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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 "GWAS.BAYES" in publications use:'
type: software
license: GPL-3.0-only
title: 'GWAS.BAYES: Bayesian analysis of Gaussian GWAS data'
version: 1.15.1
abstract: 'This package is built to perform GWAS analysis using Bayesian techniques.
  Currently, GWAS.BAYES has functionality for the implementation of BICOSS (Williams,
  J., Ferreira, M. A., and Ji, T. (2022). BICOSS: Bayesian iterative conditional stochastic
  search for GWAS. BMC Bioinformatics), BGWAS (Williams, J., Xu, S., Ferreira, M.
  A.. (2023) "BGWAS: Bayesian variable selection in linear mixed models with nonlocal
  priors for genome-wide association studies." BMC Bioinformatics), and GINA. All
  methods currently are for the analysis of Gaussian phenotypes The research related
  to this package was supported in part by National Science Foundation awards DMS
  1853549, DMS 1853556, and DMS 2054173.'
authors:
- family-names: Williams
  given-names: Jacob
  email: jwilliams@vt.edu
  orcid: https://orcid.org/0000-0002-6425-1365
- family-names: Ferreira
  given-names: Marco
  orcid: https://orcid.org/0000-0002-4705-5661
- family-names: Ji
  given-names: Tieming
repository: https://bioc.r-universe.dev
contact:
- family-names: Williams
  given-names: Jacob
  email: jwilliams@vt.edu
  orcid: https://orcid.org/0000-0002-6425-1365