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: 1.0.1
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, MCMCpack, MicrobeDS, phyloseq
Published: 2022-05-17
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
Additional_repositories: https://michellepistner.github.io/fidoRepo
Citation: fido citation info
Materials: NEWS
CRAN checks: fido results

Documentation:

Reference manual: fido.pdf
Vignettes: Introduction to fido::Pibble
mitigating-pcrbias
intro_fido_basset
Joint Modeling (e.g., Multiomics) with fido::Orthus
picking_priors

Downloads:

Package source: fido_1.0.1.tar.gz
Windows binaries: r-devel: fido_1.0.1.zip, r-release: fido_1.0.1.zip, r-oldrel: fido_1.0.1.zip
macOS binaries: r-release (arm64): fido_1.0.1.tgz, r-oldrel (arm64): fido_1.0.1.tgz, r-release (x86_64): fido_1.0.1.tgz, r-oldrel (x86_64): fido_1.0.1.tgz
Old sources: fido archive

Linking:

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