Software

BGLRR - Bayesian Generalized Linear Regression in R. V 2.1

author(s) Rodríguez, Francisco - Pérez-Rodríguez, Paulino - Campos, Gustavo de los - Alvarado, Gregorio - Pacheco-Gil, Rosa Ángela - Crossa, Jose - Burgueño, Juan
from International Maize and Wheat Improvement Center (CIMMYT)
permalink open
themes
citation

Rodríguez, Francisco; Pérez-Rodríguez, Paulino; Campos, Gustavo de los; Alvarado, Gregorio; Pacheco-Gil, Rosa Ángela; Crossa, Jose; Burgueño, Juan, 2017, "BGLRR - Bayesian Generalized Linear Regression in R. V 2.1", https://hdl.handle.net/11529/10848, CIMMYT Research Data & Software Repository Network, V5

Publications and datasets provided via GARDIAN

Abstract

BGLR is a software to simplify the selection of input files and parameters to perform Bayesian Generalized Linear Regression using R (statistacal software). BGLR provides predictions, GWAS analysis and analysis of reaction norm model described in reference [1]. It allows the inclusion of markers information, relationship matrix (pedigree), environmental covariables, and other variables as fixed or random effects.

Open original