DESCRIPTION

Package: fido
Type: Package
Title: Bayesian Multinomial Logistic Normal Regression
Version: 1.1.1
Date: 2024-05-31
Authors@R: c(person("Justin", "Silverman", role=c("aut"),
                     email = "Justin.Silverman@psu.edu"), 
             person("Kim", "Roche", role=("ctb"), 
                     email = "kimberly.roche@duke.edu"),
             person("Michelle", "Nixon", role=c("ctb","cre"), 
                     email = "pistner@psu.edu"))
Maintainer: Michelle Nixon
    <pistner@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: 7.3.1
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