bWGR: Bayesian Whole-Genome Regression (original) (raw)
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 |
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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 |
License: | GPL-3 |
NeedsCompilation: | yes |
Citation: | bWGR citation info |
CRAN checks: | bWGR results |
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