Package: fido Type: Package Title: Bayesian Multinomial Logistic Normal Regression Version: 1.1.5 Date: 2026-10-29 Authors@R: c(person("Justin", "Silverman", role=c("aut", "cre"), email = "JustinSilverman@psu.edu"), person("Kim", "Roche", role=("ctb"), email = "kimberly.roche@duke.edu"), person("Michelle", "Nixon", role=c("ctb"), email = "pistner@psu.edu")) Maintainer: Justin Silverman Description: 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'. License: GPL-3 URL: https://jsilve24.github.io/fido/ Depends: R (>= 4.1.0) Imports: Rcpp (>= 0.12.17), dplyr, ggplot2, purrr, tidybayes, rlang, tidyr LinkingTo: Rcpp, RcppEigen, RcppNumerical, RcppZiggurat, BH RoxygenNote: 7.3.3 Suggests: testthat (>= 2.1.0), knitr, rmarkdown, ape, numDeriv, LaplacesDemon, MCMCpack, phyloseq VignetteBuilder: knitr LazyData: true BugReports: https://github.com/jsilve24/fido/issues Encoding: UTF-8 NeedsCompilation: yes Packaged: 2026-10-31 01:05:55 UTC; root Author: Justin Silverman [aut, cre], Kim Roche [ctb], Michelle Nixon [ctb] Repository: https://cran.r-universe.dev Date/Publication: 2026-10-30 19:30:02 UTC RemoteUrl: https://github.com/cran/fido RemoteRef: HEAD RemoteSha: 73933cd2ac02ab5ed918edbf305b8ddb928d663f