BGLRR - Bayesian Generalized Linear Regression in R. V 2.1

BGLRR - Bayesian Generalized Linear Regression in R. V 2.1

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.

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Bibliographic Details
Main Authors: Rodríguez, Francisco, Pérez-Rodríguez, Paulino, Campos, Gustavo de los, Alvarado, Gregorio, Pacheco-Gil, Rosa Ángela, Crossa, Jose, Burgueño, Juan
Language:English
Published: CIMMYT Research Data & Software Repository Network 2017
Subjects:Agricultural Sciences, BGLR, Bayesian regression, genome selection, predictive model,
Online Access:https://hdl.handle.net/11529/10848
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Description
Summary: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.

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