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) <>. 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/
Author: Justin Silverman [aut], Kim Roche [ctb], Michelle Nixon [ctb, cre]
Maintainer: Michelle Nixon <pistner at>
License: GPL-3
NeedsCompilation: yes
Citation: fido citation info
Materials: NEWS
CRAN checks: fido results


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


Package source: fido_1.1.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
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


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