Whole-genome regression methods on Bayesian framework fitted via EM or Gibbs sampling, single step (<doi:10.1534/g3.119.400728>), univariate and multivariate (<doi:10.1186/s12711-022-00730-w>), with optional kernel term and sampling techniques (<doi:10.1186/s12859-017-1582-3>).
Version: | 2.2.10 |
Depends: | R (≥ 4.0) |
Imports: | Matrix, Rcpp |
LinkingTo: | Rcpp, RcppEigen |
Published: | 2024-09-17 |
DOI: | 10.32614/CRAN.package.bWGR |
Author: | Alencar Xavier [aut, cre], William Muir [aut], David Habier [aut], Kyle Kocak [aut], Shizhong Xu [aut], Katy Rainey [aut] |
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_2.2.10.tar.gz |
Windows binaries: | r-devel: bWGR_2.2.10.zip, r-release: bWGR_2.2.10.zip, r-oldrel: bWGR_2.2.10.zip |
macOS binaries: | r-release (arm64): bWGR_2.2.10.tgz, r-oldrel (arm64): bWGR_2.2.10.tgz, r-release (x86_64): bWGR_2.2.10.tgz, r-oldrel (x86_64): bWGR_2.2.10.tgz |
Old sources: | bWGR archive |
Reverse suggests: | NAM |
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