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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 (2024) <doi:10.1101/2024.07.03.601929>.
| Version: |
1.0.7 |
| 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: |
2024-12-10 |
| DOI: |
10.32614/CRAN.package.FAVA |
| Author: |
Maike Morrison 
[aut, cre, cph] |
| Maintainer: |
Maike Morrison <maikem at stanford.edu> |
| 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.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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