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:

Reference manual:

FAVA.pdf

Downloads:

Package source:	FAVA_1.0.7.tar.gz
Windows binaries:	r-devel: FAVA_1.0.7.zip, r-release: not available, r-oldrel: FAVA_1.0.7.zip
macOS binaries:	r-release (arm64): FAVA_1.0.7.tgz, r-oldrel (arm64): FAVA_1.0.7.tgz, r-release (x86_64): FAVA_1.0.7.tgz, r-oldrel (x86_64): FAVA_1.0.7.tgz

Linking:

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