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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:1.1.2
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:2025-02-27
DOI:10.32614/CRAN.package.fido
Author:Justin Silverman [aut, cre], Kim Roche [ctb], Michelle Nixon [ctb]
Maintainer:Justin Silverman <JustinSilverman 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.html ,fido.pdf
Vignettes:Introduction to fido::Pibble (source)
Example of using Fido for measuring and mitigating PCR Bias (source,R code)
Non-linear models with fido::basset (source,R code)
Joint Modeling (e.g., Multiomics) with fido::Orthus (source,R code)
Picking Priors (source,R code)

Downloads:

Package source: fido_1.1.2.tar.gz
Windows binaries: r-devel:fido_1.1.2.zip, r-release:fido_1.1.2.zip, r-oldrel:fido_1.1.2.zip
macOS binaries: r-release (arm64):fido_1.1.2.tgz, r-oldrel (arm64):fido_1.1.2.tgz, r-release (x86_64):fido_1.1.2.tgz, r-oldrel (x86_64):fido_1.1.2.tgz
Old sources: fido archive

Linking:

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