bWGR: Bayesian Whole-Genome Regression
Whole-genome regression methods on Bayesian framework fitted via EM
or Gibbs sampling, univariate and multivariate, with optional kernel term and
sampling techniques.
Version: |
2.0 |
Depends: |
R (≥ 3.6.0) |
Imports: |
Matrix, Rcpp, RcppEigen |
LinkingTo: |
Rcpp, RcppEigen |
Published: |
2022-02-14 |
Author: |
Alencar Xavier, William Muir, David Habier, 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 |
Documentation:
Downloads:
Reverse dependencies:
Linking:
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