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: | 1.5.6 |
Depends: | R (≥ 3.2.0) |
Imports: | Rcpp |
LinkingTo: | Rcpp |
Suggests: | BGLR, ranger, glmnet, kernlab |
Published: | 2018-10-04 |
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 |
Reference manual: | bWGR.pdf |
Package source: | bWGR_1.5.6.tar.gz |
Windows binaries: | r-devel: bWGR_1.5.6.zip, r-release: bWGR_1.5.6.zip, r-oldrel: bWGR_1.5.6.zip |
OS X binaries: | r-release: bWGR_1.5.6.tgz, r-oldrel: bWGR_1.5.6.tgz |
Old sources: | bWGR archive |
Please use the canonical form https://CRAN.R-project.org/package=bWGR to link to this page.