DOI: 10.18129/B9.bioc.BG2  

This package is for version 3.17 of Bioconductor; for the stable, up-to-date release version, see BG2.

Performs Bayesian GWAS analysis for non-Gaussian data using BG2

Bioconductor version: 3.17

This package is built to perform GWAS analysis for non-Gaussian data using BG2. The BG2 method uses penalized quasi-likelihood along with nonlocal priors in a two step manner to identify SNPs in GWAS analysis. The research related to this package was supported in part by National Science Foundation awards DMS 1853549 and DMS 2054173.

Author: Jacob Williams [aut, cre] , Shuangshuang Xu [aut], Marco Ferreira [aut]

Maintainer: Jacob Williams <jwilliams at>

Citation (from within R, enter citation("BG2")):


To install this package, start R (version "4.3") and enter:

if (!require("BiocManager", quietly = TRUE))


For older versions of R, please refer to the appropriate Bioconductor release.


To view documentation for the version of this package installed in your system, start R and enter:



HTML R Script BG2
PDF   Reference Manual


biocViews AssayDomain, Bayesian, GenomeWideAssociation, SNP, Software
Version 1.0.0
In Bioconductor since BioC 3.17 (R-4.3) (< 6 months)
License GPL-3 + file LICENSE
Depends R (>= 4.2.0)
Imports GA (>= 3.2), caret (>= 6.0-86), memoise (>= 1.1.0), Matrix (>= 1.2-18), MASS (>= 7.3-58.1), stats (>= 4.2.2)
Suggests BiocStyle, knitr, rmarkdown, formatR, rrBLUP, testthat (>= 3.0.0)
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report  

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package BG2_1.0.0.tar.gz
Windows Binary
macOS Binary (x86_64) BG2_1.0.0.tgz
macOS Binary (arm64) BG2_1.0.0.tgz
Source Repository git clone
Source Repository (Developer Access) git clone
Bioc Package Browser
Package Short Url
Package Downloads Report Download Stats

Documentation »


R / CRAN packages and documentation

Support »

Please read the posting guide. Post questions about Bioconductor to one of the following locations: