Package: FAVA 1.0.7

Maike Morrison

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>.

Authors:Maike Morrison [aut, cre, cph]

FAVA_1.0.7.tar.gz
FAVA_1.0.7.zip(r-4.5)FAVA_1.0.7.zip(r-4.4)FAVA_1.0.7.zip(r-4.3)
FAVA_1.0.7.tgz(r-4.4-any)FAVA_1.0.7.tgz(r-4.3-any)
FAVA_1.0.7.tar.gz(r-4.5-noble)FAVA_1.0.7.tar.gz(r-4.4-noble)
FAVA_1.0.7.tgz(r-4.4-emscripten)FAVA_1.0.7.tgz(r-4.3-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'))

Peer review:

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

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

Datasets:

On CRAN:

5.00 score 2 stars 7 scripts 12 exports 36 dependencies

Last updated 15 days agofrom:92bfbf8c29. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKDec 12 2024
R-4.5-winOKDec 12 2024
R-4.5-linuxOKDec 12 2024
R-4.4-winOKDec 12 2024
R-4.4-macOKDec 12 2024
R-4.3-winOKDec 12 2024
R-4.3-macOKDec 12 2024

Exports:bootstrap_favafavafava_normgini_simpsongini_simpson_meangini_simpson_pooledplot_relabundrelab_phyloseqtime_weightswindow_favawindow_listwindow_plot

Dependencies:clicolorspacecpp11dplyrfansifarvergenericsggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigpurrrR6RColorBrewerrlangscalesstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithr

Analysis of microbiome data with FAVA

Rendered frommicrobiome_tutorial.Rmdusingknitr::rmarkdownon Dec 12 2024.

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