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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 "ALDEx3" in publications use:'
type: software
license: MIT
title: 'ALDEx3: Linear Models for Sequence Count Data'
version: 1.0.2
doi: 10.32614/CRAN.package.ALDEx3
abstract: Provides scalable generalized linear and mixed effects models tailored for
  sequence count data analysis (e.g., analysis of 16S or RNA-seq data). Uses Dirichlet-multinomial
  sampling to quantify uncertainty in relative abundance or relative expression conditioned
  on observed count data. Implements scale models as a generalization of normalizations
  which account for uncertainty in scale (e.g., total abundances) as described in
  Nixon et al. (2025) <https://doi.org/10.1186/s13059-025-03609-3> and McGovern et
  al. (2025) <https://doi.org/10.1101/2025.08.05.668734>.
authors:
- family-names: Silverman
  given-names: Justin
  email: JustinSilverman@psu.edu
- family-names: Gloor
  given-names: Greg
  email: ggloor@uwo.ca
- family-names: McGovern
  given-names: Kyle
  email: kvm6065@psu.edu
repository: https://jsilve24.r-universe.dev
commit: aa609fae671f348aaed24832a128c32a2d75e9d4
date-released: '2026-03-27'
contact:
- family-names: Silverman
  given-names: Justin
  email: JustinSilverman@psu.edu