# --------------------------------------------
# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "FAVA" in publications use:'
type: software
license: MIT
title: 'FAVA: Quantify Compositional Variability Across Relative Abundance Vectors'
version: 1.0.7
doi: 10.1101/2024.07.03.601929
identifiers:
- type: doi
  value: 10.32614/CRAN.package.FAVA
- type: url
  value: https://maikemorrison.github.io/FAVA/articles/microbiome_tutorial.html
abstract: 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) <https://doi.org/10.1101/2024.07.03.601929>.
authors:
- family-names: Morrison
  given-names: Maike
  email: maikem@stanford.edu
  orcid: https://orcid.org/0000-0003-0430-1401
preferred-citation:
  type: article
  title: Quantifying compositional variability in microbial communities with FAVA
  authors:
  - family-names: Morrison
    given-names: Maike L.
  - family-names: Xue
    given-names: Katherine S.
  - family-names: Rosenberg
    given-names: Noah A.
  journal: bioRxiv
  year: '2024'
  doi: 10.1101/2024.07.03.601929
  start: 2024.07.03.601929
repository: https://maikemorrison.r-universe.dev
repository-code: https://github.com/MaikeMorrison/FAVA
commit: 92bfbf8c2946bbc3998c391b111a6c7b86c90867
url: https://maikemorrison.github.io/FAVA/
contact:
- family-names: Morrison
  given-names: Maike
  email: maikem@stanford.edu
  orcid: https://orcid.org/0000-0003-0430-1401