FAVA: Quantify Compositional Variability Across Relative Abundance
Vectors
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 + 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:
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