This site is a development preview. As such the content and styling may not be final and is subject to change before going into production. To see more information about the redesign click here.

Menu

Documentation:

R / CRAN packages and documentation

Support

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

BG2

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 (3.18)

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 vt.edu>

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

Installation

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

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("BG2")

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

Documentation

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

browseVignettes("BG2")
BG2 HTML R Script
Reference Manual PDF
LICENSE Text

Details

biocViews AssayDomain, Bayesian, GenomeWideAssociation, SNP, Software
Version 1.1.0
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)
Linking To
Suggests BiocStyle, knitr, rmarkdown, formatR, rrBLUP, testthat (>= 3.0.0)
System Requirements
Enhances
URL
See More
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_1.1.0.tar.gz
Windows Binary BG2_1.1.0.zip (64-bit only)
macOS Binary (x86_64) BG2_1.1.0.tgz
macOS Binary (arm64) BG2_1.1.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/BG2
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/BG2
Bioc Package Browser https://code.bioconductor.org/browse/BG2/
Package Short Url https://bioconductor.org/packages/BG2/
Package Downloads Report Download Stats