bWGR: Bayesian Whole-Genome Regression

Whole-genome regression methods on Bayesian framework fitted via EM or Gibbs sampling, with optional kernel term and sampling techniques as described by Xavier (2017) <doi:10.1186/s12859-017-1582-3>.

Version: 1.6.1
Depends: R (≥ 3.2.0)
Imports: Rcpp
LinkingTo: Rcpp
Suggests: BGLR, ranger, glmnet, kernlab
Published: 2019-03-11
Author: Alencar Xavier, William Muir, Shizhong Xu, Katy Rainey.
Maintainer: Alencar Xavier <alenxav at gmail.com>
License: GPL-3
NeedsCompilation: yes
Citation: bWGR citation info
CRAN checks: bWGR results

Downloads:

Reference manual: bWGR.pdf
Package source: bWGR_1.6.1.tar.gz
Windows binaries: r-devel: bWGR_1.6.1.zip, r-release: bWGR_1.6.1.zip, r-oldrel: bWGR_1.6.1.zip
OS X binaries: r-release: bWGR_1.6.1.tgz, r-oldrel: bWGR_1.6.1.tgz
Old sources: bWGR archive

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