Package: GWAS.BAYES
Type: Package
Title: Bayesian analysis of Gaussian GWAS data
Version: 1.11.0
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 for Gaussian phenotypes (Williams, J., Ferreira, M. A., and Ji, T. (2022). BICOSS: Bayesian iterative conditional stochastic search for GWAS. BMC Bioinformatics 23, 475). 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
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 (>= 4.2.0)
Suggests: BiocStyle, knitr, rmarkdown, formatR, rrBLUP
VignetteBuilder: knitr
RoxygenNote: 7.2.2
git_url: https://git.bioconductor.org/packages/GWAS.BAYES
git_branch: devel
git_last_commit: 1143374
git_last_commit_date: 2023-04-25
Date/Publication: 2023-04-26
NeedsCompilation: no
Packaged: 2023-04-26 23:19:15 UTC; biocbuild
Author: Jacob Williams [aut, cre] (<https://orcid.org/0000-0002-6425-1365>),
  Marco Ferreira [aut] (<https://orcid.org/0000-0002-4705-5661>),
  Tieming Ji [aut]
Maintainer: Jacob Williams <jwilliams@vt.edu>
Built: R 4.3.0; ; 2023-04-27 11:50:51 UTC; windows
