Whole-genome regression methods on Bayesian framework fitted via EM or Gibbs sampling, univariate and multivariate, with optional kernel term and sampling techniques.
| Version: | 1.6.5 |
| Depends: | R (≥ 3.2.0) |
| Imports: | Rcpp |
| LinkingTo: | Rcpp |
| Suggests: | BGLR, ranger, glmnet, kernlab |
| Published: | 2019-06-05 |
| Author: | Alencar Xavier, William Muir, 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 |
| Reference manual: | bWGR.pdf |
| Package source: | bWGR_1.6.5.tar.gz |
| Windows binaries: | r-devel: bWGR_1.6.5.zip, r-release: bWGR_1.6.5.zip, r-oldrel: bWGR_1.6.5.zip |
| OS X binaries: | r-release: bWGR_1.6.5.tgz, r-oldrel: bWGR_1.6.5.tgz |
| Old sources: | bWGR archive |
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