. Variation in residual variance (heteroscedasticity) can itself be represented by a mixed-effect model.
Author: François Rousset [aut, cre, cph] (<https://orcid.org/0000-0003-4670-0371>), Jean-Baptiste Ferdy [aut, cph], Alexandre Courtiol [aut] (<https://orcid.org/0000-0003-0637-2959>), GSL authors [ctb] (src/gsl_bessel.*)
Maintainer: François Rousset <francois.rousset@umontpellier.fr>

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Package redist updated to version 3.0.1 with previous version 2.0.2 dated 2020-10-13

Title: Simulation Methods for Legislative Redistricting
Description: Enables researchers to sample redistricting plans from a pre-specified target distribution using Sequential Monte Carlo and Markov Chain Monte Carlo algorithms. The package allows for the implementation of various constraints in the redistricting process such as geographic compactness and population parity requirements. Tools for analysis such as computation of various summary statistics and plotting functionality are also included. The package implements methods described in Fifield, Higgins, Imai and Tarr (2020) <doi: 10.1080/10618600.2020.1739532>, Fifield, Imai, Kawahara, and Kenny (2020) <doi: 10.1080/2330443X.2020.1791773>, and McCartan and Imai (2020) <arXiv: 2008.06131>.
Author: Christopher T. Kenny [aut, cre], Cory McCartan [aut], Ben Fifield [aut], Kosuke Imai [aut], Jun Kawahara [ctb], Alexander Tarr [ctb], Michael Higgins [ctb]
Maintainer: Christopher T. Kenny <christopherkenny@fas.harvard.edu>

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Permanent link

Package NonParRolCor updated to version 0.6.0 with previous version 0.4.0 dated 2021-03-31

Title: a Non-Parametric Statistical Significance Test for Rolling Correlation
Description: Estimates and plots (as a heat map) the statistical significance of rolling window correlation coefficients, which is carried out through a non-parametric computing-intensive method. This method addresses the effects due to the multiple testing (inflation of the Type I error) when the statistical significance is estimated for the rolling window correlation coefficients. The method is based on Monte Carlo simulations by permuting one of the variables (dependent) under analysis and keeping fixed the other variable (independent). We improve the computational efficiency of this method to reduce the computation time through parallel computing. The 'NonParRolCor' package also provides examples with synthetic and real-life ecological time series to exemplify its use. Methods derived from R. Telford (2013) <https://quantpalaeo.wordpress.com/2013/01/04/> and J.M. Polanco-Martinez (2020) <doi:10.1016/j.ecoinf.2020.101163>.
Author: Josue M. Polanco-Martinez [aut, cph, cre] (<https://orcid.org/0000-0001-7164-0185>), Jose L. Lopez-Martinez [ctb] (<https://orcid.org/0000-0002-2489-7559>)
Maintainer: Josue M. Polanco-Martinez <josue.m.polanco@gmail.com>

Diff between NonParRolCor versions 0.4.0 dated 2021-03-31 and 0.6.0 dated 2021-04-07

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More information about NonParRolCor at CRAN
Permanent link

Package HSAUR3 updated to version 1.0-11 with previous version 1.0-10 dated 2020-09-21

Title: A Handbook of Statistical Analyses Using R (3rd Edition)
Description: Functions, data sets, analyses and examples from the third edition of the book ''A Handbook of Statistical Analyses Using R'' (Torsten Hothorn and Brian S. Everitt, Chapman & Hall/CRC, 2014). The first chapter of the book, which is entitled ''An Introduction to R'', is completely included in this package, for all other chapters, a vignette containing all data analyses is available. In addition, Sweave source code for slides of selected chapters is included in this package (see HSAUR3/inst/slides). The publishers web page is '<http://www.crcpress.com/product/isbn/9781482204582>'.
Author: Torsten Hothorn and Brian S. Everitt
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

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Package hawkesbow updated to version 1.0.1 with previous version 1.0.0 dated 2021-03-31

Title: Estimation of Hawkes Processes from Binned Observations
Description: Implements an estimation method for Hawkes processes when count data are only observed in discrete time, using a spectral approach derived from the Bartlett spectrum, see Cheysson and Lang (2020) <arXiv:2003.04314>. Some general use functions for Hawkes processes are also included: simulation of (in)homogeneous Hawkes process, maximum likelihood estimation, residual analysis, etc.
Author: Felix Cheysson [aut, cre] (<https://orcid.org/0000-0002-9095-2878>)
Maintainer: Felix Cheysson <felix@cheysson.fr>

Diff between hawkesbow versions 1.0.0 dated 2021-03-31 and 1.0.1 dated 2021-04-07

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Package dparser updated to version 1.3.1-4 with previous version 1.3.1-3 dated 2021-04-06

Title: Port of 'Dparser' Package
Description: A Scannerless GLR parser/parser generator. Note that GLR standing for "generalized LR", where L stands for "left-to-right" and R stands for "rightmost (derivation)". For more information see <https://en.wikipedia.org/wiki/GLR_parser>. This parser is based on the Tomita (1987) algorithm. (Paper can be found at <https://www.aclweb.org/anthology/P84-1073.pdf>). The original 'dparser' package documentation can be found at <http://dparser.sourceforge.net/>. This allows you to add mini-languages to R (like RxODE's ODE mini-language Wang, Hallow, and James 2015 <DOI:10.1002/psp4.12052>) or to parse other languages like 'NONMEM' to automatically translate them to R code. To use this in your code, add a LinkingTo dparser in your DESCRIPTION file and instead of using #include <dparse.h> use #include <dparser.h>. This also provides a R-based port of the make_dparser <http://dparser.sourceforge.net/d/make_dparser.cat> command called mkdparser(). Additionally you can parse an arbitrary grammar within R using the dparse() function, which works on most OSes and is mainly for grammar testing. The fastest parsing, of course, occurs at the C level, and is suggested.
Author: Matthew Fidler [aut, cre], John Plevyak [aut, cph]
Maintainer: Matthew Fidler <matthew.fidler@gmail.com>

Diff between dparser versions 1.3.1-3 dated 2021-04-06 and 1.3.1-4 dated 2021-04-07

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Package devtools updated to version 2.4.0 with previous version 2.3.2 dated 2020-09-18

Title: Tools to Make Developing R Packages Easier
Description: Collection of package development tools.
Author: Hadley Wickham [aut], Jim Hester [aut, cre], Winston Chang [aut], RStudio [cph, fnd]
Maintainer: Jim Hester <jim.hester@rstudio.com>

Diff between devtools versions 2.3.2 dated 2020-09-18 and 2.4.0 dated 2021-04-07

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Package bsts updated to version 0.9.6 with previous version 0.9.5 dated 2020-05-02

Title: Bayesian Structural Time Series
Description: Time series regression using dynamic linear models fit using MCMC. See Scott and Varian (2014) <DOI:10.1504/IJMMNO.2014.059942>, among many other sources.
Author: Steven L. Scott <steve.the.bayesian@gmail.com>
Maintainer: Steven L. Scott <steve.the.bayesian@gmail.com>

Diff between bsts versions 0.9.5 dated 2020-05-02 and 0.9.6 dated 2021-04-07

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Package AlleleShift updated to version 1.0-1 with previous version 0.9-2 dated 2021-01-29

Title: Predict and Visualize Population-Level Changes in Allele Frequencies in Response to Climate Change
Description: Methods (Kindt, R. 2021. <doi:10.1101/2021.01.15.426775>) are provided of calibrating and predicting shifts in allele frequencies through redundancy analysis ('vegan::rda()') and generalized additive models ('mgcv::gam()'). Visualization functions for predicted changes in allele frequencies include 'shift.dot.ggplot()', 'shift.pie.ggplot()', 'shift.moon.ggplot()', 'shift.waffle.ggplot()' and 'shift.surf.ggplot()' that are made with input data sets that are prepared by helper functions for each visualization method. Examples in the documentation show how to prepare animated climate change graphics through a time series with the 'gganimate' package. Function 'amova.rda()' shows how Analysis of Molecular Variance can be directly conducted with the results from redundancy analysis.
Author: Roeland Kindt [cre, aut] (<https://orcid.org/0000-0002-7672-0712>)
Maintainer: Roeland Kindt <R.KINDT@CGIAR.ORG>

Diff between AlleleShift versions 0.9-2 dated 2021-01-29 and 1.0-1 dated 2021-04-07

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New package svplots with initial version 0.1.0
Package: svplots
Title: Sample Variance Plots (Sv-Plots)
Version: 0.1.0
Author: Uditha Amarananda Wijesuriya <u.wijesuriya@usi.edu>
Maintainer: Uditha Amarananda Wijesuriya <u.wijesuriya@usi.edu>
Description: Two versions of sample variance plots, Sv-plot1 and Sv-plot2, will be provided illustrating the squared deviations from sample variance. Besides indicating the contribution of squared deviations for the sample variability, these plots are capable of detecting characteristics of the distribution such as symmetry, skewness and outliers. A remarkable graphical method based on Sv-plot2 can determine the decision on testing hypotheses over one or two population means. In sum, Sv-plots will be appealing visualization tools. Complete description of this methodology can be found in the article, Wijesuriya (2020) <doi:10.1080/03610918.2020.1851716>.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.0.2)
Imports: ggplot2
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, stats
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-04-06 15:55:07 UTC; uwijesuriy
Repository: CRAN
Date/Publication: 2021-04-07 08:40:02 UTC

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New package SNSchart with initial version 1.4.0
Package: SNSchart
Title: Sequential Normal Scores in Statistical Process Management
Version: 1.4.0
Authors@R: c(person("Victor", "Tercero", email = "victor.tercero@tec.mx", role=c("aut")), person("Luis", "Benavides", email = "luisbv@tec.mx", role = c("aut", "cre")), person("Jorge", "Merlo", email = "jorgemerlo24@gmail.com", role = c("ctb")))
Author: Victor Tercero [aut], Luis Benavides [aut, cre], Jorge Merlo [ctb]
Maintainer: Luis Benavides <luisbv@tec.mx>
Description: The methods discussed in this package are new non-parametric methods based on sequential normal scores 'SNS' (Conover et al (2017) <doi:10.1080/07474946.2017.1360091>), designed for sequences of observations, usually time series data, which may occur singly or in batches, and may be univariate or multivariate. These methods are designed to detect changes in the process, which may occur as changes in location (mean or median), changes in scale (standard deviation, or variance), or other changes of interest in the distribution of the observations, over the time observed. They usually apply to large data sets, so computations need to be simple enough to be done in a reasonable time on a computer, and easily updated as each new observation (or batch of observations) becomes available. Some examples and more detail in 'SNS' is presented in the work by Conover et al (2019) <arXiv:1901.04443>.
Depends: R (>= 2.10)
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: parallel, stats, MASS
Suggests: testthat, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-04-05 18:22:03 UTC; L03099908
Repository: CRAN
Date/Publication: 2021-04-07 08:40:15 UTC

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New package rnpn with initial version 1.2.1
Package: rnpn
Title: Interface to the National 'Phenology' Network 'API'
Description: Programmatic interface to the Web Service methods provided by the National 'Phenology' Network (<https://usanpn.org/>), which includes data on various life history events that occur at specific times.
Version: 1.2.1
License: MIT + file LICENSE
Authors@R: c( person("Lee", "Marsh", role = c("aut", "cre"), email = "lee@usanpn.org"), person("Scott", "Chamberlain", role = "aut"), person("Alyssa", "Rosemartin", role= "aut", email = "alyssa@usanpn.org"), person("Kevin", "Wong", role = "aut", email = "kevin@usanpn.org") )
Depends: R (>= 3.5.0)
Imports: httr (>= 1.1.0), jsonlite (>= 0.9.19), data.table (>= 1.9.6), sp (>= 1.1-0), tibble, curl, raster, rgdal, plyr, XML, magrittr
Suggests: ggplot2, testthat, covr, knitr, markdown, rmarkdown, RColorBrewer, vcr
VignetteBuilder: knitr
URL: https://docs.ropensci.org/rnpn/ (website) https://github.com/ropensci/rnpn/ (devel)
NeedsCompilation: no
Packaged: 2021-04-05 21:26:24 UTC; Lee
Author: Lee Marsh [aut, cre], Scott Chamberlain [aut], Alyssa Rosemartin [aut], Kevin Wong [aut]
Maintainer: Lee Marsh <lee@usanpn.org>
Repository: CRAN
Date/Publication: 2021-04-07 08:50:03 UTC

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New package Rediscover with initial version 0.1.0
Package: Rediscover
Title: Identify Mutually Exclusive Mutations
Version: 0.1.0
Authors@R: c(person("Juan A. Ferrer-Bonsoms", "Developer", role = c("aut", "cre"), email = "jafhernandez@tecnun.es"), person("Laura Jareno", "Developer", role = "aut"), person("Angel Rubio", "User", role = c("aut","ctb"), email = "arubio@tecnun.es"))
Description: An optimized method for identifying mutually exclusive genomic events. Its main contribution is a statistical analysis based on the Poisson-Binomial distribution that takes into account that some samples are more mutated than others. See [Canisius, Sander, John WM Martens, and Lodewyk FA Wessels. (2016) "A novel independence test for somatic alterations in cancer shows that biology drives mutual exclusivity but chance explains most co-occurrence." Genome biology 17.1 : 1-17. <doi:10.1186/s13059-016-1114-x>]. The mutations matrices are sparce matrices. The method developed takes advantage of the advantages of this type of matrix to save time and computing resources.
Depends: R (>= 4.0), Matrix, speedglm, PoissonBinomial
Imports: maftools, data.table, parallel, RColorBrewer, methods
Suggests: knitr, rmarkdown, RUnit, BiocStyle, BiocGenerics, dplyr, kableExtra, TCGAbiolinks, magick, stats
License: Artistic-2.0
LazyData: true
Encoding: UTF-8
biocViews: mutex
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-04-06 08:32:42 UTC; jferrerb
Author: Juan A. Ferrer-Bonsoms Developer [aut, cre], Laura Jareno Developer [aut], Angel Rubio User [aut, ctb]
Maintainer: Juan A. Ferrer-Bonsoms Developer <jafhernandez@tecnun.es>
Repository: CRAN
Date/Publication: 2021-04-07 09:00:02 UTC

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New package gghilbertstrings with initial version 0.3.3
Package: gghilbertstrings
Title: A Fast 'ggplot2'-Based Implementation of Hilbert Curves
Version: 0.3.3
Authors@R: person(given = "André", family = "Calero Valdez", role = c("aut", "cre"), email = "andrecalerovaldez@gmail.com", comment = c(ORCID = "0000-0002-6214-1461"))
Description: A set of functions that help to create plots based on Hilbert curves. Hilbert curves are used to map one dimensional data into the 2D plane. The package provides a function that generate a 2D coordinate from an integer position. As a specific use case the package provides a function that allows mapping a character column in a data frame into 2D space using 'ggplot2'. This allows visually comparing long lists of URLs, words, genes or other data that has a fixed order and position.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/Sumidu/gghilbertstrings
BugReports: https://github.com/Sumidu/gghilbertstrings/issues
SystemRequirements: C++11
Imports: ggplot2, dplyr, magrittr, tibble, lifecycle, Rcpp, rlang
Suggests: testthat, covr, spelling, profvis
Language: en-US
RdMacros: lifecycle
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2021-04-05 15:53:28 UTC; andrecalerovaldez
Author: André Calero Valdez [aut, cre] (<https://orcid.org/0000-0002-6214-1461>)
Maintainer: André Calero Valdez <andrecalerovaldez@gmail.com>
Repository: CRAN
Date/Publication: 2021-04-07 08:30:02 UTC

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New package cuperdec with initial version 1.0.0
Package: cuperdec
Title: Cumulative Percent Decay Curve Generator
Version: 1.0.0
Authors@R: person(given = "James A.", family = "Fellows Yates", role = c("aut", "cre"), email = "jfy133@gmail.com", comment = c(ORCID = "0000-0001-5585-6277"))
Description: Calculates and visualises cumulative percent 'decay' curves, which are typically calculated from metagenomic taxonomic profiles. These can be used to estimate the level of expected 'endogenous' taxa at different abundance levels retrieved from metagenomic samples, when comparing to samples of known sampling site or source.
License: MIT + file LICENSE
URL: https://github.com/jfy133/cuperdec
BugReports: https://github.com/jfy133/cuperdec/issues
Depends: R (>= 3.5.0)
Imports: dplyr, ggplot2, magrittr, readr, rlang, tidyr
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-GB
LazyData: true
NeedsCompilation: no
Packaged: 2021-04-06 15:42:28 UTC; jfellows
Author: James A. Fellows Yates [aut, cre] (<https://orcid.org/0000-0001-5585-6277>)
Maintainer: James A. Fellows Yates <jfy133@gmail.com>
Repository: CRAN
Date/Publication: 2021-04-07 08:40:06 UTC

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New package ClaimsProblems with initial version 0.1.0
Package: ClaimsProblems
Title: Analysis of Conflicting Claims
Version: 0.1.0
Authors@R: c( person("Iago","Núñez Lugilde",role=c("aut","cre"), email="iago.nunez.lugilde@uvigo.es",comment="SIDOR. Departamento de Estatística e Investigación Operativa. Universidade de Vigo. Spain"), person("Miguel Ángel","Mirás Calvo",role=c("aut"), comment="ECOBAS. Departamento de Matemáticas. Universidade de Vigo. Spain"), person("Carmen","Quinteiro Sandomingo",role=c("aut"), comment="Departamento de Matemáticas. Universidade de Vigo. Spain"), person("Estela","Sánchez Rodríguez",role=c("aut"),comment="CINBIO. Universidade de Vigo. Grupo SIDOR. Departamento de Estatística e Investigación Operativa. Universidade de Vigo. Spain") )
Maintainer: Iago Núñez Lugilde <iago.nunez.lugilde@uvigo.es>
Description: The analysis of conflicting claims arises when an amount has to be divided among a set of agents with claims that exceed what is available. A rule is a way of selecting a division among the claimants. This package computes the main rules introduced in the literature from the old times until nowadays. The inventory of rules covers the proportional and the adjusted proportional rules, the constrained equal awards and the constrained equal losses rules, the constrained egalitarian, the Piniles’ and the minimal overlap rules, the random arrival and the Talmud rules. Besides, the Dominguez and Thomson and the average of awards rules are also included. All of them can be found in the book of W. Thomson (2019), 'How to divide when there isn't enough. From Aristotle, the Talmud, and Maimonides to the axiomatics of resource allocation'. Cambridge University Press, ISBN: 9781316646441, with the exception of the average of awards rule (Mirás et al. (2020) <http://ecobas.webs.uvigo.es/wk/2020-02-corecenterforthebankruptcyproblem.pdf>). In addition, graphical diagrams allow the user to represent, among others, the set of awards, the paths of awards, and the schedules of awards of a rule, and some indexes. A good understanding of the similarities and the differences of the rules is useful for a better decision making. Therefore this package could be helpful to students, researchers and managers alike.
License: GPL-3
Encoding: UTF-8
Imports: graphics, rgl, geometry, grDevices, stats
NeedsCompilation: no
Packaged: 2021-04-05 15:15:11 UTC; iagol
Author: Iago Núñez Lugilde [aut, cre] (SIDOR. Departamento de Estatística e Investigación Operativa. Universidade de Vigo. Spain), Miguel Ángel Mirás Calvo [aut] (ECOBAS. Departamento de Matemáticas. Universidade de Vigo. Spain), Carmen Quinteiro Sandomingo [aut] (Departamento de Matemáticas. Universidade de Vigo. Spain), Estela Sánchez Rodríguez [aut] (CINBIO. Universidade de Vigo. Grupo SIDOR. Departamento de Estatística e Investigación Operativa. Universidade de Vigo. Spain)
Repository: CRAN
Date/Publication: 2021-04-07 08:30:06 UTC

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Package bikeshare14 updated to version 0.1.4 with previous version 0.1.2 dated 2019-01-03

Title: Bay Area Bike Share Trips in 2014
Description: Anonymised Bay Area bike share trip data for the year 2014. Also contains additional metadata on stations and weather.
Author: Arunkumar Srinivasan [aut, cre]
Maintainer: Arunkumar Srinivasan <asrini@pm.me>

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Package autostsm updated to version 1.2.2 with previous version 1.2.1 dated 2021-03-01

Title: Automatic Structural Time Series Models
Description: Automatic model selection for structural time series decomposition into trend, cycle, and seasonal components using the Kalman filter. Koopman, Siem Jan and Marius Ooms (2012) "Forecasting Economic Time Series Using Unobserved Components Time Series Models" <doi:10.1093/oxfordhb/9780195398649.013.0006>. Kim, Chang-Jin and Charles R. Nelson (1999) "State-Space Models with Regime Switching: Classical and Gibbs-Sampling Approaches with Applications" <doi:10.7551/mitpress/6444.001.0001><http://econ.korea.ac.kr/~cjkim/>.
Author: Alex Hubbard
Maintainer: Alex Hubbard <hubbard.alex@gmail.com>

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Package adespatial updated to version 0.3-14 with previous version 0.3-13 dated 2021-02-26

Title: Multivariate Multiscale Spatial Analysis
Description: Tools for the multiscale spatial analysis of multivariate data. Several methods are based on the use of a spatial weighting matrix and its eigenvector decomposition (Moran's Eigenvectors Maps, MEM). Several approaches are described in the review Dray et al (2012) <doi:10.1890/11-1183.1>.
Author: Stéphane Dray, David Bauman, Guillaume Blanchet, Daniel Borcard, Sylvie Clappe, Guillaume Guenard, Thibaut Jombart, Guillaume Larocque, Pierre Legendre, Naima Madi, Helene H Wagner
Maintainer: Stéphane Dray <stephane.dray@univ-lyon1.fr>

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Package RNewsflow updated to version 1.2.6 with previous version 1.2.5 dated 2020-11-02

Title: Tools for Comparing Text Messages Across Time and Media
Description: A collection of tools for measuring the similarity of text messages and tracing the flow of messages over time and across media.
Author: Kasper Welbers & Wouter van Atteveldt
Maintainer: Kasper Welbers <kasperwelbers@gmail.com>

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Package gconcord (with last version 0.4) was removed from CRAN

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Package blockcluster (with last version 4.4.3) was removed from CRAN

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Package scPDSI (with last version 0.1.3) was removed from CRAN

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Package mined (with last version 1.0-2) was removed from CRAN

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Package icemelt (with last version 1.0) was removed from CRAN

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Package glmgraph (with last version 1.0.3) was removed from CRAN

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Package strucchangeRcpp (with last version 1.5-3-1.0.1) was removed from CRAN

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Package SortedEffects updated to version 1.3.0 with previous version 1.2.0 dated 2020-04-01

Title: Estimation and Inference Methods for Sorted Causal Effects and Classification Analysis
Description: Implements the estimation and inference methods for sorted causal effects and classification analysis as in Chernozhukov, Fernandez-Val and Luo (2018) <doi:10.3982/ECTA14415>.
Author: Shuowen Chen [aut, cre], Victor Chernozhukov [aut], Ivan Fernandez-Val [aut], Ye Luo [aut]
Maintainer: Shuowen Chen <swchen@bu.edu>

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Package biotools updated to version 4.1 with previous version 4.0 dated 2020-12-07

Title: Tools for Biometry and Applied Statistics in Agricultural Science
Description: Tools designed to perform and evaluate cluster analysis (including Tocher's algorithm), discriminant analysis and path analysis (standard and under collinearity), as well as some useful miscellaneous tools for dealing with sample size and optimum plot size calculations. A test for seed sample heterogeneity is now available. Mantel's permutation test can be found in this package. A new approach for calculating its power is implemented. biotools also contains tests for genetic covariance components. Heuristic approaches for performing non-parametric spatial predictions of generic response variables and spatial gene diversity are implemented.
Author: Anderson Rodrigo da Silva [aut, cre] (<https://orcid.org/0000-0003-2518-542X>)
Maintainer: Anderson Rodrigo da Silva <anderson.agro@hotmail.com>

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Tue, 06 Apr 2021

Package RJcluster updated to version 2.5.0 with previous version 0.1.2 dated 2021-03-10

Title: RJ Clustering Algorithm
Description: Clustering algorithm for high dimensional data. This algorithm is ideal for data where N << P. Assuming that P feature measurements on N objects are arranged in an N×P matrix X, this package provides clustering based on the left Gram matrix XX^T. When the P-dimensional feature vectors of objects are drawn independently from a K distinct mixture distribution, the N-dimensional rows of the modified Gram matrix XX^T/P converges almost surely to K distinct cluster means. This transformation/projection thus allows the clusters to be tighter with order of P. To simulate data, type "help('simulate_HD_data')" and to learn how to use the clustering algorithm, type "help('RJclust')".
Author: Rachael Shudde [aut, cre], Shahina Rahman [aut], Valen Johnson [aut]
Maintainer: Rachael Shudde <rachael.shudde@gmail.com>

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Package rheroicons updated to version 0.3.2 with previous version 0.3.1 dated 2021-02-26

Title: A Zero Dependency 'SVG' Icon Library for 'Shiny'
Description: An implementation of the 'Heroicons' icon library for 'shiny' applications and other 'R' web-based projects. You can search, render, and customize icons without 'CSS' or 'JavaScript' dependencies.
Author: David Ruvolo [aut, cre] (<https://orcid.org/0000-0002-5745-5298>), Adam Wathan [ctb, cph] (Author of heroicons library), Steve Schoger [ctb, cph] (Author of heroicons library)
Maintainer: David Ruvolo <dcruvolo@gmail.com>

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Package liver updated to version 1.6 with previous version 1.5 dated 2021-03-09

Title: "Eating the Liver of Data Science"
Description: Provides a collection of helper functions that make various techniques from data science more user-friendly for non-experts. In this way, our aim is to allow non-experts to become familiar with the techniques with only a minimal level of coding knowledge. Indeed, following an ancient Persian idiom, we refer to this as "eating the liver of data science" which could be interpreted as "getting intimately close with data science". Examples of procedures we include are: data partitioning for out-of-sample testing, computing Mean Squared Error (MSE) for quantifying prediction accuracy, and data transformation (z-score and min-max). Besides such helper functions, the package also includes several interesting datasets that are useful for multivariate analysis.
Author: Reza Mohammadi [aut, cre] (<https://orcid.org/0000-0001-9538-0648>), Kevin Burke [aut]
Maintainer: Reza Mohammadi <a.mohammadi@uva.nl>

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Package stplanr updated to version 0.8.2 with previous version 0.8.1 dated 2021-01-07

Title: Sustainable Transport Planning
Description: Tools for transport planning with an emphasis on spatial transport data and non-motorized modes. Enables common transport planning tasks including: downloading and cleaning transport datasets; creating geographic "desire lines" from origin-destination (OD) data; route assignment, locally and via interfaces to routing services such as <https://cyclestreets.net/> and calculation of route segment attributes such as bearing. The package implements the 'travel flow aggregration' method described in Morgan and Lovelace (2020) <doi:10.1177/2399808320942779>. Further information on the package's aim and scope can be found in the vignettes and in a paper in the R Journal (Lovelace and Ellison 2018) <doi:10.32614/RJ-2018-053>.
Author: Robin Lovelace [aut, cre] (<https://orcid.org/0000-0001-5679-6536>), Richard Ellison [aut], Malcolm Morgan [aut] (<https://orcid.org/0000-0002-9488-9183>), Barry Rowlingson [ctb], Nick Bearman [ctb], Nikolai Berkoff [ctb], Scott Chamberlain [rev] (Scott reviewed the package for rOpenSci, see https://github.com/ropensci/onboarding/issues/10), Mark Padgham [ctb], Andrea Gilardi [ctb] (<https://orcid.org/0000-0002-9424-7439>)
Maintainer: Robin Lovelace <rob00x@gmail.com>

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Package regressoR updated to version 1.2.1 with previous version 1.1.9 dated 2020-07-01

Title: Regression Data Analysis System
Description: Perform a supervised data analysis on a database through a 'shiny' graphical interface. It includes methods such as linear regression, penalized regression, k-nearest neighbors, decision trees, ada boosting, extreme gradient boosting, random forest, neural networks, deep learning and support vector machines.
Author: Oldemar Rodriguez R. [aut, cre], Andres Navarro D. [ctb, prg], Diego Jimenez A. [ctb, prg], Ariel Arroyo S. [ctb, prg]
Maintainer: Oldemar Rodriguez R. <oldemar.rodriguez@ucr.ac.cr>

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Package beakr updated to version 0.4.3 with previous version 0.4.2 dated 2021-03-04

Title: A Minimalist Web Framework for R
Description: A minimalist web framework for developing application programming interfaces in R that provides a flexible framework for handling common HTTP-requests, errors, logging, and an ability to integrate any R code as server middle-ware.
Author: Hans Martin [aut], Jonathan Callahan [aut, cre]
Maintainer: Jonathan Callahan <jonathan.s.callahan@gmail.com>

Diff between beakr versions 0.4.2 dated 2021-03-04 and 0.4.3 dated 2021-04-06

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Package WDI updated to version 2.7.4 with previous version 2.7.3 dated 2021-03-30

Title: World Development Indicators and Other World Bank Data
Description: Search and download data from over 40 databases hosted by the World Bank, including the World Development Indicators ('WDI'), International Debt Statistics, Doing Business, Human Capital Index, and Sub-national Poverty indicators.
Author: Vincent Arel-Bundock [aut, cre] (<https://orcid.org/0000-0003-2042-7063>), Etienne Bacher [ctb]
Maintainer: Vincent Arel-Bundock <vincent.arel-bundock@umontreal.ca>

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Package walker updated to version 1.0.2 with previous version 1.0.1-1 dated 2021-01-30

Title: Bayesian Generalized Linear Models with Time-Varying Coefficients
Description: Bayesian generalized linear models with time-varying coefficients as in Helske (2020, <arXiv:2009.07063>). Gaussian, Poisson, and binomial observations are supported. The Markov chain Monte Carlo (MCMC) computations are done using Hamiltonian Monte Carlo provided by Stan, using a state space representation of the model in order to marginalise over the coefficients for efficient sampling. For non-Gaussian models, the package uses the importance sampling type estimators based on approximate marginal MCMC as in Vihola, Helske, Franks (2020, <doi:10.1111/sjos.12492>).
Author: Jouni Helske [aut, cre] (<https://orcid.org/0000-0001-7130-793X>)
Maintainer: Jouni Helske <jouni.helske@iki.fi>

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Package UCSCXenaTools updated to version 1.4.4 with previous version 1.4.3 dated 2021-03-22

Title: Download and Explore Datasets from UCSC Xena Data Hubs
Description: Download and explore datasets from UCSC Xena data hubs, which are a collection of UCSC-hosted public databases such as TCGA, ICGC, TARGET, GTEx, CCLE, and others. Databases are normalized so they can be combined, linked, filtered, explored and downloaded.
Author: Shixiang Wang [aut, cre] (<https://orcid.org/0000-0001-9855-7357>), Xue-Song Liu [aut] (<https://orcid.org/0000-0002-7736-0077>), Martin Morgan [ctb], Christine Stawitz [rev] (Christine reviewed the package for ropensci, see <https://github.com/ropensci/software-review/issues/315>), Carl Ganz [rev] (Carl reviewed the package for ropensci, see <https://github.com/ropensci/software-review/issues/315>)
Maintainer: Shixiang Wang <w_shixiang@163.com>

Diff between UCSCXenaTools versions 1.4.3 dated 2021-03-22 and 1.4.4 dated 2021-04-06

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Package NSM3 updated to version 1.16 with previous version 1.15 dated 2020-08-31

Title: Functions and Datasets to Accompany Hollander, Wolfe, and Chicken - Nonparametric Statistical Methods, Third Edition
Description: Designed to replace the tables which were in the back of the first two editions of Hollander and Wolfe - Nonparametric Statistical Methods. Exact procedures are performed when computationally possible. Monte Carlo and Asymptotic procedures are performed otherwise. For those procedures included in the base packages, our code simply provides a wrapper to standardize the output with the other procedures in the package.
Author: Grant Schneider, Eric Chicken, Rachel Becvarik
Maintainer: Grant Schneider <gschneidz@gmail.com>

Diff between NSM3 versions 1.15 dated 2020-08-31 and 1.16 dated 2021-04-06

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Package nadiv updated to version 2.17.1 with previous version 2.17.0 dated 2021-01-14

Title: (Non)Additive Genetic Relatedness Matrices
Description: Constructs (non)additive genetic relationship matrices, and their inverses, from a pedigree to be used in linear mixed effect models (A.K.A. the 'animal model'). Also includes other functions to facilitate the use of animal models. Some functions have been created to be used in conjunction with the R package 'asreml' for the 'ASReml' software, which can be obtained upon purchase from 'VSN' international (<https://www.vsni.co.uk/software/asreml>).
Author: Matthew Wolak [cre, aut]
Maintainer: Matthew Wolak <matthewwolak@gmail.com>

Diff between nadiv versions 2.17.0 dated 2021-01-14 and 2.17.1 dated 2021-04-06

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Package geneExpressionFromGEO updated to version 0.5 with previous version 0.4 dated 2021-01-25

Title: Retrieves Gene Expression Dataset and Gene Symbols from GEO Code
Description: A function that reads in the GEO code of a gene expression dataset, retrieves its data from GEO, (optional) retrieves the gene symbols of the dataset, and returns a simple dataframe table containing all the data. Platforms available: GPL11532, GPL23126, GPL6244, GPL80, GPL8300, GPL80, GPL96, GPL570, GPL571, GPL20115, GPL1293, GPL6102, GPL6104, GPL6883, GPL6884, GPL13497, GPL14550, GPL17077, GPL6480. GEO: Gene Expression Omnibus. ID: identifier code. The GEO datasets are downloaded from the URL <https://ftp.ncbi.nlm.nih.gov/geo/series/>.
Author: Davide Chicco [aut, cre]
Maintainer: Davide Chicco <davidechicco@davidechicco.it>

Diff between geneExpressionFromGEO versions 0.4 dated 2021-01-25 and 0.5 dated 2021-04-06

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Package dparser updated to version 1.3.1-3 with previous version 1.3.1-2 dated 2021-04-03

Title: Port of 'Dparser' Package
Description: A Scannerless GLR parser/parser generator. Note that GLR standing for "generalized LR", where L stands for "left-to-right" and R stands for "rightmost (derivation)". For more information see <https://en.wikipedia.org/wiki/GLR_parser>. This parser is based on the Tomita (1987) algorithm. (Paper can be found at <https://www.aclweb.org/anthology/P84-1073.pdf>). The original 'dparser' package documentation can be found at <http://dparser.sourceforge.net/>. This allows you to add mini-languages to R (like RxODE's ODE mini-language Wang, Hallow, and James 2015 <DOI:10.1002/psp4.12052>) or to parse other languages like 'NONMEM' to automatically translate them to R code. To use this in your code, add a LinkingTo dparser in your DESCRIPTION file and instead of using #include <dparse.h> use #include <dparser.h>. This also provides a R-based port of the make_dparser <http://dparser.sourceforge.net/d/make_dparser.cat> command called mkdparser(). Additionally you can parse an arbitrary grammar within R using the dparse() function, which works on most OSes and is mainly for grammar testing. The fastest parsing, of course, occurs at the C level, and is suggested.
Author: Matthew Fidler [aut, cre], John Plevyak [aut, cph]
Maintainer: Matthew Fidler <matthew.fidler@gmail.com>

Diff between dparser versions 1.3.1-2 dated 2021-04-03 and 1.3.1-3 dated 2021-04-06

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Package pkgload updated to version 1.2.1 with previous version 1.2.0 dated 2021-02-23

Title: Simulate Package Installation and Attach
Description: Simulates the process of installing a package and then attaching it. This is a key part of the 'devtools' package as it allows you to rapidly iterate while developing a package.
Author: Hadley Wickham [aut], Jim Hester [aut, cre], Winston Chang [aut], RStudio [cph], R Core team [ctb] (Some namespace and vignette code extracted from base R)
Maintainer: Jim Hester <jim.hester@rstudio.com>

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Package equateMultiple updated to version 0.1.0 with previous version 0.0.1 dated 2020-10-26

Title: Equating of Multiple Forms
Description: Equating of multiple forms using Item Response Theory (IRT) methods (Battauz M. (2017) <doi:10.1007/s11336-016-9517-x> and Haberman S. J. (2009) <doi:10.1002/j.2333-8504.2009.tb02197.x>).
Author: Michela Battauz
Maintainer: Michela Battauz <michela.battauz@uniud.it>

Diff between equateMultiple versions 0.0.1 dated 2020-10-26 and 0.1.0 dated 2021-04-06

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Package clustertend updated to version 1.5 with previous version 1.4 dated 2015-05-19

Title: Check the Clustering Tendency
Description: Calculate some statistics aiming to help analyzing the clustering tendency of given data. In the first version, Hopkins' statistic is implemented.
Author: Kevin Wright [aut, cre] (<https://orcid.org/0000-0002-0617-8673>), Luo YiLan [aut], Zeng RuTong [aut]
Maintainer: Kevin Wright <kw.stat@gmail.com>

Diff between clustertend versions 1.4 dated 2015-05-19 and 1.5 dated 2021-04-06

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Package cglasso updated to version 2.0.3 with previous version 2.0.2 dated 2021-01-21

Title: Conditional Graphical LASSO for Gaussian Graphical Models with Censored and Missing Values
Description: Conditional graphical lasso estimator is an extension of the graphical lasso proposed to estimate the conditional dependence structure of a set of p response variables given q predictors. This package provides suitable extensions developed to study datasets with censored and/or missing values. Standard conditional graphical lasso is available as a special case. Furthermore, the package provides an integrated set of core routines for visualization, analysis, and simulation of datasets with censored and/or missing values drawn from a Gaussian graphical model. Details about the implemented models can be found in Augugliaro et al. (2020b) <doi: 10.1007/s11222-020-09945-7>, Augugliaro et al. (2020a) <doi: 10.1093/biostatistics/kxy043>, Yin et al. (2001) <doi: 10.1214/11-AOAS494> and Stadler et al. (2012) <doi: 10.1007/s11222-010-9219-7>.
Author: Luigi Augugliaro [aut, cre] (<https://orcid.org/0000-0002-4603-7541>), Gianluca Sottile [aut] (<https://orcid.org/0000-0001-9347-7251>), Ernst C. Wit [aut] (<https://orcid.org/0000-0002-3671-9610>), Veronica Vinciotti [aut] (<https://orcid.org/0000-0002-2625-7977>)
Maintainer: Luigi Augugliaro <luigi.augugliaro@unipa.it>

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Package AzureGraph updated to version 1.2.2 with previous version 1.2.1 dated 2021-02-09

Title: Simple Interface to 'Microsoft Graph'
Description: A simple interface to the 'Microsoft Graph' API <https://docs.microsoft.com/en-us/graph/overview>. 'Graph' is a comprehensive framework for accessing data in various online Microsoft services. Currently, this package aims to provide an R interface only to the 'Azure Active Directory' part, with a view to supporting interoperability of R and 'Azure': users, groups, registered apps and service principals. However it can be easily extended to cover other services. Part of the 'AzureR' family of packages.
Author: Hong Ooi [aut, cre], Microsoft [cph]
Maintainer: Hong Ooi <hongooi73@gmail.com>

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Package Rsymphony updated to version 0.1-31 with previous version 0.1-30 dated 2021-03-20

Title: SYMPHONY in R
Description: An R interface to the SYMPHONY solver for mixed-integer linear programs.
Author: Reinhard Harter [aut], Kurt Hornik [aut, cre] (<https://orcid.org/0000-0003-4198-9911>), Stefan Theussl [aut], Cyrille Szymanski [ctb], Florian Schwendinger [ctb]
Maintainer: Kurt Hornik <Kurt.Hornik@R-project.org>

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Package precrec updated to version 0.12.5 with previous version 0.12.1 dated 2021-02-02

Title: Calculate Accurate Precision-Recall and ROC (Receiver Operator Characteristics) Curves
Description: Accurate calculations and visualization of precision-recall and ROC (Receiver Operator Characteristics) curves.
Author: Takaya Saito [aut, cre], Marc Rehmsmeier [aut]
Maintainer: Takaya Saito <takaya.saito@outlook.com>

Diff between precrec versions 0.12.1 dated 2021-02-02 and 0.12.5 dated 2021-04-06

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Package MDMAPR updated to version 0.2.2 with previous version 0.2.1 dated 2021-03-30

Title: Molecular Detection Mapping and Analysis Platform
Description: Runs a Shiny web application that merges raw 'qPCR' fluorescence data with related metadata to visualize species presence/absence detection patterns and assess data quality. The application calculates threshold values from raw fluorescence data using a method based on the second derivative method, Luu-The et al (2005) <doi:10.2144/05382RR05>, and utilizes the ‘chipPCR’ package by Rödiger, Burdukiewicz, & Schierack (2015) <doi:10.1093/bioinformatics/btv205> to calculate Cq values. The application has the ability to connect to a custom developed MySQL database to populate the applications interface. The application allows users to interact with visualizations such as a dynamic map, amplification curves and standard curves, that allow for zooming and/or filtering. It also enables the generation of customized exportable reports based on filtered mapping data.
Author: Alka Benawra <alkabenawra@rogers.com>
Maintainer: Alka Benawra <alkabenawra@rogers.com>

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Package LexisNexisTools updated to version 0.3.4 with previous version 0.3.3 dated 2020-12-13

Title: Working with Files from 'LexisNexis'
Description: My PhD supervisor once told me that everyone doing newspaper analysis starts by writing code to read in files from the 'LexisNexis' newspaper archive (retrieved e.g., from <http://www.nexis.com/> or any of the partner sites). However, while this is a nice exercise I do recommend, not everyone has the time. This package takes files downloaded from the newspaper archive of 'LexisNexis', reads them into R and offers functions for further processing.
Author: Johannes Gruber [aut, cre]
Maintainer: Johannes Gruber <j.gruber.1@research.gla.ac.uk>

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Package geostats updated to version 1.3 with previous version 1.2 dated 2021-03-13

Title: An Introduction to Statistics for Geoscientists
Description: A collection of datasets and simplified functions for an introductory (geo)statistics module at University College London. Provides functionality for compositional, directional and spatial data, including ternary diagrams, Wulff and Schmidt stereonets, and ordinary kriging interpolation. Implements logistic and (additive and centred) logratio transformations. Computes vector averages and concentration parameters for the von-Mises distribution. Includes a collection of natural and synthetic fractals, and a simulator for deterministic chaos using a magnetic pendulum example. The main purpose of these functions is pedagogical. Researchers can find more complete alternatives for these tools in other packages such as 'compositions', 'robCompositions', 'sp', 'gstat' and 'RFOC'. All the functions are written in plain R, with no compiled code and a minimal number of dependencies. Theoretical background and worked examples are available at <https://tinyurl.com/UCLgeostats/>.
Author: Pieter Vermeesch [aut, cre]
Maintainer: Pieter Vermeesch <p.vermeesch@ucl.ac.uk>

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Package phangorn updated to version 2.6.3 with previous version 2.6.2 dated 2021-03-22

Title: Phylogenetic Reconstruction and Analysis
Description: Allows for estimation of phylogenetic trees and networks using Maximum Likelihood, Maximum Parsimony, distance methods and Hadamard conjugation. Offers methods for tree comparison, model selection and visualization of phylogenetic networks as described in Schliep et al. (2017) <doi:10.1111/2041-210X.12760>.
Author: Klaus Schliep [aut, cre] (<https://orcid.org/0000-0003-2941-0161>), Emmanuel Paradis [aut] (<https://orcid.org/0000-0003-3092-2199>), Leonardo de Oliveira Martins [aut] (<https://orcid.org/0000-0001-5247-1320>), Alastair Potts [aut], Tim W. White [aut], Cyrill Stachniss [ctb], Michelle Kendall [ctb], Keren Halabi [ctb], Richel Bilderbeek [ctb], Kristin Winchell [ctb], Liam Revell [ctb], Mike Gilchrist [ctb], Jeremy Beaulieu [ctb], Brian O'Meara [ctb], Long Qu [ctb]
Maintainer: Klaus Schliep <klaus.schliep@gmail.com>

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Package dbplyr updated to version 2.1.1 with previous version 2.1.0 dated 2021-02-03

Title: A 'dplyr' Back End for Databases
Description: A 'dplyr' back end for databases that allows you to work with remote database tables as if they are in-memory data frames. Basic features works with any database that has a 'DBI' back end; more advanced features require 'SQL' translation to be provided by the package author.
Author: Hadley Wickham [aut, cre], Maximilian Girlich [aut], Edgar Ruiz [aut], RStudio [cph, fnd]
Maintainer: Hadley Wickham <hadley@rstudio.com>

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Package AdvancedBasketballStats updated to version 1.0.1 with previous version 1.0.0 dated 2021-02-16

Title: Advanced Basketball Statistics
Description: Provides different functionalities and calculations used in the world of basketball to analyze the statistics of the players, the statistics of the teams, the statistics of the quintets and the statistics of the plays. For more details of the calculations included in the package can be found in the book Basketball on Paper written by Dean Oliver.
Author: Francisco Javier Cantero [aut, cre], Juan Jose Cuadrado [aut], Universidad de Alcala de Henares [aut]
Maintainer: Francisco Javier Cantero <fco.cantero@edu.uah.es>

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Package UniprotR updated to version 2.0.6 with previous version 2.0.5 dated 2021-03-09

Title: Retrieving Information of Proteins from Uniprot
Description: Connect to Uniprot <https://www.uniprot.org/> to retrieve information about proteins using their accession number such information could be name or taxonomy information, For detailed information kindly read the publication <https://www.sciencedirect.com/science/article/pii/S1874391919303859>.
Author: Mohamed Soudy [aut, cre], Ali Mostafa [aut]
Maintainer: Mohamed Soudy <MohmedSoudy2009@gmail.com>

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Package RcmdrPlugin.RiskDemo updated to version 3.0 with previous version 2.0 dated 2018-10-03

Title: R Commander Plug-in for Risk Demonstration
Description: R Commander plug-in to demonstrate various actuarial and financial risks. It includes valuation of bonds and stocks, portfolio optimization, classical ruin theory, demography and epidemic.
Author: Arto Luoma
Maintainer: Arto Luoma <arto.luoma@wippies.com>

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New package lehdr with initial version 0.2.4
Package: lehdr
Title: Grab Longitudinal Employer-Household Dynamics (LEHD) Flat Files
Version: 0.2.4
Authors@R: c(person("Jamaal", "Green", role = c("cre","aut"), email="jamaal.green@gmail.com"), person("Liming", "Wang", role =c("aut"), email="lmwang@pdx.edu"), person("Dillon", "Mahmoudi", role =c("aut"), email="dillonm@umbc.edu"))
Maintainer: Jamaal Green <jamaal.green@gmail.com>
Description: Designed to query Longitudinal Employer-Household Dynamics (LEHD) workplace/residential association and origin-destination flat files and optionally aggregate Census block-level data to block group, tract, county, or state. Data comes from the LODES FTP server <https://lehd.ces.census.gov/data/lodes/LODES7/>.
Depends: R (>= 3.3.0)
License: MIT + file LICENSE
Encoding: UTF-8
Imports: readr, rlang, stringr, glue, httr, dplyr, rappdirs
Suggests: testthat, knitr, rmarkdown, devtools, pacman
VignetteBuilder: knitr
URL: https://github.com/jamgreen/lehdr/
BugReports: https://github.com/jamgreen/lehdr/issues/
NeedsCompilation: no
Packaged: 2021-04-04 16:32:54 UTC; jamaalg
Author: Jamaal Green [cre, aut], Liming Wang [aut], Dillon Mahmoudi [aut]
Repository: CRAN
Date/Publication: 2021-04-06 09:20:02 UTC

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New package vannstats with initial version 1.0.3.27
Package: vannstats
Title: Simplified Statistics for Vann PA 606
Version: 1.0.3.27
Description: Simplifies functions assess normality for bivariate and multivariate statistical techniques, including hst(), box(), and qq(). Plots designed to replicate those that would result from similar calls in 'SPSS'.
Depends: R (>= 3.2.3)
Imports: MASS, dplyr, ggplot2, rlang, tidyverse, car, purrr, stats, graphics
License: GPL-3
LazyData: true
NeedsCompilation: no
Author: Burrel Vann Jr [aut, cre]
Maintainer: Burrel Vann Jr <bvannjr@sdsu.edu>
Packaged: 2021-04-04 01:27:26 UTC; burrelvannjr
Repository: CRAN
Date/Publication: 2021-04-06 08:50:02 UTC

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Package valueEQ5D updated to version 0.7.1 with previous version 0.6.1 dated 2020-11-03

Title: Scoring the EQ-5D Descriptive System
Description: EQ-5D is a standard instrument (<https://euroqol.org/eq-5d-instruments/>) that measures the quality of life often used in clinical and economic evaluations of health care technologies. Both adult versions of EQ-5D (EQ-5D-3L and EQ-5D-5L) contain a descriptive system and visual analog scale. The descriptive system measures the patient's health in 5 dimensions: the 5L versions has 5 levels and 3L version has 3 levels. The descriptive system scores are usually converted to index values using country specific values sets (that incorporates the country preferences). This package allows the calculation of both descriptive system scores to the index value scores. The value sets for EQ-5D-3L are from the references mentioned in the website <https://euroqol.org/eq-5d-instruments/eq-5d-3l-about/valuation/> The value sets for EQ-5D-3L for a total of 31 countries are used for the valuation (see the user guide for a complete list of references). The value sets for EQ-5D-5L are obtained from references mentioned in the <https://euroqol.org/eq-5d-instruments/eq-5d-5l-about/valuation-standard-value-sets/> and other sources. The value sets for EQ-5D-5L for a total of 17 countries are used for the valuation (see the user guide for a complete list of references). The package can also be used to map 5L scores to 3L index values for 10 countries: Denmark, France, Germany, Japan, Netherlands, Spain, Thailand, UK, USA, and Zimbabwe. The value set and method for mapping are obtained from Van Hout et al (2012) <doi: 10.1016/j.jval.2012.02.008>.
Author: Sheeja Manchira Krishnan [aut, cre]
Maintainer: Sheeja Manchira Krishnan <sheejamk@gmail.com>

Diff between valueEQ5D versions 0.6.1 dated 2020-11-03 and 0.7.1 dated 2021-04-06

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 R/eq5d.R                       |    6 
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 17 files changed, 182 insertions(+), 376 deletions(-)

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New package surf with initial version 1.0.0
Package: surf
Title: Survey-Based Gross Flows Estimation
Version: 1.0.0
Author: Guilherme Jacob
Date: 2021-04-02
Maintainer: Guilherme Jacob <guilhermejacob91@gmail.com>
Description: Estimation of gross flows under non-response and complex sampling designs, using Gutiérrez, Nascimento Silva and Trujillo (2014) <https://www150.statcan.gc.ca/n1/pub/12-001-x/2014002/article/14113-eng.pdf> complex sampling extension of the non-response model developed by Stasny (1987) <https://www.scb.se/contentassets/ca21efb41fee47d293bbee5bf7be7fb3/some-markov-chain-models-for-nonresponse-in-estimating-gross-labor-force-flows.pdf>. It estimates the gross flows process under non-response by modelling the observable cross-tabulation counts as a two-stage Markov Chain process, combining (1) the unobservable Markov Chain describing the transition of states; and (2) the non-response process, given by the initial response probabilities and the response/non-response transition probabilities.
BugReports: https://github.com/guilhermejacob/surf
Depends: R (>= 3.5.0), stats, Matrix
Imports: numDeriv, survey, MASS, abind
License: GPL-3
LazyData: true
Suggests: testthat, sampling, rmarkdown, knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2021-04-02 22:41:17 UTC; guilherme
Repository: CRAN
Date/Publication: 2021-04-06 08:10:03 UTC

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New package readsparse with initial version 0.1.1-2
Package: readsparse
Title: Read and Write Sparse Matrices in 'SVMLight' and 'LibSVM' Formats
Version: 0.1.1-2
Date: 2021-04-02
Author: David Cortes
Maintainer: David Cortes <david.cortes.rivera@gmail.com>
URL: https://github.com/david-cortes/readsparse
BugReports: https://github.com/david-cortes/readsparse/issues
Description: Read and write labelled sparse matrices in text format as used by software such as 'SVMLight', 'LibSVM', 'ThunderSVM', 'LibFM', 'xLearn', 'XGBoost', 'LightGBM', and others. Supports labelled data for regression, classification (binary, multi-class, multi-label), and ranking (with 'qid' field), and can handle header metadata and comments in files.
License: BSD_2_clause + file LICENSE
Imports: Rcpp (>= 1.0.5), Matrix, methods
Suggests: testthat
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2021-04-02 23:03:09 UTC; david
Repository: CRAN
Date/Publication: 2021-04-06 08:20:02 UTC

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New package MultBiplotR with initial version 1.3.30
Package: MultBiplotR
Title: Multivariate Analysis Using Biplots in R
Version: 1.3.30
Date: 2021-03-30
Author: Jose Luis Vicente-Villardon
Maintainer: Jose Luis Vicente-Villardon <villardon@usal.es>
Description: Several multivariate techniques from a biplot perspective. It is the translation (with many improvements) into R of the previous package developed in 'Matlab'. The package contains some of the main developments of my team during the last 30 years together with some more standard techniques. Package includes: Classical Biplots, HJ-Biplot, Canonical Biplots, MANOVA Biplots, Correspondence Analysis, Canonical Correspondence Analysis, Canonical STATIS-ACT, Logistic Biplots for binary and ordinal data, Multidimensional Unfolding, External Biplots for Principal Coordinates Analysis or Multidimensional Scaling, among many others. References can be found in the help of each procedure.
License: GPL (>= 2)
Encoding: UTF-8
Repository: CRAN
Depends: R (>= 4.0.0)
Suggests:
Imports: MASS, scales, geometry, deldir, mirt, GPArotation, optimr, Hmisc, car, dunn.test, gplots, lattice, polycor, dae, rgl, xtable, mvtnorm
LazyData: yes
Archs: i386, x64
NeedsCompilation: no
Packaged: 2021-04-03 15:31:13 UTC; villardon
Date/Publication: 2021-04-06 08:50:09 UTC

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Package IsoplotRgui updated to version 3.8 with previous version 3.7 dated 2021-03-15

Title: Web Interface to 'IsoplotR'
Description: Provides a graphical user interface to the 'IsoplotR' package for radiometric geochronology. The GUI runs in an internet browser and can either be used offline, or hosted on a server to provide online access to the 'IsoplotR' toolbox.
Author: Pieter Vermeesch [aut, cre], Tim Band [ctb]
Maintainer: Pieter Vermeesch <p.vermeesch@ucl.ac.uk>

Diff between IsoplotRgui versions 3.7 dated 2021-03-15 and 3.8 dated 2021-04-06

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 50 files changed, 796 insertions(+), 463 deletions(-)

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New package gwpcormapper with initial version 0.1.2
Package: gwpcormapper
Title: Geographically Weighted Partial Correlation Mapper
Version: 0.1.2
Authors@R: c(person(given = "Joseph Emile Honour", family = "Percival", role = c("aut", "cre"), email = "ipercival@gmail.com", comment = c(ORCID = "0000-0001-5941-4601")), person(given = "Narumasa", family = "Tsutsumida", role = "aut", email = "rsnaru.jp@gmail.com", comment = c(ORCID = "0000-0002-6333-0301")))
Description: An interactive mapping tool for geographically weighted correlation and partial correlation. Geographically weighted partial correlation coefficients are calculated following (Percival and Tsutsumida, 2017)<doi:10.1553/giscience2017_01_s36> and are described in greater detail in (Tsutsumida et al., 2019)<doi:10.5194/ica-abs-1-372-2019> and (Percival et al., 2021)<arXiv:2101.03491>.
License: GPL-3
Imports: config, golem, shiny, processx, attempt, DT, glue, htmltools, shinydashboard, sf, dplyr, geodist, plotly, crosstalk, viridis, leaflet, tools, shinyjs, Rcpp, corpcor, pkgload, methods
LinkingTo: Rcpp
Encoding: UTF-8
LazyData: true
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
URL: https://github.com/gwpcor/gwpcormapper
BugReports: https://github.com/gwpcor/gwpcormapper/issues
Depends: R (>= 2.10)
NeedsCompilation: yes
Packaged: 2021-04-01 23:47:51 UTC; iosefa
Author: Joseph Emile Honour Percival [aut, cre] (<https://orcid.org/0000-0001-5941-4601>), Narumasa Tsutsumida [aut] (<https://orcid.org/0000-0002-6333-0301>)
Maintainer: Joseph Emile Honour Percival <ipercival@gmail.com>
Repository: CRAN
Date/Publication: 2021-04-06 08:10:06 UTC

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New package gtfsio with initial version 0.1.0
Package: gtfsio
Title: Read and Write General Transit Feed Specification (GTFS) Files
Version: 0.1.0
Authors@R: c(person(given = "Daniel", family = "Herszenhut", role = c("aut", "cre"), email = "dhersz@gmail.com", comment = c(ORCID = "0000-0001-8066-1105")), person(given = "Flavio", family = "Poletti", role = "ctb", email = "flavio.poletti@hotmail.ch"), person(given = "Mark", family = "Padgham", role = "ctb", email = "mark.padgham@email.com"), person(given = "Rafael H. M.", family = "Pereira", role = "ctb", email = "rafa.pereira.br@gmail.com", comment = c(ORCID = "0000-0003-2125-7465")), person(given = "Tom", family = "Buckley", role = "ctb", email = "tom@tbuckl.com"), person(given = "Ipea - Institute for Applied Economic Research", role = c("cph", "fnd")))
Description: Tools for the development of packages related to General Transit Feed Specification (GTFS) files. Establishes a standard for representing GTFS feeds using R data types. Provides fast and flexible functions to read and write GTFS feeds while sticking to this standard. Defines a basic 'gtfs' class which is meant to be extended by packages that depend on it. And offers utility functions that support checking the structure of GTFS objects.
License: MIT + file LICENSE
URL: https://r-transit.github.io/gtfsio/, https://github.com/r-transit/gtfsio
BugReports: https://github.com/r-transit/gtfsio/issues
Imports: data.table, utils, zip
Suggests: knitr, rmarkdown, tinytest
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2021-04-04 00:06:08 UTC; dhersz
Author: Daniel Herszenhut [aut, cre] (<https://orcid.org/0000-0001-8066-1105>), Flavio Poletti [ctb], Mark Padgham [ctb], Rafael H. M. Pereira [ctb] (<https://orcid.org/0000-0003-2125-7465>), Tom Buckley [ctb], Ipea - Institute for Applied Economic Research [cph, fnd]
Maintainer: Daniel Herszenhut <dhersz@gmail.com>
Repository: CRAN
Date/Publication: 2021-04-06 08:50:05 UTC

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New package GetFREData with initial version 0.6
Package: GetFREData
Title: Reading FRE Corporate Data of Public Traded Companies from B3
Version: 0.6
Date: 2021-04-03
Authors@R: c(person("Marcelo", "Perlin", email = "marceloperlin@gmail.com", role = c("aut", "cre")), person("Guilherme", "Kirch", email = "guilhermekirch@gmail.com", role = c("aut")))
Description: Reads corporate data such as board composition and compensation for companies traded at B3, the Brazilian exchange <http://www.b3.com.br/>. All data is downloaded and imported from the ftp site <http://dados.cvm.gov.br/dados/CIA_ABERTA/DOC/FRE/>.
Depends: R (>= 3.5.0)
Imports: stringr, xml2, dplyr, readr, curl, lubridate, magrittr, purrr, memoise, rvest, tidyr, XML
ByteCompile: true
License: GPL-2
BugReports: https://github.com/msperlin/GetFREData/issues
URL: https://github.com/msperlin/GetFREData/
LazyData: false
Suggests: knitr, rmarkdown, testthat, ggplot2
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-04-03 20:06:33 UTC; msperlin
Author: Marcelo Perlin [aut, cre], Guilherme Kirch [aut]
Maintainer: Marcelo Perlin <marceloperlin@gmail.com>
Repository: CRAN
Date/Publication: 2021-04-06 08:50:16 UTC

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New package gamlss.lasso with initial version 1.0-0
Package: gamlss.lasso
Description: Interface for extra high-dimensional smooth functions for Generalized Additive Models for Location Scale and Shape (GAMLSS) including lasso, ridge, elastic net and least angle regression.
Title: Extra Lasso-Type Additive Terms for GAMLSS
LazyLoad: yes
Version: 1.0-0
Date: 2021-04-01
Depends: R (>= 2.15.0), gamlss (>= 2.4.0), glmnet, lars, Matrix
Suggests: lattice
Authors@R: c(person("Florian", "Ziel", role = c("aut", "cre"), email = "florian.ziel@uni-due.de"), person("Peru", "Muniain", role = "aut"), person("Mikis", "Stasinopoulos", role = "ctb"))
Maintainer: Florian Ziel <florian.ziel@uni-due.de>
License: GPL-2 | GPL-3
URL: https://www.gamlss.com/
NeedsCompilation: no
Packaged: 2021-04-02 22:44:13 UTC; florian
Repository: CRAN
Date/Publication: 2021-04-06 08:20:05 UTC
Author: Florian Ziel [aut, cre], Peru Muniain [aut], Mikis Stasinopoulos [ctb]

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New package galah with initial version 1.0.0
Package: galah
Title: Atlas of Living Australia (ALA) Data and Resources in R
Version: 1.0.0
Authors@R: c(person("Matilda", "Stevenson", email="matilda.stevenson@csiro.au",role=c("aut","cre")), person("Martin", "Westgate", email="martin.westgate@csiro.au", role="aut"), person("Peggy", "Newman", email="peggy.newman@csiro.au", role="aut"))
Description: The Atlas of Living Australia ('ALA') provides tools to enable users of biodiversity information to find, access, combine and visualise data on Australian plants and animals; these have been made available from <https://ala.org.au/>. 'galah' provides a subset of the tools to be directly used within R. It enables the R community to directly access data and resources hosted by the 'ALA'.
Imports: assertthat, crul, data.table, digest, httr, jsonlite (>= 0.9.8), sf, sp, stringr (>= 1.0.0), utils, wellknown
Suggests: covr, dplyr, ggplot2, knitr, ozmaps, pkgdown, rmarkdown, testthat
License: MPL-2.0
URL: https://github.com/AtlasOfLivingAustralia/galah
BugReports: https://github.com/AtlasOfLivingAustralia/galah/issues
Maintainer: Matilda Stevenson <matilda.stevenson@csiro.au>
LazyLoad: yes
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2021-04-03 06:10:14 UTC; ste748
Author: Matilda Stevenson [aut, cre], Martin Westgate [aut], Peggy Newman [aut]
Repository: CRAN
Date/Publication: 2021-04-06 08:30:02 UTC

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New package wpa with initial version 1.4.3
Package: wpa
Title: Tools for Analysing and Visualising Workplace Analytics Data
Version: 1.4.3
Authors@R: c( person(given = "Martin", family = "Chan", role = c("aut", "cre"), email = "martin.chan@microsoft.com"), person(given = "Carlos", family = "Morales", role = "aut", email = "carlos.morales@microsoft.com"), person(given = "Mark", family = "Powers", role = "ctb", email = "mark.powers@microsoft.com"), person(given = "Ainize", family = "Cidoncha", role = "ctb", email = "ainize.cidoncha@microsoft.com"), person(given = "Rosamary", family = "Ochoa Vargas", role = "ctb", email = "rosamary.ochoa@microsoft.com"), person(given = "Tannaz", family = "Sattari", role = "ctb", email = "tannaz.sattari@microsoft.com"), person(given = "Lucas", family = "Hogner", role = "ctb", email = "lucas.hogner@microsoft.com"), person(given = "Jasminder", family = "Thind", role = "ctb", email = "jasminder.thind@microsoft.com"), person(given = "Simone", family = "Liebal", role = "ctb", email = "simone.liebal@microsoft.com"), person(given = "Ellen", family = "Trinklein", role = "ctb"), person(given = "Microsoft Corporation", role = "cph") )
Description: Opinionated functions that enable easier and faster analysis of Workplace Analytics data. There are three main types of functions in 'wpa': (i) Standard functions create a 'ggplot' visual or a summary table based on a specific Workplace Analytics metric; (2) Report Generation functions generate HTML reports on a specific analysis area, e.g. Collaboration; (3) Other miscellaneous functions cover more specific applications (e.g. Subject Line text mining) of Workplace Analytics data. This package adheres to 'tidyverse' principles and works well with the pipe syntax. 'wpa' is built with the beginner-to-intermediate R users in mind, and is optimised for simplicity.
URL: https://github.com/microsoft/wpa/
BugReports: https://github.com/microsoft/wpa/issues/
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.1.2)
Imports: dplyr, stats, utils, tidyr, tidyselect (>= 1.0.0), magrittr, purrr, reshape2, ggplot2, ggrepel, scales, htmltools, markdown, rmarkdown, networkD3, DT, tidytext, ggraph, igraph, proxy, ggwordcloud, methods, data.table
VignetteBuilder: knitr
Suggests: knitr, extrafont, leiden, lifecycle, fst, glue
Language: en-US
NeedsCompilation: no
Packaged: 2021-04-02 12:10:03 UTC; martinchan
Author: Martin Chan [aut, cre], Carlos Morales [aut], Mark Powers [ctb], Ainize Cidoncha [ctb], Rosamary Ochoa Vargas [ctb], Tannaz Sattari [ctb], Lucas Hogner [ctb], Jasminder Thind [ctb], Simone Liebal [ctb], Ellen Trinklein [ctb], Microsoft Corporation [cph]
Maintainer: Martin Chan <martin.chan@microsoft.com>
Repository: CRAN
Date/Publication: 2021-04-06 07:50:03 UTC

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New package survivoR with initial version 0.9.2
Package: survivoR
Title: Data from all Seasons of Survivor (US) TV Series in Tidy Format
Version: 0.9.2
Authors@R: person(given = "Daniel", family = "Oehm", role = c("aut", "cre"), email = "danieloehm@gmail.com")
Description: Several datasets which detail the results and events of each season of Survivor. This includes details on the cast, voting history, immunity and reward challenges, jury votes and viewers. This data is useful for practicing data wrangling, graph analytics and analysing how each season of Survivor played out. Includes 'ggplot2' scales and colour palettes for visualisation.
Depends: R (>= 3.5.0)
Imports: dplyr, tidyr, ggplot2, stringr, magrittr, forcats, glue
License: MIT + file LICENSE
URL: https://github.com/doehm/survivoR
BugReports: https://github.com/doehm/survivoR/issues
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2021-04-02 02:03:26 UTC; Dan
Author: Daniel Oehm [aut, cre]
Maintainer: Daniel Oehm <danieloehm@gmail.com>
Repository: CRAN
Date/Publication: 2021-04-06 07:10:02 UTC

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New package selection.index with initial version 1.0.0
Package: selection.index
Title: Analysis of Selection Index in Plant Breeding
Version: 1.0.0
Authors@R: c(person(given = "Zankrut", family = "Goyani", role = c("aut", "cre", "cph"), email = "zankrut20@gmail.com"), person(given = "Alok", family = "Shrivastva", role = "aut", email = "igkvalok@gmail.com"), person(given = "Yogesh", family = "Garde", role = "aut", email = "y.garde@yahoo.co.in"), person(given = "Arvind", family = "Chaudhary", role = "aut", email = "apchaudhary@nau.in"))
Maintainer: Zankrut Goyani <zankrut20@gmail.com>
Description: The aim of most plant breeding programmes is simultaneous improvement of several characters. An objective method involving simultaneous selection for several attributes then becomes necessary. It has been recognised that most rapid improvements in the economic value is expected from selection applied simultaneously to all the characters which determine the economic value of a plant, and appropriate assigned weights to each character according to their economic importance, heritability and correlations between characters. So the selection for economic value is a complex matter. If the component characters are combined together into an index in such a way that when selection is applied to the index, as if index is the character to be improved, most rapid improvement of economic value is expected. Such an index was first proposed by Smith (1937 <doi:10.1111/j.1469-1809.1936.tb02143.x>) based on the Fisher's (1936 <doi:10.1111/j.1469-1809.1936.tb02137.x>) "discriminant function" Dabholkar (1999 <https://books.google.co.in/books?id=mlFtumAXQ0oC&lpg=PA4&ots=Xgxp1qLuxS&dq=elements%20of%20biometrical%20genetics&lr&pg=PP1#v=onepage&q&f=false>). In this package selection index is calculated based on the Smith (1937) selection index method.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10)
Imports: stats
URL: https://github.com/zankrut20/selection.index
BugReports: https://github.com/zankrut20/selection.index/issues
Suggests: rmarkdown, knitr, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-04-02 16:29:12 UTC; zankr
Author: Zankrut Goyani [aut, cre, cph], Alok Shrivastva [aut], Yogesh Garde [aut], Arvind Chaudhary [aut]
Repository: CRAN
Date/Publication: 2021-04-06 08:00:03 UTC

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Package rbibutils updated to version 2.1 with previous version 2.0 dated 2020-11-18

Title: Convert Between Bibliography Formats
Description: Converts between a number of bibliography formats, including 'BibTeX', 'BibLaTeX' and 'Bibentry'. Includes a port of the 'bibutils' utilities by Chris Putnam <https://sourceforge.net/projects/bibutils/>. Supports all bibliography formats and character encodings implemented in 'bibutils'.
Author: Georgi N. Boshnakov [aut, cre] (R port, modifications to bibutils' C code), Chris Putman [aut] (src/*, author of the bibutils libraries, https://sourceforge.net/projects/bibutils/), Richard Mathar [ctb] (src/addsout.c), Johannes Wilm [ctb] (src/biblatexin.c, src/bltypes.c)
Maintainer: Georgi N. Boshnakov <georgi.boshnakov@manchester.ac.uk>

Diff between rbibutils versions 2.0 dated 2020-11-18 and 2.1 dated 2021-04-06

 DESCRIPTION                          |    9 +-
 MD5                                  |   53 ++++++++------
 NEWS.md                              |   24 ++++++
 R/bib.R                              |   49 ++++++++++---
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 R/import.R                           |only
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Package quanteda.textstats updated to version 0.94 with previous version 0.93 dated 2021-03-15

Title: Textual Statistics for the Quantitative Analysis of Textual Data
Description: Textual statistics functions formerly in the 'quanteda' package. Textual statistics for characterizing and comparing textual data. Includes functions for measuring term and document frequency, the co-occurrence of words, similarity and distance between features and documents, feature entropy, keyword occurrence, readability, and lexical diversity. These functions extend the 'quanteda' package and are specially designed for sparse textual data.
Author: Kenneth Benoit [cre, aut, cph] (<https://orcid.org/0000-0002-0797-564X>), Kohei Watanabe [aut] (<https://orcid.org/0000-0001-6519-5265>), Haiyan Wang [aut] (<https://orcid.org/0000-0003-4992-4311>), Jiong Wei Lua [aut], Jouni Kuha [aut] (<https://orcid.org/0000-0002-1156-8465>), European Research Council [fnd] (ERC-2011-StG 283794-QUANTESS)
Maintainer: Kenneth Benoit <kbenoit@lse.ac.uk>

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Package quanteda.textplots updated to version 0.94 with previous version 0.92 dated 2021-02-18

Title: Plots for the Quantitative Analysis of Textual Data
Description: Plotting functions for visualising textual data. Extends 'quanteda' and related packages with plot methods designed specifically for text data, textual statistics, and models fit to textual data. Plot types include word clouds, lexical dispersion plots, scaling plots, network visualisations, and word 'keyness' plots.
Author: Kenneth Benoit [cre, aut, cph] (<https://orcid.org/0000-0002-0797-564X>), Kohei Watanabe [aut] (<https://orcid.org/0000-0001-6519-5265>), Haiyan Wang [aut] (<https://orcid.org/0000-0003-4992-4311>), Adam Obeng [aut] (<https://orcid.org/0000-0002-2906-4775>), Stefan Müller [aut] (<https://orcid.org/0000-0002-6315-4125>), Akitaka Matsuo [aut] (<https://orcid.org/0000-0002-3323-6330>), Ian Fellows [cph] (authored wordcloud C source code (modified)), European Research Council [fnd] (ERC-2011-StG 283794-QUANTESS)
Maintainer: Kenneth Benoit <kbenoit@lse.ac.uk>

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Package quanteda.textmodels updated to version 0.9.4 with previous version 0.9.3 dated 2021-03-07

Title: Scaling Models and Classifiers for Textual Data
Description: Scaling models and classifiers for sparse matrix objects representing textual data in the form of a document-feature matrix. Includes original implementations of 'Laver', 'Benoit', and Garry's (2003) <doi:10.1017/S0003055403000698>, 'Wordscores' model, Perry and 'Benoit's' (2017) <arXiv:1710.08963> class affinity scaling model, and 'Slapin' and 'Proksch's' (2008) <doi:10.1111/j.1540-5907.2008.00338.x> 'wordfish' model, as well as methods for correspondence analysis, latent semantic analysis, and fast Naive Bayes and linear 'SVMs' specially designed for sparse textual data.
Author: Kenneth Benoit [cre, aut, cph] (<https://orcid.org/0000-0002-0797-564X>), Kohei Watanabe [aut] (<https://orcid.org/0000-0001-6519-5265>), Haiyan Wang [aut] (<https://orcid.org/0000-0003-4992-4311>), Patrick O. Perry [aut] (<https://orcid.org/0000-0001-7460-127X>), Benjamin Lauderdale [aut] (<https://orcid.org/0000-0003-3090-0969>), Johannes Gruber [aut] (<https://orcid.org/0000-0001-9177-1772>), William Lowe [aut] (<https://orcid.org/0000-0002-1549-6163>), Vikas Sindhwani [cph] (authored svmlin C++ source code), European Research Council [fnd] (ERC-2011-StG 283794-QUANTESS)
Maintainer: Kenneth Benoit <kbenoit@lse.ac.uk>

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Package quanteda updated to version 3.0.0 with previous version 2.1.2 dated 2020-09-23

Title: Quantitative Analysis of Textual Data
Description: A fast, flexible, and comprehensive framework for quantitative text analysis in R. Provides functionality for corpus management, creating and manipulating tokens and ngrams, exploring keywords in context, forming and manipulating sparse matrices of documents by features and feature co-occurrences, analyzing keywords, computing feature similarities and distances, applying content dictionaries, applying supervised and unsupervised machine learning, visually representing text and text analyses, and more.
Author: Kenneth Benoit [cre, aut, cph] (<https://orcid.org/0000-0002-0797-564X>), Kohei Watanabe [aut] (<https://orcid.org/0000-0001-6519-5265>), Haiyan Wang [aut] (<https://orcid.org/0000-0003-4992-4311>), Paul Nulty [aut] (<https://orcid.org/0000-0002-7214-4666>), Adam Obeng [aut] (<https://orcid.org/0000-0002-2906-4775>), Stefan Müller [aut] (<https://orcid.org/0000-0002-6315-4125>), Akitaka Matsuo [aut] (<https://orcid.org/0000-0002-3323-6330>), William Lowe [aut] (<https://orcid.org/0000-0002-1549-6163>), Christian Müller [ctb], European Research Council [fnd] (ERC-2011-StG 283794-QUANTESS)
Maintainer: Kenneth Benoit <kbenoit@lse.ac.uk>

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Package poismf updated to version 0.3.0 with previous version 0.2.7 dated 2021-01-08

Title: Factorization of Sparse Counts Matrices Through Poisson Likelihood
Description: Creates a low-rank factorization of a sparse counts matrix by maximizing Poisson likelihood with l1/l2 regularization with all non-negative latent factors (e.g. for recommender systems or topic modeling) (Cortes, (2018) <arXiv:1811.01908>). Similar to hierarchical Poisson factorization, but follows an optimization-based approach with regularization instead of a hierarchical structure, and is fit through gradient-based methods instead of variational inference.
Author: David Cortes [aut, cre, cph], Jean-Sebastien Roy [cph], Stephen Nash [cph]
Maintainer: David Cortes <david.cortes.rivera@gmail.com>

Diff between poismf versions 0.2.7 dated 2021-01-08 and 0.3.0 dated 2021-04-06

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Package packageRank updated to version 0.4.1 with previous version 0.4.0 dated 2021-03-01

Title: Computation and Visualization of Package Download Counts and Percentiles
Description: Compute and visualize the cross-sectional and longitudinal number and rank percentile of package downloads from RStudio's CRAN mirror.
Author: Peter Li [aut, cre]
Maintainer: Peter Li <lindbrook@gmail.com>

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New package multiridge with initial version 1.5
Package: multiridge
Title: Fast Cross-Validation for Multi-Penalty Ridge Regression
Version: 1.5
Date: 2021-04-02
Author: Mark A. van de Wiel
Maintainer: Mark A. van de Wiel <mark.vdwiel@amsterdamumc.nl>
Depends: R (>= 3.5.0), survival, pROC, risksetROC, mgcv, snowfall
Description: Multi-penalty linear, logistic and cox ridge regression, including estimation of the penalty parameters by efficient (repeated) cross-validation and marginal likelihood maximization. Multiple high-dimensional data types that require penalization are allowed, as well as unpenalized variables. Paired and preferential data types can be specified. See Van de Wiel et al. (2021), <arXiv:2005.09301>.
License: GPL (>= 3)
NeedsCompilation: no
Packaged: 2021-04-02 07:17:48 UTC; VNOB-0735
Repository: CRAN
Date/Publication: 2021-04-06 07:50:17 UTC

More information about multiridge at CRAN
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New package MultiHorizonSPA with initial version 1.0.0
Package: MultiHorizonSPA
Title: Multi Horizon Superior Predictive Ability
Version: 1.0.0
Authors@R: c(person("Luca", "Barbaglia", email = "luc.barbaglia@gmail.com", role = c("cre", "aut")))
Maintainer: Luca Barbaglia <luc.barbaglia@gmail.com>
Description: Run the Multi Horizon Superior Predictive Ability test to compare the predictive performance of two distinct models when jointly considering all horizons of a forecast path.
Depends: R (>= 3.5.0)
Imports: matlab, stats
License: GPL-3
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2021-04-02 07:30:47 UTC; barbalu
Author: Luca Barbaglia [cre, aut]
Repository: CRAN
Date/Publication: 2021-04-06 08:00:09 UTC

More information about MultiHorizonSPA at CRAN
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New package multifear with initial version 0.1.1
Package: multifear
Title: Multiverse Analyses for Conditioning Data
Version: 0.1.1
Authors@R: c(person(given = "Angelos-Miltiadis", family = "Krypotos", role = c("aut", "cre", "cph"), email = "amkrypotos@gmail.com"))
Maintainer: Angelos-Miltiadis Krypotos <amkrypotos@gmail.com>
Description: A suite of functions for performing analyses, based on a multiverse approach, for conditioning data. Specifically, given the appropriate data, the functions are able to perform t-tests, analyses of variance, and mixed models for the provided data and return summary statistics and plots. The function is also able to return for all those tests p-values, confidence intervals, and Bayes factors. The methods are described in Lonsdorf, Gerlicher, Klingelhofer-Jens, & Krypotos <doi:10.31234/osf.io/2z6pd>.
Depends: R (>= 3.6.0)
License: GPL-3
Encoding: UTF-8
LazyData: true
URL: https://github.com/AngelosPsy/multifear
BugReports: https://github.com/AngelosPsy/multifear/issues
Imports: dplyr (>= 0.8.4), purrr (>= 0.3.3), stats (>= 3.6.2), ez (>= 4.4.0), stringr (>= 1.4.0), reshape2 (>= 1.4.3), tibble (>= 2.1.3), ggplot2 (>= 3.2.1), effsize (>= 0.7.8), nlme (>= 3.1.144), BayesFactor (>= 0.9.12.4.2), bayestestR (>= 0.5.2), broom (>= 0.5.5), effectsize (>= 0.4.1), esc (>= 0.5.1), forestplot (>= 1.10), bootstrap (>= 2019.6)
Suggests: gridExtra (>= 2.3), fastDummies (>= 1.6.1), vctrs (>= 0.3.1), tidyselect (>= 1.0.0), tidyr (>= 1.0.2), plyr (>= 1.8.6), ggraph (>= 2.0.1), igraph (>= 1.2.4.2), testthat (>= 2.1.0), cowplot (>= 1.0.0), covr
NeedsCompilation: no
Packaged: 2021-04-02 10:10:49 UTC; angeloskrypotos
Author: Angelos-Miltiadis Krypotos [aut, cre, cph]
Repository: CRAN
Date/Publication: 2021-04-06 07:30:19 UTC

More information about multifear at CRAN
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Package HistDat updated to version 0.2.0 with previous version 0.1.0 dated 2021-04-02

Title: Summary Statistics for Histogram/Count Data
Description: In some cases you will have data in a histogram format, where you have a vector of all possible observations, and a vector of how many times each observation appeared. You could expand this into a single 1D vector, but this may not be advisable if the counts are extremely large. 'HistDat' allows for the calculation of summary statistics without the need for expanding your data.
Author: Michael Milton
Maintainer: Michael Milton <michael.r.milton@gmail.com>

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Package fddm updated to version 0.3-3 with previous version 0.3-1 dated 2021-03-22

Title: Fast Implementation of the Diffusion Decision Model
Description: Provides the probability density function (PDF) of the diffusion decision model (DDM; e.g., Ratcliff & McKoon, 2008, <doi:10.1162/neco.2008.12-06-420>) with across-trial variability in the drift rate. Because the PDF of the DDM contains an infinite sum, it needs to be approximated. 'fddm' implements all published approximations (Navarro & Fuss, 2009, <doi:10.1016/j.jmp.2009.02.003>; Gondan, Blurton, & Kesselmeier, 2014, <doi:10.1016/j.jmp.2014.05.002>) plus new approximations. All approximations are implemented purely in 'C++' providing faster speed than existing packages.
Author: Kendal B. Foster [aut], Henrik Singmann [ctb, cre] (<https://orcid.org/0000-0002-4842-3657>)
Maintainer: Henrik Singmann <singmann@gmail.com>

Diff between fddm versions 0.3-1 dated 2021-03-22 and 0.3-3 dated 2021-04-06

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New package fcci with initial version 1.0.0
Package: fcci
Title: Feldman-Cousins Confidence Intervals
Version: 1.0.0
Authors@R: person(given = "Valerio", family = "Gherardi", role = c("aut", "cre"), email = "vgherard@sissa.it", comment = c(ORCID = "0000-0002-8215-3013"))
Maintainer: Valerio Gherardi <vgherard@sissa.it>
Description: Provides support for building Feldman-Cousins confidence intervals [G. J. Feldman and R. D. Cousins (1998) <doi:10.1103/PhysRevD.57.3873>].
License: GPL (>= 3)
Encoding: UTF-8
LinkingTo: Rcpp
Imports: Rcpp, assertthat, rlang
SystemRequirements: C++11
URL: https://github.com/vgherard/fcci
BugReports: https://github.com/vgherard/fcci/issues
Suggests: covr, testthat (>= 3.0.0)
NeedsCompilation: yes
Packaged: 2021-04-02 14:37:06 UTC; vale
Author: Valerio Gherardi [aut, cre] (<https://orcid.org/0000-0002-8215-3013>)
Repository: CRAN
Date/Publication: 2021-04-06 07:50:20 UTC

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Package ctrdata updated to version 1.5.2 with previous version 1.5.1 dated 2021-03-21

Title: Retrieve and Analyze Clinical Trials in Public Registers
Description: Provides functions for querying, retrieving and analyzing protocol- and results-related information on clinical trials from two public registers, the 'European Union Clinical Trials Register' ('EUCTR', <https://www.clinicaltrialsregister.eu/>) and 'ClinicalTrials.gov' ('CTGOV', <https://clinicaltrials.gov/>). The trial information is transformed and stored in a database ('SQLite' or 'MongoDB', via 'nodbi'). Functions are provided to identify de- duplicated records, to easily find and extract variables (fields) of interest even from complex nesting as used by the registers, and to update previous queries that users retrieved in a database. The package can be used for meta analysis and trend-analysis of the design and conduct as well as results of clinical trials.
Author: Ralf Herold [aut, cre] (<https://orcid.org/0000-0002-8148-6748>)
Maintainer: Ralf Herold <ralf.herold@mailbox.org>

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Package BoomSpikeSlab updated to version 1.2.4 with previous version 1.2.3 dated 2020-05-01

Title: MCMC for Spike and Slab Regression
Description: Spike and slab regression with a variety of residual error distributions corresponding to Gaussian, Student T, probit, logit, SVM, and a few others. Spike and slab regression is Bayesian regression with prior distributions containing a point mass at zero. The posterior updates the amount of mass on this point, leading to a posterior distribution that is actually sparse, in the sense that if you sample from it many coefficients are actually zeros. Sampling from this posterior distribution is an elegant way to handle Bayesian variable selection and model averaging. See <DOI:10.1504/IJMMNO.2014.059942> for an explanation of the Gaussian case.
Author: Steven L. Scott <steve.the.bayesian@gmail.com>
Maintainer: Steven L. Scott <steve.the.bayesian@gmail.com>

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Package Mega2R (with last version 1.0.8) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2020-10-01 1.0.8
2020-05-19 1.0.7
2020-05-15 1.0.6
2019-02-28 1.0.5
2018-06-18 1.0.4
2018-05-22 1.0.3
2018-04-03 1.0.2
2017-11-02 1.0.0

Permanent link
Package mlquantify (with last version 0.1.4) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2020-09-23 0.1.4

Permanent link
Package readrba updated to version 0.1.1 with previous version 0.1.0 dated 2020-12-16

Title: Download and Tidy Data from the Reserve Bank of Australia
Description: Download up-to-date data from the Reserve Bank of Australia in a tidy data frame. Package includes functions to download current and historical statistical tables (<https://www.rba.gov.au/statistics/tables/>) and forecasts (<https://www.rba.gov.au/publications/smp/forecasts-archive.html>). Data includes a broad range of Australian macroeconomic and financial time series.
Author: Matt Cowgill [aut, cre] (<https://orcid.org/0000-0003-0422-3300>)
Maintainer: Matt Cowgill <mattcowgill@gmail.com>

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Mon, 05 Apr 2021

Package crunch updated to version 1.28.0 with previous version 1.27.7 dated 2021-02-02

Title: Crunch.io Data Tools
Description: The Crunch.io service <https://crunch.io/> provides a cloud-based data store and analytic engine, as well as an intuitive web interface. Using this package, analysts can interact with and manipulate Crunch datasets from within R. Importantly, this allows technical researchers to collaborate naturally with team members, managers, and clients who prefer a point-and-click interface.
Author: Greg Freedman Ellis [aut, cre], Jonathan Keane [aut], Mike Malecki [aut], Neal Richardson [aut], Gordon Shotwell [aut]
Maintainer: Greg Freedman Ellis <greg@crunch.io>

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Package clusterSEs updated to version 2.6.5 with previous version 2.6.4 dated 2021-03-05

Title: Calculate Cluster-Robust p-Values and Confidence Intervals
Description: Calculate p-values and confidence intervals using cluster-adjusted t-statistics (based on Ibragimov and Muller (2010) <DOI:10.1198/jbes.2009.08046>, pairs cluster bootstrapped t-statistics, and wild cluster bootstrapped t-statistics (the latter two techniques based on Cameron, Gelbach, and Miller (2008) <DOI:10.1162/rest.90.3.414>. Procedures are included for use with GLM, ivreg, plm (pooling or fixed effects), and mlogit models.
Author: Justin Esarey [aut, cre]
Maintainer: Justin Esarey <justin@justinesarey.com>

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More information about clusterSEs at CRAN
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Package broom updated to version 0.7.6 with previous version 0.7.5 dated 2021-02-19

Title: Convert Statistical Objects into Tidy Tibbles
Description: Summarizes key information about statistical objects in tidy tibbles. This makes it easy to report results, create plots and consistently work with large numbers of models at once. Broom provides three verbs that each provide different types of information about a model. tidy() summarizes information about model components such as coefficients of a regression. glance() reports information about an entire model, such as goodness of fit measures like AIC and BIC. augment() adds information about individual observations to a dataset, such as fitted values or influence measures.
Author: David Robinson [aut], Alex Hayes [aut, cre] (<https://orcid.org/0000-0002-4985-5160>), Simon Couch [aut], Indrajeet Patil [ctb] (<https://orcid.org/0000-0003-1995-6531>), Derek Chiu [ctb], Matthieu Gomez [ctb], Boris Demeshev [ctb], Dieter Menne [ctb], Benjamin Nutter [ctb], Luke Johnston [ctb], Ben Bolker [ctb], Francois Briatte [ctb], Jeffrey Arnold [ctb], Jonah Gabry [ctb], Luciano Selzer [ctb], Gavin Simpson [ctb], Jens Preussner [ctb], Jay Hesselberth [ctb], Hadley Wickham [ctb], Matthew Lincoln [ctb], Alessandro Gasparini [ctb], Lukasz Komsta [ctb], Frederick Novometsky [ctb], Wilson Freitas [ctb], Michelle Evans [ctb], Jason Cory Brunson [ctb], Simon Jackson [ctb], Ben Whalley [ctb], Karissa Whiting [ctb], Yves Rosseel [ctb], Michael Kuehn [ctb], Jorge Cimentada [ctb], Erle Holgersen [ctb], Karl Dunkle Werner [ctb] (<https://orcid.org/0000-0003-0523-7309>), Ethan Christensen [ctb], Steven Pav [ctb], Paul PJ [ctb], Ben Schneider [ctb], Patrick Kennedy [ctb], Lily Medina [ctb], Brian Fannin [ctb], Jason Muhlenkamp [ctb], Matt Lehman [ctb], Bill Denney [ctb] (<https://orcid.org/0000-0002-5759-428X>), Nic Crane [ctb], Andrew Bates [ctb], Vincent Arel-Bundock [ctb] (<https://orcid.org/0000-0003-2042-7063>), Hideaki Hayashi [ctb], Luis Tobalina [ctb], Annie Wang [ctb], Wei Yang Tham [ctb], Clara Wang [ctb], Abby Smith [ctb] (<https://orcid.org/0000-0002-3207-0375>), Jasper Cooper [ctb] (<https://orcid.org/0000-0002-8639-3188>), E Auden Krauska [ctb] (<https://orcid.org/0000-0002-1466-5850>), Alex Wang [ctb], Malcolm Barrett [ctb] (<https://orcid.org/0000-0003-0299-5825>), Charles Gray [ctb] (<https://orcid.org/0000-0002-9978-011X>), Jared Wilber [ctb], Vilmantas Gegzna [ctb] (<https://orcid.org/0000-0002-9500-5167>), Eduard Szoecs [ctb], Frederik Aust [ctb] (<https://orcid.org/0000-0003-4900-788X>), Angus Moore [ctb], Nick Williams [ctb], Marius Barth [ctb] (<https://orcid.org/0000-0002-3421-6665>), Bruna Wundervald [ctb] (<https://orcid.org/0000-0001-8163-220X>), Joyce Cahoon [ctb] (<https://orcid.org/0000-0001-7217-4702>), Grant McDermott [ctb] (<https://orcid.org/0000-0001-7883-8573>), Kevin Zarca [ctb], Shiro Kuriwaki [ctb] (<https://orcid.org/0000-0002-5687-2647>), Lukas Wallrich [ctb] (<https://orcid.org/0000-0003-2121-5177>), James Martherus [ctb] (<https://orcid.org/0000-0002-8285-3300>), Chuliang Xiao [ctb] (<https://orcid.org/0000-0002-8466-9398>), Joseph Larmarange [ctb], Max Kuhn [ctb], Michal Bojanowski [ctb], Hakon Malmedal [ctb], Clara Wang [ctb], Sergio Oller [ctb], Luke Sonnet [ctb], Jim Hester [ctb], Cory Brunson [ctb], Ben Schneider [ctb], Bernie Gray [ctb] (<https://orcid.org/0000-0001-9190-6032>), Mara Averick [ctb], Aaron Jacobs [ctb], Andreas Bender [ctb], Sven Templer [ctb], Paul-Christian Buerkner [ctb], Matthew Kay [ctb], Erwan Le Pennec [ctb], Johan Junkka [ctb], Hao Zhu [ctb], Benjamin Soltoff [ctb], Zoe Wilkinson Saldana [ctb], Tyler Littlefield [ctb], Charles T. Gray [ctb], Shabbh E. Banks [ctb], Serina Robinson [ctb], Roger Bivand [ctb], Riinu Ots [ctb], Nicholas Williams [ctb], Nina Jakobsen [ctb], Michael Weylandt [ctb], Lisa Lendway [ctb], Karl Hailperin [ctb], Josue Rodriguez [ctb], Jenny Bryan [ctb], Chris Jarvis [ctb], Greg Macfarlane [ctb], Brian Mannakee [ctb], Drew Tyre [ctb], Shreyas Singh [ctb], Laurens Geffert [ctb], Hong Ooi [ctb], Henrik Bengtsson [ctb], Eduard Szocs [ctb], David Hugh-Jones [ctb], Matthieu Stigler [ctb], Hugo Tavares [ctb] (<https://orcid.org/0000-0001-9373-2726>), R. Willem Vervoort [ctb], Brenton M. Wiernik [ctb], Josh Yamamoto [ctb]
Maintainer: Alex Hayes <alexpghayes@gmail.com>

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Package gdalUtilities updated to version 1.1.2 with previous version 1.1.1 dated 2020-07-25

Title: Wrappers for 'GDAL' Utilities Executables
Description: R's 'sf' package ships with self-contained 'GDAL' executables, including a bare bones interface to several 'GDAL'-related utility programs collectively known as the 'GDAL utilities'. For each of those utilities, this package provides an R wrapper whose formal arguments closely mirror those of the 'GDAL' command line interface. The utilities operate on data stored in files and typically write their output to other files. Therefore, to process data stored in any of R's more common spatial formats (i.e. those supported by the 'sp', 'sf', and 'raster' packages), first write them to disk, then process them with the package's wrapper functions before reading the outputted results back into R. GDAL function arguments introduced in GDAL version 3.2.1 or earlier are supported.
Author: Joshua O'Brien
Maintainer: Joshua O'Brien <joshmobrien@gmail.com>

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Package FossilSim updated to version 2.2.0 with previous version 2.1.1 dated 2019-02-21

Title: Simulation of Fossil and Taxonomy Data
Description: Simulating taxonomy and fossil data on phylogenetic trees under mechanistic models of speciation, preservation and sampling.
Author: Rachel Warnock [aut, cph], Joelle Barido-Sottani [aut, cre, cph], Walker Pett [aut, cph], O'Reilly Joseph [aut, cph]
Maintainer: Joelle Barido-Sottani <joelle.barido-sottani@m4x.org>

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Package pct updated to version 0.8.0 with previous version 0.7.0 dated 2020-11-27

Title: Propensity to Cycle Tool
Description: Functions and example data to teach and increase the reproducibility of the methods and code underlying the Propensity to Cycle Tool (PCT), a research project and web application hosted at <https://www.pct.bike/>. For an academic paper on the methods, see Lovelace et al (2017) <doi:10.5198/jtlu.2016.862>.
Author: Robin Lovelace [aut, cre] (<https://orcid.org/0000-0001-5679-6536>), Layik Hama [aut] (<https://orcid.org/0000-0003-1912-4890>), Nathanael Sheehan [ctb] (<https://orcid.org/0000-0002-2779-0976>)
Maintainer: Robin Lovelace <rob00x@gmail.com>

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Package officedown updated to version 0.2.2 with previous version 0.2.1 dated 2021-02-01

Title: Enhanced 'R Markdown' Format for 'Word' and 'PowerPoint'
Description: Allows production of 'Microsoft' corporate documents from 'R Markdown' by reusing formatting defined in 'Microsoft Word' documents. You can reuse table styles, list styles but also add column sections, landscape oriented pages. Table and image captions as well as cross-references are transformed into 'Microsoft Word' fields, allowing documents edition and merging without issue with references; the syntax conforms to the 'bookdown' cross-reference definition. Objects generated by the 'officer' package are also supported in the 'knitr' chunks. 'Microsoft PowerPoint' presentations also benefit from this as well as the ability to produce editable vector graphics in 'PowerPoint' and also to define placeholder where content is to be added.
Author: David Gohel [aut, cre, cph], Institut für Qualitätssicherung und Transparenz im Gesundheitswesen [fnd], Noam Ross [aut] (rmarkdown implementation for rvg), ArData [cph], Martin Camitz [ctb]
Maintainer: David Gohel <david.gohel@ardata.fr>

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Package mpath updated to version 0.4-2.19 with previous version 0.4-2.18 dated 2021-02-15

Title: Regularized Linear Models
Description: Algorithms compute concave convex (CC) estimators including robust (penalized) generalized linear models and robust support vector machines via the COCO - composite optimization by conjugation operator. The package also contains penalized Poisson, negative binomial, zero-inflated Poisson, zero-inflated negative binomial regression models and robust models with non-convex loss functions. Wang et al. (2014) <doi:10.1002/sim.6314>, Wang et al. (2015) <doi:10.1002/bimj.201400143>, Wang et al. (2016) <doi:10.1177/0962280214530608>, Wang (2019) <arXiv:1912.11119>, Wang (2020) <arXiv:2010.02848>.
Author: Zhu Wang, with contributions from Achim Zeileis, Simon Jackman, Brian Ripley, and Patrick Breheny
Maintainer: Zhu Wang <wangz1@uthscsa.edu>

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Package IsoplotR updated to version 3.8 with previous version 3.7 dated 2021-03-15

Title: Statistical Toolbox for Radiometric Geochronology
Description: Plots U-Pb data on Wetherill and Tera-Wasserburg concordia diagrams. Calculates concordia and discordia ages. Performs linear regression of measurements with correlated errors using 'York', 'Titterington' and 'Ludwig' approaches. Generates Kernel Density Estimates (KDEs) and Cumulative Age Distributions (CADs). Produces Multidimensional Scaling (MDS) configurations and Shepard plots of multi-sample detrital datasets using the Kolmogorov-Smirnov distance as a dissimilarity measure. Calculates 40Ar/39Ar ages, isochrons, and age spectra. Computes weighted means accounting for overdispersion. Calculates U-Th-He (single grain and central) ages, logratio plots and ternary diagrams. Processes fission track data using the external detector method and LA-ICP-MS, calculates central ages and plots fission track and other data on radial (a.k.a. 'Galbraith') plots. Constructs total Pb-U, Pb-Pb, Th-Pb, K-Ca, Re-Os, Sm-Nd, Lu-Hf, Rb-Sr and 230Th-U isochrons as well as 230Th-U evolution plots.
Author: Pieter Vermeesch [aut, cre]
Maintainer: Pieter Vermeesch <p.vermeesch@ucl.ac.uk>

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Package spidR updated to version 1.0.0 with previous version 0.1.0 dated 2021-03-18

Title: Spider Biodiversity Tools
Description: Allows the user to connect with the World Spider Catalogue (WSC; <https://wsc.nmbe.ch/>) and the World Spider Trait (WST; <https://spidertraits.sci.muni.cz/>) databases. Also performs several basic functions such as checking names validity, retrieving coordinate data from the Global Biodiversity Information Facility (GBIF; <https://www.gbif.org/>), and mapping.
Author: Pedro Cardoso [aut, cre]
Maintainer: Pedro Cardoso <pedro.cardoso@helsinki.fi>

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New package metabolighteR with initial version 0.1.2
Package: metabolighteR
Title: Interface to the 'Metabolights' REST API
Version: 0.1.2
Date: 2021-03-29
Authors@R: c( person("Tom", "Wilson", , "tpw2@aber.ac.uk", c("aut", "cre"), comment = c(ORCID = '0000-0003-3112-4682')))
Description: Access to the 'Metabolights' REST API <https://www.ebi.ac.uk/metabolights/index>. Retrieve elements of publicly available 'Metabolights' studies.
Depends: magrittr
Imports: httr, dplyr, purrr, crayon
License: GPL (>= 3)
URL: https://github.com/aberHRML/metabolighteR
BugReports: https://github.com/aberHRML/metabolighteR/issues
Encoding: UTF-8
Suggests: covr, testthat, tibble, knitr, rmarkdown, tidyr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-03-29 15:22:49 UTC; tom
Author: Tom Wilson [aut, cre] (<https://orcid.org/0000-0003-3112-4682>)
Maintainer: Tom Wilson <tpw2@aber.ac.uk>
Repository: CRAN
Date/Publication: 2021-04-05 15:30:02 UTC

More information about metabolighteR at CRAN
Permanent link

Package lvmisc updated to version 0.1.1 with previous version 0.1.0 dated 2021-02-22

Title: Veras Miscellaneous
Description: Contains a collection of useful functions for basic data computation and manipulation, wrapper functions for generating 'ggplot2' graphics, including statistical model diagnostic plots, methods for computing statistical models quality measures (such as AIC, BIC, r squared, root mean squared error) and general utilities.
Author: Lucas Veras [aut, cre] (<https://orcid.org/0000-0003-0562-5803>)
Maintainer: Lucas Veras <lucasdsveras@gmail.com>

Diff between lvmisc versions 0.1.0 dated 2021-02-22 and 0.1.1 dated 2021-04-05

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Package modeltime.ensemble updated to version 0.4.0 with previous version 0.3.0 dated 2020-11-06

Title: Ensemble Algorithms for Time Series Forecasting with Modeltime
Description: A 'modeltime' extension that implements time series ensemble forecasting methods including model averaging, weighted averaging, and stacking. These techniques are popular methods to improve forecast accuracy and stability. Refer to papers such as "Machine-Learning Models for Sales Time Series Forecasting" Pavlyshenko, B.M. (2019) <doi:10.3390>.
Author: Matt Dancho [aut, cre], Business Science [cph]
Maintainer: Matt Dancho <mdancho@business-science.io>

Diff between modeltime.ensemble versions 0.3.0 dated 2020-11-06 and 0.4.0 dated 2021-04-05

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New package modeltime.h2o with initial version 0.1.1
Package: modeltime.h2o
Title: Modeltime 'H2O' Machine Learning
Version: 0.1.1
Authors@R: c( person("Matt", "Dancho", email = "mdancho@business-science.io", role = c("aut", "cre")), person("Business Science", role = "cph"))
Description: Use the 'H2O' machine learning library inside of 'modeltime'. Available models include 'AutoML' for Automatic Machine Learning. Please see H2O.ai for more information <https://github.com/h2oai/h2o-3>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: modeltime (>= 0.4.1), h2o
Imports: magrittr, rlang (>= 0.1.2), tibble, timetk (>= 2.6.0), dplyr, parsnip (>= 0.1.4), purrr, tidyr, stringr, stats, glue, fs
Suggests: tidymodels, workflows, tidyverse, knitr, rmarkdown, roxygen2, testthat (>= 3.0.0), covr
SystemRequirements: Java (>= 8)
URL: https://github.com/business-science/modeltime.h2o
BugReports: https://github.com/business-science/modeltime.h2o/issues
NeedsCompilation: no
Packaged: 2021-03-31 15:58:02 UTC; mdancho
Author: Matt Dancho [aut, cre], Business Science [cph]
Maintainer: Matt Dancho <mdancho@business-science.io>
Repository: CRAN
Date/Publication: 2021-04-05 14:40:03 UTC

More information about modeltime.h2o at CRAN
Permanent link

Package MCDA updated to version 0.0.21 with previous version 0.0.20 dated 2019-05-29

Title: Support for the Multicriteria Decision Aiding Process
Description: Support for the analyst in a Multicriteria Decision Aiding (MCDA) process with algorithms, preference elicitation and data visualisation functions. Sébastien Bigaret, Richard Hodgett, Patrick Meyer, Tatyana Mironova, Alexandru Olteanu (2017) Supporting the multi-criteria decision aiding process : R and the MCDA package, Euro Journal On Decision Processes, Volume 5, Issue 1 - 4, pages 169 - 194 <doi:10.1007/s40070-017-0064-1>.
Author: Patrick Meyer, Sébastien Bigaret, Richard Hodgett, Alexandru-Liviu Olteanu
Maintainer: Patrick Meyer <patrick.meyer@imt-atlantique.fr>

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Package effectsize updated to version 0.4.4-1 with previous version 0.4.4 dated 2021-03-14

Title: Indices of Effect Size and Standardized Parameters
Description: Provide utilities to work with indices of effect size and standardized parameters for a wide variety of models (see list of supported models in insight; Lüdecke, Waggoner & Makowski (2019) <doi:10.21105/joss.01412>), allowing computation of and conversion between indices such as Cohen's d, r, odds, etc.
Author: Mattan S. Ben-Shachar [aut, cre] (<https://orcid.org/0000-0002-4287-4801>), Dominique Makowski [aut] (<https://orcid.org/0000-0001-5375-9967>), Daniel Lüdecke [aut] (<https://orcid.org/0000-0002-8895-3206>), Indrajeet Patil [ctb] (<https://orcid.org/0000-0003-1995-6531>, @patilindrajeets), Ken Kelley [ctb], David Stanley [ctb]
Maintainer: Mattan S. Ben-Shachar <matanshm@post.bgu.ac.il>

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Package cli updated to version 2.4.0 with previous version 2.3.1 dated 2021-02-23

Title: Helpers for Developing Command Line Interfaces
Description: A suite of tools to build attractive command line interfaces ('CLIs'), from semantic elements: headings, lists, alerts, paragraphs, etc. Supports custom themes via a 'CSS'-like language. It also contains a number of lower level 'CLI' elements: rules, boxes, trees, and 'Unicode' symbols with 'ASCII' alternatives. It support ANSI colors and text styles as well.
Author: Gábor Csárdi [aut, cre], Hadley Wickham [ctb], Kirill Müller [ctb], RStudio [cph]
Maintainer: Gábor Csárdi <csardi.gabor@gmail.com>

Diff between cli versions 2.3.1 dated 2021-02-23 and 2.4.0 dated 2021-04-05

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Package textile updated to version 0.1.4 with previous version 0.1.2 dated 2017-07-08

Title: Textile Images
Description: Contains real images of the same textile material with/without local defects, which were used in Bui and Apley (2018) <doi:10.1080/00401706.2017.1302362>.
Author: Anh Bui [aut, cre] and Daniel Apley [ths]
Maintainer: Anh Bui <atbui@u.northwestern.edu>

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Package sommer updated to version 4.1.3 with previous version 4.1.2 dated 2021-01-06

Title: Solving Mixed Model Equations in R
Description: Structural multivariate-univariate linear mixed model solver for estimation of multiple random effects and unknown variance-covariance structures (i.e. heterogeneous and unstructured variance models) (Covarrubias-Pazaran, 2016 <doi:10.1371/journal.pone.0156744>; Maier et al., 2015 <doi:10.1016/j.ajhg.2014.12.006>). REML estimates can be obtained using the Direct-Inversion Newton-Raphson and Direct-Inversion Average Information algorithms. Designed for genomic prediction and genome wide association studies (GWAS), particularly focused in the p > n problem (more coefficients than observations) and dense known covariance structures for levels of random effects. Spatial models can also be fitted using i.e. the two-dimensional spline functionality available in sommer.
Author: Giovanny Covarrubias-Pazaran
Maintainer: Giovanny Covarrubias-Pazaran <cova_ruber@live.com.mx>

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Package pgirmess updated to version 1.7.0 with previous version 1.6.9 dated 2018-03-12

Title: Spatial Analysis and Data Mining for Field Ecologists
Description: Set of tools for reading, writing and transforming spatial and seasonal data, model selection and specific statistical tests for ecologists. It includes functions to interpolate regular positions of points between landmarks, to discretize polylines into regular point positions, link distant observations to points, read subsets of big rasters, compute zonal statistics or table of categories from raster within polygons or circular buffers. The package also provides miscellaneous functions for model selection, spatial statistics and inference on diversity indexes, geometries, writing data.frame with Chinese characters, and some other functions for field ecologists.
Author: Patrick Giraudoux [aut, cre], Jean-Philippe Antonietti [ctb], Colin Beale [ctb], Renaud Lancelot [ctb], David Pleydell [ctb], Mike Treglia [ctb]
Maintainer: Patrick Giraudoux <patrick.giraudoux@univ-fcomte.fr>

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Package LHD updated to version 1.3.2 with previous version 1.3.1 dated 2020-11-18

Title: Latin Hypercube Designs (LHDs)
Description: Contains different algorithms and construction methods for efficient Latin hypercube designs (LHDs) with flexible sizes. Our package is comprehensive since it is capable of generating maximin distance LHDs, maximum projection LHDs, and orthogonal and nearly orthogonal LHDs. Detailed comparisons and summary of all the algorithms and construction methods in this package can be found at Hongzhi Wang, Qian Xiao and Abhyuday Mandal (2021) <arXiv:2010.09154>. This package is particularly useful in the area of Design and Analysis of Experiments (DAE). More specifically, design of computer experiments.
Author: Hongzhi Wang, Qian Xiao, Abhyuday Mandal
Maintainer: Hongzhi Wang <hw34508@uga.edu>

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New package DesignCTPB with initial version 1.1.1
Package: DesignCTPB
Title: Design Clinical Trials with Potential Biomarker Effect
Version: 1.1.1
Authors@R: c(person("Yitao", "Lu", email = "yitaolu@uvic.ca", role = c("aut","cre"),comment = c(ORCID = "0000-0002-0523-7416")), person("Belaid", email = "bmoa@uvic.ca", role = c("aut")), person("Julie","Zhou", email = "jzhou@uvic.ca", role = c("aut")), person("Li","Xing", email = "li.xing@math.usask.ca", role = c("aut"),comment = c(ORCID = "0000-0002-4186-7909")), person("Xuekui","Zhang", email = "xuekui@uvic.ca", role = c("aut"),comment = c(ORCID = "0000-0003-4728-2343")))
Description: Applying 'CUDA' 'GPUs' via 'Numba' for optimal clinical design. It allows the user to utilize a 'reticulate' 'Python' environment and run intensive Monte Carlo simulation to get the optimal cutoff for the clinical design with potential biomarker effect, which can guide the realistic clinical trials.
License: GPL (>= 2)
URL: https://github.com/ubcxzhang/DesignCTPB, Y Lu (2020) <doi:10.1002/sim.8868>
BugReports: https://github.com/ubcxzhang/DesignCTPB/issues
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Config/reticulate: list( packages = list( list(package = "scipy", pip = TRUE), list(package = "numba", pip = TRUE), list(package = "pandas", pip = TRUE) ) )
Packaged: 2021-04-05 07:29:48 UTC; michael
Imports: reticulate, mnormt, fields, magrittr,plotly
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Depends: R (>= 3.5.0)
SystemRequirements: OpenSSL(>= 1.0.1), NVIDIA CUDA GPU with compute capability 3.0 or above and NVIDIA CUDA Toolkit 9.0 or above
Author: Yitao Lu [aut, cre] (<https://orcid.org/0000-0002-0523-7416>), Belaid [aut], Julie Zhou [aut], Li Xing [aut] (<https://orcid.org/0000-0002-4186-7909>), Xuekui Zhang [aut] (<https://orcid.org/0000-0003-4728-2343>)
Maintainer: Yitao Lu <yitaolu@uvic.ca>
Repository: CRAN
Date/Publication: 2021-04-05 13:50:15 UTC

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Package testcorr updated to version 0.2.0 with previous version 0.1.2 dated 2020-02-29

Title: Testing Zero Correlation
Description: Computes the test statistics for examining the significance of autocorrelation in univariate time series, cross-correlation in bivariate time series, Pearson correlations in multivariate series and test statistics for i.i.d. property of univariate series given in Dalla, Giraitis and Phillips (2020), <https://cowles.yale.edu/sites/default/files/files/pub/d21/d2194-r.pdf>.
Author: Violetta Dalla, Liudas Giraitis and Peter C. B. Phillips
Maintainer: Violetta Dalla <vidalla@econ.uoa.gr>

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Package irrNA updated to version 0.2.2 with previous version 0.2.0 dated 2021-04-03

Title: Coefficients of Interrater Reliability – Generalized for Randomly Incomplete Datasets
Description: Provides coefficients of interrater reliability that are generalized to cope with randomly incomplete (i.e. unbalanced) datasets without any imputation of missing values or any (row-wise or column-wise) omissions of actually available data. Applied to complete (balanced) datasets, these generalizations yield the same results as the common procedures, namely the Intraclass Correlation according to McGraw & Wong (1996) <doi:10.1037/1082-989X.1.1.30> and the Coefficient of Concordance according to Kendall & Babington Smith (1939) <doi:10.1214/aoms/1177732186>.
Author: Markus Brueckl [aut, cre], Florian Heuer [aut, trl]
Maintainer: Markus Brueckl <markus.brueckl@tu-berlin.de>

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New package cmcR with initial version 0.1.6
Package: cmcR
Title: An Implementation of the 'Congruent Matching Cells' Method
Version: 0.1.6
Authors@R: c(person(given = "Joe",family = "Zemmels",role = c("aut","cre"),email = "jzemmels@iastate.edu"), person(given = "Heike",family = "Hofmann",email = "hofmann@iastate.edu",role = "aut"), person(given = "Susan",family = "VanderPlas", email ="susan.vanderplas@unl.edu",role= "aut"))
Maintainer: Joe Zemmels <jzemmels@iastate.edu>
Description: An open-source implementation of the 'Congruent Matching Cells' method for cartridge case identification as proposed by Song (2013) <https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=911193> as well as an extension of the method proposed by Tong et al. (2015) <doi:10.6028> (10.6028/jres.120.008). Provides a wide range of pre, inter, and post-processing options when working with cartridge case scan data and their associated comparisons. See the cmcR package website for more details and examples.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Imports: magrittr, x3ptools, dplyr, ggplot2, imager, purrr, zoo, stringr, assertthat, stats, utils, scales, ggnewscale, quantreg, tibble, tidyr, rlang
Suggests: knitr, rmarkdown, markdown, testthat, DT, magick, rgl, covr, gridExtra, cowplot
VignetteBuilder: knitr
Depends: R (>= 3.5.0)
NeedsCompilation: no
Packaged: 2021-04-05 02:17:30 UTC; jzemm
Author: Joe Zemmels [aut, cre], Heike Hofmann [aut], Susan VanderPlas [aut]
Repository: CRAN
Date/Publication: 2021-04-05 12:40:02 UTC

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Package bayesLife updated to version 5.0-1 with previous version 4.1-0 dated 2019-10-20

Title: Bayesian Projection of Life Expectancy
Description: Making probabilistic projections of life expectancy for all countries of the world, using a Bayesian hierarchical model <doi:10.1007/s13524-012-0193-x>. Subnational projections are also supported.
Author: Hana Sevcikova, Adrian Raftery, Jennifer Chunn
Maintainer: Hana Sevcikova <hanas@uw.edu>

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Package arkdb updated to version 0.0.12 with previous version 0.0.11 dated 2021-03-13

Title: Archive and Unarchive Databases Using Flat Files
Description: Flat text files provide a robust, compressible, and portable way to store tables from databases. This package provides convenient functions for exporting tables from relational database connections into compressed text files and streaming those text files back into a database without requiring the whole table to fit in working memory.
Author: Carl Boettiger [aut, cre, cph] (<https://orcid.org/0000-0002-1642-628X>), Richard FitzJohn [ctb]
Maintainer: Carl Boettiger <cboettig@gmail.com>

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Package webfakes updated to version 1.1.2 with previous version 1.1.1 dated 2020-12-16

Title: Fake Web Apps for HTTP Testing
Description: Create a web app that makes it easier to test web clients without using the internet. It includes a web app framework with path matching, parameters and templates. Can parse various 'HTTP' request bodies. Can send 'JSON' data or files from the disk. Includes a web app that implements the <https://httpbin.org> web service.
Author: Gábor Csárdi [aut, cre], RStudio, Pbc. [cph], Civetweb contributors [ctb] (see inst/credits/ciwetweb.md), Redoc contributors [ctb] (see inst/credits/redoc.md), L. Peter Deutsch [ctb] (src/md5.h), Martin Purschke [ctb] (src/md5.h), Aladdin Enterprises [cph] (src/md5.h), Maëlle Salmon [ctb] (<https://orcid.org/0000-0002-2815-0399>)
Maintainer: Gábor Csárdi <csardi.gabor@gmail.com>

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Package bigstatsr updated to version 1.5.1 with previous version 1.5.0 dated 2021-03-29

Title: Statistical Tools for Filebacked Big Matrices
Description: Easy-to-use, efficient, flexible and scalable statistical tools. Package bigstatsr provides and uses Filebacked Big Matrices via memory-mapping. It provides for instance matrix operations, Principal Component Analysis, sparse linear supervised models, utility functions and more <doi:10.1093/bioinformatics/bty185>.
Author: Florian Privé [aut, cre], Michael Blum [ths], Hugues Aschard [ths]
Maintainer: Florian Privé <florian.prive.21@gmail.com>

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Package tsfknn updated to version 0.5.0 with previous version 0.4.0 dated 2020-06-04

Title: Time Series Forecasting Using Nearest Neighbors
Description: Allows to forecast time series using nearest neighbors regression Francisco Martinez, Maria P. Frias, Maria D. Perez-Godoy and Antonio J. Rivera (2017) <doi:10.1007/s10462-017-9593-z>. When the forecasting horizon is higher than 1, two multi-step ahead forecasting strategies can be used. The model built is autoregressive, that is, it is only based on the observations of the time series. The nearest neighbors used in a prediction can be consulted and plotted.
Author: Francisco Martinez [aut, cre]
Maintainer: Francisco Martinez <fmartin@ujaen.es>

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Package mob updated to version 0.4.1 with previous version 0.4 dated 2021-02-17

Title: Monotonic Optimal Binning
Description: Generate the monotonic binning and perform the woe (weight of evidence) transformation for the logistic regression used in the consumer credit scorecard development. The woe transformation is a piecewise transformation that is linear to the log odds. For a numeric variable, all of its monotonic functional transformations will converge to the same woe transformation.
Author: WenSui Liu
Maintainer: WenSui Liu <liuwensui@gmail.com>

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Sun, 04 Apr 2021

Package StepReg updated to version 1.4.2 with previous version 1.4.1 dated 2020-03-23

Title: Stepwise Regression Analysis
Description: Stepwise regression analysis for variable selection can be used to get the best candidate final regression model with the forward selection, backward elimination and bidirectional elimination approaches. Best subset selection fit a separate least squares regression for each possible combination of all predictors. Both the above two procedures in this package can use weighted data to get best regression model in univariate regression and multivariate regression analysis(Alsubaihi, A. A., (2002) <doi:10.18637/jss.v007.i12>). And continuous variables nested within class effect is also considered in both two procedures. Also stepwise logistic regression in this package can performed with binary dependent variable(Agresti, A. (1984) <doi:10.1002/9780470594001> and Agresti, A. (2014) <doi:10.1007/978-3-642-04898-2_161>). A widely used selection criteria are available which includes Akaike information criterion(Darlington, R. B. (1968) <doi:10.1037/h0025471>, Judge, G. G. (1985) <doi:10.2307/1391738>), corrected Akaike information criterion(Hurvich, C. M., and Tsai, C. (1989) <doi:10.1093/biomet/76.2.297>), Bayesian information criterion(Sawa, T. (1978) <doi:10.2307/1913828>, Judge, G. G. (1985) <doi:10.2307/1391738>), Mallows Cp statistic(Mallows, C. L. (1973) <doi:10.1080/00401706.1995.10484370>, Hocking, R. R. (1976) <doi:10.2307/2529336>), Hannan and Quinn information criterion(Hannan, E. J. and Quinn, B. G. (1979) <doi:10.1111/j.2517-6161.1979.tb01072.x>, Mcquarrie, A. D. R. and Tsai, C. L. (1998) <doi:10.1142/3573>), corrected Hannan and Quinn information criterion(Mcquarrie, A. D. R. and Tsai, C. L. (1998) <doi:10.1142/3573>), Schwarz criterion(Schwarz, G. (1978) <doi:10.1214/aos/1176344136>, Judge, G. G. (1985) <doi:10.2307/1391738>), adjusted R-square statistic(Darlington, R. B. (1968) <doi:10.1037/h0025471>, Judge, G. G. (1985) <doi:10.2307/1391738>) and significance levels(Mckeon, J. J. (1974) <doi:10.1093/biomet/61.2.381>, Harold Hotelling. (1992) <doi:10.1007/978-1-4612-0919-5_4>, Pillai, K. C. S. (2006) <doi:10.1002/0471667196.ess1965.pub2>), where multicollinearity can be detected with checking tolerance value.
Author: Junhui Li,Xiaohuan Lu,Kun Cheng,Wenxin Liu
Maintainer: Junhui Li <junhuili@cau.edu.cn>

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Package rcheology updated to version 4.0.5.0 with previous version 4.0.4.0 dated 2021-02-16

Title: Data on Base Packages for Current and Previous Versions of R
Description: Provides a dataset of functions in all base packages of R versions 1.0.1 onwards.
Author: David Hugh-Jones [aut, cre]
Maintainer: David Hugh-Jones <davidhughjones@gmail.com>

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New package njtr1 with initial version 0.1.1
Package: njtr1
Title: Download and Analyze New Jersey Car Crash Data
Version: 0.1.1
Authors@R: person(given = "Gavin", family = "Rozzi", role = c("aut", "cre"), email = "gr@gavinrozzi.com", comment = c(ORCID = "0000-0002-9969-8175"))
Description: Download and analyze crash data published by the New Jersey Department of Transportation. The data in this package is collected through the filing of NJTR-1 form by police officers, which provide a standardized way of documenting a crash that took place within New Jersey.
License: GPL-3
Encoding: UTF-8
URL: https://gavinrozzi.github.io/njtr1/, https://github.com/gavinrozzi/njtr1/, https://www.gavinrozzi.com/project/njtr1/
BugReports: https://github.com/gavinrozzi/njtr1/issues/
LazyData: true
Depends: R (>= 3.5.0), stringr, lubridate, readr
Suggests: knitr, rmarkdown, markdown
VignetteBuilder: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2021-04-04 14:02:33 UTC; gavinrozzi
Author: Gavin Rozzi [aut, cre] (<https://orcid.org/0000-0002-9969-8175>)
Maintainer: Gavin Rozzi <gr@gavinrozzi.com>
Repository: CRAN
Date/Publication: 2021-04-04 22:30:05 UTC

More information about njtr1 at CRAN
Permanent link

Package aws.ecx updated to version 1.0.4 with previous version 0.99.0 dated 2021-03-19

Title: Communicating with AWS EC2 and ECS using AWS REST APIs
Description: Providing the functions for communicating with Amazon Web Services(AWS) Elastic Compute Cloud(EC2) and Elastic Container Service(ECS). The functions will have the prefix 'ecs_' or 'ec2_' depending on the class of the API. The request will be sent via the REST API and the parameters are given by the function argument. The credentials can be set via 'aws_set_credentials'. The EC2 documentation can be found at <https://docs.aws.amazon.com/AWSEC2/latest/APIReference/Welcome.html> and ECS can be found at <https://docs.aws.amazon.com/AmazonECS/latest/APIReference/Welcome.html>.
Author: Jiefei Wang [aut, cre]
Maintainer: Jiefei Wang <szwjf08@gmail.com>

Diff between aws.ecx versions 0.99.0 dated 2021-03-19 and 1.0.4 dated 2021-04-04

 DESCRIPTION                                                                        |    7 
 MD5                                                                                | 1021 -
 NAMESPACE                                                                          |    4 
 NEWS                                                                               |only
 R/actions-documentation.R                                                          |   12 
 R/api-generator-utils.R                                                            |   19 
 R/aws-credentials.R                                                                |   56 
 R/aws-rest-APIs.R                                                                  |   91 
 R/ec2-actions.R                                                                    | 6627 +++++-----
 R/ecs-actions.R                                                                    |  909 -
 R/package-settings.R                                                               |  124 
 R/utils.R                                                                          |  140 
 README.md                                                                          |  165 
 inst/doc/quick-start-guide.Rmd                                                     |  165 
 inst/doc/quick-start-guide.html                                                    |  167 
 inst/quick-start-guide.raw.Rmd                                                     |   81 
 inst/quick-start-guide.raw.knit.md                                                 |only
 inst/quick-start-guide.raw.utf8.md                                                 |only
 man/CommonDoc.Rd                                                                   |   16 
 man/credentials.Rd                                                                 |   20 
 man/ec2_accept_reserved_instances_exchange_quote.Rd                                |   18 
 man/ec2_accept_transit_gateway_multicast_domain_associations.Rd                    |   22 
 man/ec2_accept_transit_gateway_peering_attachment.Rd                               |   20 
 man/ec2_accept_transit_gateway_vpc_attachment.Rd                                   |   20 
 man/ec2_accept_vpc_endpoint_connections.Rd                                         |   20 
 man/ec2_accept_vpc_peering_connection.Rd                                           |   20 
 man/ec2_advertise_byoip_cidr.Rd                                                    |   25 
 man/ec2_allocate_address.Rd                                                        |   28 
 man/ec2_allocate_hosts.Rd                                                          |   30 
 man/ec2_apply_security_groups_to_client_vpn_target_network.Rd                      |   22 
 man/ec2_assign_ipv6_addresses.Rd                                                   |   20 
 man/ec2_assign_private_ip_addresses.Rd                                             |   20 
 man/ec2_associate_address.Rd                                                       |   28 
 man/ec2_associate_client_vpn_target_network.Rd                                     |   24 
 man/ec2_associate_dhcp_options.Rd                                                  |   22 
 man/ec2_associate_enclave_certificate_iam_role.Rd                                  |   22 
 man/ec2_associate_iam_instance_profile.Rd                                          |   20 
 man/ec2_associate_route_table.Rd                                                   |   24 
 man/ec2_associate_subnet_cidr_block.Rd                                             |   22 
 man/ec2_associate_transit_gateway_multicast_domain.Rd                              |   22 
 man/ec2_associate_transit_gateway_route_table.Rd                                   |   22 
 man/ec2_associate_vpc_cidr_block.Rd                                                |   28 
 man/ec2_attach_classic_link_vpc.Rd                                                 |   22 
 man/ec2_attach_internet_gateway.Rd                                                 |   22 
 man/ec2_attach_network_interface.Rd                                                |   22 
 man/ec2_attach_volume.Rd                                                           |   24 
 man/ec2_attach_vpn_gateway.Rd                                                      |   22 
 man/ec2_authorize_client_vpn_ingress.Rd                                            |   28 
 man/ec2_authorize_security_group_egress.Rd                                         |   28 
 man/ec2_authorize_security_group_ingress.Rd                                        |   30 
 man/ec2_bundle_instance.Rd                                                         |   20 
 man/ec2_cancel_bundle_task.Rd                                                      |   20 
 man/ec2_cancel_capacity_reservation.Rd                                             |   20 
 man/ec2_cancel_conversion_task.Rd                                                  |   22 
 man/ec2_cancel_export_task.Rd                                                      |   24 
 man/ec2_cancel_import_task.Rd                                                      |   22 
 man/ec2_cancel_reserved_instances_listing.Rd                                       |   20 
 man/ec2_cancel_spot_fleet_requests.Rd                                              |   18 
 man/ec2_cancel_spot_instance_requests.Rd                                           |   18 
 man/ec2_confirm_product_instance.Rd                                                |   22 
 man/ec2_copy_fpga_image.Rd                                                         |   28 
 man/ec2_copy_image.Rd                                                              |   32 
 man/ec2_copy_snapshot.Rd                                                           |   32 
 man/ec2_create_capacity_reservation.Rd                                             |   36 
 man/ec2_create_carrier_gateway.Rd                                                  |   22 
 man/ec2_create_client_vpn_endpoint.Rd                                              |   32 
 man/ec2_create_client_vpn_route.Rd                                                 |   28 
 man/ec2_create_customer_gateway.Rd                                                 |   26 
 man/ec2_create_default_subnet.Rd                                                   |   20 
 man/ec2_create_default_vpc.Rd                                                      |   22 
 man/ec2_create_dhcp_options.Rd                                                     |   18 
 man/ec2_create_egress_only_internet_gateway.Rd                                     |   22 
 man/ec2_create_fleet.Rd                                                            |   28 
 man/ec2_create_flow_logs.Rd                                                        |   34 
 man/ec2_create_fpga_image.Rd                                                       |   24 
 man/ec2_create_image.Rd                                                            |   24 
 man/ec2_create_instance_export_task.Rd                                             |   24 
 man/ec2_create_internet_gateway.Rd                                                 |   18 
 man/ec2_create_key_pair.Rd                                                         |   20 
 man/ec2_create_launch_template.Rd                                                  |   24 
 man/ec2_create_launch_template_version.Rd                                          |   28 
 man/ec2_create_local_gateway_route.Rd                                              |   24 
 man/ec2_create_local_gateway_route_table_vpc_association.Rd                        |   22 
 man/ec2_create_managed_prefix_list.Rd                                              |   24 
 man/ec2_create_nat_gateway.Rd                                                      |   24 
 man/ec2_create_network_acl.Rd                                                      |   20 
 man/ec2_create_network_acl_entry.Rd                                                |   28 
 man/ec2_create_network_insights_path.Rd                                            |   30 
 man/ec2_create_network_interface.Rd                                                |   26 
 man/ec2_create_network_interface_permission.Rd                                     |   26 
 man/ec2_create_placement_group.Rd                                                  |   22 
 man/ec2_create_reserved_instances_listing.Rd                                       |   22 
 man/ec2_create_route.Rd                                                            |   46 
 man/ec2_create_route_table.Rd                                                      |   20 
 man/ec2_create_security_group.Rd                                                   |   24 
 man/ec2_create_snapshot.Rd                                                         |   24 
 man/ec2_create_snapshots.Rd                                                        |   24 
 man/ec2_create_spot_datafeed_subscription.Rd                                       |   22 
 man/ec2_create_subnet.Rd                                                           |   30 
 man/ec2_create_tags.Rd                                                             |   18 
 man/ec2_create_traffic_mirror_filter.Rd                                            |   22 
 man/ec2_create_traffic_mirror_filter_rule.Rd                                       |   32 
 man/ec2_create_traffic_mirror_session.Rd                                           |   28 
 man/ec2_create_traffic_mirror_target.Rd                                            |   26 
 man/ec2_create_transit_gateway.Rd                                                  |   20 
 man/ec2_create_transit_gateway_connect.Rd                                          |   20 
 man/ec2_create_transit_gateway_connect_peer.Rd                                     |   24 
 man/ec2_create_transit_gateway_multicast_domain.Rd                                 |   20 
 man/ec2_create_transit_gateway_peering_attachment.Rd                               |   26 
 man/ec2_create_transit_gateway_prefix_list_reference.Rd                            |   24 
 man/ec2_create_transit_gateway_route.Rd                                            |   24 
 man/ec2_create_transit_gateway_route_table.Rd                                      |   20 
 man/ec2_create_transit_gateway_vpc_attachment.Rd                                   |   22 
 man/ec2_create_volume.Rd                                                           |   28 
 man/ec2_create_vpc.Rd                                                              |   28 
 man/ec2_create_vpc_endpoint.Rd                                                     |   28 
 man/ec2_create_vpc_endpoint_connection_notification.Rd                             |   26 
 man/ec2_create_vpc_endpoint_service_configuration.Rd                               |   22 
 man/ec2_create_vpc_peering_connection.Rd                                           |   26 
 man/ec2_create_vpn_connection.Rd                                                   |   26 
 man/ec2_create_vpn_connection_route.Rd                                             |   22 
 man/ec2_create_vpn_gateway.Rd                                                      |   22 
 man/ec2_delete_carrier_gateway.Rd                                                  |   20 
 man/ec2_delete_client_vpn_endpoint.Rd                                              |   20 
 man/ec2_delete_client_vpn_route.Rd                                                 |   24 
 man/ec2_delete_customer_gateway.Rd                                                 |   20 
 man/ec2_delete_dhcp_options.Rd                                                     |   20 
 man/ec2_delete_egress_only_internet_gateway.Rd                                     |   20 
 man/ec2_delete_fleets.Rd                                                           |   18 
 man/ec2_delete_flow_logs.Rd                                                        |   18 
 man/ec2_delete_fpga_image.Rd                                                       |   20 
 man/ec2_delete_internet_gateway.Rd                                                 |   20 
 man/ec2_delete_key_pair.Rd                                                         |   22 
 man/ec2_delete_launch_template.Rd                                                  |   22 
 man/ec2_delete_launch_template_versions.Rd                                         |   22 
 man/ec2_delete_local_gateway_route.Rd                                              |   22 
 man/ec2_delete_local_gateway_route_table_vpc_association.Rd                        |   20 
 man/ec2_delete_managed_prefix_list.Rd                                              |   20 
 man/ec2_delete_nat_gateway.Rd                                                      |   20 
 man/ec2_delete_network_acl.Rd                                                      |   20 
 man/ec2_delete_network_acl_entry.Rd                                                |   20 
 man/ec2_delete_network_insights_analysis.Rd                                        |   20 
 man/ec2_delete_network_insights_path.Rd                                            |   20 
 man/ec2_delete_network_interface.Rd                                                |   20 
 man/ec2_delete_network_interface_permission.Rd                                     |   20 
 man/ec2_delete_placement_group.Rd                                                  |   20 
 man/ec2_delete_queued_reserved_instances.Rd                                        |   18 
 man/ec2_delete_route.Rd                                                            |   26 
 man/ec2_delete_route_table.Rd                                                      |   20 
 man/ec2_delete_security_group.Rd                                                   |   22 
 man/ec2_delete_snapshot.Rd                                                         |   20 
 man/ec2_delete_spot_datafeed_subscription.Rd                                       |   18 
 man/ec2_delete_subnet.Rd                                                           |   25 
 man/ec2_delete_tags.Rd                                                             |   18 
 man/ec2_delete_traffic_mirror_filter.Rd                                            |   20 
 man/ec2_delete_traffic_mirror_filter_rule.Rd                                       |   20 
 man/ec2_delete_traffic_mirror_session.Rd                                           |   20 
 man/ec2_delete_traffic_mirror_target.Rd                                            |   20 
 man/ec2_delete_transit_gateway.Rd                                                  |   20 
 man/ec2_delete_transit_gateway_connect.Rd                                          |   20 
 man/ec2_delete_transit_gateway_connect_peer.Rd                                     |   20 
 man/ec2_delete_transit_gateway_multicast_domain.Rd                                 |   20 
 man/ec2_delete_transit_gateway_peering_attachment.Rd                               |   20 
 man/ec2_delete_transit_gateway_prefix_list_reference.Rd                            |   22 
 man/ec2_delete_transit_gateway_route.Rd                                            |   22 
 man/ec2_delete_transit_gateway_route_table.Rd                                      |   20 
 man/ec2_delete_transit_gateway_vpc_attachment.Rd                                   |   20 
 man/ec2_delete_volume.Rd                                                           |   25 
 man/ec2_delete_vpc.Rd                                                              |   25 
 man/ec2_delete_vpc_endpoint_connection_notifications.Rd                            |   18 
 man/ec2_delete_vpc_endpoint_service_configurations.Rd                              |   18 
 man/ec2_delete_vpc_endpoints.Rd                                                    |   18 
 man/ec2_delete_vpc_peering_connection.Rd                                           |   20 
 man/ec2_delete_vpn_connection.Rd                                                   |   20 
 man/ec2_delete_vpn_connection_route.Rd                                             |   22 
 man/ec2_delete_vpn_gateway.Rd                                                      |   20 
 man/ec2_deprovision_byoip_cidr.Rd                                                  |   20 
 man/ec2_deregister_image.Rd                                                        |   25 
 man/ec2_deregister_instance_event_notification_attributes.Rd                       |   18 
 man/ec2_deregister_transit_gateway_multicast_group_members.Rd                      |   22 
 man/ec2_deregister_transit_gateway_multicast_group_sources.Rd                      |   22 
 man/ec2_describe_account_attributes.Rd                                             |   18 
 man/ec2_describe_addresses.Rd                                                      |   18 
 man/ec2_describe_addresses_attribute.Rd                                            |   22 
 man/ec2_describe_aggregate_id_format.Rd                                            |   18 
 man/ec2_describe_availability_zones.Rd                                             |   18 
 man/ec2_describe_bundle_tasks.Rd                                                   |   18 
 man/ec2_describe_byoip_cidrs.Rd                                                    |   20 
 man/ec2_describe_capacity_reservations.Rd                                          |   20 
 man/ec2_describe_carrier_gateways.Rd                                               |   20 
 man/ec2_describe_classic_link_instances.Rd                                         |   20 
 man/ec2_describe_client_vpn_authorization_rules.Rd                                 |   22 
 man/ec2_describe_client_vpn_connections.Rd                                         |   22 
 man/ec2_describe_client_vpn_endpoints.Rd                                           |   20 
 man/ec2_describe_client_vpn_routes.Rd                                              |   22 
 man/ec2_describe_client_vpn_target_networks.Rd                                     |   22 
 man/ec2_describe_coip_pools.Rd                                                     |   20 
 man/ec2_describe_conversion_tasks.Rd                                               |   18 
 man/ec2_describe_customer_gateways.Rd                                              |   18 
 man/ec2_describe_dhcp_options.Rd                                                   |   20 
 man/ec2_describe_egress_only_internet_gateways.Rd                                  |   20 
 man/ec2_describe_elastic_gpus.Rd                                                   |   20 
 man/ec2_describe_export_image_tasks.Rd                                             |   20 
 man/ec2_describe_export_tasks.Rd                                                   |   18 
 man/ec2_describe_fast_snapshot_restores.Rd                                         |   20 
 man/ec2_describe_fleet_history.Rd                                                  |   26 
 man/ec2_describe_fleet_instances.Rd                                                |   22 
 man/ec2_describe_fleets.Rd                                                         |   20 
 man/ec2_describe_flow_logs.Rd                                                      |   20 
 man/ec2_describe_fpga_image_attribute.Rd                                           |   22 
 man/ec2_describe_fpga_images.Rd                                                    |   20 
 man/ec2_describe_host_reservation_offerings.Rd                                     |   22 
 man/ec2_describe_host_reservations.Rd                                              |   20 
 man/ec2_describe_hosts.Rd                                                          |   20 
 man/ec2_describe_iam_instance_profile_associations.Rd                              |   20 
 man/ec2_describe_id_format.Rd                                                      |   24 
 man/ec2_describe_identity_id_format.Rd                                             |   22 
 man/ec2_describe_image_attribute.Rd                                                |   22 
 man/ec2_describe_images.Rd                                                         |   18 
 man/ec2_describe_import_image_tasks.Rd                                             |   20 
 man/ec2_describe_import_snapshot_tasks.Rd                                          |   20 
 man/ec2_describe_instance_attribute.Rd                                             |   22 
 man/ec2_describe_instance_credit_specifications.Rd                                 |   20 
 man/ec2_describe_instance_event_notification_attributes.Rd                         |   18 
 man/ec2_describe_instance_status.Rd                                                |   20 
 man/ec2_describe_instance_type_offerings.Rd                                        |   22 
 man/ec2_describe_instance_types.Rd                                                 |   20 
 man/ec2_describe_instances.Rd                                                      |   20 
 man/ec2_describe_internet_gateways.Rd                                              |   20 
 man/ec2_describe_ipv6_pools.Rd                                                     |   20 
 man/ec2_describe_key_pairs.Rd                                                      |   18 
 man/ec2_describe_launch_template_versions.Rd                                       |   28 
 man/ec2_describe_launch_templates.Rd                                               |   20 
 man/ec2_describe_local_gateway_route_table_virtual_interface_group_associations.Rd |   20 
 man/ec2_describe_local_gateway_route_table_vpc_associations.Rd                     |   20 
 man/ec2_describe_local_gateway_route_tables.Rd                                     |   20 
 man/ec2_describe_local_gateway_virtual_interface_groups.Rd                         |   20 
 man/ec2_describe_local_gateway_virtual_interfaces.Rd                               |   20 
 man/ec2_describe_local_gateways.Rd                                                 |   20 
 man/ec2_describe_managed_prefix_lists.Rd                                           |   20 
 man/ec2_describe_moving_addresses.Rd                                               |   20 
 man/ec2_describe_nat_gateways.Rd                                                   |   20 
 man/ec2_describe_network_acls.Rd                                                   |   20 
 man/ec2_describe_network_insights_analyses.Rd                                      |   26 
 man/ec2_describe_network_insights_paths.Rd                                         |   20 
 man/ec2_describe_network_interface_attribute.Rd                                    |   22 
 man/ec2_describe_network_interface_permissions.Rd                                  |   20 
 man/ec2_describe_network_interfaces.Rd                                             |   20 
 man/ec2_describe_placement_groups.Rd                                               |   18 
 man/ec2_describe_prefix_lists.Rd                                                   |   20 
 man/ec2_describe_principal_id_format.Rd                                            |   20 
 man/ec2_describe_public_ipv4_pools.Rd                                              |   20 
 man/ec2_describe_regions.Rd                                                        |   18 
 man/ec2_describe_reserved_instances.Rd                                             |   22 
 man/ec2_describe_reserved_instances_listings.Rd                                    |   22 
 man/ec2_describe_reserved_instances_modifications.Rd                               |   20 
 man/ec2_describe_reserved_instances_offerings.Rd                                   |   32 
 man/ec2_describe_route_tables.Rd                                                   |   20 
 man/ec2_describe_scheduled_instance_availability.Rd                                |   20 
 man/ec2_describe_scheduled_instances.Rd                                            |   20 
 man/ec2_describe_security_group_references.Rd                                      |   18 
 man/ec2_describe_security_groups.Rd                                                |   20 
 man/ec2_describe_snapshot_attribute.Rd                                             |   22 
 man/ec2_describe_snapshots.Rd                                                      |   20 
 man/ec2_describe_spot_datafeed_subscription.Rd                                     |   18 
 man/ec2_describe_spot_fleet_instances.Rd                                           |   22 
 man/ec2_describe_spot_fleet_request_history.Rd                                     |   26 
 man/ec2_describe_spot_fleet_requests.Rd                                            |   20 
 man/ec2_describe_spot_instance_requests.Rd                                         |   20 
 man/ec2_describe_spot_price_history.Rd                                             |   26 
 man/ec2_describe_stale_security_groups.Rd                                          |   22 
 man/ec2_describe_subnets.Rd                                                        |   20 
 man/ec2_describe_tags.Rd                                                           |   20 
 man/ec2_describe_traffic_mirror_filters.Rd                                         |   20 
 man/ec2_describe_traffic_mirror_sessions.Rd                                        |   20 
 man/ec2_describe_traffic_mirror_targets.Rd                                         |   20 
 man/ec2_describe_transit_gateway_attachments.Rd                                    |   20 
 man/ec2_describe_transit_gateway_connect_peers.Rd                                  |   20 
 man/ec2_describe_transit_gateway_connects.Rd                                       |   20 
 man/ec2_describe_transit_gateway_multicast_domains.Rd                              |   20 
 man/ec2_describe_transit_gateway_peering_attachments.Rd                            |   20 
 man/ec2_describe_transit_gateway_route_tables.Rd                                   |   20 
 man/ec2_describe_transit_gateway_vpc_attachments.Rd                                |   20 
 man/ec2_describe_transit_gateways.Rd                                               |   20 
 man/ec2_describe_volume_attribute.Rd                                               |   22 
 man/ec2_describe_volume_status.Rd                                                  |   20 
 man/ec2_describe_volumes.Rd                                                        |   20 
 man/ec2_describe_volumes_modifications.Rd                                          |   20 
 man/ec2_describe_vpc_attribute.Rd                                                  |   22 
 man/ec2_describe_vpc_classic_link.Rd                                               |   18 
 man/ec2_describe_vpc_classic_link_dns_support.Rd                                   |   20 
 man/ec2_describe_vpc_endpoint_connection_notifications.Rd                          |   22 
 man/ec2_describe_vpc_endpoint_connections.Rd                                       |   20 
 man/ec2_describe_vpc_endpoint_service_configurations.Rd                            |   20 
 man/ec2_describe_vpc_endpoint_service_permissions.Rd                               |   22 
 man/ec2_describe_vpc_endpoint_services.Rd                                          |   20 
 man/ec2_describe_vpc_endpoints.Rd                                                  |   20 
 man/ec2_describe_vpc_peering_connections.Rd                                        |   20 
 man/ec2_describe_vpcs.Rd                                                           |   20 
 man/ec2_describe_vpn_connections.Rd                                                |   18 
 man/ec2_describe_vpn_gateways.Rd                                                   |   18 
 man/ec2_detach_classic_link_vpc.Rd                                                 |   22 
 man/ec2_detach_internet_gateway.Rd                                                 |   22 
 man/ec2_detach_network_interface.Rd                                                |   20 
 man/ec2_detach_volume.Rd                                                           |   24 
 man/ec2_detach_vpn_gateway.Rd                                                      |   22 
 man/ec2_disable_ebs_encryption_by_default.Rd                                       |   18 
 man/ec2_disable_fast_snapshot_restores.Rd                                          |   18 
 man/ec2_disable_transit_gateway_route_table_propagation.Rd                         |   22 
 man/ec2_disable_vgw_route_propagation.Rd                                           |   22 
 man/ec2_disable_vpc_classic_link.Rd                                                |   20 
 man/ec2_disable_vpc_classic_link_dns_support.Rd                                    |   20 
 man/ec2_disassociate_address.Rd                                                    |   22 
 man/ec2_disassociate_client_vpn_target_network.Rd                                  |   22 
 man/ec2_disassociate_enclave_certificate_iam_role.Rd                               |   22 
 man/ec2_disassociate_iam_instance_profile.Rd                                       |   20 
 man/ec2_disassociate_route_table.Rd                                                |   20 
 man/ec2_disassociate_subnet_cidr_block.Rd                                          |   20 
 man/ec2_disassociate_transit_gateway_multicast_domain.Rd                           |   22 
 man/ec2_disassociate_transit_gateway_route_table.Rd                                |   22 
 man/ec2_disassociate_vpc_cidr_block.Rd                                             |   20 
 man/ec2_enable_ebs_encryption_by_default.Rd                                        |   18 
 man/ec2_enable_fast_snapshot_restores.Rd                                           |   18 
 man/ec2_enable_transit_gateway_route_table_propagation.Rd                          |   22 
 man/ec2_enable_vgw_route_propagation.Rd                                            |   22 
 man/ec2_enable_volume_io.Rd                                                        |   25 
 man/ec2_enable_vpc_classic_link.Rd                                                 |   20 
 man/ec2_enable_vpc_classic_link_dns_support.Rd                                     |   20 
 man/ec2_export_client_vpn_client_certificate_revocation_list.Rd                    |   20 
 man/ec2_export_client_vpn_client_configuration.Rd                                  |   20 
 man/ec2_export_image.Rd                                                            |   28 
 man/ec2_export_transit_gateway_routes.Rd                                           |   22 
 man/ec2_get_associated_enclave_certificate_iam_roles.Rd                            |   20 
 man/ec2_get_associated_ipv6_pool_cidrs.Rd                                          |   22 
 man/ec2_get_capacity_reservation_usage.Rd                                          |   22 
 man/ec2_get_coip_pool_usage.Rd                                                     |   22 
 man/ec2_get_console_output.Rd                                                      |   20 
 man/ec2_get_console_screenshot.Rd                                                  |   20 
 man/ec2_get_default_credit_specification.Rd                                        |   20 
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 man/ec2_get_host_reservation_purchase_preview.Rd                                   |   20 
 man/ec2_get_launch_template_data.Rd                                                |   20 
 man/ec2_get_managed_prefix_list_associations.Rd                                    |   22 
 man/ec2_get_managed_prefix_list_entries.Rd                                         |   22 
 man/ec2_get_password_data.Rd                                                       |   20 
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 man/ec2_import_image.Rd                                                            |   34 
 man/ec2_import_instance.Rd                                                         |   22 
 man/ec2_import_key_pair.Rd                                                         |   22 
 man/ec2_import_snapshot.Rd                                                         |   26 
 man/ec2_import_volume.Rd                                                           |   22 
 man/ec2_modify_address_attribute.Rd                                                |   22 
 man/ec2_modify_availability_zone_group.Rd                                          |   22 
 man/ec2_modify_capacity_reservation.Rd                                             |   24 
 man/ec2_modify_client_vpn_endpoint.Rd                                              |   28 
 man/ec2_modify_default_credit_specification.Rd                                     |   22 
 man/ec2_modify_ebs_default_kms_key_id.Rd                                           |   20 
 man/ec2_modify_fleet.Rd                                                            |   22 
 man/ec2_modify_fpga_image_attribute.Rd                                             |   28 
 man/ec2_modify_hosts.Rd                                                            |   26 
 man/ec2_modify_id_format.Rd                                                        |   25 
 man/ec2_modify_identity_id_format.Rd                                               |   22 
 man/ec2_modify_image_attribute.Rd                                                  |   26 
 man/ec2_modify_instance_attribute.Rd                                               |   24 
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 man/ec2_modify_instance_credit_specification.Rd                                    |   20 
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 man/ec2_modify_instance_metadata_options.Rd                                        |   24 
 man/ec2_modify_instance_placement.Rd                                               |   30 
 man/ec2_modify_launch_template.Rd                                                  |   26 
 man/ec2_modify_managed_prefix_list.Rd                                              |   22 
 man/ec2_modify_network_interface_attribute.Rd                                      |   20 
 man/ec2_modify_reserved_instances.Rd                                               |   20 
 man/ec2_modify_snapshot_attribute.Rd                                               |   24 
 man/ec2_modify_spot_fleet_request.Rd                                               |   22 
 man/ec2_modify_subnet_attribute.Rd                                                 |   22 
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 man/ec2_modify_transit_gateway.Rd                                                  |   22 
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 man/ec2_modify_transit_gateway_vpc_attachment.Rd                                   |   20 
 man/ec2_modify_volume.Rd                                                           |   22 
 man/ec2_modify_volume_attribute.Rd                                                 |   20 
 man/ec2_modify_vpc_attribute.Rd                                                    |   20 
 man/ec2_modify_vpc_endpoint.Rd                                                     |   22 
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 man/ec2_modify_vpc_tenancy.Rd                                                      |   22 
 man/ec2_modify_vpn_connection.Rd                                                   |   26 
 man/ec2_modify_vpn_connection_options.Rd                                           |   28 
 man/ec2_modify_vpn_tunnel_certificate.Rd                                           |   22 
 man/ec2_modify_vpn_tunnel_options.Rd                                               |   22 
 man/ec2_monitor_instances.Rd                                                       |   18 
 man/ec2_move_address_to_vpc.Rd                                                     |   20 
 man/ec2_provision_byoip_cidr.Rd                                                    |   22 
 man/ec2_purchase_host_reservation.Rd                                               |   26 
 man/ec2_purchase_reserved_instances_offering.Rd                                    |   22 
 man/ec2_purchase_scheduled_instances.Rd                                            |   20 
 man/ec2_reboot_instances.Rd                                                        |   18 
 man/ec2_register_image.Rd                                                          |   36 
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 man/ec2_release_address.Rd                                                         |   24 
 man/ec2_release_hosts.Rd                                                           |   22 
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 man/ec2_replace_network_acl_association.Rd                                         |   22 
 man/ec2_replace_network_acl_entry.Rd                                               |   28 
 man/ec2_replace_route.Rd                                                           |   46 
 man/ec2_replace_route_table_association.Rd                                         |   22 
 man/ec2_replace_transit_gateway_route.Rd                                           |   24 
 man/ec2_report_instance_status.Rd                                                  |   26 
 man/ec2_request_spot_fleet.Rd                                                      |   18 
 man/ec2_request_spot_instances.Rd                                                  |   34 
 man/ec2_reset_address_attribute.Rd                                                 |   22 
 man/ec2_reset_ebs_default_kms_key_id.Rd                                            |   18 
 man/ec2_reset_fpga_image_attribute.Rd                                              |   22 
 man/ec2_reset_image_attribute.Rd                                                   |   22 
 man/ec2_reset_instance_attribute.Rd                                                |   22 
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 man/ec2_reset_snapshot_attribute.Rd                                                |   22 
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 man/ec2_revoke_client_vpn_ingress.Rd                                               |   24 
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 man/ec2_revoke_security_group_ingress.Rd                                           |   30 
 man/ec2_run_instances.Rd                                                           |   40 
 man/ec2_run_scheduled_instances.Rd                                                 |   22 
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 man/ec2_start_instances.Rd                                                         |   20 
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 man/ec2_stop_instances.Rd                                                          |   18 
 man/ec2_terminate_client_vpn_connections.Rd                                        |   24 
 man/ec2_terminate_instances.Rd                                                     |   18 
 man/ec2_unassign_ipv6_addresses.Rd                                                 |   20 
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 man/ec2_unmonitor_instances.Rd                                                     |   18 
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 man/ec2_update_security_group_rule_descriptions_ingress.Rd                         |   22 
 man/ec2_withdraw_byoip_cidr.Rd                                                     |   25 
 man/ecs_create_capacity_provider.Rd                                                |   20 
 man/ecs_create_cluster.Rd                                                          |   20 
 man/ecs_create_service.Rd                                                          |   36 
 man/ecs_create_task_set.Rd                                                         |   32 
 man/ecs_delete_account_setting.Rd                                                  |   22 
 man/ecs_delete_attributes.Rd                                                       |   20 
 man/ecs_delete_capacity_provider.Rd                                                |   20 
 man/ecs_delete_cluster.Rd                                                          |   24 
 man/ecs_delete_service.Rd                                                          |   22 
 man/ecs_delete_task_set.Rd                                                         |   24 
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 man/ecs_deregister_task_definition.Rd                                              |   20 
 man/ecs_describe_capacity_providers.Rd                                             |   20 
 man/ecs_describe_clusters.Rd                                                       |   18 
 man/ecs_describe_container_instances.Rd                                            |   20 
 man/ecs_describe_services.Rd                                                       |   20 
 man/ecs_describe_task_definition.Rd                                                |   20 
 man/ecs_describe_task_sets.Rd                                                      |   22 
 man/ecs_describe_tasks.Rd                                                          |   20 
 man/ecs_discover_poll_endpoint.Rd                                                  |   22 
 man/ecs_list_account_settings.Rd                                                   |   28 
 man/ecs_list_attributes.Rd                                                         |   30 
 man/ecs_list_clusters.Rd                                                           |   22 
 man/ecs_list_container_instances.Rd                                                |   28 
 man/ecs_list_services.Rd                                                           |   28 
 man/ecs_list_tags_for_resource.Rd                                                  |   20 
 man/ecs_list_task_definition_families.Rd                                           |   26 
 man/ecs_list_task_definitions.Rd                                                   |   28 
 man/ecs_list_tasks.Rd                                                              |   36 
 man/ecs_put_account_setting.Rd                                                     |   24 
 man/ecs_put_account_setting_default.Rd                                             |   22 
 man/ecs_put_attributes.Rd                                                          |   20 
 man/ecs_put_cluster_capacity_providers.Rd                                          |   20 
 man/ecs_register_container_instance.Rd                                             |   26 
 man/ecs_register_task_definition.Rd                                                |   34 
 man/ecs_run_task.Rd                                                                |   34 
 man/ecs_start_task.Rd                                                              |   30 
 man/ecs_stop_task.Rd                                                               |   24 
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 man/ecs_submit_task_state_change.Rd                                                |   32 
 man/ecs_tag_resource.Rd                                                            |   20 
 man/ecs_untag_resource.Rd                                                          |   20 
 man/ecs_update_capacity_provider.Rd                                                |   20 
 man/ecs_update_cluster_settings.Rd                                                 |   20 
 man/ecs_update_container_agent.Rd                                                  |   22 
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 man/ecs_update_service.Rd                                                          |   26 
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 man/ecs_update_task_set.Rd                                                         |   24 
 tests/testthat/test_ec2.R                                                          |    1 
 tests/testthat/test_ecs.R                                                          |  151 
 vignettes/quick-start-guide.Rmd                                                    |  165 
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Package ald updated to version 1.3.1 with previous version 1.2 dated 2018-02-01

Title: The Asymmetric Laplace Distribution
Description: It provides the density, distribution function, quantile function, random number generator, likelihood function, moments and Maximum Likelihood estimators for a given sample, all this for the three parameter Asymmetric Laplace Distribution defined in Koenker and Machado (1999). This is a special case of the skewed family of distributions available in Galarza et.al. (2017) <doi:10.1002/sta4.140> useful for quantile regression.
Author: Christian E. Galarza <cgalarza88@gmail.com> and Victor H. Lachos <hlachos@ime.unicamp.br>
Maintainer: Christian E. Galarza <cgalarza88@gmail.com>

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Package ComplexUpset updated to version 1.2.0 with previous version 1.1.0 dated 2021-02-26

Title: Create Complex UpSet Plots Using 'ggplot2' Components
Description: UpSet plots are an improvement over Venn Diagram for set overlap visualizations. Striving to bring the best of the 'UpSetR' and 'ggplot2', this package offers a way to create complex overlap visualisations, using simple and familiar tools, i.e. geoms of 'ggplot2'. For introduction to UpSet concept, see Lex et al. (2014) <doi:10.1109/TVCG.2014.2346248>.
Author: Michał Krassowski [aut, cre] (<https://orcid.org/0000-0002-9638-7785>)
Maintainer: Michał Krassowski <krassowski.michal+r@gmail.com>

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Package processx updated to version 3.5.1 with previous version 3.5.0 dated 2021-03-23

Title: Execute and Control System Processes
Description: Tools to run system processes in the background. It can check if a background process is running; wait on a background process to finish; get the exit status of finished processes; kill background processes. It can read the standard output and error of the processes, using non-blocking connections. 'processx' can poll a process for standard output or error, with a timeout. It can also poll several processes at once.
Author: Gábor Csárdi [aut, cre, cph] (<https://orcid.org/0000-0001-7098-9676>), Winston Chang [aut], RStudio [cph, fnd], Mango Solutions [cph, fnd]
Maintainer: Gábor Csárdi <csardi.gabor@gmail.com>

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Package photobiology updated to version 0.10.6 with previous version 0.10.5 dated 2020-08-27

Title: Photobiological Calculations
Description: Definitions of classes, methods, operators and functions for use in photobiology and radiation meteorology and climatology. Calculation of effective (weighted) and not-weighted irradiances/doses, fluence rates, transmittance, reflectance, absorptance, absorbance and diverse ratios and other derived quantities from spectral data. Local maxima and minima: peaks, valleys and spikes. Conversion between energy-and photon-based units. Wavelength interpolation. Astronomical calculations related solar angles and day length. Colours and vision. This package is part of the 'r4photobiology' suite, Aphalo, P. J. (2015) <doi:10.19232/uv4pb.2015.1.14>.
Author: Pedro J. Aphalo [aut, cre] (<https://orcid.org/0000-0003-3385-972X>), Titta K. Kotilainen [ctb] (<https://orcid.org/0000-0002-2822-9734>), Glenn Davis [ctb], Agnese Fazio [ctb]
Maintainer: Pedro J. Aphalo <pedro.aphalo@helsinki.fi>

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Package dataprep updated to version 0.1.1 with previous version 0.1.0 dated 2021-01-11

Title: Efficient and Flexible Data Preprocessing Tools
Description: Efficiently and flexibly preprocess data using a set of data filtering, deletion, and interpolation tools. These data preprocessing methods are developed based on the principles of completeness, accuracy, threshold method, and linear interpolation and through the setting of constraint conditions, time completion & recovery, and fast & efficient calculation and grouping. Key preprocessing steps include deletions of variables and observations, outlier removal, and missing values (NA) interpolation, which are dependent on the incomplete and dispersed degrees of raw data. They clean data more accurately, keep more samples, and add no outliers after interpolation, compared with ordinary methods. Auto-identification of consecutive NA via run-length based grouping is used in observation deletion, outlier removal, and NA interpolation; thus, new outliers are not generated in interpolation. Conditional extremum is proposed to realize point-by-point weighed outlier removal that saves non-outliers from being removed. Plus, time series interpolation with values to refer to within short periods further ensures reliable interpolation. These methods are based on and improved from the reference: Liang, C.-S., Wu, H., Li, H.-Y., Zhang, Q., Li, Z. & He, K.-B. (2020) <doi:10.1016/j.scitotenv.2020.140923>.
Author: Chun-Sheng Liang <liangchunsheng@lzu.edu.cn>, Hao Wu, Hai-Yan Li, Qiang Zhang, Zhanqing Li, Ke-Bin He, Lanzhou University, Tsinghua University
Maintainer: Chun-Sheng Liang <liangchunsheng@lzu.edu.cn>

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Package minidown updated to version 0.1.0 with previous version 0.0.3 dated 2021-01-06

Title: Create Simple Yet Powerful HTML Documents with Light Weight CSS Frameworks
Description: Create minimal, responsive, and style-agnostic HTML documents with the lightweight CSS frameworks such as 'sakura', 'Water.css', and 'spcss'. Powerful features include table of contents floating as a sidebar, folding codes and results, and more.
Author: Atsushi Yasumoto [aut, cph, cre] (<https://orcid.org/0000-0002-8335-495X>), Angelos Chalaris [aut] (mini.css), Susam Pal [aut] (spcss), Mitesh Shah [aut] (sakura), Kognise [aut] (Water.css)
Maintainer: Atsushi Yasumoto <atusy.rpkg@gmail.com>

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Package stockfish (with last version 0.1.1) was removed from CRAN

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Package MatTransMix (with last version 0.1.13) was removed from CRAN

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2020-09-11 0.1.12
2020-08-26 0.1.11
2020-06-28 0.1.10
2020-05-30 0.1.9
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Package mgss updated to version 1.1 with previous version 1.0 dated 2021-01-08

Title: A Matrix-Free Multigrid Preconditioner for Spline Smoothing
Description: Data smoothing with penalized splines is a popular method and is well established for one- or two-dimensional covariates. The extension to multiple covariates is straightforward but suffers from exponentially increasing memory requirements and computational complexity. This toolbox provides a matrix-free implementation of a conjugate gradient (CG) method for the regularized least squares problem resulting from tensor product B-spline smoothing with multivariate and scattered data. It further provides matrix-free preconditioned versions of the CG-algorithm where the user can choose between a simpler diagonal preconditioner and an advanced geometric multigrid preconditioner. The main advantage is that all algorithms are performed matrix-free and therefore require only a small amount of memory. For further detail see Siebenborn & Wagner (2019) <arXiv:1901.00654>.
Author: Martin Siebenborn [aut, cre, cph], Julian Wagner [aut, cph]
Maintainer: Martin Siebenborn <martin.siebenborn@uni-hamburg.de>

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Package pwr2ppl updated to version 0.2.0 with previous version 0.1.2 dated 2020-08-13

Title: Power Analyses for Common Designs (Power to the People)
Description: Statistical power analysis for designs including t-tests, correlations, multiple regression, ANOVA, mediation, and logistic regression. Functions accompany Aberson (2019) <doi:10.4324/9781315171500>.
Author: Chris Aberson
Maintainer: Chris Aberson <cla18@humboldt.edu>

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Package ggpmisc updated to version 0.3.9 with previous version 0.3.8-1 dated 2021-01-27

Title: Miscellaneous Extensions to 'ggplot2'
Description: Extensions to 'ggplot2' respecting the grammar of graphics paradigm. Specialization of method ggplot(): accept and convert on the fly time series data. Geom: "table", "plot" and "grob" add insets to plots using native data coordinates, while "table_npc", "plot_npc" and "grob_npc" do the same using "npc" coordinates through new aesthetics "npcx" and "npcy". Statistics: locate and tag peaks and valleys; count observations in different quadrants of a plot; select observations based on 2D density; label with the equation of a polynomial fitted with lm() or other types of models; labels with P-value, R^2 or adjusted R^2 or information criteria for fitted models; label with ANOVA table for fitted models; label with summary for fitted models. Model fit classes for which suitable methods are provided by package 'broom' are supported. Scales and stats to build volcano and quadrant plots based on outcomes, fold changes, p-values and false discovery rates.
Author: Pedro J. Aphalo [aut, cre] (<https://orcid.org/0000-0003-3385-972X>), Kamil Slowikowski [ctb]
Maintainer: Pedro J. Aphalo <pedro.aphalo@helsinki.fi>

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Package bestridge updated to version 1.0.5 with previous version 1.0.4 dated 2021-03-05

Title: A Comprehensive R Package for Best Subset Selection
Description: The bestridge package is designed to provide a one-stand service for users to successfully carry out best ridge regression in various complex situations via the primal dual active set algorithm proposed by Wen, C., Zhang, A., Quan, S. and Wang, X. (2020) <doi:10.18637/jss.v094.i04>. This package allows users to perform the regression, classification, count regression and censored regression for (ultra) high dimensional data, and it also supports advanced usages like group variable selection and nuisance variable selection.
Author: Liyuan Hu [aut, cre] (<https://orcid.org/0000-0003-2064-8990>), Jin Zhu [aut] (<https://orcid.org/0000-0001-8550-5822>), Junxian Zhu [aut], Kangkang Jiang [aut], Yanhang Zhang [aut], Xueqin Wang [aut] (<https://orcid.org/0000-0001-5205-9950>), Canhong Wen [aut]
Maintainer: Liyuan Hu <huly5@mail2.sysu.edu.cn>

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Package mlr3spatiotempcv (with last version 0.2.1) was removed from CRAN

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Sat, 03 Apr 2021

Package SMARTbayesR updated to version 1.0.2 with previous version 1.0.1 dated 2020-11-09

Title: Bayesian Set of Best Dynamic Treatment Regimes and Sample Size in SMARTs
Description: Permits determination of a set of optimal dynamic treatment regimes and sample size for a SMART design in the Bayesian setting. Please see Artman (2020) <arXiv:2008.02341>.
Author: William Artman [aut, cre]
Maintainer: William Artman <William_Artman@URMC.Rochester.edu>

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Package movecost updated to version 0.6 with previous version 0.5 dated 2020-06-05

Title: Calculation of Accumulated Cost Surface and Least-Cost Paths Related to Human Movement Across the Landscape
Description: Provides the facility to calculate non-isotropic accumulated cost surface and least-cost paths using a number of human-movement-related cost functions that can be selected by the user. It just requires a Digital Terrain Model, a start location and (optionally) destination locations. See Alberti (2019) <doi:10.1016/j.softx.2019.100331>.
Author: Gianmarco Alberti [aut, cre]
Maintainer: Gianmarco Alberti <gianmarcoalberti@gmail.com>

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Package FITSio updated to version 2.1-6 with previous version 2.1-5 dated 2021-03-23

Title: FITS (Flexible Image Transport System) Utilities
Description: Utilities to read and write files in the FITS (Flexible Image Transport System) format, a standard format in astronomy (see e.g. <https://en.wikipedia.org/wiki/FITS> for more information). Present low-level routines allow: reading, parsing, and modifying FITS headers; reading FITS images (multi-dimensional arrays); reading FITS binary and ASCII tables; and writing FITS images (multi-dimensional arrays). Higher-level functions allow: reading files composed of one or more headers and a single (perhaps multidimensional) image or single table; reading tables into data frames; generating vectors for image array axes; scaling and writing images as 16-bit integers. Known incompletenesses are reading random group extensions, as well as complex and array descriptor data types in binary tables.
Author: Andrew Harris
Maintainer: Andrew Harris <harris@astro.umd.edu>

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Package SmartEDA updated to version 0.3.7 with previous version 0.3.6 dated 2020-07-10

Title: Summarize and Explore the Data
Description: Exploratory analysis on any input data describing the structure and the relationships present in the data. The package automatically select the variable and does related descriptive statistics. Analyzing information value, weight of evidence, custom tables, summary statistics, graphical techniques will be performed for both numeric and categorical predictors.
Author: Dayanand Ubrangala [aut, cre], Kiran R [aut, ctb], Ravi Prasad Kondapalli [aut, ctb], Sayan Putatunda [aut, ctb]
Maintainer: Dayanand Ubrangala <daya6489@gmail.com>

Diff between SmartEDA versions 0.3.6 dated 2020-07-10 and 0.3.7 dated 2021-04-03

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Permanent link

Package rayrender updated to version 0.21.1 with previous version 0.14.0 dated 2020-08-02

Title: Build and Raytrace 3D Scenes
Description: Render scenes using pathtracing. Build 3D scenes out of spheres, cubes, planes, disks, triangles, cones, curves, line segments, cylinders, ellipsoids, and 3D models in the 'Wavefront' OBJ file format or the PLY Polygon File Format. Supports several material types, textures, multicore rendering, and tone-mapping. Based on the "Ray Tracing in One Weekend" book series. Peter Shirley (2018) <https://raytracing.github.io>.
Author: Tyler Morgan-Wall [aut, cph, cre] (<https://orcid.org/0000-0002-3131-3814>), Syoyo Fujita [ctb, cph], Melissa O'Neill [ctb, cph], Vilya Harvey [ctb, cph]
Maintainer: Tyler Morgan-Wall <tylermw@gmail.com>

Diff between rayrender versions 0.14.0 dated 2020-08-02 and 0.21.1 dated 2021-04-03

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More information about rayrender at CRAN
Permanent link

Package incase updated to version 0.3.0 with previous version 0.2.1 dated 2021-01-14

Title: Pipe-Friendly Vector Replacement with Case Statements
Description: Offers a pipe-friendly alternative to the 'dplyr' functions case_when() and if_else(), as well as a number of user-friendly simplifications for common use cases. These functions accept a vector as an optional first argument, allowing conditional statements to be built using the 'magrittr' dot operator. The functions also coerce all outputs to the same type, meaning you no longer have to worry about using specific typed variants of NA or explicitly declaring integer outputs, and evaluate outputs somewhat lazily, so you don't waste time on long operations that won't be used.
Author: Alexander Rossell Hayes [aut, cre, cph] (<https://orcid.org/0000-0001-9412-0457>), Patrice Kiener [ctb] (Contributed example for fn_case(), <https://orcid.org/0000-0002-0505-9920>)
Maintainer: Alexander Rossell Hayes <alexander@rossellhayes.com>

Diff between incase versions 0.2.1 dated 2021-01-14 and 0.3.0 dated 2021-04-03

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Package viewshed3d updated to version 4.0.0 with previous version 3.2.0 dated 2020-07-03

Title: Compute Viewshed in 3D Point Clouds of Ecosystems
Description: A set of tools to compute viewshed in 3D from Terrestrial Laser Scanner data and prepare the data prior to visibility estimation.
Author: Bastien Lecigne [aut, cre] (<https://orcid.org/0000-0002-1496-202X>), Jan Eitel [aut]
Maintainer: Bastien Lecigne <lecignebastien@gmail.com>

Diff between viewshed3d versions 3.2.0 dated 2020-07-03 and 4.0.0 dated 2021-04-03

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Permanent link

Package sparta updated to version 0.7.2 with previous version 0.7.1 dated 2021-03-01

Title: Sparse Tables
Description: Fast Multiplication and Marginalization of Sparse Tables.
Author: Mads Lindskou [aut, cre]
Maintainer: Mads Lindskou <mads@math.aau.dk>

Diff between sparta versions 0.7.1 dated 2021-03-01 and 0.7.2 dated 2021-04-03

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Permanent link

Package mnis updated to version 0.3.1 with previous version 0.2.7 dated 2017-07-03

Title: Easy Downloading Capabilities for the Members' Name Information Service
Description: An API package for the Members' Name Information Service operated by the UK parliament. Documentation for the API itself can be found here: <http://data.parliament.uk/membersdataplatform/default.aspx>.
Author: Evan Odell [aut, cre] (<https://orcid.org/0000-0003-1845-808X>)
Maintainer: Evan Odell <evanodell91@gmail.com>

Diff between mnis versions 0.2.7 dated 2017-07-03 and 0.3.1 dated 2021-04-03

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More information about mnis at CRAN
Permanent link

Package jti updated to version 0.7.0 with previous version 0.6.0 dated 2020-12-16

Title: Junction Tree Inference
Description: Minimal and memory efficient implementation of the junction tree algorithm using the Lauritzen-Spiegelhalter scheme; S. L. Lauritzen and D. J. Spiegelhalter (1988) <https://www.jstor.org/stable/2345762?seq=1>.
Author: Mads Lindskou [aut, cre]
Maintainer: Mads Lindskou <mads@math.aau.dk>

Diff between jti versions 0.6.0 dated 2020-12-16 and 0.7.0 dated 2021-04-03

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More information about jti at CRAN
Permanent link

Package dparser updated to version 1.3.1-2 with previous version 0.1.8 dated 2017-11-13

Title: Port of 'Dparser' Package
Description: A Scannerless GLR parser/parser generator. Note that GLR standing for "generalized LR", where L stands for "left-to-right" and R stands for "rightmost (derivation)". For more information see <https://en.wikipedia.org/wiki/GLR_parser>. This parser is based on the Tomita (1987) algorithm. (Paper can be found at <https://www.aclweb.org/anthology/P84-1073.pdf>). The original 'dparser' package documentation can be found at <http://dparser.sourceforge.net/>. This allows you to add mini-languages to R (like RxODE's ODE mini-language Wang, Hallow, and James 2015 <DOI:10.1002/psp4.12052>) or to parse other languages like 'NONMEM' to automatically translate them to R code. To use this in your code, add a LinkingTo dparser in your DESCRIPTION file and instead of using #include <dparse.h> use #include <dparser.h>. This also provides a R-based port of the make_dparser <http://dparser.sourceforge.net/d/make_dparser.cat> command called mkdparser(). Additionally you can parse an arbitrary grammar within R using the dparse() function, which works on most OSes and is mainly for grammar testing. The fastest parsing, of course, occurs at the C level, and is suggested.
Author: Matthew Fidler [aut, cre], John Plevyak [aut, cph]
Maintainer: Matthew Fidler <matthew.fidler@gmail.com>

Diff between dparser versions 0.1.8 dated 2017-11-13 and 1.3.1-2 dated 2021-04-03

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Package Dire updated to version 1.0.3 with previous version 1.0.2 dated 2021-03-22

Title: Linear Regressions with a Latent Outcome Variable
Description: Fit linear models, estimating score distributions for groups of people, following Cohen and Jiang (1999) <doi:10.2307/2669917>. In this model, the response is a latent trait (such as student ability) and raw item responses are combined with item difficulties in an item response theory (IRT) framework to form a density for each unit (student). This latent trait is then integrated out. This software is intended to fit the same models as the existing software 'AM' <http://am.air.org/>.
Author: Harold Doran [aut], Paul Bailey [aut, cre], Eric Buehler [aut], Sun-joo Lee [aut], Claire Kelley [ctb], Emmanuel Sikali [pdr]
Maintainer: Paul Bailey <pbailey@air.org>

Diff between Dire versions 1.0.2 dated 2021-03-22 and 1.0.3 dated 2021-04-03

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Package odbc updated to version 1.3.2 with previous version 1.3.1 dated 2021-03-16

Title: Connect to ODBC Compatible Databases (using the DBI Interface)
Description: A DBI-compatible interface to ODBC databases.
Author: Jim Hester [aut, cre], Hadley Wickham [aut], Oliver Gjoneski [ctb] (detule), lexicalunit [cph] (nanodbc library), Google Inc. [cph] (cctz library), RStudio [cph, fnd]
Maintainer: Jim Hester <jim.hester@rstudio.com>

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Package modeltime updated to version 0.5.1 with previous version 0.5.0 dated 2021-03-29

Title: The Tidymodels Extension for Time Series Modeling
Description: The time series forecasting framework for use with the 'tidymodels' ecosystem. Models include ARIMA, Exponential Smoothing, and additional time series models from the 'forecast' and 'prophet' packages. Refer to "Forecasting Principles & Practice, Second edition" (<https://otexts.com/fpp2/>). Refer to "Prophet: forecasting at scale" (<https://research.fb.com/blog/2017/02/prophet-forecasting-at-scale/>.).
Author: Matt Dancho [aut, cre], Business Science [cph]
Maintainer: Matt Dancho <mdancho@business-science.io>

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Package diathor updated to version 0.0.5 with previous version 0.0.4 dated 2021-02-24

Title: Calculate Ecological Information and Diatom Based Indices
Description: Calculates ecological information and biotic indices for diatoms in a sample. It includes number/shape of chloroplasts diversity indices, size classes, ecological guilds, and multiple biotic indices. It outputs both a dataframe with all the results and plots of all the obtained data in a defined output folder. Sample data was taken from Nicolosi Gelis, Cochero & Gómez (2020, <doi:10.1016/j.ecolind.2019.105951>). The package uses the 'Diat.Barcode' database to calculate morphological and ecological information by Rimet & Couchez (2012, <doi:10.1051/kmae/2012018>), and calculates the DES index by Descy (1979, <http://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=PASCAL8060205402>), the EPID index by Dell'Uomo (1996, ISBN: 3950009002), the IDAP index by Prygiel & Coste (1993, <doi:10.1007/BF00028033>), the ID-CH index by Hürlimann & Niederhauser (2007, <https://www.bafu.admin.ch/bafu/fr/home/themes/eaux/publications/publications-eaux/methodes-analyse-appreciation-cours-eau-diatomees.html>), the IDP index by Gómez & Licursi (2001, <doi:10.1023/A:1011415209445>), the ILM index by Leclercq & Maquet (1987, <http://www.vliz.be/imisdocs/publications/286641.pdf>), the IPS index by Coste (1982, <https://www.oieau.org/eaudoc/notice/ETUDE-DES-METHODES-BIOLOGIQUES-DAPPRECIATION-QUANTITATIVE-DE-LA-QUALITE-DES-EAUX>), the LOBO index by Lobo, Callegaro, & Bender (2002, ISBN:9788585869908), the SLA by Sládeček (1986, <doi:10.1002/aheh.19860140519>), the TDI index by Kelly, & Whitton (1995, <doi:10.1007/BF00003802>), and the SPEAR(herbicide) index by Wood, Mitrovic, Lim, Warne, Dunlop, & Kefford (2019, <doi:10.1016/j.ecolind.2018.12.035>).
Author: María Mercedes Nicolosi Gelis [aut] (<https://orcid.org/0000-0001-6324-7930>), María Belén Sathicq [aut] (<https://orcid.org/0000-0002-3534-8950>), Joaquín Cochero [cre] (<https://orcid.org/0000-0003-3957-6819>)
Maintainer: Joaquín Cochero <jcochero@ilpla.edu.ar>

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Package WeightIt updated to version 0.12.0 with previous version 0.11.0 dated 2021-02-02

Title: Weighting for Covariate Balance in Observational Studies
Description: Generates weights to form equivalent groups in observational studies with point or longitudinal treatments by easing and extending the functionality of the R packages 'twang' for generalized boosted modeling (McCaffrey, Ridgeway & Morral, 2004) <doi:10.1037/1082-989X.9.4.403>, 'CBPS' for covariate balancing propensity score weighting (Imai & Ratkovic, 2014) <doi:10.1111/rssb.12027>, 'ebal' for entropy balancing (Hainmueller, 2012) <doi:10.1093/pan/mpr025>, 'optweight' for optimization-based weights (Zubizarreta, 2015) <doi:10.1080/01621459.2015.1023805>, 'ATE' for empirical balancing calibration weighting (Chan, Yam, & Zhang, 2016) <doi:10.1111/rssb.12129>, 'SuperLearner' for stacked machine learning-based propensity scores (Pirracchio, Petersen, & van der Laan, 2015) <doi:10.1093/aje/kwu253>, among others. Also allows for assessment of weights and checking of covariate balance by interfacing directly with 'cobalt'.
Author: Noah Greifer [aut, cre] (<https://orcid.org/0000-0003-3067-7154>)
Maintainer: Noah Greifer <noah.greifer@gmail.com>

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Package spdep updated to version 1.1-7 with previous version 1.1-5 dated 2020-06-29

Title: Spatial Dependence: Weighting Schemes, Statistics
Description: A collection of functions to create spatial weights matrix objects from polygon 'contiguities', from point patterns by distance and tessellations, for summarizing these objects, and for permitting their use in spatial data analysis, including regional aggregation by minimum spanning tree; a collection of tests for spatial 'autocorrelation', including global 'Morans I' and 'Gearys C' proposed by 'Cliff' and 'Ord' (1973, ISBN: 0850860369) and (1981, ISBN: 0850860814), 'Hubert/Mantel' general cross product statistic, Empirical Bayes estimates and 'Assunção/Reis' (1999) <doi:10.1002/(SICI)1097-0258(19990830)18:16%3C2147::AID-SIM179%3E3.0.CO;2-I> Index, 'Getis/Ord' G ('Getis' and 'Ord' 1992) <doi:10.1111/j.1538-4632.1992.tb00261.x> and multicoloured join count statistics, 'APLE' ('Li 'et al.' ) <doi:10.1111/j.1538-4632.2007.00708.x>, local 'Moran's I' ('Anselin' 1995) <doi:10.1111/j.1538-4632.1995.tb00338.x> and 'Getis/Ord' G ('Ord' and 'Getis' 1995) <doi:10.1111/j.1538-4632.1995.tb00912.x>, 'saddlepoint' approximations ('Tiefelsdorf' 2002) <doi:10.1111/j.1538-4632.2002.tb01084.x> and exact tests for global and local 'Moran's I' ('Bivand et al.' 2009) <doi:10.1016/j.csda.2008.07.021> and 'LOSH' local indicators of spatial heteroscedasticity ('Ord' and 'Getis') <doi:10.1007/s00168-011-0492-y>. The implementation of most of the measures is described in 'Bivand' and 'Wong' (2018) <doi:10.1007/s11749-018-0599-x>. 'spdep' >= 1.1-1 corresponds to 'spatialreg' >= 1.1-1, in which the model fitting functions are deprecated and pass through to 'spatialreg', but will mask those in 'spatialreg'. From versions 1.2-1, the functions will be made defunct in 'spdep'. For now 'spatialreg' only has functions from 'spdep', where they are shown as deprecated. 'spatialreg' only loads the namespace of 'spdep'; if you attach 'spdep', the same functions in the other package will be masked. Some feed through adequately, others do not.
Author: Roger Bivand [cre, aut] (<https://orcid.org/0000-0003-2392-6140>), Micah Altman [ctb], Luc Anselin [ctb], Renato Assunção [ctb], Olaf Berke [ctb], Andrew Bernat [ctb], Guillaume Blanchet [ctb], Eric Blankmeyer [ctb], Marilia Carvalho [ctb], Bjarke Christensen [ctb], Yongwan Chun [ctb], Carsten Dormann [ctb], Stéphane Dray [ctb], Virgilio Gómez-Rubio [ctb], Martin Gubri [ctb], Rein Halbersma [ctb], Elias Krainski [ctb], Pierre Legendre [ctb], Nicholas Lewin-Koh [ctb], Angela Li [ctb], Hongfei Li [ctb], Jielai Ma [ctb], Abhirup Mallik [ctb, trl], Giovanni Millo [ctb], Werner Mueller [ctb], Hisaji Ono [ctb], Pedro Peres-Neto [ctb], Gianfranco Piras [ctb], Markus Reder [ctb], Michael Tiefelsdorf [ctb], René Westerholt [ctb], Danlin Yu [ctb]
Maintainer: Roger Bivand <Roger.Bivand@nhh.no>

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Package SDLfilter updated to version 2.1.0 with previous version 2.0.1 dated 2020-07-05

Title: Filtering and Assessing the Sample Size of Tracking Data
Description: Functions to filter GPS/Argos locations, as well as assessing the sample size for the analysis of animal distributions. The filters remove temporal and spatial duplicates, fixes located at a given height from estimated high tide line, and locations with high error as described in Shimada et al. (2012) <doi:10.3354/meps09747> and Shimada et al. (2016) <doi:10.1007/s00227-015-2771-0>. Sample size for the analysis of animal distributions can be assessed by the conventional area-based approach or the alternative probability-based approach as described in Shimada et al. (2021) <doi:10.1111/2041-210X.13506>.
Author: Takahiro Shimada
Maintainer: Takahiro Shimada <taka.shimada@gmail.com>

Diff between SDLfilter versions 2.0.1 dated 2020-07-05 and 2.1.0 dated 2021-04-03

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More information about SDLfilter at CRAN
Permanent link

New package L0Learn with initial version 2.0.3
Package: L0Learn
Title: Fast Algorithms for Best Subset Selection
Version: 2.0.3
Date: 2021-03-28
Authors@R: c( person("Hussein", "Hazimeh", email = "hazimeh@mit.edu", role = c("aut", "cre")), person("Rahul", "Mazumder", email = "rahulmaz@mit.edu", role = "aut"), person("Tim", "Nonet", email = "tim.nonet@gmail.com", role = "aut"))
Description: Highly optimized toolkit for approximately solving L0-regularized learning problems (a.k.a. best subset selection). The algorithms are based on coordinate descent and local combinatorial search. For more details, check the paper by Hazimeh and Mazumder (2020); the link is provided in the URL field below.
URL: https://pubsonline.informs.org/doi/10.1287/opre.2019.1919 https://github.com/hazimehh
BugReports: https://github.com/hazimehh/L0Learn/issues
License: MIT + file LICENSE
Depends: R (>= 3.3.0)
SystemRequirements: C++11
Imports: Rcpp (>= 0.12.13), Matrix, methods, ggplot2, reshape2, MASS
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr, rmarkdown, testthat, pracma, raster
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2021-03-28 21:38:21 UTC; hh
Author: Hussein Hazimeh [aut, cre], Rahul Mazumder [aut], Tim Nonet [aut]
Maintainer: Hussein Hazimeh <hazimeh@mit.edu>
Repository: CRAN
Date/Publication: 2021-04-03 13:50:28 UTC

More information about L0Learn at CRAN
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Package kittyR updated to version 1.1.0 with previous version 1.0.0 dated 2021-01-18

Title: Kitty Pictures and Meows from R Console
Description: Get pictures of cats and their meows from your R console.
Author: Indrajeet Patil [aut, cre, cph] (<https://orcid.org/0000-0003-1995-6531>, @patilindrajeets)
Maintainer: Indrajeet Patil <patilindrajeet.science@gmail.com>

Diff between kittyR versions 1.0.0 dated 2021-01-18 and 1.1.0 dated 2021-04-03

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Package irrNA updated to version 0.2.0 with previous version 0.1.4 dated 2018-04-11

Title: Coefficients of Interrater Reliability - Generalized for Randomly Incomplete Datasets
Description: Provides coefficients of interrater reliability that are generalized to cope with randomly incomplete (i.e. unbalanced) datasets without any imputation of missing values or any (row-wise or column-wise) omissions of actually available data. Applied to complete (balanced) datasets, these generalizations yield the same results as the common procedures, namely the Intraclass Correlation according to McGraw & Wong (1996) <doi:10.1037/1082-989X.1.1.30> and the Coefficient of Concordance according to Kendall & Babington Smith (1939) <doi:10.1214/aoms/1177732186>.
Author: Markus Brueckl [aut, cre], Florian Heuer [aut, trl]
Maintainer: Markus Brueckl <markus.brueckl@tu-berlin.de>

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New package ICAMS with initial version 2.3.10
Package: ICAMS
Title: In-Depth Characterization and Analysis of Mutational Signatures ('ICAMS')
Version: 2.3.10
Author: Steve Rozen, Nanhai Jiang, Arnoud Boot, Mo Liu, Yang Wu
Maintainer: Steve Rozen <steverozen@gmail.com>
Description: Analysis and visualization of experimentally elucidated mutational signatures -- the kind of analysis and visualization in Boot et al., "In-depth characterization of the cisplatin mutational signature in human cell lines and in esophageal and liver tumors", Genome Research 2018, <doi:10.1101/gr.230219.117> and "Characterization of colibactin-associated mutational signature in an Asian oral squamous cell carcinoma and in other mucosal tumor types", Genome Research 2020 <doi:10.1101/gr.255620.119>. 'ICAMS' stands for In-depth Characterization and Analysis of Mutational Signatures. 'ICAMS' has functions to read in variant call files (VCFs) and to collate the corresponding catalogs of mutational spectra and to analyze and plot catalogs of mutational spectra and signatures. Handles both "counts-based" and "density-based" catalogs of mutational spectra or signatures.
License: GPL-3 | file LICENSE
URL: https://github.com/steverozen/ICAMS
BugReports: https://github.com/steverozen/ICAMS/issues
Encoding: UTF-8
LazyData: true
Language: en-US
biocViews:
Imports: Biostrings, BSgenome, data.table, dplyr, GenomeInfoDb, GenomicRanges, graphics, grDevices, IRanges, RColorBrewer, stats, stringi, utils, zip
Depends: R (>= 3.5),
Suggests: BSgenome.Hsapiens.1000genomes.hs37d5, BSgenome.Hsapiens.UCSC.hg38, BSgenome.Mmusculus.UCSC.mm10, testthat
NeedsCompilation: no
Packaged: 2021-03-31 01:16:32 UTC; e0012078
Repository: CRAN
Date/Publication: 2021-04-03 13:50:31 UTC

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Package gRc updated to version 0.4.4 with previous version 0.4-3.2 dated 2019-04-17

Title: Inference in Graphical Gaussian Models with Edge and Vertex Symmetries
Description: Estimation, model selection and other aspects of statistical inference in Graphical Gaussian models with edge and vertex symmetries (Graphical Gaussian models with colours). Documentation about 'gRc' is provided in the paper by Hojsgaard and Lauritzen (2007, <doi:10.18637/jss.v023.i06>) and the paper by Hojsgaard and Lauritzen (2008, <doi:10.1111/j.1467-9868.2008.00666.x>).
Author: Søren Højsgaard <sorenh@math.aau.dk>, Steffen L. Lauritzen <lauritzen@math.ku.dk>
Maintainer: Søren Højsgaard <sorenh@math.aau.dk>

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Package diversityForest updated to version 0.3.1 with previous version 0.3.0 dated 2021-04-01

Title: Complex Split Procedures in Random Forests Through Candidate Split Sampling
Description: Implements interaction forests [1], which are specific diversity forests, and the basic form of diversity forests that uses univariable, binary splitting [2]. Interaction forests (IFs) are ensembles of decision trees that model quantitative and qualitative interaction effects using bivariable splitting. IFs come with the Effect Importance Measure (EIM), which can be used to identify variable pairs that feature quantitative and qualitative interaction effects with high predictive relevance. IFs and EIM focus on well interpretable forms of interactions. The package also offers plot functions for visualising the estimated forms of interaction effects. Categorical, metric, and survival outcomes are supported. This is a fork of the R package 'ranger' (main author: Marvin N. Wright) that implements random forests using an efficient C++ implementation. References: [1] Hornung, R. & Boulesteix, A.-L. (2021) Interaction Forests: Identifying and exploiting interpretable quantitative and qualitative interaction effects. Technical Report No. 237, Department of Statistics, University of Munich [2] Hornung, R. (2020) Diversity Forests: Using split sampling to allow for complex split procedures in random forest. Technical Report No. 234, Department of Statistics, University of Munich.
Author: Roman Hornung [aut, cre], Marvin N. Wright [ctb, cph]
Maintainer: Roman Hornung <hornung@ibe.med.uni-muenchen.de>

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Package dartR updated to version 1.9.1 with previous version 1.8.3 dated 2020-09-01

Title: Importing and Analysing SNP and Silicodart Data Generated by Genome-Wide Restriction Fragment Analysis
Description: Functions are provided that facilitate the import and analysis of SNP (single nucleotide polymorphism) and silicodart (presence/absence) data. The main focus is on data generated by DarT (Diversity Arrays Technology). However, once SNP or related fragment presence/absence data from any source is imported into a genlight object many of the functions can be used. Functions are available for input and output of SNP and silicodart data, for reporting on and filtering on various criteria (e.g. CallRate, Heterozygosity, Reproducibility, maximum allele frequency). Advanced filtering is based on Linkage Disequilibrium and HWE (Hardy-Weinberg equilibrium). Other functions are available for visualization after PCoA (Principle Coordinate Analysis), or to facilitate transfer of data between genlight/genind objects and newhybrids, related, phylip, structure, faststructure packages.
Author: Bernd Gruber [aut, cre], Arthur Georges [aut], Jose L. Mijangos [aut], Peter J. Unmack [ctb], Oliver Berry [ctb], Lindsay V. Clark [ctb], Floriaan Devloo-Delva [ctb]
Maintainer: Bernd Gruber <bernd.gruber@canberra.edu.au>

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Package bayesTFR updated to version 7.0-4 with previous version 6.4-0 dated 2019-10-18

Title: Bayesian Fertility Projection
Description: Making probabilistic projections of total fertility rate for all countries of the world, using a Bayesian hierarchical model.
Author: Hana Sevcikova (hanas@uw.edu), Leontine Alkema (alkema@nus.edu.sg), Peiran Liu (prliu@uw.edu), Adrian Raftery (raftery@uw.edu), Bailey Fosdick (bfosdick@uw.edu), Patrick Gerland (gerland@un.org)
Maintainer: Hana Sevcikova <hanas@uw.edu>

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Package albatross updated to version 0.3-1 with previous version 0.3-0 dated 2021-03-26

Title: PARAFAC Analysis of Fluorescence Excitation-Emission Matrices
Description: Perform parallel factor analysis (PARAFAC: Hitchcock, 1927) <doi:10.1002/sapm192761164> on fluorescence excitation-emission matrices (FEEMs): handle scattering signal and inner filter effect, scale the dataset, fit the model; perform split-half validation or jack-knifing. A modified approach called "randomised split-half" is also available. The package has a low dependency footprint (only two direct dependencies not in core or recommended; four total non-core/recommended dependencies) and has been tested on a wide range of R versions (including R as old as 3.3.3 from Debian Stretch).
Author: Ivan Krylov [aut, cre], Timur Labutin [ths]
Maintainer: Ivan Krylov <ikrylov@laser.chem.msu.ru>

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Package IntClust (with last version 0.1.0) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2018-07-30 0.1.0
2016-03-31 0.0.2

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Package CatPredi (with last version 1.1) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2017-10-09 1.1

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Package EMA (with last version 1.4.7) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2020-02-14 1.4.7
2019-12-16 1.4.6
2016-09-07 1.4.5
2014-03-28 1.4.4
2013-08-05 1.4.3
2013-07-08 1.4.2
2013-07-01 1.4.1
2013-04-29 1.4.0

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Package heatmap.plus (with last version 1.3) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2007-09-05 1.3
2007-03-30 1.2

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Package SNFtool (with last version 2.3.0) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2018-04-24 2.3.0
2017-11-24 2.2.1
2014-09-08 2.2
2014-03-29 2.1
2014-03-03 2.0.3

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Package spatstat updated to version 2.1-0 with previous version 2.0-1 dated 2021-03-13

Title: Spatial Point Pattern Analysis, Model-Fitting, Simulation, Tests
Description: Comprehensive open-source toolbox for analysing Spatial Point Patterns. Focused mainly on two-dimensional point patterns, including multitype/marked points, in any spatial region. Also supports three-dimensional point patterns, space-time point patterns in any number of dimensions, point patterns on a linear network, and patterns of other geometrical objects. Supports spatial covariate data such as pixel images. Contains over 2000 functions for plotting spatial data, exploratory data analysis, model-fitting, simulation, spatial sampling, model diagnostics, and formal inference. Data types include point patterns, line segment patterns, spatial windows, pixel images, tessellations, and linear networks. Exploratory methods include quadrat counts, K-functions and their simulation envelopes, nearest neighbour distance and empty space statistics, Fry plots, pair correlation function, kernel smoothed intensity, relative risk estimation with cross-validated bandwidth selection, mark correlation functions, segregation indices, mark dependence diagnostics, and kernel estimates of covariate effects. Formal hypothesis tests of random pattern (chi-squared, Kolmogorov-Smirnov, Monte Carlo, Diggle-Cressie-Loosmore-Ford, Dao-Genton, two-stage Monte Carlo) and tests for covariate effects (Cox-Berman-Waller-Lawson, Kolmogorov-Smirnov, ANOVA) are also supported. Parametric models can be fitted to point pattern data using the functions ppm(), kppm(), slrm(), dppm() similar to glm(). Types of models include Poisson, Gibbs and Cox point processes, Neyman-Scott cluster processes, and determinantal point processes. Models may involve dependence on covariates, inter-point interaction, cluster formation and dependence on marks. Models are fitted by maximum likelihood, logistic regression, minimum contrast, and composite likelihood methods. A model can be fitted to a list of point patterns (replicated point pattern data) using the function mppm(). The model can include random effects and fixed effects depending on the experimental design, in addition to all the features listed above. Fitted point process models can be simulated, automatically. Formal hypothesis tests of a fitted model are supported (likelihood ratio test, analysis of deviance, Monte Carlo tests) along with basic tools for model selection (stepwise(), AIC()) and variable selection (sdr). Tools for validating the fitted model include simulation envelopes, residuals, residual plots and Q-Q plots, leverage and influence diagnostics, partial residuals, and added variable plots.
Author: Adrian Baddeley [aut, cre], Rolf Turner [aut], Ege Rubak [aut]
Maintainer: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>

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Package provenance updated to version 3.2 with previous version 3.0 dated 2021-02-24

Title: Statistical Toolbox for Sedimentary Provenance Analysis
Description: Bundles a number of established statistical methods to facilitate the visual interpretation of large datasets in sedimentary geology. Includes functionality for adaptive kernel density estimation, principal component analysis, correspondence analysis, multidimensional scaling, generalised procrustes analysis and individual differences scaling using a variety of dissimilarity measures. Univariate provenance proxies, such as single-grain ages or (isotopic) compositions are compared with the Kolmogorov-Smirnov, Kuiper or Sircombe-Hazelton L2 distances. Categorical provenance proxies such as chemical compositions are compared with the Aitchison and Bray-Curtis distances, and point-counting data with the chi-square distance. Also included are tools to plot compositional and point-counting data on ternary diagrams and point-counting data on radial plots, to calculate the sample size required for specified levels of statistical precision, and to assess the effects of hydraulic sorting on detrital compositions. Includes an intuitive query-based user interface for users who are not proficient in R.
Author: Pieter Vermeesch [aut, cre]
Maintainer: Pieter Vermeesch <p.vermeesch@ucl.ac.uk>

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Package tfdatasets updated to version 2.4.0 with previous version 2.2.0 dated 2020-05-25

Title: Interface to 'TensorFlow' Datasets
Description: Interface to 'TensorFlow' Datasets, a high-level library for building complex input pipelines from simple, re-usable pieces. See <https://www.tensorflow.org/guide> for additional details.
Author: Daniel Falbel [ctb, cph, cre], JJ Allaire [aut, cph], Yuan Tang [aut] (<https://orcid.org/0000-0001-5243-233X>), Kevin Ushey [aut], RStudio [cph, fnd], Google Inc. [cph]
Maintainer: Daniel Falbel <daniel@rstudio.com>

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Package gbfs updated to version 1.3.7 with previous version 1.3.6 dated 2021-01-06

Title: Interface with Live Bikeshare Data
Description: Supplies a set of functions to interface with bikeshare data following the General Bikeshare Feed Specification, allowing users to query and accumulate tidy datasets for specified cities/bikeshare programs.
Author: Simon P. Couch [aut, cre], Kaelyn Rosenberg [aut], Mark Padgham [ctb]
Maintainer: Simon P. Couch <simonpatrickcouch@gmail.com>

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Fri, 02 Apr 2021

Package DET updated to version 3.0.1 with previous version 3.0.0 dated 2021-04-01

Title: Representation of DET Curve with Confidence Intervals
Description: Builds both ROC (Receiver Operating Characteristic) and DET (Detection Error Tradeoff) curves from a set of predictors, which are the results of a binary classification system. The curves give a general vision of the performance of the classifier, and are useful for comparing performance of different systems.
Author: García-Ródenas, Álvaro [aut, cre], Franco, Manuel [aut], Vivo, Juana-María [aut], Fernández-Breis, Jesualdo T. [aut], Font, Roberto [aut]
Maintainer: "García-Ródenas, Álvaro" <alvaro.garcia9@um.es>

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Package samplingbook updated to version 1.2.4 with previous version 1.2.2 dated 2017-05-22

Title: Survey Sampling Procedures
Description: Sampling procedures from the book 'Stichproben - Methoden und praktische Umsetzung mit R' by Goeran Kauermann and Helmut Kuechenhoff (2010).
Author: Juliane Manitz [aut,cre], Mark Hempelmann [ctb], Goeran Kauermann [ctb], Helmut Kuechenhoff [aut], Shuai Shao [ctb], Cornelia Oberhauser [ctb], Nina Westerheide [ctb], Manuel Wiesenfarth [ctb]
Maintainer: Juliane Manitz <r@manitz.org>

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Package RTransferEntropy updated to version 0.2.14 with previous version 0.2.13 dated 2020-12-17

Title: Measuring Information Flow Between Time Series with Shannon and Renyi Transfer Entropy
Description: Measuring information flow between time series with Shannon and Rényi transfer entropy. See also Dimpfl and Peter (2013) <doi:10.1515/snde-2012-0044> and Dimpfl and Peter (2014) <doi:10.1016/j.intfin.2014.03.004> for theory and applications to financial time series. Additional references can be found in the theory part of the vignette.
Author: David Zimmermann [aut, cre], Simon Behrendt [aut], Thomas Dimpfl [aut], Franziska Peter [aut]
Maintainer: David Zimmermann <david_j_zimmermann@hotmail.com>

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Package nhdplusTools updated to version 0.4.0 with previous version 0.3.16 dated 2020-11-13

Title: NHDPlus Tools
Description: Tools for traversing and working with National Hydrography Dataset Plus (NHDPlus) data. All methods implemented in 'nhdplusTools' are available in the NHDPlus documentation available from the US Environmental Protection Agency <https://www.epa.gov/waterdata/basic-information>.
Author: David Blodgett [aut, cre], Mike Johnson [ctb] (<https://orcid.org/0000-0002-5288-8350>)
Maintainer: David Blodgett <dblodgett@usgs.gov>

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Package miWQS updated to version 0.4.4 with previous version 0.4.2 dated 2021-01-21

Title: Multiple Imputation Using Weighted Quantile Sum Regression
Description: The miWQS package handles the uncertainty due to below the detection limit in a correlated component mixture problem. Researchers want to determine if a set/mixture of continuous and correlated components/chemicals is associated with an outcome and if so, which components are important in that mixture. These components share a common outcome but are interval-censored between zero and low thresholds, or detection limits, that may be different across the components. This package applies the multiple imputation (MI) procedure to the weighted quantile sum regression (WQS) methodology for continuous, binary, or count outcomes (Hargarten & Wheeler (2020) <doi:10.1016/j.envres.2020.109466>). The imputation models are: bootstrapping imputation (Lubin et.al (2004) <doi:10.1289/ehp.7199>), univariate Bayesian imputation (Hargarten & Wheeler (2020) <doi:10.1016/j.envres.2020.109466>), and multivariate Bayesian regression imputation.
Author: Paul M. Hargarten [aut, cre], David C. Wheeler [aut, rev, ths]
Maintainer: Paul M. Hargarten <hargartenp@alumni.vcu.edu>

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Package httpgd updated to version 1.1.1 with previous version 1.1.0 dated 2021-04-01

Title: A 'HTTP' Server Graphics Device
Description: A graphics device for R that is accessible via network protocols. This package was created to make it easier to embed live R graphics in integrated development environments and other applications. The included 'HTML/JavaScript' client (plot viewer) aims to provide a better overall user experience when dealing with R graphics. The device asynchronously serves 'SVG' graphics via 'HTTP' and 'WebSockets'.
Author: Florian Rupprecht [aut, cre] (<https://orcid.org/0000-0002-1795-8624>), Kun Ren [ctb], Jeroen Ooms [ctb] (<https://orcid.org/0000-0002-4035-0289>), Hadley Wickham [cph] (Author of included svglite code), Lionel Henry [cph] (Author of included svglite code), Thomas Lin Pedersen [cph] (Author and creator of included svglite code), T Jake Luciani [cph] (Author of included svglite code), Matthieu Decorde [cph] (Author of included svglite code), Vaudor Lise [cph] (Author of included svglite code), Tony Plate [cph] (Contributor to included svglite code), David Gohel [cph] (Contributor to included svglite code), Yixuan Qiu [cph] (Contributor to included svglite code), Håkon Malmedal [cph] (Contributor to included svglite code), RStudio [cph] (Copyright holder of included svglite code), Brett Robinson [cph] (Author of included belle library), Google [cph] (Copyright holder of included material design icons), Victor Zverovich [cph] (Author of included fmt library)
Maintainer: Florian Rupprecht <floruppr@gmail.com>

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Package reprex updated to version 2.0.0 with previous version 1.0.0 dated 2021-01-27

Title: Prepare Reproducible Example Code via the Clipboard
Description: Convenience wrapper that uses the 'rmarkdown' package to render small snippets of code to target formats that include both code and output. The goal is to encourage the sharing of small, reproducible, and runnable examples on code-oriented websites, such as <https://stackoverflow.com> and <https://github.com>, or in email. The user's clipboard is the default source of input code and the default target for rendered output. 'reprex' also extracts clean, runnable R code from various common formats, such as copy/paste from an R session.
Author: Jennifer Bryan [aut, cre] (<https://orcid.org/0000-0002-6983-2759>), Jim Hester [aut] (<https://orcid.org/0000-0002-2739-7082>), David Robinson [aut], Hadley Wickham [aut] (<https://orcid.org/0000-0003-4757-117X>), RStudio [cph, fnd]
Maintainer: Jennifer Bryan <jenny@rstudio.com>

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Package discourseGT updated to version 1.1.5 with previous version 1.1.4 dated 2021-02-17

Title: Analyze Group Patterns using Graph Theory in Educational Settings
Description: Analyzes group patterns using discourse analysis data with graph theory mathematics. Takes the order of which individuals talk and converts it to a network edge and weight list. Returns the density, centrality, centralization, and subgroup information for each group. Based on the analytical framework laid out in Chai et al. (2019) <doi:10.1187/cbe.18-11-0222>.
Author: Albert Chai [aut], Andrew Lee [aut], Joshua Le [aut, cre], Katherine Ly [ctb], Kevin Banh [ctb], Priya Pahal [ctb], Stanley Lo [aut]
Maintainer: Joshua Le <jpl038@ucsd.edu>

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Package editData updated to version 0.1.8 with previous version 0.1.2 dated 2017-10-07

Title: 'RStudio' Addin for Editing a 'data.frame'
Description: An 'RStudio' addin for editing a 'data.frame' or a 'tibble'. You can delete, add or update a 'data.frame' without coding. You can get resultant data as a 'data.frame'. In the package, modularized 'shiny' app codes are provided. These modules are intended for reuse across applications.
Author: Keon-Woong Moon [aut, cre]
Maintainer: Keon-Woong Moon <cardiomoon@gmail.com>

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Package officer updated to version 0.3.18 with previous version 0.3.17 dated 2021-03-05

Title: Manipulation of Microsoft Word and PowerPoint Documents
Description: Access and manipulate 'Microsoft Word' and 'Microsoft PowerPoint' documents from R. The package focuses on tabular and graphical reporting from R; it also provides two functions that let users get document content into data objects. A set of functions lets add and remove images, tables and paragraphs of text in new or existing documents. The package does not require any installation of Microsoft products to be able to write Microsoft files.
Author: David Gohel [aut, cre], Frank Hangler [ctb] (function body_replace_all_text), Liz Sander [ctb] (several documentation fixes), Anton Victorson [ctb] (fixes xml structures), Jon Calder [ctb] (update vignettes), John Harrold [ctb] (function annotate_base), John Muschelli [ctb] (google doc compatibility)
Maintainer: David Gohel <david.gohel@ardata.fr>

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Package listcompr updated to version 0.2.0 with previous version 0.1.0 dated 2021-01-13

Title: List Comprehension for R
Description: Syntactic shortcuts for creating synthetic lists, vectors, and data frames using list comprehension.
Author: Patrick Roocks <mail@p-roocks.de>
Maintainer: Patrick Roocks <mail@p-roocks.de>

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Package lefko3 updated to version 3.4.0 with previous version 3.3.2 dated 2021-02-26

Title: Historical and Ahistorical Population Projection Matrix Analysis
Description: Creates matrix population models for use in population ecological analyses. Specializes on the construction of historical matrices, which are 2d matrices comprising 3 consecutive times of demographic information. Estimates both raw and function-based forms of historical and standard ahistorical matrices. It also estimates function-based age-by-stage matrices. Methodology based on Ehrlen (2000) <doi:10.1890/0012-9658(2000)081[1675:TDOPPD]2.0.CO;2>.
Author: Richard P. Shefferson [aut, cre] (<https://orcid.org/0000-0002-5234-3131>), Johan Ehrlen [aut] (<https://orcid.org/0000-0001-8539-8967>)
Maintainer: Richard P. Shefferson <cdorm@g.ecc.u-tokyo.ac.jp>

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Package HiClimR updated to version 2.1.9 with previous version 2.1.8 dated 2021-01-05

Title: Hierarchical Climate Regionalization
Description: A tool for Hierarchical Climate Regionalization applicable to any correlation-based clustering. It adds several features and a new clustering method (called, 'regional' linkage) to hierarchical clustering in R ('hclust' function in 'stats' library): data regridding, coarsening spatial resolution, geographic masking, contiguity-constrained clustering, data filtering by mean and/or variance thresholds, data preprocessing (detrending, standardization, and PCA), faster correlation function with preliminary big data support, different clustering methods, hybrid hierarchical clustering, multivariate clustering (MVC), cluster validation, visualization of regionalization results, and exporting region map and mean timeseries into NetCDF-4 file. The technical details are described in Badr et al. (2015) <doi:10.1007/s12145-015-0221-7>.
Author: Hamada S. Badr [aut, cre] (<https://orcid.org/0000-0002-9808-2344>), Benjamin F. Zaitchik [aut] (<https://orcid.org/0000-0002-0698-0658>), Amin K. Dezfuli [aut] (<https://orcid.org/0000-0003-3274-8542>)
Maintainer: Hamada S. Badr <badr@jhu.edu>

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Package googleAuthR updated to version 1.4.0 with previous version 1.3.1 dated 2020-12-05

Title: Authenticate and Create Google APIs
Description: Create R functions that interact with OAuth2 Google APIs <https://developers.google.com/apis-explorer/> easily, with auto-refresh and Shiny compatibility.
Author: Mark Edmondson [aut, cre] (<https://orcid.org/0000-0002-8434-3881>), Jennifer Bryan [ctb], Johann deBoer [ctb], Neal Richardson [ctb], David Kulp [ctb], Joe Cheng [ctb]
Maintainer: Mark Edmondson <m@sunholo.com>

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Package geodiv updated to version 1.0.1 with previous version 1.0.0 dated 2021-03-30

Title: Methods for Calculating Gradient Surface Metrics
Description: Methods for calculating gradient surface metrics for continuous analysis of landscape features.
Author: Annie C. Smith, Phoebe Zarnetske, Kyla Dahlin, Adam Wilson, Andrew Latimer
Maintainer: Annie C. Smith <annie.smith@dnr.wa.gov>

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New package cinaR with initial version 0.2.1
Package: cinaR
Title: A Computational Pipeline for Bulk 'ATAC-Seq' Profiles
Version: 0.2.1
Authors@R: c(person(given = "Onur", family = "Karakaslar", role = c("aut", "cre"), email = "eonurkara@gmail.com"), person(given = "Duygu", family = "Ucar", role = "aut", comment = c(ORCID = "0000-0002-9772-3066")) )
Description: Differential analyses and Enrichment pipeline for bulk 'ATAC-seq' data analyses. This package combines different packages to have an ultimate package for both data analyses and visualization of 'ATAC-seq' data. Methods are described in Karakaslar et al. (2021) <doi:10.1101/2021.03.05.434143>.
License: GPL-3
Encoding: UTF-8
LazyData: true
URL: https://github.com/eonurk/cinaR/
BugReports: https://github.com/eonurk/cinaR/issues/
biocViews:
Depends: R (>= 3.5.0)
Imports: ChIPseeker, DESeq2, dplyr, edgeR, fgsea, GenomicRanges, ggplot2, ggrepel, grDevices, limma, utils, pheatmap, preprocessCore, RColorBrewer, sva, TxDb.Hsapiens.UCSC.hg38.knownGene, TxDb.Hsapiens.UCSC.hg19.knownGene, TxDb.Mmusculus.UCSC.mm10.knownGene, writexl
Suggests: biomaRt, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-04-02 10:46:03 UTC; eonurk
Author: Onur Karakaslar [aut, cre], Duygu Ucar [aut] (<https://orcid.org/0000-0002-9772-3066>)
Maintainer: Onur Karakaslar <eonurkara@gmail.com>
Repository: CRAN
Date/Publication: 2021-04-02 15:20:12 UTC

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Package reda updated to version 0.5.3 with previous version 0.5.2 dated 2020-07-08

Title: Recurrent Event Data Analysis
Description: Contains implementations of recurrent event data analysis routines including (1) survival and recurrent event data simulation from stochastic process point of view by the thinning method proposed by Lewis and Shedler (1979) <doi:10.1002/nav.3800260304> and the inversion method introduced in Cinlar (1975, ISBN:978-0486497976), (2) the mean cumulative function (MCF) estimation by the Nelson-Aalen estimator of the cumulative hazard rate function, (3) two-sample recurrent event responses comparison with the pseudo-score tests proposed by Lawless and Nadeau (1995) <doi:10.2307/1269617>, (4) gamma frailty model with spline rate function following Fu, et al. (2016) <doi:10.1080/10543406.2014.992524>.
Author: Wenjie Wang [aut, cre] (<https://orcid.org/0000-0003-0363-3180>), Haoda Fu [aut], Sy Han (Steven) Chiou [ctb], Jun Yan [ctb] (<https://orcid.org/0000-0003-4401-7296>)
Maintainer: Wenjie Wang <wang@wwenjie.org>

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Package RcmdrPlugin.UCA updated to version 4.4-3 with previous version 4.4-2 dated 2021-04-01

Title: UCA Rcmdr Plug-in
Description: Some extensions to Rcmdr (R Commander), randomness test, variance test for one normal sample and predictions using active model, made by R-UCA project and used in teaching statistics at University of Cadiz (UCA).
Author: Manuel Munoz-Marquez <manuel.munoz@uca.es>
Maintainer: Manuel Munoz-Marquez <manuel.munoz@uca.es>

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Package probhat updated to version 0.4.0 with previous version 0.3.1 dated 2020-07-14

Title: Multivariate Generalized Kernel Smoothing and Related Statistical Methods
Description: Probability mass functions (PMFs), probability density functions (PDFs), cumulative distribution functions (CDFs) and quantile functions, mainly via (optionally bounded/truncated) kernel smoothing. In the continuous case, there's support for univariate, multivariate and conditional distributions, including distributions that are both multivariate and conditional. These generalize methods from the book "Kernel Smoothing", Wand and Jones (1995). Also, supports categorical distributions, mixed conditional distributions (with mixed input types) and smooth empirical-like distributions, some of which, can be used for statistical classification. There are extensions for computing distance matrices (between distributions), multivariate probabilities, multivariate random numbers, moment-based statistics and mode estimates.
Author: Abby Spurdle
Maintainer: Abby Spurdle <spurdle.a@gmail.com>

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Package geomorph updated to version 4.0.0 with previous version 3.3.2 dated 2021-01-12

Title: Geometric Morphometric Analyses of 2D/3D Landmark Data
Description: Read, manipulate, and digitize landmark data, generate shape variables via Procrustes analysis for points, curves and surfaces, perform shape analyses, and provide graphical depictions of shapes and patterns of shape variation.
Author: Dean Adams [aut, cre], Michael Collyer [aut], Antigoni Kaliontzopoulou [aut], Erica Baken [aut]
Maintainer: Dean Adams <dcadams@iastate.edu>

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Package divest updated to version 0.10.1 with previous version 0.10.0 dated 2021-03-28

Title: Get Images Out of DICOM Format Quickly
Description: Provides tools to sort DICOM-format medical image files, and convert them to NIfTI-1 format.
Author: Jon Clayden [aut, cre] (<https://orcid.org/0000-0002-6608-0619>), Chris Rorden [aut], Martin J Fiedler [cph], Cong Xu [cph], Pascal Gloor [cph]
Maintainer: Jon Clayden <code@clayden.org>

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Package brinton updated to version 0.2.5 with previous version 0.2.4 dated 2021-01-08

Title: A Graphical EDA Tool
Description: An automated graphical exploratory data analysis (EDA) tool that introduces: a.) wideplot() graphics for exploring the structure of a dataset through a grid of variables and graphic types. b.) longplot() graphics, which present the entire catalog of available graphics for representing a particular variable using a grid of graphic types and variations on these types. c.) plotup() function, which presents a particular graphic for a specific variable of a dataset. The plotup() function also makes it possible to obtain the code used to generate the graphic, meaning that the user can adjust its properties as needed.
Author: Pere Millán-Martínez [aut, cre], Ramon Oller Piqué [ctb]
Maintainer: Pere Millán-Martínez <info@sciencegraph.org>

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Package BET updated to version 0.3.5 with previous version 0.3.4 dated 2021-03-21

Title: Binary Expansion Testing
Description: Nonparametric detection of nonuniformity and dependence with Binary Expansion Testing (BET). See Kai Zhang (2019) BET on Independence, Journal of the American Statistical Association, 114:528, 1620-1637, <DOI:10.1080/01621459.2018.1537921> and Zhigen Zhao, Michael Baiocchi, Kai Zhang. SorBET: A Fast and Powerful Algorithm to Test Dependence of Variables.
Author: Wan Zhang [aut, cre], Zhigen Zhao [aut], Michael Baiocchi [aut], Kai Zhang [aut]
Maintainer: Wan Zhang <wanz63@live.unc.edu>

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Package bayesian updated to version 0.0.3 with previous version 0.0.2 dated 2021-01-14

Title: Bindings for Bayesian TidyModels
Description: Fit Bayesian models using 'brms'/'Stan' with 'parsnip'/'tidymodels' via 'bayesian' <doi:10.5281/zenodo.4430991>. 'tidymodels' is a collection of packages for machine learning; see Wickham (2020) <https://www.tidymodels.org>). The technical details of 'brms' and 'Stan' are described in Bürkner (2017) <doi:10.18637/jss.v080.i01>, Bürkner (2018) <doi:10.32614/RJ-2018-017>, and Carpenter et al. (2017) <doi:10.18637/jss.v076.i01>.
Author: Hamada S. Badr [aut, cre] (<https://orcid.org/0000-0002-9808-2344>), Paul C. Bürkner [aut]
Maintainer: Hamada S. Badr <badr@jhu.edu>

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Package tidytable updated to version 0.6.0 with previous version 0.5.9 dated 2021-03-04

Title: Tidy Interface to 'data.table'
Description: A tidy interface to 'data.table' that is 'rlang' compatible, giving users the speed of 'data.table' with the clean syntax of the tidyverse.
Author: Mark Fairbanks [aut, cre], Tyson Barrett [ctb], Ivan Leung [ctb], Ross Kennedy [ctb], Lionel Henry [ctb], Matt Carlson [ctb], Abdessabour Moutik [ctb]
Maintainer: Mark Fairbanks <mark.t.fairbanks@gmail.com>

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Package SynthETIC updated to version 1.0.0 with previous version 0.1.0 dated 2020-08-24

Title: Synthetic Experience Tracking Insurance Claims
Description: Creation of an individual claims simulator which generates various features of non-life insurance claims. An initial set of test parameters, designed to mirror the experience of an Auto Liability portfolio, were set up and applied by default to generate a realistic test data set of individual claims (see vignette). The simulated data set then allows practitioners to back-test the validity of various reserving models and to prove and/or disprove certain actuarial assumptions made in claims modelling. The distributional assumptions used to generate this data set can be easily modified by users to match their experiences. Reference: Avanzi B, Taylor G, Wang M, Wong B (2020) "SynthETIC: an individual insurance claim simulator with feature control" <arXiv:2008.05693>.
Author: Benjamin Avanzi [aut], Greg Taylor [aut], Melantha Wang [aut, cre], Bernard Wong [aut]
Maintainer: Melantha Wang <wang.melantha@gmail.com>

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Package simfinR updated to version 0.2.3 with previous version 0.2.2 dated 2020-04-29

Title: Import Financial Data from the 'SimFin' Project
Description: Uses the 'SimFin' (SIMmplifying FINnance) api at <https://simfin.com/data/access/api> to download financial data straight into your R session. It includes financial statements -- balance sheet, cash flow and income statement -- and adjusted daily price of stocks. The available data is comprehensive, going back to 2005 and available for quarters (Q1, Q2, Q3, Q4) and years (FY).
Author: Marcelo S. Perlin
Maintainer: Marcelo S. Perlin <marceloperlin@gmail.com>

Diff between simfinR versions 0.2.2 dated 2020-04-29 and 0.2.3 dated 2021-04-02

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New package prewas with initial version 1.1.1
Package: prewas
Title: Data Pre-Processing for Bacterial Genome-Wide Association Studies
Version: 1.1.1
Authors@R: c( person("Katie", "Saund", email = "katiephd@umich.edu", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-6214-6713")), person("Zena", "Lapp", email = "zenalapp@umich.edu", role = "aut", comment = c(ORCID = "0000-0003-4674-2176")), person("Stephanie", "Thiede", email = "thiede@umich.edu", role = "aut", comment = c(ORCID = "0000-0003-0173-4324")))
Description: Standardize the pre-processing of genomic variants before performing a bacterial genome-wide association study (bGWAS). 'prewas' creates a variant matrix (where each row is a variant, each column is a sample, and the entries are presence - 1 - or absence - 0 - of the variant) that can be used as input for bGWAS tools. When creating the binary variant matrix, 'prewas' can perform 3 pre-processing steps including: dealing with multiallelic SNPs, (optional) dealing with SNPs in overlapping genes, and choosing a reference allele. 'prewas' can output matrices for use with both SNP-based bGWAS and gene-based bGWAS. This method is described in Saund et al. (2020) <doi:10.1099/mgen.0.000368>. 'prewas' can also provide gene matrices for variants with specific annotations from the 'SnpEff' software (Cingolani et al. 2012).
URL: https://github.com/Snitkin-Lab-Umich/prewas
BugReports: https://github.com/Snitkin-Lab-Umich/prewas/issues
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0)
Imports: ape (>= 5.3), future (>= 1.15.1), future.apply (>= 1.3.0), phangorn (>= 2.5.5), stats (>= 3.5.0), vcfR (>= 1.8.0), utils (>= 3.5.0), methods (>= 3.5.0)
Suggests: testthat (>= 2.2.1), knitr (>= 1.24), rmarkdown (>= 1.15)
VignetteBuilder: knitr
Date: 2021-04-01
NeedsCompilation: no
Packaged: 2021-04-01 19:54:48 UTC; katiephd
Author: Katie Saund [aut, cre] (<https://orcid.org/0000-0002-6214-6713>), Zena Lapp [aut] (<https://orcid.org/0000-0003-4674-2176>), Stephanie Thiede [aut] (<https://orcid.org/0000-0003-0173-4324>)
Maintainer: Katie Saund <katiephd@umich.edu>
Repository: CRAN
Date/Publication: 2021-04-02 12:20:05 UTC

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Package jfa updated to version 0.5.2 with previous version 0.5.1 dated 2021-03-02

Title: Bayesian and Classical Audit Sampling
Description: Implements the audit sampling workflow as discussed in Derks et al. (2019) <doi:10.31234/osf.io/9f6ub>. The package makes it easy for an auditor to plan an audit sample, sample from the population, and evaluating that sample using various confidence bounds according to the International Standards on Auditing. Furthermore, the package implements Bayesian equivalents of these methods.
Author: Koen Derks [aut, cre] (<https://orcid.org/0000-0002-5533-9349>)
Maintainer: Koen Derks <k.derks@nyenrode.nl>

Diff between jfa versions 0.5.1 dated 2021-03-02 and 0.5.2 dated 2021-04-02

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New package sasfunclust with initial version 1.0.0
Package: sasfunclust
Title: Sparse and Smooth Functional Clustering
Version: 1.0.0
Authors@R: c( person("Fabio", "Centofanti", email = "fabio.centofanti@unina.it", role = c("cre","aut")), person("Antonio", "Lepore", role = c("aut")), person("Biagio", "Palumbo", role = c("aut")) )
Description: Implements the sparse and smooth functional clustering (SaS-Funclust) method (Centofanti et al. (2021) <arXiv:2103.15224>) that aims to classify a sample of curves into homogeneous groups while jointly detecting the most informative portions of domain.
License: GPL-3
Encoding: UTF-8
LinkingTo: Rcpp,RcppArmadillo
Imports: Rcpp, fda, mclust, matrixcalc, MASS, Matrix
URL: https://github.com/unina-sfere/sasfunclust
BugReports: https://github.com/unina-sfere/sasfunclust/issues
Suggests: knitr, rmarkdown, testthat
SystemRequirements: GNU make
NeedsCompilation: yes
Packaged: 2021-04-01 17:26:24 UTC; fabio
Author: Fabio Centofanti [cre, aut], Antonio Lepore [aut], Biagio Palumbo [aut]
Maintainer: Fabio Centofanti <fabio.centofanti@unina.it>
Repository: CRAN
Date/Publication: 2021-04-02 11:30:02 UTC

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New package ReviewR with initial version 2.3.6
Package: ReviewR
Title: A Light-Weight, Portable Tool for Reviewing Individual Patient Records
Version: 2.3.6
Authors@R: c( person('Laura', 'Wiley', email = 'laura.wiley@cuanschutz.edu', role = c('aut'), comment = c(ORCID = "0000-0001-6681-9754")), person('Luke', 'Rasmussen', email = 'luke.rasmussen@northwestern.edu', role = c('aut'), comment = c(ORCID = "0000-0002-4497-8049")), person('David', 'Mayer', email = 'david.mayer@cuanschutz.edu', role = c('cre', 'aut')), person(given = "The Wiley Lab", role = c("cph", "fnd")) )
Description: A portable Shiny tool to explore patient-level electronic health record data and perform chart review in a single integrated framework. This tool supports browsing clinical data in many different formats including multiple versions of the 'OMOP' common data model as well as the 'MIMIC-III' data model. In addition, chart review information is captured and stored securely via the Shiny interface in a 'REDCap' (Research Electronic Data Capture) project using the 'REDCap' API. See the 'ReviewR' website for additional information, documentation, and examples.
License: BSD_3_clause + file LICENSE
URL: https://reviewr.thewileylab.org/, https://github.com/thewileylab/ReviewR/
BugReports: https://github.com/thewileylab/ReviewR/issues
Depends: R (>= 3.5.0)
Imports: bigrquery (>= 1.2.0), config, dashboardthemes, DBI, dbplyr, dplyr (>= 1.0.0), DT, gargle, glue, golem, httr, jsonlite, magrittr, pkgload, purrr, redcapAPI, REDCapR, rlang (>= 0.4.7), RPostgres, RSQLite, shiny (>= 1.5.0), shinycssloaders (>= 1.0.0), shinydashboard, shinydashboardPlus (>= 2.0.0), shinyjs, shinyWidgets (>= 0.6.0), snakecase, stringr, tibble, tidyr (>= 1.1.0)
Suggests: fs, gt, here, htmltools, knitr, processx, readr, rmarkdown, rstudioapi, spelling, testthat (>= 2.1.0), usethis
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
LazyData: true
NeedsCompilation: no
Packaged: 2021-04-01 16:17:32 UTC; MayerDav
Author: Laura Wiley [aut] (<https://orcid.org/0000-0001-6681-9754>), Luke Rasmussen [aut] (<https://orcid.org/0000-0002-4497-8049>), David Mayer [cre, aut], The Wiley Lab [cph, fnd]
Maintainer: David Mayer <david.mayer@cuanschutz.edu>
Repository: CRAN
Date/Publication: 2021-04-02 11:30:05 UTC

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Package inspectdf updated to version 0.0.11 with previous version 0.0.10 dated 2021-02-20

Title: Inspection, Comparison and Visualisation of Data Frames
Description: A collection of utilities for columnwise summary, comparison and visualisation of data frames. Functions report missingness, categorical levels, numeric distribution, correlation, column types and memory usage.
Author: Alastair Rushworth [aut, cre], David Wilkins [ctb]
Maintainer: Alastair Rushworth <alastairmrushworth@gmail.com>

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Package synthesis updated to version 1.2.1 with previous version 1.2.0 dated 2020-11-05

Title: Generate Synthetic Data from Statistical Models
Description: Generate synthetic time series from commonly used statistical models, including linear, nonlinear and chaotic systems. Applications to testing methods can be found in Jiang, Z., Sharma, A., & Johnson, F. (2019) <doi:10.1016/j.advwatres.2019.103430> and Jiang, Z., Sharma, A., & Johnson, F. (2020) <doi:10.1029/2019WR026962> associated with an open-source tool by Jiang, Z., Rashid, M. M., Johnson, F., & Sharma, A. (2020) <doi:10.1016/j.envsoft.2020.104907>.
Author: Ze Jiang [aut, cre] (<https://orcid.org/0000-0002-3472-0829>)
Maintainer: Ze Jiang <ze.jiang@unsw.edu.au>

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New package sovereign with initial version 1.0.0
Package: sovereign
Title: State-Dependent Empirical Analysis
Version: 1.0.0
Authors@R: person(given = "Tyler J.", family = "Pike", role = c("aut", "cre"), email = "tjpike7@gmail.com")
Description: A set of tools for state-dependent empirical analysis through both VAR- and local projection-based state-dependent forecasts, impulse response functions, and forecast error variance decomposition.
License: GPL-3
URL: https://github.com/tylerJPike/sovereign, https://tylerjpike.github.io/sovereign/
BugReports: https://github.com/tylerJPike/sovereign/issues
Encoding: UTF-8
Imports: broom, dplyr, ggplot2, gridExtra, lmtest, lubridate, magrittr, mclust, purrr, randomForest, sandwich, stats, stringr, strucchange, tidyr, xts, zoo
Suggests: testthat, knitr, rmarkdown, quantmod, covr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-04-01 11:47:39 UTC; tjpik
Author: Tyler J. Pike [aut, cre]
Maintainer: Tyler J. Pike <tjpike7@gmail.com>
Repository: CRAN
Date/Publication: 2021-04-02 09:20:02 UTC

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New package mcunit with initial version 0.3.2
Package: mcunit
Title: Unit Tests for MC Methods
Version: 0.3.2
Maintainer: Axel Gandy <a.gandy@imperial.ac.uk>
Authors@R: c(person(given = "Axel", family = "Gandy", role = c("aut", "cre"), email = "a.gandy@imperial.ac.uk"), person(given="James", family="Scott", role=c("aut"), email= "james.scott15@imperial.ac.uk"))
Description: Unit testing for Monte Carlo methods, particularly Markov Chain Monte Carlo (MCMC) methods, are implemented as extensions of the 'testthat' package. The MCMC methods check whether the MCMC chain has the correct invariant distribution. They do not check other properties of successful samplers such as whether the chain can reach all points, i.e. whether is recurrent. The tests require the ability to sample from the prior and to run steps of the MCMC chain. The methodology is described in Gandy and Scott (2020) <arXiv:2001.06465>.
URL: https://bitbucket.org/agandy/mcunit/
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.1)
Imports: testthat (>= 2.3), stats, rlang, Rdpack (>= 0.7), methods, simctest (>= 2.6)
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
RdMacros: Rdpack
NeedsCompilation: no
Packaged: 2021-04-01 13:43:14 UTC; jamesscott
Author: Axel Gandy [aut, cre], James Scott [aut]
Repository: CRAN
Date/Publication: 2021-04-02 09:50:02 UTC

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Package lwgeom updated to version 0.2-6 with previous version 0.2-5 dated 2020-06-12

Title: Bindings to Selected 'liblwgeom' Functions for Simple Features
Description: Access to selected functions found in 'liblwgeom' <https://github.com/postgis/postgis/tree/master/liblwgeom>, the light-weight geometry library used by 'PostGIS' <http://postgis.net/>.
Author: Edzer Pebesma [aut, cre] (<https://orcid.org/0000-0001-8049-7069>), Colin Rundel [ctb], Andy Teucher [ctb], liblwgeom developers [cph]
Maintainer: Edzer Pebesma <edzer.pebesma@uni-muenster.de>

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New package ENMTools with initial version 1.0.3
Package: ENMTools
Title: Analysis of Niche Evolution using Niche and Distribution Models
Version: 1.0.3
Date: 2021-03-28
Encoding: UTF-8
Authors@R: c(person(given = "Dan", family = "Warren", role = c("aut", "cre"), email = "dan.l.warren@gmail.com", comment = c(ORCID = "0000-0002-8747-2451")), person(given = "Nick", family = "Matzke", role = "ctb", email = "nick.matzke@anu.edu.au"), person(given = "Marcel", family = "Cardillo", role = "ctb", email = "marcel.cardillo@anu.edu.au"), person(given = "John", family = "Baumgartner", role = "ctb"), person(given = "Linda", family = "Beaumont", role = "ctb"), person(given = "Nicholas", family = "Huron", role = "ctb"), person(given = "Marianna", family = "Simoes", role = "ctb"), person(given = "Teresa", family = "Iglesias", role = "ctb"), person(given = "Russell", family = "Dinnage", role = "aut", email = "r.dinnage@gmail.com", comment = c(ORCID = "0000-0003-0846-2819")))
Maintainer: Dan Warren <dan.l.warren@gmail.com>
Description: Description: Tools for constructing niche models and analyzing patterns of niche evolution. Acts as an interface for many popular modeling algorithms, and allows users to conduct Monte Carlo tests to address basic questions in evolutionary ecology and biogeography. Warren, D.L., R.E. Glor, and M. Turelli (2008) <doi:10.1111/j.1558-5646.2008.00482.x> Glor, R.E., and D.L. Warren (2011) <doi:10.1111/j.1558-5646.2010.01177.x> Warren, D.L., R.E. Glor, and M. Turelli (2010) <doi:10.1111/j.1600-0587.2009.06142.x> Cardillo, M., and D.L. Warren (2016) <doi:10.1111/geb.12455> D.L. Warren, L.J. Beaumont, R. Dinnage, and J.B. Baumgartner (2019) <doi:10.1111/ecog.03900>.
License: GPL-2
LazyData: TRUE
Imports: rgeos, knitr, ggplot2, gridExtra, lhs, magrittr, ENMeval, sp, spatstat.geom, spatstat.core, spatstat (>= 2.0-0), ggpubr, rgdal, forcats
Depends: raster, dismo
Suggests: testthat, hypervolume, leaflet, mgcv, ecospat, randomForest, ranger, caret, CalibratR, ape, ResourceSelection, fields, reshape2, vip, pdp, fastshap, viridis, progress
NeedsCompilation: no
Packaged: 2021-03-28 04:40:57 UTC; danwarren
Author: Dan Warren [aut, cre] (<https://orcid.org/0000-0002-8747-2451>), Nick Matzke [ctb], Marcel Cardillo [ctb], John Baumgartner [ctb], Linda Beaumont [ctb], Nicholas Huron [ctb], Marianna Simoes [ctb], Teresa Iglesias [ctb], Russell Dinnage [aut] (<https://orcid.org/0000-0003-0846-2819>)
Repository: CRAN
Date/Publication: 2021-04-02 09:10:06 UTC

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New package Rforestry with initial version 0.9.0.4
Package: Rforestry
Title: Random Forests, Linear Trees, and Gradient Boosting for Inference and Interpretability
Version: 0.9.0.4
Authors@R: c( person("Sören", "Künzel", role = "aut"), person("Theo", "Saarinen", role = c("aut","cre"), email = "theo_s@berkeley.edu"), person("Simon", "Walter", role = "aut"), person("Edward", "Liu", role = "aut"), person("Allen", "Tang", role = "aut"), person("Jasjeet", "Sekhon", role = "aut") )
Maintainer: Theo Saarinen <theo_s@berkeley.edu>
BugReports: https://github.com/forestry-labs/Rforestry/issues
URL: https://github.com/forestry-labs/Rforestry
Description: Provides fast implementations of Honest Random Forests, Gradient Boosting, and Linear Random Forests, with an emphasis on inference and interpretability. Additionally contains methods for variable importance, out-of-bag prediction, regression monotonicity, and several methods for missing data imputation. Soren R. Kunzel, Theo F. Saarinen, Edward W. Liu, Jasjeet S. Sekhon (2019) <arXiv:1906.06463>.
License: GPL (>= 3)
Encoding: UTF-8
Imports: Rcpp (>= 0.12.9), parallel, methods, visNetwork, glmnet, grDevices, onehot
LinkingTo: Rcpp, RcppArmadillo, RcppThread
SystemRequirements: C++11
Suggests: testthat, knitr, rmarkdown, mvtnorm
Collate: 'R_preprocessing.R' 'RcppExports.R' 'forestry.R' 'backwards_compatible.R' 'compute_rf_lp.R' 'neighborhood_imputation.R' 'plottree.R'
NeedsCompilation: yes
Packaged: 2021-03-31 21:18:53 UTC; theo
Author: Sören Künzel [aut], Theo Saarinen [aut, cre], Simon Walter [aut], Edward Liu [aut], Allen Tang [aut], Jasjeet Sekhon [aut]
Repository: CRAN
Date/Publication: 2021-04-02 08:30:02 UTC

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New package RCMinification with initial version 1.0
Package: RCMinification
Version: 1.0
Title: Random Coefficient Minification Time Series Models
Authors@R: c(person("L.", "Han", role = c("aut", "cre"), email = "lengyi.han@ubc.ca"))
Author: L. Han [aut, cre]
Maintainer: L. Han <lengyi.han@ubc.ca>
Description: Functions and data sets for simulating and fitting minification and random coefficient minification time series models. The nth term in the model X[n] is a nonnegative random variable defined as A[n]*min(X[n-1], Y[n]), where the A's and Y's are sequences of independent random variables. Example data sets are provided where this kind of model can be justified on physical grounds and fits well. Functions for simulating minification time series and for maximum likelihood estimation are included. More information can be found in Han, Braun and Loeppky (2018) <doi:10.1007/s00362-018-1000-6>.
LazyLoad: true
LazyData: true
ZipData: no
License: Unlimited
NeedsCompilation: no
Packaged: 2021-03-31 19:15:40 UTC; braun
Repository: CRAN
Date/Publication: 2021-04-02 08:20:05 UTC

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New package HistDat with initial version 0.1.0
Package: HistDat
Title: Summary Statistics for Histogram/Count Data
Version: 0.1.0
Author: Michael Milton
Maintainer: Michael Milton <michael.r.milton@gmail.com>
Description: In some cases you will have data in a histogram format, where you have a vector of all possible observations, and a vector of how many times each observation appeared. You could expand this into a single 1D vector, but this may not be advisable if the counts are extremely large. 'HistDat' allows for the calculation of summary statistics without the need for expanding your data.
License: GPL (>= 3)
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Imports: methods, stats
NeedsCompilation: no
Packaged: 2021-03-31 05:39:38 UTC; michael
Repository: CRAN
Date/Publication: 2021-04-02 08:50:02 UTC

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New package caROC with initial version 0.1.5
Package: caROC
Title: Continuous Biomarker Evaluation with Adjustment of Covariates
Version: 0.1.5
Author: Ziyi Li
Maintainer: Ziyi Li <zli16@mdanderson.org>
Description: Compute covariate-adjusted specificity at controlled sensitivity level, or covariate-adjusted sensitivity at controlled specificity level, or covariate-adjust receiver operating characteristic curve, or covariate-adjusted thresholds at controlled sensitivity/specificity level. All statistics could also be computed for specific sub-populations given their covariate values. Methods are described in Ziyi Li, Yijian Huang, Datta Patil, Martin G. Sanda (2021+) "Covariate adjustment in continuous biomarker assessment".
License: GPL-2
Encoding: UTF-8
Depends: R (>= 4.0), quantreg, RColorBrewer
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-03-31 20:16:31 UTC; zli16
Repository: CRAN
Date/Publication: 2021-04-02 08:20:03 UTC

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Package matrixNormal updated to version 0.0.5 with previous version 0.0.4 dated 2020-08-26

Title: The Matrix Normal Distribution
Description: Computes densities, probabilities, and random deviates of the Matrix Normal (Iranmanesh et al. (2010) <doi:10.7508/ijmsi.2010.02.004>). Also includes simple but useful matrix functions. See the vignette for more information.
Author: Paul M. Hargarten [aut, cre]
Maintainer: Paul M. Hargarten <hargartenp@vcu.edu>

Diff between matrixNormal versions 0.0.4 dated 2020-08-26 and 0.0.5 dated 2021-04-02

 DESCRIPTION                                        |    8 +--
 MD5                                                |    8 +--
 NEWS.md                                            |   25 ++++++----
 build/vignette.rds                                 |binary
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New package joyn with initial version 0.0.1
Package: joyn
Title: Tool for Diagnosis of Tables Joins and Complementary Join Features
Version: 0.0.1
Authors@R: person("R.Andres", "Castaneda", email = "acastanedaa@worldbank.org", role = c("aut", "cre"))
Description: Tool for diagnosis of joins of data frames. It combines the speed `data.table`, the flexibility of `dplyr`, and the diagnosis and features of the `merge` command in `Stata`.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
URL: https://github.com/randrescastaneda/joyn
BugReports: https://github.com/randrescastaneda/joyn/issues
Suggests: covr, janitor, knitr, rmarkdown, testthat (>= 3.0.0)
Imports: rlang, data.table, glue, cli, stats
Depends: R (>= 2.10)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-03-31 14:18:55 UTC; wb384996
Author: R.Andres Castaneda [aut, cre]
Maintainer: R.Andres Castaneda <acastanedaa@worldbank.org>
Repository: CRAN
Date/Publication: 2021-04-02 07:30:02 UTC

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Package gargle updated to version 1.1.0 with previous version 1.0.0 dated 2021-03-03

Title: Utilities for Working with Google APIs
Description: Provides utilities for working with Google APIs <https://developers.google.com/apis-explorer>. This includes functions and classes for handling common credential types and for preparing, executing, and processing HTTP requests.
Author: Jennifer Bryan [aut, cre] (<https://orcid.org/0000-0002-6983-2759>), Craig Citro [aut], Hadley Wickham [aut] (<https://orcid.org/0000-0003-4757-117X>), Google Inc [cph], RStudio [cph, fnd]
Maintainer: Jennifer Bryan <jenny@rstudio.com>

Diff between gargle versions 1.0.0 dated 2021-03-03 and 1.1.0 dated 2021-04-02

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 gargle-1.0.0/gargle/tests/testthat/test-oauth-token.R                                                        |only
 gargle-1.0.0/gargle/tests/testthat/test-response-process.R                                                   |only
 gargle-1.1.0/gargle/DESCRIPTION                                                                              |   18 
 gargle-1.1.0/gargle/MD5                                                                                      |  171 ++---
 gargle-1.1.0/gargle/NAMESPACE                                                                                |    6 
 gargle-1.1.0/gargle/NEWS.md                                                                                  |   81 ++
 gargle-1.1.0/gargle/R/AuthState-class.R                                                                      |   32 -
 gargle-1.1.0/gargle/R/Gargle-class.R                                                                         |   94 ++-
 gargle-1.1.0/gargle/R/aaa.R                                                                                  |only
 gargle-1.1.0/gargle/R/compat-purrr.R                                                                         |    5 
 gargle-1.1.0/gargle/R/conditions.R                                                                           |   60 +
 gargle-1.1.0/gargle/R/credential-function-registry.R                                                         |   15 
 gargle-1.1.0/gargle/R/credentials_app_default.R                                                              |    8 
 gargle-1.1.0/gargle/R/credentials_byo_oauth2.R                                                               |   12 
 gargle-1.1.0/gargle/R/credentials_gce.R                                                                      |   11 
 gargle-1.1.0/gargle/R/credentials_service_account.R                                                          |   14 
 gargle-1.1.0/gargle/R/credentials_user_oauth2.R                                                              |    2 
 gargle-1.1.0/gargle/R/field-mask.R                                                                           |    2 
 gargle-1.1.0/gargle/R/gargle-oauth-app.R                                                                     |    1 
 gargle-1.1.0/gargle/R/gargle-package.R                                                                       |   15 
 gargle-1.1.0/gargle/R/inside-the-house.R                                                                     |   23 
 gargle-1.1.0/gargle/R/oauth-app.R                                                                            |    3 
 gargle-1.1.0/gargle/R/oauth-cache.R                                                                          |  304 +++++++---
 gargle-1.1.0/gargle/R/oauth-refresh.R                                                                        |only
 gargle-1.1.0/gargle/R/request-develop.R                                                                      |    4 
 gargle-1.1.0/gargle/R/request-make.R                                                                         |    2 
 gargle-1.1.0/gargle/R/request_retry.R                                                                        |   35 -
 gargle-1.1.0/gargle/R/response_process.R                                                                     |   94 ++-
 gargle-1.1.0/gargle/R/secret.R                                                                               |   10 
 gargle-1.1.0/gargle/R/sysdata.rda                                                                            |binary
 gargle-1.1.0/gargle/R/token-fetch.R                                                                          |    6 
 gargle-1.1.0/gargle/R/ui.R                                                                                   |  127 +++-
 gargle-1.1.0/gargle/R/utils.R                                                                                |   20 
 gargle-1.1.0/gargle/README.md                                                                                |    9 
 gargle-1.1.0/gargle/inst/WORDLIST                                                                            |   66 +-
 gargle-1.1.0/gargle/inst/doc/auth-from-web.Rmd                                                               |    4 
 gargle-1.1.0/gargle/inst/doc/auth-from-web.html                                                              |    4 
 gargle-1.1.0/gargle/inst/doc/how-gargle-gets-tokens.Rmd                                                      |    2 
 gargle-1.1.0/gargle/inst/doc/how-gargle-gets-tokens.html                                                     |    2 
 gargle-1.1.0/gargle/inst/doc/non-interactive-auth.R                                                          |    4 
 gargle-1.1.0/gargle/inst/doc/non-interactive-auth.Rmd                                                        |   14 
 gargle-1.1.0/gargle/inst/doc/non-interactive-auth.html                                                       |   12 
 gargle-1.1.0/gargle/inst/doc/troubleshooting.R                                                               |   37 -
 gargle-1.1.0/gargle/inst/doc/troubleshooting.Rmd                                                             |  143 +++-
 gargle-1.1.0/gargle/inst/doc/troubleshooting.html                                                            |  131 +++-
 gargle-1.1.0/gargle/man/AuthState-class.Rd                                                                   |   12 
 gargle-1.1.0/gargle/man/Gargle-class.Rd                                                                      |   18 
 gargle-1.1.0/gargle/man/gargle_app.Rd                                                                        |    1 
 gargle-1.1.0/gargle/man/gargle_oauth_sitrep.Rd                                                               |    4 
 gargle-1.1.0/gargle/man/gargle_options.Rd                                                                    |   44 +
 gargle-1.1.0/gargle/man/request_retry.Rd                                                                     |    2 
 gargle-1.1.0/gargle/man/response_process.Rd                                                                  |   18 
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 gargle-1.1.0/gargle/tests/testthat/fixtures/tokeninfo-stale_400.rds                                          |binary
 gargle-1.1.0/gargle/tests/testthat/helper.R                                                                  |   20 
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 gargle-1.1.0/gargle/tests/testthat/test-Gargle-class.R                                                       |only
 gargle-1.1.0/gargle/tests/testthat/test-assets.R                                                             |    5 
 gargle-1.1.0/gargle/tests/testthat/test-credentials-byo-oauth2.R                                             |    4 
 gargle-1.1.0/gargle/tests/testthat/test-credentials_app_default.R                                            |   44 -
 gargle-1.1.0/gargle/tests/testthat/test-gce-token.R                                                          |    7 
 gargle-1.1.0/gargle/tests/testthat/test-oauth-app.R                                                          |   12 
 gargle-1.1.0/gargle/tests/testthat/test-oauth-cache.R                                                        |  194 ++++--
 gargle-1.1.0/gargle/tests/testthat/test-registry.R                                                           |    4 
 gargle-1.1.0/gargle/tests/testthat/test-request-develop.R                                                    |   20 
 gargle-1.1.0/gargle/tests/testthat/test-request-make.R                                                       |    8 
 gargle-1.1.0/gargle/tests/testthat/test-request_retry.R                                                      |  148 +++-
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 gargle-1.1.0/gargle/tests/testthat/test-utils.R                                                              |   16 
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 gargle-1.1.0/gargle/vignettes/how-gargle-gets-tokens.Rmd                                                     |    2 
 gargle-1.1.0/gargle/vignettes/non-interactive-auth.Rmd                                                       |   14 
 gargle-1.1.0/gargle/vignettes/troubleshooting.Rmd                                                            |  143 +++-
 94 files changed, 1638 insertions(+), 711 deletions(-)

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New package cif with initial version 0.0.9
Package: cif
Title: Cointegrated ICU Forecasting
Description: Set of forecasting tools to predict ICU beds using a Vector Error Correction model with a single cointegrating vector. Method described in Berta, P. Lovaglio, P.G. Paruolo, P. Verzillo, S., 2020. "Real Time Forecasting of Covid-19 Intensive Care Units demand" Health, Econometrics and Data Group (HEDG) Working Papers 20/16, HEDG, Department of Economics, University of York, <https://www.york.ac.uk/media/economics/documents/hedg/workingpapers/2020/2016.pdf>.
Version: 0.0.9
Date: 2021-03-31
Authors@R: c( person("Paolo","Berta",email="paolo.berta@unimib.it", role=c("aut")), person("Paolo","Paruolo",email="Paolo.PARUOLO@ec.europa.eu", role=c("aut", "cre"),comment=c(ORCID = "0000-0002-3982-4889")), person("Stefano","Verzillo",email="Stefano.VERZILLO@ec.europa.eu", role=c("ctb")), person("Pietro Giorgio","Lovaglio",email="piergiorgio.lovaglio@unimib.it", role=c("ctb")) )
Maintainer: Paolo Paruolo <Paolo.PARUOLO@ec.europa.eu>
Encoding: UTF-8
Depends: R (>= 3.6.0)
License: GPL-3
Imports: stats, lubridate, graphics, grDevices
LazyData: true
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2021-03-31 14:09:20 UTC; paoloberta
Author: Paolo Berta [aut], Paolo Paruolo [aut, cre] (<https://orcid.org/0000-0002-3982-4889>), Stefano Verzillo [ctb], Pietro Giorgio Lovaglio [ctb]
Repository: CRAN
Date/Publication: 2021-04-02 07:30:05 UTC

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Package RXshrink updated to version 2.0 with previous version 1.7 dated 2021-02-04

Title: Maximum Likelihood Shrinkage using Generalized Ridge or Least Angle Regression
Description: Functions are provided to calculate and display ridge TRACE diagnostics for a wide variety of alternative shrinkage Paths. While all methods focus on Maximum Likelihood estimation of unknown true effects under Normal-distribution theory, some estimates are modified to be Unbiased or to have "Correct Range" when estimating either [1] the noncentrality of the F-ratio for testing that true Beta coefficients are Zeros or [2] the "relative" MSE Risk (i.e. MSE divided by true sigma-square, where the "relative" variance of OLS is known.) The eff.ridge() function implements the "Efficient Shrinkage Path" introduced in Obenchain (2021) <arXiv:2103.05161>. This new "p-Parameter" Shrinkage-Path always passes through the vector of regression coefficient estimates Most-Likely to achieve the overall Optimal Variance-Bias Trade-Off and is the shortest Path with this property. Functions eff.aug() and eff.biv() augment the calculations made by eff.ridge() to provide plots of the bivariate confidence ellipses corresponding to any of the p*(p-1) possible ordered pairs of shrunken regression coefficients.
Author: Bob Obenchain
Maintainer: Bob Obenchain <wizbob@att.net>

Diff between RXshrink versions 1.7 dated 2021-02-04 and 2.0 dated 2021-04-02

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 NAMESPACE               |    8 ++---
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Package crossmap updated to version 0.3.0 with previous version 0.2.0 dated 2020-09-24

Title: Apply Functions to All Combinations of List Elements
Description: Provides an extension to the 'purrr' family of mapping functions to apply a function to each combination of elements in a list of inputs. Also includes functions for automatically detecting output type in mapping functions, finding every combination of elements of lists or rows of data frames, and applying multiple models to multiple subsets of a dataset.
Author: Alexander Rossell Hayes [aut, cre, cph] (<https://orcid.org/0000-0001-9412-0457>)
Maintainer: Alexander Rossell Hayes <alexander@rossellhayes.com>

Diff between crossmap versions 0.2.0 dated 2020-09-24 and 0.3.0 dated 2021-04-02

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Package thunder (with last version 0.0.12) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2021-03-18 0.0.12

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Package rdefra (with last version 0.3.8) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2020-04-06 0.3.8

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Package ICAMS (with last version 2.2.4) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2020-09-22 2.2.4
2020-09-18 2.2.3
2020-04-21 2.1.2
2019-12-13 2.0.10
2019-07-24 2.0.8
2019-07-11 2.0.7

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Thu, 01 Apr 2021

Package tsBSS updated to version 0.5.7 with previous version 0.5.6 dated 2020-11-18

Title: Blind Source Separation and Supervised Dimension Reduction for Time Series
Description: Different estimators are provided to solve the blind source separation problem for multivariate time series with stochastic volatility (Matilainen, Nordhausen and Oja (2015) <doi:10.1016/j.spl.2015.04.033>; Matilainen, Miettinen, Nordhausen, Oja and Taskinen (2017) <doi:10.17713/ajs.v46i3-4.671>) and supervised dimension reduction problem for multivariate time series (Matilainen, Croux, Nordhausen and Oja (2017) <doi:10.1016/j.ecosta.2017.04.002>). Different functions based on AMUSE and SOBI are also provided for estimating the dimension of the white noise subspace.
Author: Markus Matilainen [cre, aut] (<https://orcid.org/0000-0002-5597-2670>), Christophe Croux [aut], Jari Miettinen [aut] (<https://orcid.org/0000-0002-3270-7014>), Klaus Nordhausen [aut] (<https://orcid.org/0000-0002-3758-8501>), Hannu Oja [aut], Sara Taskinen [aut] (<https://orcid.org/0000-0001-9470-7258>), Joni Virta [aut] (<https://orcid.org/0000-0002-2150-2769>)
Maintainer: Markus Matilainen <markus.matilainen@outlook.com>

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Package rmcorr updated to version 0.4.3 with previous version 0.4.2 dated 2021-03-30

Title: Repeated Measures Correlation
Description: Compute the repeated measures correlation, a statistical technique for determining the overall within-individual relationship among paired measures assessed on two or more occasions, first introduced by Bland and Altman (1995). Includes functions for diagnostics, p-value, effect size with confidence interval including optional bootstrapping, as well as graphing. Also includes several example datasets. For more details, see Bakdash and Marusich (2017) <doi:10.3389/fpsyg.2017.00456>.
Author: Jonathan Z. Bakdash, Laura R. Marusich
Maintainer: Laura R. Marusich <laura.m.cooper20.civ@mail.mil>

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Package RcmdrPlugin.UCA updated to version 4.4-2 with previous version 4.3-4 dated 2021-03-01

Title: UCA Rcmdr Plug-in
Description: Some extensions to Rcmdr (R Commander), randomness test, variance test for one normal sample and predictions using active model, made by R-UCA project and used in teaching statistics at University of Cadiz (UCA).
Author: Manuel Munoz-Marquez <manuel.munoz@uca.es>
Maintainer: Manuel Munoz-Marquez <manuel.munoz@uca.es>

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New package rbiorxiv with initial version 0.2.1
Package: rbiorxiv
Title: Client for the 'bioRxiv' API
Version: 0.2.1
Authors@R: c(person("Nicholas", "Fraser", email = "nicholasmfraser@gmail.com", role = c("aut", "cre")))
Description: R client for interacting with the 'bioRxiv' API <https://api.biorxiv.org/>. Functions include retrieving metadata of 'bioRxiv' and 'medRxiv' preprints, details of published papers associated with preprints, and summary and usage statistics.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
URL: https://github.com/nicholasmfraser/rbiorxiv
BugReports: https://github.com/nicholasmfraser/rbiorxiv/issues
Imports: httr (>= 1.4.0), jsonlite (>= 1.6.0), curl (>= 4.3)
Suggests: spelling, testthat (>= 2.1.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-04-01 14:46:36 UTC; Fraser Nicholas
Author: Nicholas Fraser [aut, cre]
Maintainer: Nicholas Fraser <nicholasmfraser@gmail.com>
Repository: CRAN
Date/Publication: 2021-04-01 22:00:03 UTC

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Package PSweight updated to version 1.1.4 with previous version 1.1.3 dated 2021-02-25

Title: Propensity Score Weighting for Causal Inference with Observational Studies and Randomized Trials
Description: Supports propensity score weighting analysis of observational studies and randomized trials. Enables the estimation and inference of average causal effects with binary and multiple treatments using overlap weights (ATO), inverse probability of treatment weights (ATE), average treatment effect among the treated weights (ATT), matching weights (ATM) and entropy weights (ATEN), with and without propensity score trimming. These weights are members of the family of balancing weights introduced in Li, Morgan and Zaslavsky (2018) <doi:10.1080/01621459.2016.1260466> and Li and Li (2019) <doi:10.1214/19-AOAS1282>.
Author: Tianhui Zhou [aut, cre], Guangyu Tong [aut], Fan Li [aut], Laine Thomas [aut], Fan Li [aut]
Maintainer: Tianhui Zhou <tianhui.zhou@duke.edu>

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Package microbial updated to version 0.0.19 with previous version 0.0.18 dated 2021-03-31

Title: Do 16s Data Analysis and Generate Figures
Description: Provides functions to enhance the available statistical analysis procedures in R by providing simple functions to analysis and visualize the 16S rRNA data.Here we present a tutorial with minimum working examples to demonstrate usage and dependencies.
Author: Kai Guo [aut, cre], Pan Gao [aut]
Maintainer: Kai Guo <guokai8@gmail.com>

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Package LAWBL updated to version 1.4.0 with previous version 1.3.0 dated 2020-11-03

Title: Latent (Variable) Analysis with Bayesian Learning
Description: A variety of models to analyze latent variables based on Bayesian learning: the partially CFA (Chen, Guo, Zhang, & Pan, 2020) <DOI: 10.1037/met0000293>; generalized PCFA; partially confirmatory IRM (Chen, 2020) <DOI: 10.1007/s11336-020-09724-3>; Bayesian regularized EFA <DOI: 10.1080/10705511.2020.1854763>; Fully and partially EFA.
Author: Jinsong Chen [aut, cre, cph]
Maintainer: Jinsong Chen <jinsong.chen@live.com>

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Package gh updated to version 1.2.1 with previous version 1.2.0 dated 2020-11-27

Title: 'GitHub' 'API'
Description: Minimal client to access the 'GitHub' 'API'.
Author: Gábor Csárdi [cre, ctb], Jennifer Bryan [aut], Hadley Wickham [aut], RStudio [cph, fnd]
Maintainer: Gábor Csárdi <csardi.gabor@gmail.com>

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Package EValue updated to version 4.1.2 with previous version 4.1.1 dated 2021-01-04

Title: Sensitivity Analyses for Unmeasured Confounding and Other Biases in Observational Studies and Meta-Analyses
Description: Conducts sensitivity analyses for unmeasured confounding, selection bias, and measurement error (individually or in combination; VanderWeele & Ding (2017) <doi:10.7326/M16-2607>; Smith & VanderWeele (2019) <doi:10.1097/EDE.0000000000001032>; VanderWeele & Li (2019) <doi:10.1093/aje/kwz133>; Smith & VanderWeele (2021) <arXiv:2005.02908>). Also conducts sensitivity analyses for unmeasured confounding in meta-analyses (Mathur & VanderWeele (2020a) <doi:10.1080/01621459.2018.1529598>; Mathur & VanderWeele (2020b) <doi:10.1097/EDE.0000000000001180>) and for additive measures of effect modification (Mathur et al., under review).
Author: Maya B. Mathur [cre, aut], Louisa H. Smith [aut], Peng Ding [aut], Tyler J. VanderWeele [aut]
Maintainer: Maya B. Mathur <mmathur@stanford.edu>

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Package diversityForest updated to version 0.3.0 with previous version 0.2.0 dated 2020-01-29

Title: Complex Split Procedures in Random Forests Through Candidate Split Sampling
Description: Implements interaction forests [1], which are specific diversity forests, and the basic form of diversity forests that uses univariable, binary splitting [2]. Interaction forests (IFs) are ensembles of decision trees that model quantitative and qualitative interaction effects using bivariable splitting. IFs come with the Effect Importance Measure (EIM), which can be used to identify variable pairs that feature quantitative and qualitative interaction effects with high predictive relevance. IFs and EIM focus on well interpretable forms of interactions. The package also offers plot functions for visualising the estimated forms of interaction effects. Categorical, metric, and survival outcomes are supported. This is a fork of the R package 'ranger' (main author: Marvin N. Wright) that implements random forests using an efficient C++ implementation. References: [1] Hornung, R. & Boulesteix, A.-L. (2021) Interaction Forests: Identifying and exploiting interpretable quantitative and qualitative interaction effects. Technical Report No. 237, Department of Statistics, University of Munich [2] Hornung, R. (2020) Diversity Forests: Using split sampling to allow for complex split procedures in random forest. Technical Report No. 234, Department of Statistics, University of Munich.
Author: Roman Hornung [aut, cre], Marvin N. Wright [ctb, cph]
Maintainer: Roman Hornung <hornung@ibe.med.uni-muenchen.de>

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New package ecb with initial version 0.4.0
Package: ecb
Title: Programmatic Access to the European Central Bank's Statistical Data Warehouse
Version: 0.4.0
Date: 2021-04-01
Authors@R: person("Eric", "Persson", email = "expersso5@gmail.com", role = c("aut", "cre"))
Description: Provides an interface to the European Central Bank's Statistical Data Warehouse API, allowing for programmatic retrieval of a vast quantity of statistical data.
License: CC0
URL: https://sdw.ecb.europa.eu/
Suggests: knitr, rmarkdown, dplyr, lubridate, ggplot2, testthat, zoo
Imports: curl, rsdmx, xml2, httr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-04-01 19:56:50 UTC; persson
Author: Eric Persson [aut, cre]
Maintainer: Eric Persson <expersso5@gmail.com>
Repository: CRAN
Date/Publication: 2021-04-01 21:30:06 UTC

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Package deepdive updated to version 1.0.2 with previous version 1.0.1 dated 2020-03-26

Title: Deep Learning for General Purpose
Description: Aims to provide simple intuitive functions to create quick prototypes of artificial neural network or deep learning models. In addition novel ensemble models like 'deeptree' and 'deepforest' has been included which combines decision trees and neural network.
Author: Rajesh Balakrishnan
Maintainer: Rajesh Balakirshnan <rajeshbalakrishnan24@gmail.com>

Diff between deepdive versions 1.0.1 dated 2020-03-26 and 1.0.2 dated 2021-04-01

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Package samc updated to version 1.3.0 with previous version 1.2.1 dated 2020-11-02

Title: Spatial Absorbing Markov Chains
Description: Implements functions for working with absorbing Markov chains. The implementation is based on the framework described in "Toward a unified framework for connectivity that disentangles movement and mortality in space and time" by Fletcher et al. (2019) <doi:10.1111/ele.13333>, which applies them to spatial ecology. This framework incorporates both resistance and absorption with spatial absorbing Markov chains (SAMC) to provide several short-term and long-term predictions for metrics related to connectivity in landscapes. Despite the ecological context of the framework, this package can be used in any application of absorbing Markov chains.
Author: Andrew Marx [aut, cre, cph] (<https://orcid.org/0000-0002-7456-1631>), Robert Fletcher [ctb] (<https://orcid.org/0000-0003-1717-5707>), Miguel Acevedo [ctb] (<https://orcid.org/0000-0002-8289-1497>), Jorge Sefair [ctb] (<https://orcid.org/0000-0002-5887-8938>), Chao Wang [ctb] (<https://orcid.org/0000-0003-2706-5122>)
Maintainer: Andrew Marx <andrewjmarx@ufl.edu>

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Package marqLevAlg updated to version 2.0.5 with previous version 2.0.4 dated 2020-09-12

Title: A Parallelized General-Purpose Optimization Based on Marquardt-Levenberg Algorithm
Description: This algorithm provides a numerical solution to the problem of unconstrained local minimization (or maximization). It is particularly suited for complex problems and more efficient than the Gauss-Newton-like algorithm when starting from points very far from the final minimum (or maximum). Each iteration is parallelized and convergence relies on a stringent stopping criterion based on the first and second derivatives. See Philipps et al, 2020 <arXiv:2009.03840>.
Author: Viviane Philipps, Cecile Proust-Lima, Melanie Prague, Boris Hejblum, Daniel Commenges, Amadou Diakite
Maintainer: Viviane Philipps <viviane.philipps@u-bordeaux.fr>

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Package DET updated to version 3.0.0 with previous version 2.0.2 dated 2020-03-29

Title: Representation of DET Curve with Confidence Intervals
Description: Builds both ROC (Receiver Operating Characteristic) and DET (Detection Error Tradeoff) curves from a set of predictors, which are the results of a binary classification system. The curves give a general vision of the performance of the classifier, and are useful for comparing performance of different systems.
Author: García-Ródenas, Álvaro [aut, cre], Franco, Manuel [aut], Vivo, Juana-María [aut], Fernández-Breis, Jesualdo T. [aut], Font, Roberto [aut]
Maintainer: "García-Ródenas, Álvaro" <alvaro.garcia9@um.es>

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Package cocktailApp updated to version 0.2.2 with previous version 0.2.1 dated 2019-07-02

Title: 'shiny' App to Discover Cocktails
Description: A 'shiny' app to discover cocktails. The app allows one to search for cocktails by ingredient, filter on rating, and number of ingredients. The package also contains data with the ingredients of nearly 26 thousand cocktails scraped from the web.
Author: Steven E. Pav [aut, cre] (<https://orcid.org/0000-0002-4197-6195>)
Maintainer: Steven E. Pav <shabbychef@gmail.com>

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Package backbone updated to version 1.4.0 with previous version 1.3.1 dated 2021-02-16

Title: Extracts the Backbone from Weighted Graphs
Description: Provides methods for extracting from a weighted graph a binary or signed backbone that retains only the significant edges. The user may input a weighted graph, or a bipartite graph from which a weighted graph is first constructed via projection. Backbone extraction methods include the stochastic degree sequence model (Neal, Z. P. (2014). <doi:10.1016/j.socnet.2014.06.001>), hypergeometric model (Neal, Z. (2013). <doi:10.1007/s13278-013-0107-y>), the fixed degree sequence model (Zweig, K. A., and Kaufmann, M. (2011). <doi:10.1007/s13278-011-0021-0>), fixed column model, fixed fill model, as well as a universal threshold method.
Author: Rachel Domagalski [aut, cre], Zachary Neal [aut], Bruce Sagan [aut]
Maintainer: Rachel Domagalski <domagal9@msu.edu>

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Package smcfcs updated to version 1.5.0 with previous version 1.4.2 dated 2020-12-07

Title: Multiple Imputation of Covariates by Substantive Model Compatible Fully Conditional Specification
Description: Implements multiple imputation of missing covariates by Substantive Model Compatible Fully Conditional Specification. This is a modification of the popular FCS/chained equations multiple imputation approach, and allows imputation of missing covariate values from models which are compatible with the user specified substantive model.
Author: Jonathan Bartlett [aut, cre], Ruth Keogh [aut], Claus Thorn Ekstrøm [ctb], Edouard F. Bonneville [ctb]
Maintainer: Jonathan Bartlett <j.w.bartlett@bath.ac.uk>

Diff between smcfcs versions 1.4.2 dated 2020-12-07 and 1.5.0 dated 2021-04-01

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Package remotes updated to version 2.3.0 with previous version 2.2.0 dated 2020-07-21

Title: R Package Installation from Remote Repositories, Including 'GitHub'
Description: Download and install R packages stored in 'GitHub', 'GitLab', 'Bitbucket', 'Bioconductor', or plain 'subversion' or 'git' repositories. This package provides the 'install_*' functions in 'devtools'. Indeed most of the code was copied over from 'devtools'.
Author: Jim Hester [aut, cre], Gábor Csárdi [aut], Hadley Wickham [aut], Winston Chang [aut], RStudio [cph], Martin Morgan [aut], Dan Tenenbaum [aut], Mango Solutions [cph]
Maintainer: Jim Hester <jim.hester@rstudio.com>

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Package muhaz updated to version 1.2.6.3 with previous version 1.2.6.2 dated 2021-03-29

Title: Hazard Function Estimation in Survival Analysis
Description: Produces a smooth estimate of the hazard function for censored data.
Author: S original by Kenneth Hess, R port by R. Gentleman
Maintainer: David Winsemius <dwinsemius@comcast.net>

Diff between muhaz versions 1.2.6.2 dated 2021-03-29 and 1.2.6.3 dated 2021-04-01

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Package mrbayes updated to version 0.3.0 with previous version 0.2.0 dated 2020-05-28

Title: Bayesian Summary Data Models for Mendelian Randomization Studies
Description: Bayesian estimation of inverse variance weighted (IVW), Burgess et al. (2013) <doi:10.1002/gepi.21758>, and MR-Egger, Bowden et al. (2015) <doi:10.1093/ije/dyv080>, summary data models for Mendelian randomization analyses.
Author: Okezie Uche-Ikonne [aut, cre] (<https://orcid.org/0000-0002-8461-8099>), Frank Dondelinger [aut] (<https://orcid.org/0000-0003-1816-6300>), Tom Palmer [aut] (<https://orcid.org/0000-0003-4655-4511>)
Maintainer: Okezie Uche-Ikonne <o.uche-ikonne@lancaster.ac.uk>

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Package WriteXLS updated to version 6.3.0 with previous version 6.2.0 dated 2021-02-22

Title: Cross-Platform Perl Based R Function to Create Excel 2003 (XLS) and Excel 2007 (XLSX) Files
Description: Cross-platform Perl based R function to create Excel 2003 (XLS) and Excel 2007 (XLSX) files from one or more data frames. Each data frame will be written to a separate named worksheet in the Excel spreadsheet. The worksheet name will be the name of the data frame it contains or can be specified by the user.
Author: Marc Schwartz <marc_schwartz@me.com> and various authors for Perl modules listed in each .pm file.
Maintainer: Marc Schwartz <marc_schwartz@me.com>

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Package PDE updated to version 1.2.1 with previous version 1.1.2 dated 2020-11-26

Title: Extract Tables and Sentences from PDFs with User Interface
Description: The PDE (Pdf Data Extractor) allows the extraction of information and tables optionally based on search words from PDF (Portable Document Format) files and enables the visualization of the results, both by providing a convenient user-interface.
Author: Erik Stricker [aut, cre]
Maintainer: Erik Stricker <erik.stricker@gmx.com>

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Package bootImpute updated to version 1.2.0 with previous version 1.1.0 dated 2020-07-10

Title: Bootstrap Inference for Multiple Imputation
Description: Bootstraps and imputes incomplete datasets. Then performs inference on estimates obtained from analysing the imputed datasets as proposed by von Hippel and Bartlett (2019) <arXiv:1210.0870v10>.
Author: Jonathan Bartlett
Maintainer: Jonathan Bartlett <j.w.bartlett@bath.ac.uk>

Diff between bootImpute versions 1.1.0 dated 2020-07-10 and 1.2.0 dated 2021-04-01

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Package berryFunctions updated to version 1.20.1 with previous version 1.19.1 dated 2020-06-06

Title: Function Collection Related to Plotting and Hydrology
Description: Draw horizontal histograms, color scattered points by 3rd dimension, enhance date- and log-axis plots, zoom in X11 graphics, trace errors and warnings, use the unit hydrograph in a linear storage cascade, convert lists to data.frames and arrays, fit multiple functions.
Author: Berry Boessenkool
Maintainer: Berry Boessenkool <berry-b@gmx.de>

Diff between berryFunctions versions 1.19.1 dated 2020-06-06 and 1.20.1 dated 2021-04-01

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More information about berryFunctions at CRAN
Permanent link

Package httpgd updated to version 1.1.0 with previous version 1.0.1 dated 2021-01-21

Title: A 'HTTP' Server Graphics Device
Description: A graphics device for R that is accessible via network protocols. This package was created to make it easier to embed live R graphics in integrated development environments and other applications. The included 'HTML/JavaScript' client (plot viewer) aims to provide a better overall user experience when dealing with R graphics. The device asynchronously serves 'SVG' graphics via 'HTTP' and 'WebSockets'.
Author: Florian Rupprecht [aut, cre] (<https://orcid.org/0000-0002-1795-8624>), Kun Ren [ctb], Jeroen Ooms [ctb] (<https://orcid.org/0000-0002-4035-0289>), Hadley Wickham [cph] (Author of included svglite code), Lionel Henry [cph] (Author of included svglite code), Thomas Lin Pedersen [cph] (Author and creator of included svglite code), T Jake Luciani [cph] (Author of included svglite code), Matthieu Decorde [cph] (Author of included svglite code), Vaudor Lise [cph] (Author of included svglite code), Tony Plate [cph] (Contributor to included svglite code), David Gohel [cph] (Contributor to included svglite code), Yixuan Qiu [cph] (Contributor to included svglite code), Håkon Malmedal [cph] (Contributor to included svglite code), RStudio [cph] (Copyright holder of included svglite code), Brett Robinson [cph] (Author of included belle library), Google [cph] (Copyright holder of included material design icons), Victor Zverovich [cph] (Author of included fmt library)
Maintainer: Florian Rupprecht <floruppr@gmail.com>

Diff between httpgd versions 1.0.1 dated 2021-01-21 and 1.1.0 dated 2021-04-01

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 47 files changed, 4728 insertions(+), 2394 deletions(-)

More information about httpgd at CRAN
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Package chromoMap updated to version 0.3.1 with previous version 0.3 dated 2021-01-13

Title: Interactive Genomic Visualization of Biological Data
Description: Provides interactive, configurable and elegant graphics visualization of the chromosomes or chromosome regions of any living organism allowing users to map chromosome elements (like genes, SNPs etc.) on the chromosome plot. It introduces a special plot viz. the "chromosome heatmap" that, in addition to mapping elements, can visualize the data associated with chromosome elements (like gene expression) in the form of heat colors which can be highly advantageous in the scientific interpretations and research work. Because of the large size of the chromosomes, it is impractical to visualize each element on the same plot. However, the plot provides a magnified view for each of chromosome locus to render additional information and visualization specific for that location. You can map thousands of genes and can view all mappings easily. Users can investigate the detailed information about the mappings (like gene names or total genes mapped on a location) or can view the magnified single or double stranded view of the chromosome at a location showing each mapped element in sequential order. The package provide multiple features like visualizing multiple sets, chromosome heat-maps, group annotations, adding hyperlinks, and labelling. The plots can be saved as HTML documents that can be customized and shared easily. In addition, you can include them in R Markdown or in R 'Shiny' applications.
Author: Lakshay Anand [aut, cre]
Maintainer: Lakshay Anand <lakshayanand15@gmail.com>

Diff between chromoMap versions 0.3 dated 2021-01-13 and 0.3.1 dated 2021-04-01

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 20 files changed, 3052 insertions(+), 222 deletions(-)

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Permanent link

New package bbdetection with initial version 1.0
Package: bbdetection
Title: Identification of Bull and Bear States of the Market
Version: 1.0
Author: Valeriy Zakamulin
Maintainer: Valeriy Zakamulin <valeriz@uia.no>
Description: Implements two algorithms of detecting Bull and Bear markets in stock prices: the algorithm of Pagan and Sossounov (2002, <doi:10.1002/jae.664>) and the algorithm of Lunde and Timmermann (2004, <doi:10.1198/073500104000000136>). The package also contains functions for printing out the dating of the Bull and Bear states of the market, the descriptive statistics of the states, and functions for plotting the results. For the sake of convenience, the package includes the monthly and daily data on the prices (not adjusted for dividends) of the S&P 500 stock market index.
License: GPL-3
Encoding: UTF-8
LazyData: TRUE
Depends: R (>= 4.0)
Imports: Rcpp (>= 0.12.5), zoo, xtable, ggplot2
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2021-03-31 13:28:32 UTC; Denis
Repository: CRAN
Date/Publication: 2021-04-01 14:30:09 UTC

More information about bbdetection at CRAN
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New package relevance with initial version 1.1
Package: relevance
Title: Calculate Relevance
Version: 1.1
Date: 2021-03-11
Author: Werner A. Stahel
Maintainer: Werner A. Stahel <stahel@stat.math.ethz.ch>
Depends: R (>= 3.5.0)
Imports: stats, utils
Suggests: MASS, survival, knitr
VignetteBuilder: knitr
Description: Calculates relevance and significance values for simple models and for many types of regression models. These are introduced in 'Stahel, Werner A.' (2021) "New relevance and significance measures to replace p-values." <https://stat.ethz.ch/~stahel/relevance/stahel-relevance2103.pdf>.
License: GPL-2
NeedsCompilation: no
Packaged: 2021-03-31 11:54:59 UTC; stahel
Repository: CRAN
Date/Publication: 2021-04-01 14:00:02 UTC

More information about relevance at CRAN
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Package NetOrigin updated to version 1.1-2 with previous version 1.0-3 dated 2018-04-19

Title: Origin Estimation for Propagation Processes on Complex Networks
Description: Performs network-based source estimation. Different approaches are available: effective distance median, recursive backtracking, and centrality-based source estimation. Additionally, we provide public transportation network data as well as methods for data preparation, source estimation performance analysis and visualization.
Author: Juliane Manitz [aut, cre], Jonas Harbering [ctb], Jun Li [ctb]
Maintainer: Juliane Manitz <r@manitz.org>

Diff between NetOrigin versions 1.0-3 dated 2018-04-19 and 1.1-2 dated 2021-04-01

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 35 files changed, 2316 insertions(+), 2133 deletions(-)

More information about NetOrigin at CRAN
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New package mapping with initial version 1.0
Package: mapping
Version: 1.0
Date: 2021-03-29
Title: Automatic Download, Linking, Manipulating Coordinates for Maps
Description: Maps are an important tool to visualise variables distribution across different spatial object. The mapping process require to link the data with coordinates and then generate the correspondent map. This package provide coordinates, linking and mapping functions for an automatic, flexible and easy approach of mapping workflow of different geographical statistical unit.Geographical coordinates are provided in the package and automatically linked with the input data to generate maps with internal provided functions or external functions.provide an easy, flexible and automatic approach to potentially download updated coordinates, to link statistical units with coordinates and to aggregate variables based on the spatial hierarchy of units. The object returned from the package can be used for thematic maps with the build-in functions provided in mapping or with other packages already available.
Authors@R: c(person("Alessio", "Serafini", role = c("aut", "cre"), email = "srf.alessio@gmail.com"), person("Giancarlo", "Ferrara", role = c("aut"), email = "giancarlo.ferrara@gmail.com"))
Depends: R (>= 3.5)
Imports: tmap (>= 2.3-2), cartography (>= 2.3.0), graphics(>= 3.6.1), ggplot2 (>= 3.2.1), rgdal(>= 1.4-8), sf(>= 0.8-1), utils, stats, dplyr(>= 0.8.3), leaflet(>= 2.0.3), tmaptools(>= 2.0-2), viridisLite(>= 0.3.0), grid(>= 3.6.1), httr(>= 1.4.1), curl(>= 4.3), htmltools(>= 0.5.0), leafpop(>= 0.0.5), leafsync(>= 0.1.0), mapview(>= 2.7.8), geojsonio(>= 0.9.2), jsonlite(>= 1.7.1), stringr(>= 1.4.0)
Suggests: knitr (>= 1.8), DiagrammeR(>= 1.0.6.1), rmarkdown
Repository: CRAN
URL: https://github.com/serafinialessio/mapping
BugReports: https://github.com/serafinialessio/mapping/issues
LazyData: yes
LazyDataCompression: xy
Encoding: UTF-8
VignetteBuilder: knitr
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2021-03-31 11:16:51 UTC; alessioserafini
Author: Alessio Serafini [aut, cre], Giancarlo Ferrara [aut]
Maintainer: Alessio Serafini <srf.alessio@gmail.com>
Date/Publication: 2021-04-01 14:00:05 UTC

More information about mapping at CRAN
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New package ChineseNames with initial version 1.0.0
Package: ChineseNames
Title: Chinese Name Database 1930-2008
Version: 1.0.0
Date: 2021-03-30
Authors@R: c(person(given = "Han-Wu-Shuang", family = "Bao", role = c("aut", "cre"), email = "baohws@foxmail.com"))
Author: Han-Wu-Shuang Bao [aut, cre]
Maintainer: Han-Wu-Shuang Bao <baohws@foxmail.com>
Description: A database of Chinese surnames and Chinese given names (1930-2008). This database contains nationwide frequency statistics of 1,806 Chinese surnames and 2,614 Chinese characters used in given names, covering about 1.2 billion Han Chinese population (96.8% of the Han Chinese household-registered population born from 1930 to 2008 and still alive in 2008). This package also contains a function for computing multiple features of Chinese surnames and Chinese given names for scientific research (e.g., name uniqueness, name gender, name valence, and name warmth/competence).
License: GPL-3
Encoding: UTF-8
LazyData: true
URL: https://github.com/psychbruce/ChineseNames
BugReports: https://github.com/psychbruce/ChineseNames/issues
Depends: R (>= 3.6.0)
Imports: bruceR, data.table
Suggests: babynames, dplyr
NeedsCompilation: no
Packaged: 2021-03-31 08:30:11 UTC; Bruce
Repository: CRAN
Date/Publication: 2021-04-01 13:30:02 UTC

More information about ChineseNames at CRAN
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Package sigminer updated to version 2.0.0 with previous version 1.2.5 dated 2021-02-19

Title: Extract, Analyze and Visualize Mutational Signatures for Genomic Variations
Description: Genomic alterations including single nucleotide substitution, copy number alteration, etc. are the major force for cancer initialization and development. Due to the specificity of molecular lesions caused by genomic alterations, we can generate characteristic alteration spectra, called 'signature' (Wang, Shixiang, et al. (2020) <DOI:10.1101/2020.04.27.20082404> & Alexandrov, Ludmil B., et al. (2020) <DOI:10.1038/s41586-020-1943-3>). This package helps users to extract, analyze and visualize signatures from genomic alteration records, thus providing new insight into cancer study.
Author: Shixiang Wang [aut, cre] (<https://orcid.org/0000-0001-9855-7357>), Ziyu Tao [aut] (<https://orcid.org/0000-0003-3272-1227>), Huimin Li [aut] (<https://orcid.org/0000-0003-1683-9057>), Tao Wu [aut] (<https://orcid.org/0000-0002-8999-9628>), Xue-Song Liu [aut, ctb] (<https://orcid.org/0000-0002-7736-0077>), Anand Mayakonda [ctb]
Maintainer: Shixiang Wang <w_shixiang@163.com>

Diff between sigminer versions 1.2.5 dated 2021-02-19 and 2.0.0 dated 2021-04-01

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New package ProcData with initial version 0.3.2
Package: ProcData
Title: Process Data Analysis
Version: 0.3.2
Date: 2021-03-24
Authors@R: c( person("Xueying", "Tang", email = "xueyingtang1989@gmail.com", role = c("aut", "cre")), person("Susu", "Zhang", email = "susu.zhang1992@gmail.com", role = c("aut")), person("Zhi", "Wang", email = "zhiwpku@gmail.com", role=c("aut")), person("Jingchen", "Liu", email = "jcliu@stat.columbia.edu", role=c("aut")), person("Zhiliang", "Ying", email = "zying@stat.columbia.edu", role=c("aut")))
Description: Provides tools for exploratory process data analysis. Process data refers to the data describing participants' problem-solving processes in computer-based assessments. It is often recorded in computer log files. This package provides functions to read, process, and write process data. It also implements two feature extraction methods to compress the information stored in process data into standard numerical vectors. This package also provides recurrent neural network based models that relate response processes with other binary or scale variables of interest. The functions that involve training and evaluating neural networks are wrappers of functions in 'keras'.
BugReports: https://github.com/xytangtang/ProcData/issues
License: GPL (>= 2)
Depends: R (>= 3.5)
Imports: Rcpp (>= 0.12.16), keras (>= 2.2.4)
LinkingTo: Rcpp
SystemRequirements: Python (>= 2.7), Keras (>= 2.0), TensorFlow (>= 1.13)
LazyData: true
NeedsCompilation: yes
Packaged: 2021-03-25 05:31:36 UTC; xueyingtang
Author: Xueying Tang [aut, cre], Susu Zhang [aut], Zhi Wang [aut], Jingchen Liu [aut], Zhiliang Ying [aut]
Maintainer: Xueying Tang <xueyingtang1989@gmail.com>
Repository: CRAN
Date/Publication: 2021-04-01 12:50:09 UTC

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New package mockcpp with initial version 0.0.1
Package: mockcpp
Title: Mocking in C++ with 'testthat'
Version: 0.0.1
Authors@R: c( person( given = "Giovanni", family = "Charles", role = c('aut', 'cre'), email = 'giovanni.charles@gmail.com' ), person( given = "Imperial College of Science, Technology and Medicine", family = "", role = c('cph'), email = 'giovanni.charles10@imperial.ac.uk' ), person( given = "Björn", family = "Fahller", role = c('cph'), email = 'bjorn@fahller.se' ))
Description: A header only library integrating 'testthat' with 'trompeoeil' to provide mocking for C++ code in R packages. Mocking is a technique for making a fake version of a software service. You can mock services to test that your code interacts correctly with external interfaces, to make your tests deterministic, or to break your tests down into smaller units. 'testthat' provides a testing framework for R and C++ code in R packages. 'trompeoeil' is a C++ header only library for mocking.
License: MIT + file LICENSE | BSL-1.0
Encoding: UTF-8
Imports: testthat (>= 2.1.0)
LinkingTo: testthat
Suggests: knitr, rmarkdown, Rcpp, cpp11, pkgload, decor
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2021-03-30 16:59:42 UTC; root
Author: Giovanni Charles [aut, cre], Imperial College of Science, Technology and Medicine [cph], Björn Fahller [cph]
Maintainer: Giovanni Charles <giovanni.charles@gmail.com>
Repository: CRAN
Date/Publication: 2021-04-01 13:00:02 UTC

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Package GetDFPData updated to version 1.6 with previous version 1.5.3 dated 2020-05-18

Title: Reading Annual Financial Reports from Bovespa's DFP, FRE and FCA System
Description: Reads annual financial reports including assets, liabilities, dividends history, stockholder composition and much more from Bovespa's DFP, FRE and FCA systems <http://www.b3.com.br/pt_br/produtos-e-servicos/negociacao/renda-variavel/empresas-listadas.htm>. These are web based interfaces for all financial reports of companies traded at Bovespa. The package is specially designed for large scale data importation, keeping a tabular (long) structure for easier processing.
Author: Marcelo Perlin [aut, cre]
Maintainer: Marcelo Perlin <marceloperlin@gmail.com>

Diff between GetDFPData versions 1.5.3 dated 2020-05-18 and 1.6 dated 2021-04-01

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Package scam updated to version 1.2-11 with previous version 1.2-10 dated 2021-02-01

Title: Shape Constrained Additive Models
Description: Routines for generalized additive modelling under shape constraints on the component functions of the linear predictor (Pya and Wood, 2015) <doi:10.1007/s11222-013-9448-7>. Models can contain multiple shape constrained (univariate and/or bivariate) and unconstrained terms. The routines of gam() in package 'mgcv' are used for setting up the model matrix, printing and plotting the results. Penalized likelihood maximization based on Newton-Raphson method is used to fit a model with multiple smoothing parameter selection by GCV or UBRE/AIC.
Author: Natalya Pya <nat.pya@gmail.com>
Maintainer: Natalya Pya <nat.pya@gmail.com>

Diff between scam versions 1.2-10 dated 2021-02-01 and 1.2-11 dated 2021-04-01

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Package textutils updated to version 0.2-1 with previous version 0.2-0 dated 2020-01-07

Title: Utilities for Handling Strings and Text
Description: Utilities for handling character vectors that store human-readable text (either plain or with markup, such as HTML or LaTeX). The package provides, in particular, functions that help with the preparation of plain-text reports, e.g. for expanding and aligning strings that form the lines of such reports. The package also provides generic functions for transforming R objects to HTML and to plain text.
Author: Enrico Schumann [aut, cre] (<https://orcid.org/0000-0001-7601-6576>)
Maintainer: Enrico Schumann <es@enricoschumann.net>

Diff between textutils versions 0.2-0 dated 2020-01-07 and 0.2-1 dated 2021-04-01

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Package sisireg updated to version 0.9.0 with previous version 0.8.1 dated 2021-01-25

Title: Sign-Simplicity-Regression-Solver
Description: Implementation of the SSR-Algorithm. The Sign-Simplicity-Regression model is a nonparametric statistical model which is based on residual signs and simplicity assumptions on the regression function. Goal is to calculate the most parsimonious regression function satisfying the statistical adequacy requirements. Theory and functions are specified in Metzner (2020, ISBN: 979-8-68239-420-3, "Trendbasierte Prognostik") and Metzner (2021, ISBN: 979-8-59347-027-0, "Adäquates Maschinelles Lernen").
Author: Lars Metzner [aut, cre]
Maintainer: Lars Metzner <lars.metzner@ppi.de>

Diff between sisireg versions 0.8.1 dated 2021-01-25 and 0.9.0 dated 2021-04-01

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Package NMOF updated to version 2.4-0 with previous version 2.3-1 dated 2021-01-19

Title: Numerical Methods and Optimization in Finance
Description: Functions, examples and data from the first and the second edition of "Numerical Methods and Optimization in Finance" by M. Gilli, D. Maringer and E. Schumann (2019, ISBN:978-0128150658). The package provides implementations of optimisation heuristics (Differential Evolution, Genetic Algorithms, Particle Swarm Optimisation, Simulated Annealing and Threshold Accepting), and other optimisation tools, such as grid search and greedy search. There are also functions for the valuation of financial instruments such as bonds and options, for portfolio selection and functions that help with stochastic simulations.
Author: Enrico Schumann [aut, cre] (<https://orcid.org/0000-0001-7601-6576>)
Maintainer: Enrico Schumann <es@enricoschumann.net>

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Package datetimeutils updated to version 0.5-0 with previous version 0.4-0 dated 2020-03-25

Title: Utilities for Dates and Times
Description: Utilities for handling dates and times, such as selecting particular days of the week or month, formatting timestamps as required by RSS feeds, or converting timestamp representations of other software (such as 'MATLAB' and 'Excel') to R. The package is lightweight (no dependencies, pure R implementations) and relies only on R's standard classes to represent dates and times ('Date' and 'POSIXt'); it aims to provide efficient implementations, through vectorisation and the use of R's native numeric representations of timestamps where possible.
Author: Enrico Schumann [aut, cre] (<https://orcid.org/0000-0001-7601-6576>), Unicode, Inc. [dtc, cph] (source of timezone names in 'tznames')
Maintainer: Enrico Schumann <es@enricoschumann.net>

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Package insight updated to version 0.13.2 with previous version 0.13.1 dated 2021-02-22

Title: Easy Access to Model Information for Various Model Objects
Description: A tool to provide an easy, intuitive and consistent access to information contained in various R models, like model formulas, model terms, information about random effects, data that was used to fit the model or data from response variables. 'insight' mainly revolves around two types of functions: Functions that find (the names of) information, starting with 'find_', and functions that get the underlying data, starting with 'get_'. The package has a consistent syntax and works with many different model objects, where otherwise functions to access these information are missing.
Author: Daniel Lüdecke [aut, cre] (<https://orcid.org/0000-0002-8895-3206>, @strengejacke), Dominique Makowski [aut, ctb] (<https://orcid.org/0000-0001-5375-9967>, @Dom_Makowski), Indrajeet Patil [aut, ctb] (<https://orcid.org/0000-0003-1995-6531>, @patilindrajeets), Philip Waggoner [aut, ctb] (<https://orcid.org/0000-0002-7825-7573>), Mattan S. Ben-Shachar [aut, ctb] (<https://orcid.org/0000-0002-4287-4801>)
Maintainer: Daniel Lüdecke <d.luedecke@uke.de>

Diff between insight versions 0.13.1 dated 2021-02-22 and 0.13.2 dated 2021-04-01

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More information about insight at CRAN
Permanent link

Package ausplotsR (with last version 1.2.3) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2021-03-17 1.2.3
2021-02-15 1.2.2
2020-12-17 1.2.1
2020-11-04 1.2

Permanent link
Package fungible updated to version 1.97 with previous version 1.96.3 dated 2020-06-03

Title: Psychometric Functions from the Waller Lab
Description: Computes fungible coefficients and Monte Carlo data. Underlying theory for these functions is described in the following publications: Waller, N. (2008). Fungible Weights in Multiple Regression. Psychometrika, 73(4), 691-703, <DOI:10.1007/s11336-008-9066-z>. Waller, N. & Jones, J. (2009). Locating the Extrema of Fungible Regression Weights. Psychometrika, 74(4), 589-602, <DOI:10.1007/s11336-008-9087-7>. Waller, N. G. (2016). Fungible Correlation Matrices: A Method for Generating Nonsingular, Singular, and Improper Correlation Matrices for Monte Carlo Research. Multivariate Behavioral Research, 51(4), 554-568, <DOI:10.1080/00273171.2016.1178566>. Jones, J. A. & Waller, N. G. (2015). The normal-theory and asymptotic distribution-free (ADF) covariance matrix of standardized regression coefficients: theoretical extensions and finite sample behavior. Psychometrika, 80, 365-378, <DOI:10.1007/s11336-013-9380-y>. Waller, N. G. (2018). Direct Schmid-Leiman transformations and rank-deficient loadings matrices. Psychometrika, 83, 858-870. <DOI:10.1007/s11336-017-9599-0>.
Author: Niels Waller [aut, cre], Jeff Jones [ctb], Casey Giordano [ctb]
Maintainer: Niels Waller <nwaller@umn.edu>

Diff between fungible versions 1.96.3 dated 2020-06-03 and 1.97 dated 2021-04-01

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 man/faAlign.Rd         |    1 
 man/faEKC.Rd           |    1 
 man/faIB.Rd            |    1 
 man/faLocalMin.Rd      |only
 man/faMB.Rd            |    1 
 man/faMain.Rd          |    1 
 man/faScores.Rd        |    1 
 man/faSort.Rd          |    1 
 man/faStandardize.Rd   |    1 
 man/faX.Rd             |    1 
 man/fals.Rd            |    1 
 man/fapa.Rd            |    1 
 man/fareg.Rd           |    1 
 man/fungibleExtrema.Rd |   69 +++++++++++++++++-----
 man/orderFactors.Rd    |    1 
 man/print.faMB.Rd      |    1 
 man/print.faMain.Rd    |    1 
 man/promaxQ.Rd         |    1 
 man/simFA.Rd           |   15 ++--
 man/summary.faMB.Rd    |    1 
 man/summary.faMain.Rd  |    4 -
 41 files changed, 342 insertions(+), 149 deletions(-)

More information about fungible at CRAN
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Package DLMtool updated to version 6.0.1 with previous version 6.0.0 dated 2021-01-13

Title: Data-Limited Methods Toolkit
Description: A collection of data-limited management procedures that can be evaluated with management strategy evaluation with the 'MSEtool' package, or applied to fishery data to provide management recommendations.
Author: Tom Carruthers [aut], Quang Huynh [aut], Adrian Hordyk [aut, cre], M. Bryan [ctb], HF. Geremont [ctb], C. Grandin [ctb], W. Harford [ctb], Q. Huynh [ctb], C. Walters [ctb]
Maintainer: Adrian Hordyk <adrian@bluematterscience.com>

Diff between DLMtool versions 6.0.0 dated 2021-01-13 and 6.0.1 dated 2021-04-01

 DESCRIPTION         |    9 -
 MD5                 |  141 ++++++++++----------
 NEWS.md             |    6 
 R/MPs_Input.R       |  138 ++++++++++++--------
 README.md           |   38 +++--
 man/AvC.Rd          |  122 ++++++++---------
 man/AvC_MLL.Rd      |  124 +++++++++---------
 man/BK.Rd           |  228 ++++++++++++++++-----------------
 man/CC.Rd           |   52 +++----
 man/CC1.Rd          |  214 +++++++++++++++----------------
 man/CompSRA.Rd      |  150 +++++++++++-----------
 man/CompSRA_.Rd     |   44 +++---
 man/DBSRA.Rd        |  224 ++++++++++++++++----------------
 man/DBSRA_.Rd       |   48 +++----
 man/DBSRAopt.Rd     |   62 ++++-----
 man/DCAC.Rd         |  354 ++++++++++++++++++++++++++--------------------------
 man/DCAC_.Rd        |   52 +++----
 man/DD.Rd           |  174 ++++++++++++-------------
 man/DD_.Rd          |   44 +++---
 man/DD_R.Rd         |   94 ++++++-------
 man/DDe.Rd          |  166 ++++++++++++------------
 man/DTe40.Rd        |  132 +++++++++----------
 man/DynF.Rd         |  168 ++++++++++++------------
 man/EtargetLopt.Rd  |  120 ++++++++---------
 man/Fadapt.Rd       |  210 +++++++++++++++---------------
 man/Fdem.Rd         |  174 ++++++++++++-------------
 man/Fdem_.Rd        |   42 +++---
 man/FilterSmooth.Rd |   48 +++----
 man/Fratio.Rd       |  244 +++++++++++++++++------------------
 man/Fratio_.Rd      |   42 +++---
 man/GB_CC.Rd        |  140 ++++++++++----------
 man/GB_slope.Rd     |  164 ++++++++++++------------
 man/GB_target.Rd    |  176 ++++++++++++-------------
 man/Gcontrol.Rd     |  172 ++++++++++++-------------
 man/ICI.Rd          |  200 ++++++++++++++---------------
 man/IT5.Rd          |  154 +++++++++++-----------
 man/ITM.Rd          |  106 +++++++--------
 man/IT_.Rd          |   56 ++++----
 man/ITe5.Rd         |  142 ++++++++++----------
 man/Iratio.Rd       |  152 +++++++++++-----------
 man/Islope1.Rd      |  202 ++++++++++++++---------------
 man/Islope_.Rd      |   52 +++----
 man/Itarget1.Rd     |  226 ++++++++++++++++-----------------
 man/Itarget1_MPA.Rd |  176 ++++++++++++-------------
 man/ItargetE1.Rd    |  210 +++++++++++++++---------------
 man/Itarget_.Rd     |   64 ++++-----
 man/Itargeteff_.Rd  |   58 ++++----
 man/LBSPR.Rd        |  200 ++++++++++++++---------------
 man/LBSPR_.Rd       |   50 +++----
 man/LBSPRgen.Rd     |  130 +++++++++----------
 man/Lratio_BHI.Rd   |  198 ++++++++++++++---------------
 man/LstepCC1.Rd     |  306 ++++++++++++++++++++++----------------------
 man/LstepCE1.Rd     |  210 +++++++++++++++---------------
 man/Ltarget1.Rd     |  266 +++++++++++++++++++--------------------
 man/LtargetE1.Rd    |  180 +++++++++++++-------------
 man/MCD.Rd          |  138 ++++++++++----------
 man/MRreal.Rd       |  122 ++++++++---------
 man/Rcontrol.Rd     |  216 +++++++++++++++----------------
 man/SBT1.Rd         |  238 +++++++++++++++++-----------------
 man/SPMSY.Rd        |  150 +++++++++++-----------
 man/SPSRA.Rd        |  168 ++++++++++++------------
 man/SPSRA_.Rd       |   84 ++++++------
 man/SPmod.Rd        |  162 +++++++++++------------
 man/SPslope.Rd      |  186 +++++++++++++--------------
 man/YPR.Rd          |  184 +++++++++++++--------------
 man/YPR_.Rd         |   96 +++++++-------
 man/curE.Rd         |  122 ++++++++---------
 man/demographic2.Rd |   86 ++++++------
 man/figures         |only
 man/getr.Rd         |   62 ++++-----
 man/iVB.Rd          |   42 +++---
 man/matlenlim.Rd    |  230 ++++++++++++++++-----------------
 72 files changed, 4993 insertions(+), 4947 deletions(-)

More information about DLMtool at CRAN
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