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  | 
| In views: | 
Agriculture, MixedModels | 
| CRAN checks: | 
BMTME results | 
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