Package: GWAS.BAYES
Type: Package
Title: Bayesian analysis of Gaussian GWAS data
Version: 1.18.0
Authors@R: 
  c(person(given = "Jacob",
           family = "Williams",
           role = c("aut", "cre"),
           email = "jwilliams@vt.edu",
           comment = c(ORCID = "0000-0002-6425-1365")),
    person(given = "Marco",
           family = "Ferreira",
           role = "aut",
           comment = c(ORCID = "0000-0002-4705-5661")),
    person(given = "Tieming",
           family = "Ji",
           role = "aut"))
Description: 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.
License: GPL-3 + file LICENSE
Encoding: UTF-8
LazyData: true
biocViews: Bayesian, AssayDomain, SNP, GenomeWideAssociation
Imports: GA (>= 3.2), caret (>= 6.0-86), memoise (>= 1.1.0), Matrix (>=
        1.2-18), limma (>= 3.54.0), stats (>= 4.2.2), MASS (>=
        7.3-58.1)
Depends: R (>= 4.3.0)
Suggests: BiocStyle, knitr, rmarkdown, formatR, rrBLUP
VignetteBuilder: knitr
RoxygenNote: 7.2.3
git_url: https://git.bioconductor.org/packages/GWAS.BAYES
git_branch: RELEASE_3_21
git_last_commit: 6dc4c8c
git_last_commit_date: 2025-04-15
Repository: Bioconductor 3.21
Date/Publication: 2025-04-15
NeedsCompilation: no
Packaged: 2025-04-16 01:14:18 UTC; biocbuild
Author: Jacob Williams [aut, cre] (ORCID:
    <https://orcid.org/0000-0002-6425-1365>),
  Marco Ferreira [aut] (ORCID: <https://orcid.org/0000-0002-4705-5661>),
  Tieming Ji [aut]
Maintainer: Jacob Williams <jwilliams@vt.edu>
Built: R 4.5.0; ; 2025-04-16 14:37:37 UTC; windows
