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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>),
with optional kernel term and sampling techniques (<doi:10.1186/s12859-017-1582-3>).
| Version: |
2.2.8 |
| Depends: |
R (≥ 4.0) |
| Imports: |
Matrix, Rcpp |
| LinkingTo: |
Rcpp, RcppEigen |
| Published: |
2024-04-28 |
| 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:
Downloads:
Reverse dependencies:
Linking:
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https://CRAN.R-project.org/package=bWGR
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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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