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>, <doi:10.1093/genetics/iyae179>), with optional kernel term and sampling techniques (<doi:10.1186/s12859-017-1582-3>).
Version: 2.2.13 Depends: R (≥ 4.0) Imports: Matrix, Rcpp LinkingTo: Rcpp, RcppEigen Published: 2024-12-05 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 Documentation: Reference manual: bWGR.pdf Downloads: Package source: bWGR_2.2.13.tar.gz Windows binaries: r-devel: bWGR_2.2.13.zip, r-release: bWGR_2.2.13.zip, r-oldrel: bWGR_2.2.13.zip macOS binaries: r-release (arm64): bWGR_2.2.13.tgz, r-oldrel (arm64): bWGR_2.2.13.tgz, r-release (x86_64): bWGR_2.2.13.tgz, r-oldrel (x86_64): bWGR_2.2.13.tgz Old sources: bWGR archive Reverse dependencies: Reverse suggests: NAM Linking:Please use the canonical form https://CRAN.R-project.org/package=bWGR to link to this page.
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