Bayesian Multinomial Logistic Normal Regression [R package fido version 1.1.2]

Justin Silverman

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年02月27日

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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