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bWGR: Bayesian Whole-Genome Regression

Whole-genome regression methods on Bayesian framework fitted via EM or Gibbs sampling, single step (<doi:10.1534/g3.119.400728>), univariate and multivariate (<doi:10.1186/s12711-022-00730-w>, <doi:10.1093/genetics/iyae179>), with optional kernel term and sampling techniques (<doi:10.1186/s12859-017-1582-3>).

Version:2.2.17
Depends:R (≥ 4.0)
Imports:Matrix,Rcpp
LinkingTo:Rcpp,RcppEigen
Published:2025-12-11
DOI:10.32614/CRAN.package.bWGR
Author:Alencar XavierORCID iD [aut, cre], William Muir [aut], David Habier [aut], Kyle Kocak [aut], Shizhong Xu [aut], Katy Rainey [aut]
Maintainer:Alencar Xavier <alenxav at gmail.com>
License:GPL-3
NeedsCompilation:yes
Citation:bWGR citation info
CRAN checks:bWGR results

Documentation:

Reference manual:bWGR.html ,bWGR.pdf

Downloads:

Package source: bWGR_2.2.17.tar.gz
Windows binaries: r-devel:bWGR_2.2.17.zip, r-release:bWGR_2.2.17.zip, r-oldrel:bWGR_2.2.17.zip
macOS binaries: r-release (arm64):bWGR_2.2.17.tgz, r-oldrel (arm64):bWGR_2.2.17.tgz, r-release (x86_64):bWGR_2.2.17.tgz, r-oldrel (x86_64):bWGR_2.2.17.tgz
Old sources: bWGR archive

Reverse dependencies:

Reverse suggests:NAM

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=bWGRto link to this page.


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