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Tue, 03 Sep 2024

Package mvgam updated to version 1.1.3 with previous version 1.1.2 dated 2024-07-01

Title: Multivariate (Dynamic) Generalized Additive Models
Description: Fit Bayesian Dynamic Generalized Additive Models to sets of time series. Users can build dynamic nonlinear State-Space models that can incorporate semiparametric effects in observation and process components, using a wide range of observation families. Estimation is performed using Markov Chain Monte Carlo with Hamiltonian Monte Carlo in the software 'Stan'. References: Clark & Wells (2022) <doi:10.1111/2041-210X.13974>.
Author: Nicholas J Clark [aut, cre]
Maintainer: Nicholas J Clark <nicholas.j.clark1214@gmail.com>

Diff between mvgam versions 1.1.2 dated 2024-07-01 and 1.1.3 dated 2024-09-03

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Package L1centrality updated to version 0.2.1 with previous version 0.2.0 dated 2024-08-20

Title: Graph/Network Analysis Based on L1 Centrality
Description: Analyze graph/network data using L1 centrality and prestige. Functions for deriving global, local, and group L1 centrality/prestige are provided. Routines for visual inspection of a graph/network are also provided. Details are in Kang and Oh (2024a) <doi:10.48550/arXiv.2404.13233> and Kang and Oh (2024b) <doi:10.48550/arXiv.2408.12078>.
Author: Seungwoo Kang [aut, cre] , Hee-Seok Oh [aut]
Maintainer: Seungwoo Kang <kangsw0401@snu.ac.kr>

Diff between L1centrality versions 0.2.0 dated 2024-08-20 and 0.2.1 dated 2024-09-03

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More information about L1centrality at CRAN
Permanent link

Package glmx updated to version 0.2-1 with previous version 0.2-0 dated 2023-03-27

Title: Generalized Linear Models Extended
Description: Extended techniques for generalized linear models (GLMs), especially for binary responses, including parametric links and heteroscedastic latent variables.
Author: Achim Zeileis [aut, cre] , Roger Koenker [aut] , Philipp Doebler [aut]
Maintainer: Achim Zeileis <Achim.Zeileis@R-project.org>

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Package literanger updated to version 0.1.0 with previous version 0.0.2 dated 2023-07-13

Title: Random Forests for Multiple Imputation Based on 'ranger'
Description: An updated implementation of R package 'ranger' by Wright et al, (2017) <doi:10.18637/jss.v077.i01> for training and predicting from random forests, particularly suited to high-dimensional data, and for embedding in 'Multiple Imputation by Chained Equations' (MICE) by van Buuren (2007) <doi:10.1177/0962280206074463>. Ensembles of classification and regression trees are currently supported. Sparse data of class 'dgCMatrix' (R package 'Matrix') can be directly analyzed. Conventional bagged predictions are available alongside an efficient prediction for MICE via the algorithm proposed by Doove et al (2014) <doi:10.1016/j.csda.2013.10.025>. Survival and probability forests are not supported in the update, nor is data of class 'gwaa.data' (R package 'GenABEL'); use the original 'ranger' package for these analyses.
Author: Stephen Wade [aut, cre] , Marvin N Wright [ctb]
Maintainer: Stephen Wade <stephematician@gmail.com>

Diff between literanger versions 0.0.2 dated 2023-07-13 and 0.1.0 dated 2024-09-03

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Package gwid updated to version 0.3.0 with previous version 0.2.0 dated 2024-06-10

Title: Genome-Wide Identity-by-Descent
Description: Methods and tools for the analysis of Genome Wide Identity-by-Descent ('gwid') mapping data, focusing on testing whether there is a higher occurrence of Identity-By-Descent (IBD) segments around potential causal variants in cases compared to controls, which is crucial for identifying rare variants. To enhance its analytical power, 'gwid' incorporates a Sliding Window Approach, allowing for the detection and analysis of signals from multiple Single Nucleotide Polymorphisms (SNPs).
Author: Soroush Mahmoudiandehkordi [aut, cre], Steven J Schrodi [aut], Mehdi Maadooliat [aut]
Maintainer: Soroush Mahmoudiandehkordi <soroushmdg@gmail.com>

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Package distrMod updated to version 2.9.4 with previous version 2.9.3 dated 2024-08-30

Title: Object Oriented Implementation of Probability Models
Description: Implements S4 classes for probability models based on packages 'distr' and 'distrEx'.
Author: Matthias Kohl [aut, cph], Peter Ruckdeschel [cre, cph], R Core Team [ctb, cph]
Maintainer: Peter Ruckdeschel <peter.ruckdeschel@uni-oldenburg.de>

Diff between distrMod versions 2.9.3 dated 2024-08-30 and 2.9.4 dated 2024-09-03

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Package svd updated to version 0.5.6 with previous version 0.5.5 dated 2023-11-28

Title: Interfaces to Various State-of-Art SVD and Eigensolvers
Description: R bindings to SVD and eigensolvers (PROPACK, nuTRLan).
Author: Anton Korobeynikov [aut, cre], Rasmus Munk Larsen [ctb, cph], Lawrence Berkeley National Laboratory [ctb, cph]
Maintainer: Anton Korobeynikov <anton@korobeynikov.info>

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Package rsurveycto updated to version 0.2.1 with previous version 0.2.0 dated 2024-08-17

Title: Interact with Data on 'SurveyCTO'
Description: 'SurveyCTO' is a platform for mobile data collection in offline settings. The 'rsurveycto' R package uses the 'SurveyCTO' REST API <https://docs.surveycto.com/05-exporting-and-publishing-data/05-api-access/01.api-access.html> to read datasets and forms from a 'SurveyCTO' server into R as 'data.table's and to download file attachments. The package also has limited support to write datasets to a server.
Author: Jake Hughey [aut, cre], Robert On [aut]
Maintainer: Jake Hughey <jake@agency.fund>

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Package parameters updated to version 0.22.2 with previous version 0.22.1 dated 2024-07-21

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 list of supported models using the function 'insight::supported_models()'), 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 Luedecke [aut, cre] , Dominique Makowski [aut] , Mattan S. Ben-Shachar [aut] , Indrajeet Patil [aut] , Soeren Hoejsgaard [aut], Brenton M. Wiernik [aut] , Zen J. Lau [ctb], Vincent Arel-Bundock [ctb] , Jeffrey Girard [ctb] , Christina Maimone [re [...truncated...]
Maintainer: Daniel Luedecke <d.luedecke@uke.de>

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Package readNSx updated to version 0.0.5 with previous version 0.0.4 dated 2024-02-24

Title: Read 'Blackrock-Microsystems' Files ('NEV', 'NSx')
Description: Loads 'Blackrock' <https://blackrockneurotech.com> neural signal data files into the memory, provides utility tools to extract the data into common formats such as plain-text 'tsv' and 'HDF5'.
Author: Zhengjia Wang [aut, cre]
Maintainer: Zhengjia Wang <dipterix.wang@gmail.com>

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Package PMA updated to version 1.2-4 with previous version 1.2-3 dated 2024-02-06

Title: Penalized Multivariate Analysis
Description: Performs Penalized Multivariate Analysis: a penalized matrix decomposition, sparse principal components analysis, and sparse canonical correlation analysis, described in Witten, Tibshirani and Hastie (2009) <doi:10.1093/biostatistics/kxp008> and Witten and Tibshirani (2009) Extensions of sparse canonical correlation analysis, with applications to genomic data <doi:10.2202/1544-6115.1470>.
Author: Daniela Witten [aut], Rob Tibshirani [aut], Sam Gross [aut], Balasubramanian Narasimhan [cre, aut]
Maintainer: Balasubramanian Narasimhan <naras@stanford.edu>

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Package SuppDists updated to version 1.1-9.8 with previous version 1.1-9.7 dated 2022-01-03

Title: Supplementary Distributions
Description: Ten distributions supplementing those built into R. Inverse Gauss, Kruskal-Wallis, Kendall's Tau, Friedman's chi squared, Spearman's rho, maximum F ratio, the Pearson product moment correlation coefficient, Johnson distributions, normal scores and generalized hypergeometric distributions.
Author: Bob Wheeler [aut], Thorsten Pohlert [ctb, cre]
Maintainer: Thorsten Pohlert <thorsten.pohlert@gmx.de>

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Package ravetools updated to version 0.1.8 with previous version 0.1.7 dated 2024-07-17

Title: Signal and Image Processing Toolbox for Analyzing Intracranial Electroencephalography Data
Description: Implemented fast and memory-efficient Notch-filter, Welch-periodogram, discrete wavelet spectrogram for minutes of high-resolution signals, fast 3D convolution, image registration, 3D mesh manipulation; providing fundamental toolbox for intracranial Electroencephalography (iEEG) pipelines. Documentation and examples about 'RAVE' project are provided at <https://openwetware.org/wiki/RAVE>, and the paper by John F. Magnotti, Zhengjia Wang, Michael S. Beauchamp (2020) <doi:10.1016/j.neuroimage.2020.117341>; see 'citation("ravetools")' for details.
Author: Zhengjia Wang [aut, cre], John Magnotti [aut], Michael Beauchamp [aut], Trustees of the University of Pennsylvania [cph] , Karim Rahim [cph, ctb] , Thomas Possidente [cph, ctb] , Michael Prerau [cph, ctb] , Marcus Geelnard [ctb, cph] , Stefan Schlage [...truncated...]
Maintainer: Zhengjia Wang <dipterix.wang@gmail.com>

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Package bs4Dash updated to version 2.3.4 with previous version 2.3.3 dated 2024-01-23

Title: A 'Bootstrap 4' Version of 'shinydashboard'
Description: Make 'Bootstrap 4' Shiny dashboards. Use the full power of 'AdminLTE3', a dashboard template built on top of 'Bootstrap 4' <https://github.com/ColorlibHQ/AdminLTE>.
Author: David Granjon [aut, cre], RinteRface [cph], Almasaeed Studio [ctb, cph] , Winston Chang [ctb, cph]
Maintainer: David Granjon <dgranjon@ymail.com>

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Package ridigbio updated to version 0.4.0 with previous version 0.3.9 dated 2024-08-20

Title: Interface to the iDigBio Data API
Description: An interface to iDigBio's search API that allows downloading specimen records. Searches are returned as a data.frame. Other functions such as the metadata end points return lists of information. iDigBio is a US project focused on digitizing and serving museum specimen collections on the web. See <https://www.idigbio.org> for information on iDigBio.
Author: Francois Michonneau [aut, cph] , Matthew Collins [aut] , Scott Chamberlain [ctb], Kevin Love [ctb], Hem Nalini Morzaria-Luna [ctb], Michelle L. Gaynor [ctb, aut], Jesse Bennett [cre]
Maintainer: Jesse Bennett <j3553@ufl.edu>

Diff between ridigbio versions 0.3.9 dated 2024-08-20 and 0.4.0 dated 2024-09-03

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Package RcppCNPy updated to version 0.2.13 with previous version 0.2.12 dated 2023-11-27

Title: Read-Write Support for 'NumPy' Files via 'Rcpp'
Description: The 'cnpy' library written by Carl Rogers provides read and write facilities for files created with (or for) the 'NumPy' extension for 'Python'. Vectors and matrices of numeric types can be read or written to and from files as well as compressed files. Support for integer files is available if the package has been built with as C++11 which should be the default on all platforms since the release of R 3.3.0.
Author: Dirk Eddelbuettel [aut, cre] , Wush Wu [aut] , Carl Rogers [aut]
Maintainer: Dirk Eddelbuettel <edd@debian.org>

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Package CompExpDes updated to version 1.0.3 with previous version 1.0.2 dated 2024-08-21

Title: Computer Experiment Designs
Description: In computer experiments space-filling designs are having great impact. Most popularly used space-filling designs are Uniform designs (UDs), Latin hypercube designs (LHDs) etc. For further references one can see Mckay (1979) <DOI:10.1080/00401706.1979.10489755> and Fang (1980) <https://cir.nii.ac.jp/crid/1570291225616774784>. In this package, we have provided algorithms for generate efficient LHDs and UDs. Here, generated LHDs are efficient as they possess lower value of Maxpro measure, Phi_p value and Maximum Absolute Correlation (MAC) value based on the weightage given to each criterion. On the other hand, the produced UDs are having good space-filling property as they attained the lower bound of Discrete Discrepancy measure.
Author: Ashutosh Dalal [aut, cre], Cini Varghese [aut, ctb], Rajender Parsad [aut, ctb], Mohd Harun [aut, ctb]
Maintainer: Ashutosh Dalal <ashutosh.dalal97@gmail.com>

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Package filearray updated to version 0.1.8 with previous version 0.1.7 dated 2024-07-16

Title: File-Backed Array for Out-of-Memory Computation
Description: Stores large arrays in files to avoid occupying large memories. Implemented with super fast gigabyte-level multi-threaded reading/writing via 'OpenMP'. Supports multiple non-character data types (double, float, complex, integer, logical, and raw).
Author: Zhengjia Wang [aut, cre, cph]
Maintainer: Zhengjia Wang <dipterix.wang@gmail.com>

Diff between filearray versions 0.1.7 dated 2024-07-16 and 0.1.8 dated 2024-09-03

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Package rJavaEnv updated to version 0.2.1 with previous version 0.1.2 dated 2024-08-26

Title: 'Java' Environments for R Projects
Description: Quickly install 'Java Development Kit (JDK)' without administrative privileges and set environment variables in current R session or project to solve common issues with 'Java' environment management in 'R'. Recommended to users of 'Java'/'rJava'-dependent 'R' packages such as 'r5r', 'opentripplanner', 'xlsx', 'openNLP', 'rWeka', 'RJDBC', 'tabulapdf', and many more. 'rJavaEnv' prevents common problems like 'Java' not found, 'Java' version conflicts, missing 'Java' installations, and the inability to install 'Java' due to lack of administrative privileges. 'rJavaEnv' automates the download, installation, and setup of the 'Java' on a per-project basis by setting the relevant 'JAVA_HOME' in the current 'R' session or the current working directory (via '.Rprofile', with the user's consent). Similar to what 'renv' does for 'R' packages, 'rJavaEnv' allows different 'Java' versions to be used across different projects, but can also be configured to allow multiple versions within the same proj [...truncated...]
Author: Egor Kotov [aut, cre, cph] , Mauricio Vargas [ctb] , Hadley Wickham [ctb]
Maintainer: Egor Kotov <kotov.egor@gmail.com>

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Package inti updated to version 0.6.6 with previous version 0.6.5 dated 2024-05-16

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. Learn more about the 'inkaverse' project at <https://inkaverse.com/>.
Author: Flavio Lozano-Isla [aut, cre] , QuipoLab [ctb], Inkaverse [cph]
Maintainer: Flavio Lozano-Isla <flozanoisla@gmail.com>

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Package clarabel updated to version 0.9.0.1 with previous version 0.9.0 dated 2024-06-22

Title: Interior Point Conic Optimization Solver
Description: A versatile interior point solver that solves linear programs (LPs), quadratic programs (QPs), second-order cone programs (SOCPs), semidefinite programs (SDPs), and problems with exponential and power cone constraints (<https://clarabel.org/stable/>). For quadratic objectives, unlike interior point solvers based on the standard homogeneous self-dual embedding (HSDE) model, Clarabel handles quadratic objective without requiring any epigraphical reformulation of its objective function. It can therefore be significantly faster than other HSDE-based solvers for problems with quadratic objective functions. Infeasible problems are detected using using a homogeneous embedding technique.
Author: Balasubramanian Narasimhan [aut, cre], Paul Goulart [aut, cph], Yuwen Chen [aut], Hiroaki Yutani [ctb] , The authors of the dependency Rust crates [ctb]
Maintainer: Balasubramanian Narasimhan <naras@stanford.edu>

Diff between clarabel versions 0.9.0 dated 2024-06-22 and 0.9.0.1 dated 2024-09-03

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Package eodhd (with last version 1.0.4) was removed from CRAN

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

2024-02-05 1.0.4
2023-12-17 1.0.3
2023-11-19 1.0.2
2023-11-12 1.0.1
2023-11-01 1.0.0

Permanent link
New package wget with initial version 0.0.2
Package: wget
Title: Setting Download Method to 'wget'
Version: 0.0.2
Description: Provides function, wget_set(), to change the method (default to 'wget -c') using in download.file(). Using 'wget -c' allowing continued downloading, which is especially useful for slow internet connection and for downloading large files. User can run wget_unset() to restore previous setting.
Imports: yulab.utils (>= 0.1.7)
License: Artistic-2.0
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-08-30 13:36:49 UTC; HUAWEI
Author: Guangchuang Yu [aut, cre]
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>
Repository: CRAN
Date/Publication: 2024-09-03 16:10:02 UTC

More information about wget at CRAN
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Package TreeDist updated to version 2.9.0 with previous version 2.8.0 dated 2024-07-26

Title: Calculate and Map Distances Between Phylogenetic Trees
Description: Implements measures of tree similarity, including information-based generalized Robinson-Foulds distances (Phylogenetic Information Distance, Clustering Information Distance, Matching Split Information Distance; Smith 2020) <doi:10.1093/bioinformatics/btaa614>; Jaccard-Robinson-Foulds distances (Bocker et al. 2013) <doi:10.1007/978-3-642-40453-5_13>, including the Nye et al. (2006) metric <doi:10.1093/bioinformatics/bti720>; the Matching Split Distance (Bogdanowicz & Giaro 2012) <doi:10.1109/TCBB.2011.48>; Maximum Agreement Subtree distances; the Kendall-Colijn (2016) distance <doi:10.1093/molbev/msw124>, and the Nearest Neighbour Interchange (NNI) distance, approximated per Li et al. (1996) <doi:10.1007/3-540-61332-3_168>. Includes tools for visualizing mappings of tree space (Smith 2022) <doi:10.1093/sysbio/syab100>, for identifying islands of trees (Silva and Wilkinson 2021) <doi:10.1093/sysbio/syab015>, for calculating the median [...truncated...]
Author: Martin R. Smith [aut, cre, cph, prg] , Roy Jonker [prg, cph], Yong Yang [ctb, cph], Yi Cao [ctb, cph]
Maintainer: Martin R. Smith <martin.smith@durham.ac.uk>

Diff between TreeDist versions 2.8.0 dated 2024-07-26 and 2.9.0 dated 2024-09-03

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Package grpreg updated to version 3.5.0 with previous version 3.4.0 dated 2021-07-26

Title: Regularization Paths for Regression Models with Grouped Covariates
Description: Efficient algorithms for fitting the regularization path of linear regression, GLM, and Cox regression models with grouped penalties. This includes group selection methods such as group lasso, group MCP, and group SCAD as well as bi-level selection methods such as the group exponential lasso, the composite MCP, and the group bridge. For more information, see Breheny and Huang (2009) <doi:10.4310/sii.2009.v2.n3.a10>, Huang, Breheny, and Ma (2012) <doi:10.1214/12-sts392>, Breheny and Huang (2015) <doi:10.1007/s11222-013-9424-2>, and Breheny (2015) <doi:10.1111/biom.12300>, or visit the package homepage <https://pbreheny.github.io/grpreg/>.
Author: Patrick Breheny [aut, cre] , Yaohui Zeng [ctb], Ryan Kurth [ctb]
Maintainer: Patrick Breheny <patrick-breheny@uiowa.edu>

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Package Claddis updated to version 0.7.0 with previous version 0.6.3 dated 2020-09-26

Title: Measuring Morphological Diversity and Evolutionary Tempo
Description: Measures morphological diversity from discrete character data and estimates evolutionary tempo on phylogenetic trees. Imports morphological data from #NEXUS (Maddison et al. (1997) <doi:10.1093/sysbio/46.4.590>) format with read_nexus_matrix(), and writes to both #NEXUS and TNT format (Goloboff et al. (2008) <doi:10.1111/j.1096-0031.2008.00217.x>). Main functions are test_rates(), which implements AIC and likelihood ratio tests for discrete character rates introduced across Lloyd et al. (2012) <doi:10.1111/j.1558-5646.2011.01460.x>, Brusatte et al. (2014) <doi:10.1016/j.cub.2014.08.034>, Close et al. (2015) <doi:10.1016/j.cub.2015.06.047>, and Lloyd (2016) <doi:10.1111/bij.12746>, and calculate_morphological_distances(), which implements multiple discrete character distance metrics from Gower (1971) <doi:10.2307/2528823>, Wills (1998) <doi:10.1006/bijl.1998.0255>, Lloyd (2016) <doi:10.1111/bij.12746>, and Hopkins and St John (2018) [...truncated...]
Author: Graeme T. Lloyd [aut, cre, cph], Thomas Guillerme [aut, cph], Jen Hoyal Cuthill [aut, cph], Emma Sherratt [aut, cph], Steve C. Wang [aut, cph]
Maintainer: Graeme T. Lloyd <graemetlloyd@gmail.com>

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More information about Claddis at CRAN
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New package AOboot with initial version 0.1.0
Package: AOboot
Title: Bootstrapping in Different One-Way and Two-Way ANOVA
Version: 0.1.0
Depends: R (>= 4.3.0), afex, emmeans, lsr, methods, carData
Date: 2024-08-23
Description: To address the violation of the assumption of normally distributed variables, researchers frequently employ bootstrapping. Building upon established packages for R (Sigmann et al. (2024) <doi:10.32614/CRAN.package.afex>, Lenth (2024) <doi:10.32614/CRAN.package.emmeans>), we provide bootstrapping functions to approximate a normal distribution of the parameter estimates for between-subject, within-subject, and mixed one-way and two-way ANOVA.
License: GPL (>= 2)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-08-30 12:57:59 UTC; christianblotner
Author: Lisa-Marie Segbert [aut], Christian Bloetner [aut, cre]
Maintainer: Christian Bloetner <c.bloetner@gmail.com>
Repository: CRAN
Date/Publication: 2024-09-03 16:10:12 UTC

More information about AOboot at CRAN
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New package XDNUTS with initial version 1.2
Package: XDNUTS
Title: Discontinuous Hamiltonian Monte Carlo with Varying Trajectory Length
Version: 1.2
Date: 2024-08-02
Description: Hamiltonian Monte Carlo for both continuous and discontinuous posterior distributions with customisable trajectory length termination criterion. See Nishimura et al. (2020) <doi:10.1093/biomet/asz083> for the original Discontinuous Hamiltonian Monte Carlo, Hoffman et al. (2014) <doi:10.48550/arXiv.1111.4246> and Betancourt (2016) <doi:10.48550/arXiv.1601.00225> for the definition of possible Hamiltonian Monte Carlo termination criteria.
License: MIT + file LICENSE
Imports: base, coda, graphics, grDevices, parallel, purrr, Rcpp (>= 1.0.12), Rdpack, stats
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr, rmarkdown, KernSmooth
VignetteBuilder: knitr
Depends: R (>= 2.10)
LazyData: true
NeedsCompilation: yes
Packaged: 2024-08-30 10:05:27 UTC; paolomanildo
Author: Paolo Manildo [aut, cre]
Maintainer: Paolo Manildo <paolo.manildo@studenti.unipd.it>
Repository: CRAN
Date/Publication: 2024-09-03 16:00:12 UTC

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Package quanteda.textmodels updated to version 0.9.9 with previous version 0.9.8 dated 2024-08-29

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, the Perry and 'Benoit' (2017) <doi:10.48550/arXiv.1710.08963> class affinity scaling model, and the 'Slapin' and 'Proksch' (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] , Kohei Watanabe [aut] , Haiyan Wang [aut] , Patrick O. Perry [aut] , Benjamin Lauderdale [aut] , Johannes Gruber [aut] , William Lowe [aut] , Vikas Sindhwani [cph] , European Research Council [fnd]
Maintainer: Kenneth Benoit <kbenoit@lse.ac.uk>

Diff between quanteda.textmodels versions 0.9.8 dated 2024-08-29 and 0.9.9 dated 2024-09-03

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New package pooledpeaks with initial version 1.0.5
Package: pooledpeaks
Title: Genetic Analysis of Pooled Samples
Version: 1.0.5
Description: Analyzing genetic data obtained from pooled samples. This package can read in Fragment Analysis output files, process the data, and score peaks, as well as facilitate various analyses, including cluster analysis, calculation of genetic distances and diversity indices, as well as bootstrap resampling for statistical inference. Specifically tailored to handle genetic data efficiently, researchers can explore population structure, genetic differentiation, and genetic relatedness among samples. We updated some functions from Covarrubias-Pazaran et al. (2016) <doi:10.1186/s12863-016-0365-6> to allow for the use of new file formats and referenced the following to write our genetic analysis functions: Long et al. (2022) <doi:10.1038/s41598-022-04776-0>, Jost (2008) <doi:10.1111/j.1365-294x.2008.03887.x>, Nei (1973) <doi:10.1073/pnas.70.12.3321>, Foulley et al. (2006) <doi:10.1016/j.livprodsci.2005.10.021>, Chao et al. (2008) <doi:10.1111/j.1541-0420.2008.01010 [...truncated...]
URL: https://github.com/kmkuesters/pooledpeaks
License: GPL (>= 3)
Encoding: UTF-8
Imports: ape, dplyr, Fragman, graphics, magrittr, pdftools, qpdf, rlang, stats, tibble, tidyr, utils
Suggests: testthat (>= 3.0.0)
BugReports: https://github.com/kmkuesters/pooledpeaks/issues
NeedsCompilation: no
Packaged: 2024-08-30 01:01:28 UTC; Kathleen
Author: Kathleen Kuesters [aut, cre, cph] , Jeffrey Long [ctb], Jessica Blanton [ctb], Walter Blank [ctb], Jeffrey Kovach [ctb], Ronald Blanton [ctb]
Maintainer: Kathleen Kuesters <kathleen.kuesters@gmail.com>
Repository: CRAN
Date/Publication: 2024-09-03 15:50:02 UTC

More information about pooledpeaks at CRAN
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New package PathwaySpace with initial version 0.99.4
Package: PathwaySpace
Title: Spatial Projection of Network Signals along Geodesic Paths
Version: 0.99.4
Depends: R(>= 4.4), methods, RGraphSpace
Imports: grDevices, stats, scales, igraph, RANN, ggplot2, ggrepel
Suggests: knitr, rmarkdown, testthat, RedeR
Description: For a given graph containing vertices, edges, and a signal associated with the vertices, the 'PathwaySpace' package performs a convolution operation, which involves a weighted combination of neighboring vertices and their associated signals. The package then uses a decay function to project these signals, creating geodesic paths on a 2D-image space. 'PathwaySpace' could have various applications, such as visualizing and analyzing network data in a graphical format that highlights the relationships and signal strengths between vertices. It can be particularly useful for understanding the influence of signals through complex networks. By combining graph theory, signal processing, and visualization, the 'PathwaySpace' package provides a novel way of representing and analyzing graph data.
License: Artistic-2.0
VignetteBuilder: knitr
URL: https://github.com/sysbiolab/PathwaySpace
BugReports: https://github.com/sysbiolab/PathwaySpace/issues
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-08-29 16:55:28 UTC; maac
Author: Vinicius Chagas [ctr], Victor Apolonio [ctr], Mauro Castro [aut, cre]
Maintainer: Mauro Castro <mauro.a.castro@gmail.com>
Repository: CRAN
Date/Publication: 2024-09-03 15:30:02 UTC

More information about PathwaySpace at CRAN
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Package nexus updated to version 0.3.0 with previous version 0.2.0 dated 2024-02-26

Title: Sourcing Archaeological Materials by Chemical Composition
Description: Exploration and analysis of compositional data in the framework of Aitchison (1986, ISBN: 978-94-010-8324-9). This package provides tools for chemical fingerprinting and source tracking of ancient materials.
Author: Nicolas Frerebeau [aut, cre] , Anne Philippe [aut] , Brice Lebrun [ctb] , Arthur Leck [ctb] , Universite Bordeaux Montaigne [fnd], CNRS [fnd]
Maintainer: Nicolas Frerebeau <nicolas.frerebeau@u-bordeaux-montaigne.fr>

Diff between nexus versions 0.2.0 dated 2024-02-26 and 0.3.0 dated 2024-09-03

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New package mregions2 with initial version 1.1.1
Package: mregions2
Title: Access Data from Marineregions.org: Gazetteer & Data Products
Version: 1.1.1
Maintainer: Salvador Jesus Fernandez Bejarano <salvador.fernandez@vliz.be>
Description: Explore and retrieve marine geospatial data from the Marine Regions Gazetteer <https://marineregions.org/gazetteer.php?p=webservices> and the Marine Regions Data Products <https://marineregions.org/webservices.php>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: checkmate, glue, httr2, magrittr, sf, utils, rdflib, ISOcodes, memoise, cli, dplyr, xml2, wrapr, methods, curl, digest
URL: https://github.com/ropensci/mregions2, https://docs.ropensci.org/mregions2/
BugReports: https://github.com/ropensci/mregions2/issues
Suggests: ows4R (>= 0.3), httptest2, jsonlite, knitr, leaflet, leaflet.extras2, mapview, rmarkdown, testthat, wk, purrr, withr
VignetteBuilder: knitr
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2024-08-30 09:33:55 UTC; localadmin
Author: Salvador Jesus Fernandez Bejarano [aut, cre] , Lotte Pohl [aut] , Julia Gustavsen [rev], Muralidhar M.A. [rev], Sheila M. Saia [rev], LifeWatch Belgium [fnd]
Repository: CRAN
Date/Publication: 2024-09-03 16:00:07 UTC

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New package MMGFM with initial version 1.1.0
Package: MMGFM
Title: Multi-Study Multi-Modality Generalized Factor Model
Version: 1.1.0
Date: 2024-08-25
Author: Wei Liu [aut, cre], Qingzhi Zhong [aut]
Maintainer: Wei Liu <liuwei8@scu.edu.cn>
Description: We introduce a generalized factor model designed to jointly analyze high-dimensional multi-modality data from multiple studies by extracting study-shared and specified factors. Our factor models account for heterogeneous noises and overdispersion among modality variables with augmented covariates. We propose an efficient and speedy variational estimation procedure for estimating model parameters, along with a novel criterion for selecting the optimal number of factors. More details can be referred to Liu et al. (2024) <doi:10.48550/arXiv.2408.10542>.
License: GPL-3
Depends: irlba, R (>= 3.5.0)
Imports: MASS, stats, GFM, MultiCOAP, Rcpp (>= 1.0.10)
Suggests: knitr, rmarkdown
LinkingTo: Rcpp, RcppArmadillo
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2024-08-30 00:46:32 UTC; Liuxianju
Repository: CRAN
Date/Publication: 2024-09-03 15:50:10 UTC

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New package lnmixsurv with initial version 3.1.6
Package: lnmixsurv
Title: Bayesian Mixture Log-Normal Survival Model
Version: 3.1.6
Date: 2024-08-21
Description: Bayesian Survival models via the mixture of Log-Normal distribution extends the well-known survival models and accommodates different behaviour over time and considers higher censored survival times. The proposal combines mixture distributions Fruhwirth-Schnatter(2006) <doi:10.1007/s11336-009-9121-4>, and data augmentation techniques Tanner and Wong (1987) <doi:10.1080/01621459.1987.10478458>.
License: MIT + file LICENSE
Imports: stats, posterior, hardhat (>= 1.3.0), rlang, generics, dplyr, readr, purrr, tidyr, tibble, Rcpp, RcppParallel, tidyselect, broom
LinkingTo: Rcpp, RcppArmadillo, RcppGSL, RcppParallel
Depends: parsnip (>= 1.1.0), R (>= 4.1.0), survival, ggplot2
Suggests: ggsurvfit, plotly, bayesplot, censored, knitr, rmarkdown, tidymodels, testthat (>= 3.0.0), covr, withr, pec
Encoding: UTF-8
SystemRequirements: C++, GNU, GNU make, GSL
VignetteBuilder: knitr
LazyData: true
URL: https://vivianalobo.github.io/lnmixsurv/
NeedsCompilation: yes
Packaged: 2024-08-29 14:15:49 UTC; victorney
Author: Viviana das Gracas Ribeiro Lobo [aut], Thais Cristina Oliveira da Fonseca [aut], Mariane Branco Alves [aut], Vitor Capdeville [aut], Victor Hugo Soares Ney [cre]
Maintainer: Victor Hugo Soares Ney <victor.s.ney@gmail.com>
Repository: CRAN
Date/Publication: 2024-09-03 15:20:08 UTC

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New package EquiTrends with initial version 1.0.0
Package: EquiTrends
Title: Equivalence Testing for Pre-Trends in Difference-in-Differences Designs
Version: 1.0.0
Maintainer: Ties Bos <tc.bos@student.maastrichtuniversity.nl>
Description: Testing for parallel trends is crucial in the Difference-in-Differences framework. To this end, this package performs equivalence testing in the context of Difference-in-Differences estimation. It allows users to test if pre-treatment trends in the treated group are “equivalent” to those in the control group. Here, “equivalence” means that rejection of the null hypothesis implies that a function of the pre-treatment placebo effects (maximum absolute, average or root mean squared value) does not exceed a pre-specified threshold below which trend differences are considered negligible. The package is based on the theory developed in Dette & Schumann (2024) <doi:10.1080/07350015.2024.2308121>.
License: MIT + file LICENSE
Imports: clubSandwich, nloptr, dplyr, rlang, plm, Rcpp (>= 1.0.12), RcppParallel, stats, VGAM
LinkingTo: Rcpp, RcppArmadillo, RcppParallel
URL: https://github.com/TiesBos/EquiTrends
BugReports: https://github.com/TiesBos/EquiTrends/issues
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
NeedsCompilation: yes
Packaged: 2024-08-29 17:40:12 UTC; tiesbos
Author: Ties Bos [aut, cre], Martin Schumann [ctb]
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2024-09-03 15:40:02 UTC

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New package eodhdR2 with initial version 0.5.0
Package: eodhdR2
Title: Official R API for Fetching Data from 'EODHD'
Version: 0.5.0
Maintainer: Marcelo S. Perlin <marceloperlin@gmail.com>
Description: Second and backward-incompatible version of R package 'eodhd' <https://eodhd.com/>, extended with a cache and quota system, also offering functions for cleaning and aggregating the financial data.
License: MIT + file LICENSE
URL: https://github.com/EodHistoricalData/R-Library-for-financial-data-2024
BugReports: https://github.com/EodHistoricalData/R-Library-for-financial-data-2024/issues
Encoding: UTF-8
Suggests: knitr, rmarkdown, cli, dplyr, fs, glue, httr, jsonlite, lubridate, purrr, readr, tidyr, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2024-08-29 13:24:04 UTC; msperlin
Author: Marcelo S. Perlin [aut, cre, ctr], Unicorn Data Services [cph]
Repository: CRAN
Date/Publication: 2024-09-03 15:10:02 UTC

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Package EBcoBART updated to version 1.0.2 with previous version 1.0.1 dated 2024-09-02

Title: Co-Data Learning for Bayesian Additive Regression Trees
Description: Estimate prior variable weights for Bayesian Additive Regression Trees (BART). These weights correspond to the probabilities of the variables being selected in the splitting rules of the sum-of-trees. Weights are estimated using empirical Bayes and external information on the explanatory variables (co-data). BART models are fitted using the 'dbarts' 'R' package. See Goedhart and others (2023) <doi:10.48550/arXiv.2311.09997> for details.
Author: Jeroen M. Goedhart [aut, cre, cph] , Thomas Klausch [aut], Mark A. van de Wiel [aut], Vincent Dorie [ctb] , Hanarth Fonds [fnd]
Maintainer: Jeroen M. Goedhart <jeroengoed@gmail.com>

Diff between EBcoBART versions 1.0.1 dated 2024-09-02 and 1.0.2 dated 2024-09-03

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Package automap updated to version 1.1-12 with previous version 1.1-9 dated 2023-03-23

Title: Automatic Interpolation Package
Description: An automatic interpolation is done by automatically estimating the variogram and then calling gstat. An overview is given by Hiemstra et al (2008) <doi:10.1016/j.cageo.2008.10.011>.
Author: Paul Hiemstra [aut], Jon Olav Skoien [aut, cre]
Maintainer: Jon Olav Skoien <jon.skoien@gmail.com>

Diff between automap versions 1.1-9 dated 2023-03-23 and 1.1-12 dated 2024-09-03

 DESCRIPTION                  |    8 ++++----
 MD5                          |   10 +++++-----
 tests/autoKrige.cv.R         |    3 ++-
 tests/autoKrige.cv.Rout.save |    3 ++-
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 6 files changed, 17 insertions(+), 14 deletions(-)

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Package tgp updated to version 2.4-23 with previous version 2.4-22.1 dated 2024-08-17

Title: Bayesian Treed Gaussian Process Models
Description: Bayesian nonstationary, semiparametric nonlinear regression and design by treed Gaussian processes (GPs) with jumps to the limiting linear model (LLM). Special cases also implemented include Bayesian linear models, CART, treed linear models, stationary separable and isotropic GPs, and GP single-index models. Provides 1-d and 2-d plotting functions (with projection and slice capabilities) and tree drawing, designed for visualization of tgp-class output. Sensitivity analysis and multi-resolution models are supported. Sequential experimental design and adaptive sampling functions are also provided, including ALM, ALC, and expected improvement. The latter supports derivative-free optimization of noisy black-box functions. For details and tutorials, see Gramacy (2007) <doi:10.18637/jss.v019.i09> and Gramacy & Taddy (2010) <doi:10.18637/jss.v033.i06>.
Author: Robert B. Gramacy [aut, cre], Matt A. Taddy [aut]
Maintainer: Robert B. Gramacy <rbg@vt.edu>

Diff between tgp versions 2.4-22.1 dated 2024-08-17 and 2.4-23 dated 2024-09-03

 ChangeLog          |    6 +++++
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 29 files changed, 157 insertions(+), 148 deletions(-)

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New package sdtm.oak with initial version 0.1.0
Package: sdtm.oak
Title: SDTM Data Transformation Engine
Version: 0.1.0
Maintainer: Rammprasad Ganapathy <ganapathy.rammprasad@gene.com>
Description: An Electronic Data Capture system (EDC) and Data Standard agnostic solution that enables the pharmaceutical programming community to develop Clinical Data Interchange Standards Consortium (CDISC) Study Data Tabulation Model (SDTM) datasets in R. The reusable algorithms concept in 'sdtm.oak' provides a framework for modular programming and can potentially automate the conversion of raw clinical data to SDTM through standardized SDTM specifications. SDTM is one of the required standards for data submission to the Food and Drug Administration (FDA) in the United States and Pharmaceuticals and Medical Devices Agency (PMDA) in Japan. SDTM standards are implemented following the SDTM Implementation Guide as defined by CDISC <https://www.cdisc.org/standards/foundational/sdtmig>.
Language: en-US
License: Apache License (>= 2)
Copyright: F. Hoffmann-La Roche AG, Pattern Institute, Atorus Research LLC and Transition Technologies Science sp. z o.o.
BugReports: https://github.com/pharmaverse/sdtm.oak/issues/
URL: https://pharmaverse.github.io/sdtm.oak/
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.2)
Imports: admiraldev (>= 1.1.0), dplyr (>= 1.0.0), purrr (>= 1.0.1), tidyr (>= 1.2.0), rlang (>= 1.0.2), tibble (>= 3.2.0), vctrs (>= 0.5.0), stringr (>= 1.4.0), assertthat, pillar, cli
Suggests: knitr, htmltools, lifecycle, magrittr, rmarkdown, spelling, testthat (>= 3.1.7), DT, readr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-08-29 00:16:07 UTC; ganapar1
Author: Rammprasad Ganapathy [aut, cre], Adam Forys [aut], Edgar Manukyan [aut], Rosemary Li [aut], Preetesh Parikh [aut], Lisa Houterloot [aut], Yogesh Gupta [aut], Omar Garcia [aut], Ramiro Magno [aut] , Kamil Sijko [aut] , Shiyu Chen [aut], Pattern Instit [...truncated...]
Repository: CRAN
Date/Publication: 2024-09-03 14:40:02 UTC

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New package RWNN with initial version 0.4
Package: RWNN
Title: Random Weight Neural Networks
Version: 0.4
Date: 2024-08-29
Description: Creation, estimation, and prediction of random weight neural networks (RWNN), Schmidt et al. (1992) <doi:10.1109/ICPR.1992.201708>, including popular variants like extreme learning machines, Huang et al. (2006) <doi:10.1016/j.neucom.2005.12.126>, sparse RWNN, Zhang et al. (2019) <doi:10.1016/j.neunet.2019.01.007>, and deep RWNN, Henríquez et al. (2018) <doi:10.1109/IJCNN.2018.8489703>. It further allows for the creation of ensemble RWNNs like bagging RWNN, Sui et al. (2021) <doi:10.1109/ECCE47101.2021.9595113>, boosting RWNN, stacking RWNN, and ensemble deep RWNN, Shi et al. (2021) <doi:10.1016/j.patcog.2021.107978>.
License: MIT + file LICENSE
Imports: methods, quadprog, randtoolbox, Rcpp (>= 1.0.4.6), stats, utils
LinkingTo: Rcpp, RcppArmadillo
Encoding: UTF-8
Suggests: tinytest
Depends: R (>= 4.1.0)
LazyData: true
NeedsCompilation: yes
Packaged: 2024-08-29 07:03:46 UTC; svilsen
Author: Soeren B. Vilsen [aut, cre]
Maintainer: Soeren B. Vilsen <svilsen@math.aau.dk>
Repository: CRAN
Date/Publication: 2024-09-03 14:50:06 UTC

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Package rgrass updated to version 0.4-4 with previous version 0.4-3 dated 2024-06-19

Title: Interface Between 'GRASS' Geographical Information System and 'R'
Description: An interface between the 'GRASS' geographical information system ('GIS') and 'R', based on starting 'R' from within the 'GRASS' 'GIS' environment, or running a free-standing 'R' session in a temporary 'GRASS' location; the package provides facilities for using all 'GRASS' commands from the 'R' command line. The original interface package for 'GRASS 5' (2000-2010) is described in Bivand (2000) <doi:10.1016/S0098-3004(00)00057-1> and Bivand (2001) <https://www.r-project.org/conferences/DSC-2001/Proceedings/Bivand.pdf>. This was succeeded by 'spgrass6' for 'GRASS 6' (2006-2016) and 'rgrass7' for 'GRASS 7' (2015-present). The 'rgrass' package modernizes the interface for 'GRASS 8' while still permitting the use of 'GRASS 7'.
Author: Roger Bivand [cre, aut] , Rainer Krug [ctb] , Robin Lovelace [ctb] , Markus Neteler [ctb] , Sebastian Jeworutzki [ctb] , Floris Vanderhaeghe [ctb]
Maintainer: Roger Bivand <Roger.Bivand@nhh.no>

Diff between rgrass versions 0.4-3 dated 2024-06-19 and 0.4-4 dated 2024-09-03

 DESCRIPTION                    |    8 ++++----
 MD5                            |   12 ++++++------
 inst/doc/coerce.html           |    6 +++---
 tests/test_XML_xml2.R          |    8 +++++---
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 tests/test_terra_ptr.R         |    2 +-
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 7 files changed, 33 insertions(+), 35 deletions(-)

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New package ProSportsDraftData with initial version 1.0.3
Package: ProSportsDraftData
Title: Professional Sports Draft Data
Version: 1.0.3
Author: Benjamin Ginsburg [aut, cre]
Maintainer: Benjamin Ginsburg <benjamin.ginsburg@du.edu>
Description: We provide comprehensive draft data for major professional sports leagues, including the National Football League (NFL), National Basketball Association (NBA), and National Hockey League (NHL). It offers access to both historical and current draft data, allowing for detailed analysis and research on player biases and player performance. The package is useful for sports fans and researchers interested in identifying biases and trends within scouting reports. Created by web scraping data from leading websites that cover professional sports player scouting reports, the package allows users to filter and summarize data for analytical purposes. For further details on the methods used, please refer to Wickham (2022) "rvest: Easily Harvest (Scrape) Web Pages" <https://CRAN.R-project.org/package=rvest> and Harrison (2023) "RSelenium: R Bindings for Selenium WebDriver" <https://CRAN.R-project.org/package=RSelenium>.
Encoding: UTF-8
LazyData: true
URL: https://github.com/Ginsburg1/ProSportsDraftData
BugReports: https://github.com/Ginsburg1/ProSportsDraftData/issues
Imports: dplyr, stats
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Depends: R (>= 3.5.0)
VignetteBuilder: knitr
License: GPL-3
NeedsCompilation: no
Packaged: 2024-08-28 22:16:16 UTC; benjaminginsburg
Repository: CRAN
Date/Publication: 2024-09-03 14:30:08 UTC

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New package CongressData with initial version 1.5.4
Package: CongressData
Title: A Functional Tool for 'CongressData'
Version: 1.5.4
Description: A tool that imports, subsets, and exports the 'CongressData' dataset. 'CongressData' contains approximately 800 variables concerning all US congressional districts with data back to 1789. The dataset tracks district characteristics, members of Congress, and the political behavior of those members. Users with only a basic understanding of R can subset this data across multiple dimensions, export their search results, identify the citations associated with their searches, and more.
License: GPL-3
Encoding: UTF-8
Language: en-US
Depends: R (>= 3.50)
Imports: stringr, dplyr, rlang, fst, curl, tidyselect
NeedsCompilation: no
Packaged: 2024-08-29 01:12:26 UTC; caleb
Author: Caleb Lucas [aut, cre], Ben Yoel [ctb]
Maintainer: Caleb Lucas <calebjlucas@gmail.com>
Repository: CRAN
Date/Publication: 2024-09-03 14:40:11 UTC

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Package cartogramR updated to version 1.2-0 with previous version 1.1-0 dated 2024-07-26

Title: Continuous Cartogram
Description: Procedures for making continuous cartogram. Procedures available are: flow based cartogram (Gastner & Newman (2004) <doi:10.1073/pnas.0400280101>), fast flow based cartogram (Gastner, Seguy & More (2018) <doi:10.1073/pnas.1712674115>), rubber band based cartogram (Dougenik et al. (1985) <doi:10.1111/j.0033-0124.1985.00075.x>).
Author: Pierre-Andre Cornillon [aut, cre], Florent Demoraes [aut], Flow-Based-Cartograms [cph]
Maintainer: Pierre-Andre Cornillon <pierre-andre.cornillon@univ-rennes2.fr>

Diff between cartogramR versions 1.1-0 dated 2024-07-26 and 1.2-0 dated 2024-09-03

 cartogramR-1.1-0/cartogramR/man/geom_cartogramR-deprecated.Rd |only
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 cartogramR-1.2-0/cartogramR/R/cartogramR.R                    |    2 
 cartogramR-1.2-0/cartogramR/R/cartogramR_options.R            |   13 
 cartogramR-1.2-0/cartogramR/R/geom_cartogramR.R               |    2 
 cartogramR-1.2-0/cartogramR/R/make_layer.R                    |   12 
 cartogramR-1.2-0/cartogramR/man/cartogramR-deprecated.Rd      |   32 ++
 cartogramR-1.2-0/cartogramR/man/cartogramR_options.Rd         |    2 
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 cartogramR-1.2-0/cartogramR/src/cartogram.h                   |   25 -
 cartogramR-1.2-0/cartogramR/src/cartogramR.c                  |  144 ++++++++--
 cartogramR-1.2-0/cartogramR/src/diff_integrate.c              |   48 ++-
 cartogramR-1.2-0/cartogramR/src/ffb_integrate.c               |  102 ++++---
 14 files changed, 294 insertions(+), 154 deletions(-)

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New package clintrialx with initial version 0.1.0
Package: clintrialx
Title: Connect and Work with Clinical Trials Data Sources
Version: 0.1.0
Maintainer: Indraneel Chakraborty <hello.indraneel@gmail.com>
Description: Are you spending too much time fetching and managing clinical trial data? Struggling with complex queries and bulk data extraction? What if you could simplify this process with just a few lines of code? Introducing 'clintrialx' - Fetch clinical trial data from sources like 'ClinicalTrials.gov' <https://clinicaltrials.gov/> and the 'Clinical Trials Transformation Initiative - Access to Aggregate Content of ClinicalTrials.gov' database <https://aact.ctti-clinicaltrials.org/>, supporting pagination and bulk downloads. Also, you can generate HTML reports based on the data obtained from the sources!
License: Apache License 2.0
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: httr, lubridate, readr, dplyr, progress, RPostgreSQL, tibble, DBI, rmarkdown, xfun (>= 0.44)
Suggests: knitr
VignetteBuilder: knitr
URL: http://www.indraneelchakraborty.com/clintrialx/
NeedsCompilation: no
Packaged: 2024-08-28 19:06:35 UTC; neel0
Author: Indraneel Chakraborty [aut, cre]
Repository: CRAN
Date/Publication: 2024-09-03 14:40:06 UTC

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Package happign updated to version 0.3.1 with previous version 0.3.0 dated 2024-05-07

Title: R Interface to 'IGN' Web Services
Description: Automatic open data acquisition from resources of IGN ('Institut National de Information Geographique et forestiere') (<https://www.ign.fr/>). Available datasets include various types of raster and vector data, such as digital elevation models, state borders, spatial databases, cadastral parcels, and more. There also access to point clouds data ('LIDAR') and specifics API (<https://apicarto.ign.fr/api/doc/>).
Author: Paul Carteron [aut, cre]
Maintainer: Paul Carteron <carteronpaul@gmail.com>

Diff between happign versions 0.3.0 dated 2024-05-07 and 0.3.1 dated 2024-09-03

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Package quanteda.textstats updated to version 0.97.2 with previous version 0.97.1 dated 2024-08-27

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] , Kohei Watanabe [aut] , Haiyan Wang [aut] , Jiong Wei Lua [aut], Jouni Kuha [aut] , European Research Council [fnd]
Maintainer: Kenneth Benoit <kbenoit@lse.ac.uk>

Diff between quanteda.textstats versions 0.97.1 dated 2024-08-27 and 0.97.2 dated 2024-09-03

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Package mvtnorm updated to version 1.3-1 with previous version 1.3-0 dated 2024-08-30

Title: Multivariate Normal and t Distributions
Description: Computes multivariate normal and t probabilities, quantiles, random deviates, and densities. Log-likelihoods for multivariate Gaussian models and Gaussian copulae parameterised by Cholesky factors of covariance or precision matrices are implemented for interval-censored and exact data, or a mix thereof. Score functions for these log-likelihoods are available. A class representing multiple lower triangular matrices and corresponding methods are part of this package.
Author: Alan Genz [aut], Frank Bretz [aut], Tetsuhisa Miwa [aut], Xuefei Mi [aut], Friedrich Leisch [ctb], Fabian Scheipl [ctb], Bjoern Bornkamp [ctb] , Martin Maechler [ctb] , Torsten Hothorn [aut, cre]
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

Diff between mvtnorm versions 1.3-0 dated 2024-08-30 and 1.3-1 dated 2024-09-03

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Package folio updated to version 1.5.0 with previous version 1.4.0 dated 2024-02-26

Title: Datasets for Teaching Archaeology and Paleontology
Description: Datasets for teaching quantitative approaches and modeling in archaeology and paleontology. This package provides several types of data related to broad topics (cultural evolution, radiocarbon dating, paleoenvironments, etc.), which can be used to illustrate statistical methods in the classroom (multivariate data analysis, compositional data analysis, diversity measurement, etc.).
Author: Nicolas Frerebeau [aut, cre] , Brice Lebrun [ctb] , Universite Bordeaux Montaigne [fnd], CNRS [fnd]
Maintainer: Nicolas Frerebeau <nicolas.frerebeau@u-bordeaux-montaigne.fr>

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Package CondCopulas updated to version 0.1.4.1 with previous version 0.1.3 dated 2023-09-26

Title: Estimation and Inference for Conditional Copula Models
Description: Provides functions for the estimation of conditional copulas models, various estimators of conditional Kendall's tau (proposed in Derumigny and Fermanian (2019a, 2019b, 2020) <doi:10.1515/demo-2019-0016>, <doi:10.1016/j.csda.2019.01.013>, <doi:10.1016/j.jmva.2020.104610>), and test procedures for the simplifying assumption (proposed in Derumigny and Fermanian (2017) <doi:10.1515/demo-2017-0011> and Derumigny, Fermanian and Min (2022) <doi:10.1002/cjs.11742>).
Author: Alexis Derumigny [aut, cre] , Jean-David Fermanian [ctb, ths] , Aleksey Min [ctb] , Rutger van der Spek [ctb]
Maintainer: Alexis Derumigny <a.f.f.derumigny@tudelft.nl>

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Package box.linters updated to version 0.10.4 with previous version 0.10.3 dated 2024-08-21

Title: Linters for 'box' Modules
Description: Static code analysis of 'box' modules. The package enhances code quality by providing linters that check for common issues, enforce best practices, and ensure consistent coding standards.
Author: Ricardo Rodrigo Basa [aut, cre], Jakub Nowicki [aut], Mateusz Kolomanski [ctb], Appsilon Sp. z o.o. [cph]
Maintainer: Ricardo Rodrigo Basa <opensource+rodrigo@appsilon.com>

Diff between box.linters versions 0.10.3 dated 2024-08-21 and 0.10.4 dated 2024-09-03

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Package PlotTools updated to version 0.3.1 with previous version 0.3.0 dated 2023-10-30

Title: Add Continuous Legends to Plots
Description: Annotate plots with legends for continuous variables and colour spectra using the base graphics plotting tools; and manipulate irregular polygons.
Author: Martin R. Smith [aut, cre, cph]
Maintainer: Martin R. Smith <martin.smith@durham.ac.uk>

Diff between PlotTools versions 0.3.0 dated 2023-10-30 and 0.3.1 dated 2024-09-03

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Package LWFBrook90R updated to version 0.6.0 with previous version 0.5.3 dated 2023-10-16

Title: Simulate Evapotranspiration and Soil Moisture with the SVAT Model LWF-Brook90
Description: Provides a flexible and easy-to use interface for the soil vegetation atmosphere transport (SVAT) model LWF-BROOK90, written in Fortran. The model simulates daily transpiration, interception, soil and snow evaporation, streamflow and soil water fluxes through a soil profile covered with vegetation, as described in Hammel & Kennel (2001, ISBN:978-3-933506-16-0) and Federer et al. (2003) <doi:10.1175/1525-7541(2003)004%3C1276:SOAETS%3E2.0.CO;2>. A set of high-level functions for model set up, execution and parallelization provides easy access to plot-level SVAT simulations, as well as multi-run and large-scale applications.
Author: Paul Schmidt-Walter [aut, cre] , Volodymyr Trotsiuk [aut] , Klaus Hammel [aut], Martin Kennel [aut], Anthony Federer [aut], Tobias Hohenbrink [aut] , Gisbert Hetkamp [aut], Robert Nuske [ctb] , Bavarian State Institute of Forestry [cph, fnd], Northw [...truncated...]
Maintainer: Paul Schmidt-Walter <paulsw@posteo.de>

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Package GGIR updated to version 3.1-4 with previous version 3.1-2 dated 2024-07-02

Title: Raw Accelerometer Data Analysis
Description: A tool to process and analyse data collected with wearable raw acceleration sensors as described in Migueles and colleagues (JMPB 2019), and van Hees and colleagues (JApplPhysiol 2014; PLoSONE 2015). The package has been developed and tested for binary data from 'GENEActiv' <https://activinsights.com/>, binary (.gt3x) and .csv-export data from 'Actigraph' <https://theactigraph.com> devices, and binary (.cwa) and .csv-export data from 'Axivity' <https://axivity.com>. These devices are currently widely used in research on human daily physical activity. Further, the package can handle accelerometer data file from any other sensor brand providing that the data is stored in csv format. Also the package allows for external function embedding.
Author: Vincent T van Hees [aut, cre], Jairo H Migueles [aut] , Severine Sabia [ctb], Matthew R Patterson [ctb], Zhou Fang [ctb], Joe Heywood [ctb], Joan Capdevila Pujol [ctb], Lena Kushleyeva [ctb], Mathilde Chen [ctb], Manasa Yerramalla [ctb], Patrick Bos [...truncated...]
Maintainer: Vincent T van Hees <v.vanhees@accelting.com>

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Package rshift updated to version 3.1.0 with previous version 3.0.0 dated 2023-10-17

Title: Paleoecology Functions for Regime Shift Analysis
Description: Contains a variety of functions, based around regime shift analysis of paleoecological data. Citations: Rodionov() from Rodionov (2004) <doi:10.1029/2004GL019448> Lanzante() from Lanzante (1996) <doi:10.1002/(SICI)1097-0088(199611)16:11%3C1197::AID-JOC89%3E3.0.CO;2-L> Hellinger_trans from Numerical Ecology, Legendre & Legendre (ISBN 9780444538680) rolling_autoc from Liu, Gao & Wang (2018) <doi:10.1016/j.scitotenv.2018.06.276> Sample data sets lake_data & lake_RSI processed from Bush, Silman & Urrego (2004) <doi:10.1126/science.1090795> Sample data set January_PDO from NOAA: <https://www.ncei.noaa.gov/access/monitoring/pdo/>.
Author: Alex H. Room [aut, cre, cph] , Felipe Franco-Gaviria [ctb, fnd] , Dunia H. Urrego [ctb, fnd] , The authors of the dependency Rust crates [ctb]
Maintainer: Alex H. Room <alexhroom+cran@protonmail.com>

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Package landsepi updated to version 1.5.0 with previous version 1.4.0 dated 2024-03-12

Title: Landscape Epidemiology and Evolution
Description: A stochastic, spatially-explicit, demo-genetic model simulating the spread and evolution of a plant pathogen in a heterogeneous landscape to assess resistance deployment strategies. It is based on a spatial geometry for describing the landscape and allocation of different cultivars, a dispersal kernel for the dissemination of the pathogen, and a SEIR ('Susceptible-Exposed-Infectious-Removed’) structure with a discrete time step. It provides a useful tool to assess the performance of a wide range of deployment options with respect to their epidemiological, evolutionary and economic outcomes. Loup Rimbaud, Julien Papaïx, Jean-François Rey, Luke G Barrett, Peter H Thrall (2018) <doi:10.1371/journal.pcbi.1006067>.
Author: Loup Rimbaud [aut] , Marta Zaffaroni [aut] , Jean-Francois Rey [aut, cre] , Julien Papaix [aut], Jean-Loup Gaussen [ctb], Manon Couty [ctb]
Maintainer: Jean-Francois Rey <jean-francois.rey@inrae.fr>

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Package DOYPAColors updated to version 0.0.2 with previous version 0.0.1 dated 2023-11-04

Title: Don't Overthink Your Palette of Colors
Description: Access diverse 'ggplot2'-compatible color palettes for simplified data visualization.
Author: Jorge Mestre [aut, cre]
Maintainer: Jorge Mestre <jorge.mestre.tomas@csic.es>

Diff between DOYPAColors versions 0.0.1 dated 2023-11-04 and 0.0.2 dated 2024-09-03

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Package adelie updated to version 1.0.2 with previous version 1.0.1 dated 2024-06-20

Title: Group Lasso and Elastic Net Solver for Generalized Linear Models
Description: Extremely efficient procedures for fitting the entire group lasso and group elastic net regularization path for GLMs, multinomial, the Cox model and multi-task Gaussian models. Similar to the R package glmnet in scope of models, and in computational speed. This package provides R bindings to the C++ code underlying the corresponding Python package 'adelie'. These bindings offer a general purpose group elastic net solver, a wide range of matrix classes that can exploit special structure to allow large-scale inputs, and an assortment of generalized linear model classes for fitting various types of data. The package includes The package is an implementation of Yang, J. and Hastie, T. (2024) <doi:10.48550/arXiv.2405.08631>.
Author: James Yang [aut, cph], Trevor Hastie [aut, cph, cre], Balasubramanian Narasimhan [aut]
Maintainer: Trevor Hastie <hastie@stanford.edu>

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Package goldfish updated to version 1.6.10 with previous version 1.6.8 dated 2024-04-11

Title: Statistical Network Models for Dynamic Network Data
Description: Tools for fitting statistical network models to dynamic network data. Can be used for fitting both dynamic network actor models ('DyNAMs') and relational event models ('REMs'). Stadtfeld, Hollway, and Block (2017a) <doi:10.1177/0081175017709295>, Stadtfeld, Hollway, and Block (2017b) <doi:10.1177/0081175017733457>, Stadtfeld and Block (2017) <doi:10.15195/v4.a14>, Hoffman et al. (2020) <doi:10.1017/nws.2020.3>.
Author: James Hollway [aut, dtc] , Christoph Stadtfeld [aut, dtc], Marion Hoffman [aut], Alvaro Uzaheta [cre, aut] , Mirko Reul [ctb], Timon Elmer [ctb], Kieran Mepham [ctb], Per Block [ctb], Xiaolei Zhang [ctb], Weigutian Ou [ctb], Emily Garvin [ctb], Siwei [...truncated...]
Maintainer: Alvaro Uzaheta <ualvaro@ethz.ch>

Diff between goldfish versions 1.6.8 dated 2024-04-11 and 1.6.10 dated 2024-09-03

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Package Rilostat updated to version 2.2.0 with previous version 2.1.0 dated 2024-05-23

Title: ILO Open Data via Ilostat Bulk Download Facility
Description: Tools to download data from the ilostat database <https://ilostat.ilo.org> together with search and manipulation utilities.
Author: David Bescond [aut, cre] , Mabelin Villarreal-Fuentes [ctb] , ILO Department of Statistics [cph, fnd]
Maintainer: David Bescond <bescond@ilo.org>

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Package lgrExtra updated to version 0.0.9 with previous version 0.0.8 dated 2023-01-06

Title: Extra Appenders for 'lgr'
Description: Additional appenders for the logging package 'lgr' that support logging to databases, email and push notifications.
Author: Stefan Fleck [aut, cre]
Maintainer: Stefan Fleck <stefan.b.fleck@gmail.com>

Diff between lgrExtra versions 0.0.8 dated 2023-01-06 and 0.0.9 dated 2024-09-03

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Package KLINK updated to version 1.0.2 with previous version 1.0.1 dated 2024-08-19

Title: Kinship Analysis with Linked Markers
Description: A 'shiny' application for forensic kinship testing, based on the 'pedsuite' R packages. 'KLINK' is closely aligned with the (non-R) software 'Familias' and 'FamLink', but offers several unique features, including visualisations and automated report generation. The calculation of likelihood ratios supports pairs of linked markers, and all common mutation models.
Author: Magnus Dehli Vigeland [aut, cre]
Maintainer: Magnus Dehli Vigeland <m.d.vigeland@medisin.uio.no>

Diff between KLINK versions 1.0.1 dated 2024-08-19 and 1.0.2 dated 2024-09-03

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Package HDTSA updated to version 1.0.4 with previous version 1.0.3 dated 2024-06-04

Title: High Dimensional Time Series Analysis Tools
Description: Procedures for high-dimensional time series analysis including factor analysis proposed by Lam and Yao (2012) <doi:10.1214/12-AOS970> and Chang, Guo and Yao (2015) <doi:10.1016/j.jeconom.2015.03.024>,martingale difference test proposed by Chang, Jiang and Shao (2022) <doi:10.1016/j.jeconom.2022.09.001> in press,principal component analysis proposed by Chang, Guo and Yao (2018) <doi:10.1214/17-AOS1613>, identifying cointegration proposed by Zhang, Robinson and Yao (2019) <doi:10.1080/01621459.2018.1458620>, unit root test proposed by Chang, Cheng and Yao (2021) <doi:10.1093/biomet/asab034>, white noise test proposed by Chang, Yao and Zhou (2017) <doi:10.1093/biomet/asw066>, CP-decomposition for high-dimensional matrix time series proposed by Chang, He, Yang and Yao(2023) <doi:10.1093/jrsssb/qkac011> and Chang, Du, Huang and Yao (2024+), and Statistical inference for high-dimensional spectral density matrix porposed by Chang, Jiang, McElroy [...truncated...]
Author: Chen Lin [aut, cre], Jinyuan Chang [aut], Qiwei Yao [aut]
Maintainer: Chen Lin <linchen@smail.swufe.edu.cn>

Diff between HDTSA versions 1.0.3 dated 2024-06-04 and 1.0.4 dated 2024-09-03

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New package GeoFIS with initial version 1.1.0
Package: GeoFIS
Title: Spatial Data Processing for Decision Making
Version: 1.1.0
Author: Serge Guillaume [aut], Jean-Luc Lablee [aut, cre], INRAE [cph]
Maintainer: Jean-Luc Lablee <jean-luc.lablee@inrae.fr>
URL: https://www.geofis.org
Description: Methods for processing spatial data for decision-making. This package is an R implementation of methods provided by the open source software GeoFIS <https://www.geofis.org> (Leroux et al. 2018) <doi:10.3390/agriculture8060073>. The main functionalities are the management zone delineation (Pedroso et al. 2010) <doi:10.1016/j.compag.2009.10.007> and data aggregation (Mora-Herrera et al. 2020) <doi:10.1016/j.compag.2020.105624>.
License: CeCILL
Encoding: UTF-8
Depends: R (>= 4.0.0), sp, data.tree, FisPro (>= 1.1.0)
Imports: methods, utils, stats, Rdpack, foreach, R6, Rcpp, magrittr, sf, nnls, itertools, purrr
SystemRequirements: GNU make, C++17, gmp, mpfr
NeedsCompilation: yes
LinkingTo: Rcpp, BH, FisPro
Suggests: testthat, rlang, knitr, rmarkdown, RColorBrewer, R.rsp
VignetteBuilder: knitr, R.rsp
Packaged: 2024-08-30 14:50:58 UTC; jllablee
Repository: CRAN
Date/Publication: 2024-09-03 08:50:10 UTC

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Package FeatureExtraction updated to version 3.7.0 with previous version 3.6.0 dated 2024-07-15

Title: Generating Features for a Cohort
Description: An R interface for generating features for a cohort using data in the Common Data Model. Features can be constructed using default or custom made feature definitions. Furthermore it's possible to aggregate features and get the summary statistics.
Author: Martijn Schuemie [aut], Marc Suchard [aut], Patrick Ryan [aut], Jenna Reps [aut], Anthony Sena [aut], Ger Inberg [aut, cre], Observational Health Data Science and Informatics [cph]
Maintainer: Ger Inberg <g.inberg@erasmusmc.nl>

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 48 files changed, 245 insertions(+), 161 deletions(-)

More information about FeatureExtraction at CRAN
Permanent link

Package fntl (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:

2024-08-26 0.1.0

Permanent link
Package saros updated to version 1.2.0 with previous version 1.0.4 dated 2024-02-28

Title: Semi-Automatic Reporting of Ordinary Surveys
Description: Offers a systematic way for conditional reporting of figures and tables for many (and bivariate combinations of) variables, typically from survey data. Contains interactive 'ggiraph'-based (<https://CRAN.R-project.org/package=ggiraph>) plotting functions and data frame-based summary tables (bivariate significance tests, frequencies/proportions, unique open ended responses, etc) with many arguments for customization, and extensions possible. Uses a global options() system for neatly reducing redundant code. Also contains tools for immediate saving of objects and returning a hashed link to the object, useful for creating download links to high resolution images upon rendering in 'Quarto'. Suitable for highly customized reports, primarily intended for survey research.
Author: Stephan Daus [aut, cre, cph] , Julia Silge [ctb] , David Robinson [ctb] , Nordic Institute for The Studies of Innovation, Research and Education [fnd], Kristiania University College [fnd]
Maintainer: Stephan Daus <stephus.daus@gmail.com>

Diff between saros versions 1.0.4 dated 2024-02-28 and 1.2.0 dated 2024-09-03

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Package simDAG updated to version 0.2.0 with previous version 0.1.2 dated 2024-06-13

Title: Simulate Data from a DAG and Associated Node Information
Description: Simulate complex data from a given directed acyclic graph and information about each individual node. Root nodes are simply sampled from the specified distribution. Child Nodes are simulated according to one of many implemented regressions, such as logistic regression, linear regression, poisson regression and more. Also includes a comprehensive framework for discrete-time simulation, which can generate even more complex longitudinal data.
Author: Robin Denz [aut, cre], Katharina Meiszl [aut]
Maintainer: Robin Denz <robin.denz@rub.de>

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Package hhsmm updated to version 0.4.1 with previous version 0.4.0 dated 2024-05-08

Title: Hidden Hybrid Markov/Semi-Markov Model Fitting
Description: Develops algorithms for fitting, prediction, simulation and initialization of the following models (1)- hidden hybrid Markov/semi-Markov model, introduced by Guedon (2005) <doi:10.1016/j.csda.2004.05.033>, (2)- nonparametric mixture of B-splines emissions (Langrock et al., 2015 <doi:10.1111/biom.12282>), (3)- regime switching regression model (Kim et al., 2008 <doi:10.1016/j.jeconom.2007.10.002>) and auto-regressive hidden hybrid Markov/semi-Markov model, (4)- spline-based nonparametric estimation of additive state-switching models (Langrock et al., 2018 <doi:10.1111/stan.12133>) (5)- robust emission model proposed by Qin et al, 2024 <doi:10.1007/s10479-024-05989-4> (6)- several emission distributions, including mixture of multivariate normal (which can also handle missing data using EM algorithm) and multi-nomial emission (for modeling polymer or DNA sequences) (7)- tools for prediction of future state sequence, computing the score of a new sequence, spli [...truncated...]
Author: Morteza Amini [aut, cre, cph], Afarin Bayat [aut], Reza Salehian [aut]
Maintainer: Morteza Amini <morteza.amini@ut.ac.ir>

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Package tensorEVD updated to version 0.1.4 with previous version 0.1.3 dated 2024-05-30

Title: A Fast Algorithm to Factorize High-Dimensional Tensor Product Matrices
Description: Here we provide tools for the computation and factorization of high-dimensional tensor products that are formed by smaller matrices. The methods are based on properties of Kronecker products (Searle 1982, p. 265, ISBN-10: 0470009616). We evaluated this methodology by benchmark testing and illustrated its use in Gaussian Linear Models ('Lopez-Cruz et al., 2024') <doi:10.1093/g3journal/jkae001>.
Author: Marco Lopez-Cruz [aut, cre], Gustavo de los Campos [aut], Paulino Perez-Rodriguez [aut]
Maintainer: Marco Lopez-Cruz <maraloc@gmail.com>

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Package dst updated to version 1.8.0 with previous version 1.7.1 dated 2024-08-26

Title: Using the Theory of Belief Functions
Description: Using the Theory of Belief Functions for evidence calculus. Basic probability assignments, or mass functions, can be defined on the subsets of a set of possible values and combined. A mass function can be extended to a larger frame. Marginalization, i.e. reduction to a smaller frame can also be done. These features can be combined to analyze small belief networks and take into account situations where information cannot be satisfactorily described by probability distributions.
Author: Peiyuan Zhu [aut, cre], Claude Boivin [aut]
Maintainer: Peiyuan Zhu <garyzhubc@gmail.com>

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Package cardx updated to version 0.2.1 with previous version 0.2.0 dated 2024-07-20

Title: Extra Analysis Results Data Utilities
Description: Create extra Analysis Results Data (ARD) summary objects. The package supplements the simple ARD functions from the 'cards' package, exporting functions to put statistical results in the ARD format. These objects are used and re-used to construct summary tables, visualizations, and written reports.
Author: Daniel Sjoberg [aut, cre], Abinaya Yogasekaram [aut], Emily de la Rua [aut], F. Hoffmann-La Roche AG [cph, fnd]
Maintainer: Daniel Sjoberg <danield.sjoberg@gmail.com>

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 cardx-0.2.1/cardx/tests/testthat/test-ard_stats_oneway_test.R            |    7 
 cardx-0.2.1/cardx/tests/testthat/test-ard_stats_poisson_test.R           |only
 cardx-0.2.1/cardx/tests/testthat/test-ard_stats_prop_test.R              |    8 
 cardx-0.2.1/cardx/tests/testthat/test-ard_stats_t_test.R                 |    9 
 cardx-0.2.1/cardx/tests/testthat/test-ard_stats_t_test_onesample.R       |   15 
 cardx-0.2.1/cardx/tests/testthat/test-ard_stats_wilcox_test.R            |    9 
 cardx-0.2.1/cardx/tests/testthat/test-ard_stats_wilcox_test_onesample.R  |   16 
 cardx-0.2.1/cardx/tests/testthat/test-ard_survey_svychisq.R              |   14 
 cardx-0.2.1/cardx/tests/testthat/test-ard_survey_svyranktest.R           |   14 
 cardx-0.2.1/cardx/tests/testthat/test-ard_survey_svyttest.R              |   14 
 cardx-0.2.1/cardx/tests/testthat/test-ard_survival_survdiff.R            |    7 
 cardx-0.2.1/cardx/tests/testthat/test-ard_survival_survfit.R             |    9 
 cardx-0.2.1/cardx/tests/testthat/test-ard_survival_survfit_diff.R        |    9 
 cardx-0.2.1/cardx/tests/testthat/test-ard_total_n.survey.design.R        |only
 cardx-0.2.1/cardx/tests/testthat/test-construction_helpers.R             |    8 
 97 files changed, 957 insertions(+), 397 deletions(-)

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