fido: Bayesian Multinomial Logistic Normal Regression

Provides methods for fitting and inspection of Bayesian Multinomial Logistic Normal Models using MAP estimation and Laplace Approximation as developed in Silverman et. Al. (2022) <https://www.jmlr.org/papers/v23/19-882.html>. Key functionality is implemented in C++ for scalability. 'fido' replaces the previous package 'stray'.

Version:	1.1.1
Depends:	R (≥ 4.1.0)
Imports:	Rcpp (≥ 0.12.17), dplyr, ggplot2, purrr, tidybayes, rlang, tidyr
LinkingTo:	Rcpp, RcppEigen, RcppNumerical, RcppZiggurat, BH
Suggests:	testthat (≥ 2.1.0), knitr, rmarkdown, ape, numDeriv, LaplacesDemon, MCMCpack, phyloseq
Published:	2024-06-05
DOI:	10.32614/CRAN.package.fido
Author:	Justin Silverman [aut], Kim Roche [ctb], Michelle Nixon [ctb, cre]
Maintainer:	Michelle Nixon <pistner at psu.edu>
BugReports:	https://github.com/jsilve24/fido/issues
License:	GPL-3
URL:	https://jsilve24.github.io/fido/
NeedsCompilation:	yes
Citation:	fido citation info
Materials:	NEWS
CRAN checks:	fido results

Documentation:

Reference manual:	fido.pdf
Vignettes:	Introduction to fido::Pibble Example of using Fido for measuring and mitigating PCR Bias Non-linear models with fido::basset Joint Modeling (e.g., Multiomics) with fido::Orthus Picking Priors

Downloads:

Package source:	fido_1.1.1.tar.gz
Windows binaries:	r-devel: fido_1.1.1.zip, r-release: fido_1.1.1.zip, r-oldrel: fido_1.1.1.zip
macOS binaries:	r-release (arm64): fido_1.1.1.tgz, r-oldrel (arm64): fido_1.1.1.tgz, r-release (x86_64): fido_1.1.1.tgz, r-oldrel (x86_64): fido_1.1.1.tgz
Old sources:	fido archive

Linking:

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