Bayesian Generalized Linear Regression in R (BGLRR) is a software to simplify the selection of input files and parameters to perform Bayesian Generalized Linear Regression using R (statistical software).
BGLR provides predictions, genome-wide association study (GWAS) analysis and analysis of reaction norm models. It allows the inclusion of markers information, relationship matrix (pedigree), environmental covariables, and other variables as fixed or random effects.
 
Francisco Rodríguez, Paulino Pérez, Gustavo de los Campos, Gregorio Alvarado, Ángela Pacheco, José Crossa, Juan Burgueño
Gustavo de los Campos, Paulino Rodriguez
 
Web link
BGLRR download
Download link and setup information on CIMMYT research software repository.
Manual
BGLRR Documentation
Documentation for implementing BGLR in R (August 2018).