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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spelling dat-cimmyt-11529108482023-12-01T02:00:03ZBGLRR - Bayesian Generalized Linear Regression in R. V 2.1https://hdl.handle.net/11529/10848Rodríguez, FranciscoPérez-Rodríguez, PaulinoCampos, Gustavo de losAlvarado, GregorioPacheco-Gil, Rosa ÁngelaCrossa, JoseBurgueño, JuanCIMMYT Research Data & Software Repository NetworkBGLR 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.Agricultural SciencesBGLRBayesian regressiongenome selectionpredictive modelEnglish2017-01-07
institution CIMMYT
collection Dataverse
country México
countrycode MX
component Datos de investigación
access En linea
En linea
databasecode dat-cimmyt
tag biblioteca
region America del Norte
libraryname Centro Internacional de Mejoramiento de Maíz y Trigo
language English
topic Agricultural Sciences
BGLR
Bayesian regression
genome selection
predictive model
Agricultural Sciences
BGLR
Bayesian regression
genome selection
predictive model
spellingShingle Agricultural Sciences
BGLR
Bayesian regression
genome selection
predictive model
Agricultural Sciences
BGLR
Bayesian regression
genome selection
predictive model
Rodríguez, Francisco
Pérez-Rodríguez, Paulino
Campos, Gustavo de los
Alvarado, Gregorio
Pacheco-Gil, Rosa Ángela
Crossa, Jose
Burgueño, Juan
BGLRR - Bayesian Generalized Linear Regression in R. V 2.1
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.
topic_facet Agricultural Sciences
BGLR
Bayesian regression
genome selection
predictive model
author Rodríguez, Francisco
Pérez-Rodríguez, Paulino
Campos, Gustavo de los
Alvarado, Gregorio
Pacheco-Gil, Rosa Ángela
Crossa, Jose
Burgueño, Juan
author_facet Rodríguez, Francisco
Pérez-Rodríguez, Paulino
Campos, Gustavo de los
Alvarado, Gregorio
Pacheco-Gil, Rosa Ángela
Crossa, Jose
Burgueño, Juan
author_sort Rodríguez, Francisco
title BGLRR - Bayesian Generalized Linear Regression in R. V 2.1
title_short BGLRR - Bayesian Generalized Linear Regression in R. V 2.1
title_full BGLRR - Bayesian Generalized Linear Regression in R. V 2.1
title_fullStr BGLRR - Bayesian Generalized Linear Regression in R. V 2.1
title_full_unstemmed BGLRR - Bayesian Generalized Linear Regression in R. V 2.1
title_sort bglrr - bayesian generalized linear regression in r. v 2.1
publisher CIMMYT Research Data & Software Repository Network
publishDate 2017
url https://hdl.handle.net/11529/10848
work_keys_str_mv AT rodriguezfrancisco bglrrbayesiangeneralizedlinearregressioninrv21
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AT camposgustavodelos bglrrbayesiangeneralizedlinearregressioninrv21
AT alvaradogregorio bglrrbayesiangeneralizedlinearregressioninrv21
AT pachecogilrosaangela bglrrbayesiangeneralizedlinearregressioninrv21
AT crossajose bglrrbayesiangeneralizedlinearregressioninrv21
AT burguenojuan bglrrbayesiangeneralizedlinearregressioninrv21
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