Package: FAVA
Title: Quantify Compositional Variability Across Relative Abundance
        Vectors
Version: 1.0.7
Authors@R: 
    person("Maike", "Morrison", , "maikem@stanford.edu", role = c("aut", "cre", "cph"),
           comment = c(ORCID = "0000-0003-0430-1401"))
Description: Implements the statistic FAVA, an Fst-based Assessment of Variability across 
  vectors of relative Abundances, as well as a suite of helper functions which enable the 
  visualization and statistical analysis of relative abundance data. The 'FAVA' R package 
  accompanies the paper, “Quantifying compositional variability in microbial communities
  with FAVA” by Morrison, Xue, and Rosenberg (2024) <doi:10.1101/2024.07.03.601929>.
License: MIT + file LICENSE
Encoding: UTF-8
RoxygenNote: 7.2.3
URL: https://maikemorrison.github.io/FAVA/,
        https://maikemorrison.github.io/FAVA/articles/microbiome_tutorial.html
BugReports: https://github.com/MaikeMorrison/FAVA/issues
Imports: dplyr, ggplot2, rlang, tidyr, stringr
Suggests: patchwork (>= 1.2.0), rmarkdown, viridis, kableExtra, purrr,
        ape, gridExtra, phyloseq, testthat (>= 3.0.0)
Config/testthat/edition: 3
Depends: R (>= 2.10)
LazyData: true
NeedsCompilation: no
Packaged: 2024-12-09 20:42:35 UTC; maikem
Author: Maike Morrison [aut, cre, cph]
    (<https://orcid.org/0000-0003-0430-1401>)
Maintainer: Maike Morrison <maikem@stanford.edu>
Repository: CRAN
Date/Publication: 2024-12-10 21:10:15 UTC
Built: R 4.3.3; ; 2024-12-10 21:49:36 UTC; unix
