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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>).
Getting started
Browse package contents
Package details |
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| Author | Alencar Xavier [aut, cre] (<https://orcid.org/0000-0001-5034-9954>), William Muir [aut], David Habier [aut], Kyle Kocak [aut], Shizhong Xu [aut], Katy Rainey [aut] |
| Maintainer | Alencar Xavier <alenxav@gmail.com> |
| License | GPL-3 |
| Version | 2.2.5 |
| Package repository | View on CRAN |
| Installation |
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