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: 2.0
Depends: R (≥ 3.6.0)
Imports: Matrix, Rcpp, RcppEigen
LinkingTo: Rcpp, RcppEigen
Published: 2022-02-14
Author: Alencar Xavier, William Muir, David Habier, Kyle Kocak, Shizhong Xu, Katy Rainey.
Maintainer: Alencar Xavier <alenxav at gmail.com>
License: GPL-3
NeedsCompilation: yes
Citation: bWGR citation info
CRAN checks: bWGR results

Documentation:

Reference manual: bWGR.pdf

Downloads:

Package source: bWGR_2.0.tar.gz
Windows binaries: r-devel: bWGR_2.0.zip, r-release: bWGR_2.0.zip, r-oldrel: bWGR_2.0.zip
macOS binaries: r-release (arm64): bWGR_2.0.tgz, r-oldrel (arm64): bWGR_2.0.tgz, r-release (x86_64): bWGR_2.0.tgz, r-oldrel (x86_64): bWGR_2.0.tgz
Old sources: bWGR archive

Reverse dependencies:

Reverse suggests: NAM

Linking:

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