Quantify Compositional Variability Across Relative Abundance Vectors R package FAVA version 1.0.9 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 (2025) <doi:10.1073/pnas.2413211122>. Software 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) Maike Morrison <maike.morrison@gmail.com> Comprehensive R Archive Network (CRAN) Maike Morrison [aut, cre, cph] (ORCID: <https://orcid.org/0000-0003-0430-1401>) MIT + file LICENSE (https://CRAN.R-project.org/package=FAVA/LICENSE) 2025-03-27 application/tgz https://CRAN.R-project.org/package=FAVA doi:10.32614/CRAN.package.FAVA