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 ORCID iD [aut, cre], Fernando H. Toledo [aut], Osval Antonio Montesinos-Lopez ORCID iD [aut], Abelardo Montesinos-Lopez [aut], Jose Crossa ORCID iD [aut]
Maintainer: Francisco Javier Luna-Vazquez <frahik at>
License: LGPL-3
NeedsCompilation: yes
SystemRequirements: C++11, GNU
Language: en-US
Materials: NEWS
In views: Agriculture, MixedModels
CRAN checks: BMTME results


Reference manual: BMTME.pdf


Package source: BMTME_1.0.19.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): BMTME_1.0.19.tgz, r-oldrel (arm64): BMTME_1.0.19.tgz, r-release (x86_64): BMTME_1.0.19.tgz, r-oldrel (x86_64): BMTME_1.0.19.tgz
Old sources: BMTME archive


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