Package: fido
Type: Package
Title: Bayesian Multinomial Logistic Normal Regression
Version: 1.0.4
Date: 2023-03-22
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: 7.2.1
Additional_repositories: https://michellepistner.github.io/fidoRepo
Suggests: testthat (>= 2.1.0), knitr, rmarkdown, ape, numDeriv,
        MCMCpack, MicrobeDS, phyloseq
VignetteBuilder: knitr
LazyData: true
BugReports: https://github.com/jsilve24/fido/issues
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2023-03-23 14:57:06 UTC; map5672
Author: Justin Silverman [aut],
  Kim Roche [ctb],
  Michelle Nixon [ctb, cre]
Repository: CRAN
Date/Publication: 2023-03-24 12:00:10 UTC
Built: R 4.1.3; x86_64-w64-mingw32; 2023-04-20 14:05:10 UTC; windows
Archs: i386, x64
