BG2
This is the released version of BG2; for the devel version, see BG2.
Performs Bayesian GWAS analysis for non-Gaussian data using BG2
DOI: 10.18129/B9.bioc.BG2
Bioconductor version: Release (3.23)
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")):Jacob Williams, Shuangshuang Xu, Marco Ferreira. BG2: Performs Bayesian GWAS analysis for non-Gaussian data using BG2. doi:10.18129/B9.bioc.BG2, R package version 1.12.0, https://bioconductor.org/packages/BG2.
Generated from the package metadata; it may differ from the package's own citation.
Installation
To install this package, start R (version "4.6") 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 | 1.12.0 |
| In Bioconductor since | BioC 3.17 (R-4.3) (3.5 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, r-universe |
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | BG2_1.12.0.tar.gz |
| Windows Binary (x86_64) | BG2_1.12.0.zip |
| macOS Binary (big-sur-x86_64) | BG2_1.12.0.tgz |
| macOS Binary (sonoma-arm64) | BG2_1.12.0.tgz |
| Source Repository | git clone https://git.bioconductor.org/packages/BG2 |
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/BG2 |
| Package Short Url | https://bioconductor.org/packages/BG2/ |
| Package Downloads Report | Download Stats |