Package: FAVA 1.0.9

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>.

Authors:Maike Morrison [aut, cre, cph]

FAVA_1.0.9.tar.gz
FAVA_1.0.9.zip(r-4.7)FAVA_1.0.9.zip(r-4.6)FAVA_1.0.9.zip(r-4.5)
FAVA_1.0.9.tgz(r-4.6-any)FAVA_1.0.9.tgz(r-4.5-any)
FAVA_1.0.9.tar.gz(r-4.6-any)FAVA_1.0.9.tar.gz(r-4.5-any)
FAVA_1.0.9.tgz(r-4.5-emscripten)
FAVA.pdf |FAVA.html
FAVA/json (API)
NEWS

# Install 'FAVA' in R:
install.packages('FAVA', repos = c('https://maikemorrison.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/maikemorrison/fava/issues

Pkgdown/docs site:https://maikemorrison.github.io

Datasets:

On CRAN:

Conda:

4.75 score 7 stars 16 scripts 263 downloads 12 exports 29 dependencies

Last updated from:383a576d5e. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK895
source / vignettesOK414
linux-release-x86_64OK883
macos-release-arm64OK424
macos-oldrel-arm64OK381
windows-develOK663
windows-releaseOK671
windows-oldrelOK642
wasm-releaseOK130

Exports:bootstrap_favafavafava_normgini_simpsongini_simpson_meangini_simpson_pooledplot_relabundrelab_phyloseqtime_weightswindow_favawindow_listwindow_plot

Dependencies:clicpp11dplyrfarvergenericsggplot2gluegtableisobandlabelinglifecyclemagrittrpillarpkgconfigpurrrR6RColorBrewerrlangS7scalesstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithr

Analysis of microbiome data with FAVA

Rendered frommicrobiome_tutorial.Rmdusingknitr::rmarkdownon Apr 18 2026.

Last update: 2024-12-11
Started: 2023-06-12