FAVA: Quantify Compositional Variability Across Relative AbundanceVectors
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>.
| 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 + fileLICENSE |
| URL: | https://maikemorrison.github.io/FAVA/,https://maikemorrison.github.io/FAVA/articles/microbiome_tutorial.html |
| NeedsCompilation: | no |
| Materials: | README,NEWS |
| CRAN checks: | FAVA results |
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