BG2
Performs Bayesian GWAS analysis for non-Gaussian data using BG2
Bioconductor version: Release (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 vt.edu>
citation("BG2")
):
Installation
To install this package, start R (version "4.4") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
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 | ||
LICENSE | Text |
Details
biocViews | AssayDomain, Bayesian, GenomeWideAssociation, SNP, Software |
Version | 1.6.0 |
In Bioconductor since | BioC 3.17 (R-4.3) (1.5 years) |
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) |
System Requirements | |
URL |
See More
Suggests | BiocStyle, knitr, rmarkdown, formatR, rrBLUP, testthat (>= 3.0.0) |
Linking To | |
Enhances | |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
Source Package | BG2_1.6.0.tar.gz |
Windows Binary (x86_64) | BG2_1.6.0.zip |
macOS Binary (x86_64) | BG2_1.6.0.tgz |
macOS Binary (arm64) | BG2_1.6.0.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 |