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# 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 "IFAA" in publications use:'
type: software
license: GPL-2.0-only
title: 'IFAA: Robust Inference for Absolute Abundance in Microbiome Analysis'
version: 1.7.0
abstract: This package offers a robust approach to make inference on the association
  of covariates with the absolute abundance (AA) of microbiome in an ecosystem. It
  can be also directly applied to relative abundance (RA) data to make inference on
  AA because the ratio of two RA is equal to the ratio of their AA. This algorithm
  can estimate and test the associations of interest while adjusting for potential
  confounders. The estimates of this method have easy interpretation like a typical
  regression analysis. High-dimensional covariates are handled with regularization
  and it is implemented by parallel computing. False discovery rate is automatically
  controlled by this approach. Zeros do not need to be imputed by a positive value
  for the analysis. The IFAA package also offers the 'MZILN' function for estimating
  and testing associations of abundance ratios with covariates.
authors:
- family-names: Wu
  given-names: Quran
  email: wuquran@ufl.edu
- family-names: Li
  given-names: Zhigang
  email: lzg2151@gmail.com
repository: https://bioc.r-universe.dev
repository-code: https://github.com/quranwu/IFAA
url: https://pubmed.ncbi.nlm.nih.gov/35241863/
date-released: '2022-07-07'
contact:
- family-names: Li
  given-names: Zhigang
  email: lzg2151@gmail.com
identifiers:
- type: url
  value: https://pubmed.ncbi.nlm.nih.gov/30923584/