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bWGR: Bayesian Whole-Genome Regression

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 ORCID iD [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.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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