This is the development version of BG2; for the stable release version, see BG2.
Performs Bayesian GWAS analysis for non-Gaussian data using BG2Bioconductor version: Development (3.22)
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] ORCID: 0000-0002-6425-1365 , Shuangshuang Xu [aut], Marco Ferreira [aut] ORCID: 0000-0002-4705-5661
Maintainer: Jacob Williams <jwilliams at vt.edu>
Citation (from within R, entercitation("BG2")
): Installation
To install this package, start R (version "4.5") 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.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("BG2")
Details See More Package Archives
Follow Installation instructions to use this package in your R session.
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