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) also in Montesinos-López et al. (2018) and Montesinos-López et al. (2018) .


Reference manual

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1.0.6 by Francisco Javier Luna-Vazquez, 6 days ago

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Authors: Francisco Javier Luna-Vazquez [aut, cre] , Fernando H. Toledo [aut] , Osval Antonio Montesinos-Lopez [aut] , Abelardo Montesinos-Lopez [aut] , Jose Crossa [aut]

Documentation:   PDF Manual  

LGPL-3 license

Imports BGLR, doSNOW, dplyr, foreach, matrixcalc, mvtnorm, progress, snow, tidyr

Suggests covr, knitr, rmarkdown, testthat

Linking to Rcpp, RcppArmadillo

System requirements: C++11

See at CRAN