Nothing
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>.
Getting started
Browse package contents
Package details |
|
|---|---|
| Author | Maike Morrison [aut, cre, cph] (<https://orcid.org/0000-0003-0430-1401>) |
| Maintainer | Maike Morrison <maike.morrison@gmail.com> |
| License | MIT + file LICENSE |
| Version | 1.0.9 |
| URL | https://maikemorrison.github.io/FAVA/ https://maikemorrison.github.io/FAVA/articles/microbiome_tutorial.html |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
|
Try the FAVA package in your browser
Any scripts or data that you put into this service are public.
