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This is the development version of BG2; for the stable release version, see BG2.

Performs Bayesian GWAS analysis for non-Gaussian data using BG2

Bioconductor version: Development (3.20)

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 "4.4") and enter:

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

# The following initializes usage of Bioc devel


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:

BG2 HTML R Script
Reference Manual PDF


biocViews AssayDomain, Bayesian, GenomeWideAssociation, SNP, Software
Version 1.5.0
In Bioconductor since BioC 3.17 (R-4.3) (1 year)
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)
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Follow Installation instructions to use this package in your R session.

Source Package BG2_1.5.0.tar.gz
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macOS Binary (x86_64) BG2_1.5.0.tgz
macOS Binary (arm64) BG2_1.5.0.tgz
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Source Repository (Developer Access) git clone
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