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, âQuantifying compositional variability in microbial communities with FAVAâ by Morrison, Xue, and Rosenberg (2025) <doi:10.1073/pnas.2413211122>.
Version: 1.0.9 Depends: R (≥ 2.10) Imports: dplyr, ggplot2, rlang, tidyr, stringr Suggests: patchwork (≥ 1.2.0), rmarkdown, viridis, kableExtra, purrr, ape, gridExtra, phyloseq, testthat (≥ 3.0.0) Published: 2025-03-27 DOI: 10.32614/CRAN.package.FAVA Author: Maike Morrison [aut, cre, cph] Maintainer: Maike Morrison <maike.morrison at gmail.com> BugReports: https://github.com/MaikeMorrison/FAVA/issues License: MIT + file LICENSE URL: https://maikemorrison.github.io/FAVA/, https://maikemorrison.github.io/FAVA/articles/microbiome_tutorial.html NeedsCompilation: no Materials: README NEWS CRAN checks: FAVA results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=FAVA to link to this page.
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