Package: fido
Type: Package
Title: Bayesian Multinomial Logistic Normal Regression
Version: 1.1.4
Date: 2026-05-22
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 <JustinSilverman@psu.edu>
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)
        <https://www.jmlr.org/papers/v23/19-882.html>. 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
Config/pak/sysreqs: libicu-dev
Repository: https://jsilve24.r-universe.dev
Date/Publication: 2026-05-22 16:09:12 UTC
RemoteUrl: https://github.com/jsilve24/fido
RemoteRef: HEAD
RemoteSha: 36e97a883dedbd388c5cfedfda1826761b339709
NeedsCompilation: yes
Packaged: 2026-06-21 10:03:25 UTC; root
Author: Justin Silverman [aut, cre],
  Kim Roche [ctb],
  Michelle Nixon [ctb]