Bayesian Generalized Linear Regression in R (BGLRR)

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.

 
Manual
BGLRR Documentation
Documentation for implementing BGLR in R (August 2018).
Gustavo de los Campos, Paulino Rodriguez