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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 "lfa" in publications use:'
type: software
license: GPL-3.0-or-later
title: 'lfa: Logistic Factor Analysis for Categorical Data'
version: 2.5.0
doi: 10.1093/bioinformatics/btv641
identifiers:
- type: doi
  value: 10.32614/CRAN.package.lfa
abstract: Logistic Factor Analysis is a method for a PCA analogue on Binomial data
  via estimation of latent structure in the natural parameter. The main method estimates
  genetic population structure from genotype data. There are also methods for estimating
  individual-specific allele frequencies using the population structure. Lastly, a
  structured Hardy-Weinberg equilibrium (HWE) test is developed, which quantifies
  the goodness of fit of the genotype data to the estimated population structure,
  via the estimated individual-specific allele frequencies (all of which generalizes
  traditional HWE tests).
authors:
- family-names: Hao
  given-names: Wei
  email: whao@princeton.edu
- family-names: Song
  given-names: Minsun
- family-names: Ochoa
  given-names: Alejandro
  email: alejandro.ochoa@duke.edu
  orcid: https://orcid.org/0000-0003-4928-3403
- family-names: Storey
  given-names: John D.
  email: jstorey@princeton.edu
  orcid: https://orcid.org/0000-0001-5992-402X
preferred-citation:
  type: article
  title: Probabilistic Models of Genetic Variation in Structured Populations Applied
    to Global Human Studies
  authors:
  - family-names: Hao
    given-names: Wei
    email: whao@princeton.edu
  - family-names: Song
    given-names: Minsun
  - family-names: Storey
    given-names: John D.
    email: jstorey@princeton.edu
    orcid: https://orcid.org/0000-0001-5992-402X
  journal: Bioinformatics
  year: '2016'
  doi: 10.1093/bioinformatics/btv641
  volume: '32'
  issue: '5'
  issn: 1367-4811
  start: 713-21
repository: https://bioc.r-universe.dev
repository-code: https://github.com/StoreyLab/lfa
commit: f2e7dbcbeaed3b1180596c55f58f7002adae9c2f
url: https://github.com/StoreyLab/lfa
contact:
- family-names: Ochoa
  given-names: Alejandro
  email: alejandro.ochoa@duke.edu
  orcid: https://orcid.org/0000-0003-4928-3403