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FAVA  

Quantify Compositional Variability Across Relative Abundance Vectors
View on CRAN: Click here


Download and install FAVA package within the R console
Install from CRAN:
install.packages("FAVA")

Install from Github:
library("remotes")
install_github("cran/FAVA")

Install by package version:
library("remotes")
install_version("FAVA", "1.0.7")



Attach the package and use:
library("FAVA")
Maintained by
Maike Morrison
[Scholar Profile | Author Map]
First Published: 2024-12-10
Latest Update: 2024-12-10
Description:
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>.
How to cite:
Maike Morrison (2024). FAVA: Quantify Compositional Variability Across Relative Abundance Vectors. R package version 1.0.7, https://cran.r-project.org/web/packages/FAVA. Accessed 17 Feb. 2025.
Previous versions and publish date:
No previous versions
Other packages that cited FAVA R package
View FAVA citation profile
Other R packages that FAVA depends, imports, suggests or enhances
Complete documentation for FAVA
Functions, R codes and Examples using the FAVA R package
Full FAVA package functions and examples
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