bWGR: Bayesian Whole-Genome Regression

Whole-genome regression methods on Bayesian framework fitted via EM or Gibbs sampling, univariate and multivariate, with optional kernel term and sampling techniques.

Version: 1.6.6
Depends: R (≥ 3.2.0)
Imports: Rcpp
LinkingTo: Rcpp
Published: 2020-01-08
Author: Alencar Xavier, William Muir, Kyle Kocak, Shizhong Xu, Katy Rainey.
Maintainer: Alencar Xavier <alenxav at>
License: GPL-3
NeedsCompilation: yes
Citation: bWGR citation info
CRAN checks: bWGR results


Reference manual: bWGR.pdf
Package source: bWGR_1.6.6.tar.gz
Windows binaries: r-devel:, r-devel-UCRT:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): bWGR_1.6.6.tgz, r-release (x86_64): bWGR_1.6.6.tgz, r-oldrel: bWGR_1.6.6.tgz
Old sources: bWGR archive

Reverse dependencies:

Reverse suggests: NAM


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