BGLRR - Bayesian Generalized Linear Regression in R. V 2.1
CIMMYT Research Data & Software Repository Network Dataverse OAI Archive
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Title |
BGLRR - Bayesian Generalized Linear Regression in R. V 2.1
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Identifier |
https://hdl.handle.net/11529/10848
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Creator |
Rodríguez, Francisco
Pérez-Rodríguez, Paulino Campos, Gustavo de los Alvarado, Gregorio Pacheco-Gil, Rosa Ángela Crossa, Jose Burgueño, Juan |
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Publisher |
CIMMYT Research Data & Software Repository Network
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Description |
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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Subject |
Agricultural Sciences
BGLR Bayesian regression genome selection predictive model |
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Language |
English
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Date |
2017-01-07
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