BMTME: Bayesian Multi-Trait Multi-Environment for Genomic Selection
Analysis
Genomic selection and prediction models with the capacity to use multiple traits and environments, through ready-to-use Bayesian models. It consists a group of functions
that help to create regression models for some genomic models proposed by Montesinos-López, et al. (2016) <doi:10.1534/g3.116.032359>
also in Montesinos-López et al. (2018) <doi:10.1534/g3.118.200728> and Montesinos-López et al. (2018) <doi:10.2134/agronj2018.06.0362>.
| Version: |
1.0.19 |
| Depends: |
R (≥ 3.5) |
| Imports: |
BGLR, doSNOW, dplyr, foreach, matrixcalc, mvtnorm, progress, snow, tidyr, Rcpp |
| LinkingTo: |
Rcpp, RcppArmadillo |
| Suggests: |
covr, testthat |
| Published: |
2020-08-26 |
| Author: |
Francisco Javier Luna-Vazquez
 [aut, cre],
Fernando H. Toledo [aut],
Osval Antonio Montesinos-Lopez
[aut],
Abelardo Montesinos-Lopez [aut],
Jose Crossa [aut] |
| Maintainer: |
Francisco Javier Luna-Vazquez <frahik at gmail.com> |
| BugReports: |
https://github.com/frahik/BMTME/issues/new |
| License: |
LGPL-3 |
| URL: |
https://github.com/frahik/BMTME |
| NeedsCompilation: |
yes |
| SystemRequirements: |
C++11, GNU |
| Language: |
en-US |
| Materials: |
NEWS |
| CRAN checks: |
BMTME results |
Documentation:
Downloads:
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