Gamma regression models with the Gammareg R package

The class of gamma regression models is based on the assumption that the dependent variable is gamma distributed and that its mean is related to a set of regressors through a linear predictor with unknown coefficients and a link function. This link can be the identity, the inverse or the logarithm f...

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Autores:
Cepeda-Cuervo, Edilberto
Corrales-Bosio, Martha
Tipo de recurso:
Work document
Fecha de publicación:
2019
Institución:
Universidad Nacional de Colombia
Repositorio:
Universidad Nacional de Colombia
Idioma:
spa
OAI Identifier:
oai:repositorio.unal.edu.co:unal/21593
Acceso en línea:
https://repositorio.unal.edu.co/handle/unal/21593
http://bdigital.unal.edu.co/12542/
Palabra clave:
31 Colecciones de estadística general / Statistics
Gamma regression
Mean regression structures
Shape regression structures
Fisher Scoring algorithm
R-package
Rights
openAccess
License
Atribución-NoComercial 4.0 Internacional
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oai_identifier_str oai:repositorio.unal.edu.co:unal/21593
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spelling Atribución-NoComercial 4.0 InternacionalDerechos reservados - Universidad Nacional de Colombiahttp://creativecommons.org/licenses/by-nc/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Cepeda-Cuervo, Edilberto8f2ae6e2-1778-4f83-a496-0d49efcbe66a300Corrales-Bosio, Martha6999e78e-f5ca-4402-afeb-97c7a536f9693002019-06-25T19:31:21Z2019-06-25T19:31:21Zhttps://repositorio.unal.edu.co/handle/unal/21593http://bdigital.unal.edu.co/12542/The class of gamma regression models is based on the assumption that the dependent variable is gamma distributed and that its mean is related to a set of regressors through a linear predictor with unknown coefficients and a link function. This link can be the identity, the inverse or the logarithm function. The model also includes a shape parameter, which may be constant or dependent on a set of regressors through a link function, as the logarithm function. In this paper we describe the Gammareg Rpackage, which provides the class of gamma regressions in the R system for their statistical computing. The underlying theory is briefly presented and the library implementation illustrated from simulation studies.application/pdfspaUniversidad Nacional de Colombia Sede Bogotá Facultad de Ciencias Departamento de EstadísticaDepartamento de EstadísticaCepeda-Cuervo, Edilberto and Corrales-Bosio, Martha Gamma regression models with the Gammareg R package. Reporte técnico. Sin Definir. (No publicado)31 Colecciones de estadística general / StatisticsGamma regressionMean regression structuresShape regression structuresFisher Scoring algorithmR-packageGamma regression models with the Gammareg R packageDocumento de trabajoinfo:eu-repo/semantics/workingPaperinfo:eu-repo/semantics/drafthttp://purl.org/coar/resource_type/c_8042http://purl.org/coar/version/c_b1a7d7d4d402bcceTexthttp://purl.org/redcol/resource_type/WPORIGINALR-package-Paper.pdfapplication/pdf98915https://repositorio.unal.edu.co/bitstream/unal/21593/1/R-package-Paper.pdf54d5ea9f0841ccb02dcdd122dc4f76c6MD51THUMBNAILR-package-Paper.pdf.jpgR-package-Paper.pdf.jpgGenerated Thumbnailimage/jpeg5524https://repositorio.unal.edu.co/bitstream/unal/21593/2/R-package-Paper.pdf.jpgf76828ab4125d9ffed294fb3a10ac99cMD52unal/21593oai:repositorio.unal.edu.co:unal/215932023-10-02 23:06:44.878Repositorio Institucional Universidad Nacional de Colombiarepositorio_nal@unal.edu.co
dc.title.spa.fl_str_mv Gamma regression models with the Gammareg R package
title Gamma regression models with the Gammareg R package
spellingShingle Gamma regression models with the Gammareg R package
31 Colecciones de estadística general / Statistics
Gamma regression
Mean regression structures
Shape regression structures
Fisher Scoring algorithm
R-package
title_short Gamma regression models with the Gammareg R package
title_full Gamma regression models with the Gammareg R package
title_fullStr Gamma regression models with the Gammareg R package
title_full_unstemmed Gamma regression models with the Gammareg R package
title_sort Gamma regression models with the Gammareg R package
dc.creator.fl_str_mv Cepeda-Cuervo, Edilberto
Corrales-Bosio, Martha
dc.contributor.author.spa.fl_str_mv Cepeda-Cuervo, Edilberto
Corrales-Bosio, Martha
dc.subject.ddc.spa.fl_str_mv 31 Colecciones de estadística general / Statistics
topic 31 Colecciones de estadística general / Statistics
Gamma regression
Mean regression structures
Shape regression structures
Fisher Scoring algorithm
R-package
dc.subject.proposal.spa.fl_str_mv Gamma regression
Mean regression structures
Shape regression structures
Fisher Scoring algorithm
R-package
description The class of gamma regression models is based on the assumption that the dependent variable is gamma distributed and that its mean is related to a set of regressors through a linear predictor with unknown coefficients and a link function. This link can be the identity, the inverse or the logarithm function. The model also includes a shape parameter, which may be constant or dependent on a set of regressors through a link function, as the logarithm function. In this paper we describe the Gammareg Rpackage, which provides the class of gamma regressions in the R system for their statistical computing. The underlying theory is briefly presented and the library implementation illustrated from simulation studies.
publishDate 2019
dc.date.accessioned.spa.fl_str_mv 2019-06-25T19:31:21Z
dc.date.available.spa.fl_str_mv 2019-06-25T19:31:21Z
dc.type.spa.fl_str_mv Documento de trabajo
dc.type.driver.spa.fl_str_mv info:eu-repo/semantics/workingPaper
dc.type.version.spa.fl_str_mv info:eu-repo/semantics/draft
dc.type.coar.spa.fl_str_mv http://purl.org/coar/resource_type/c_8042
dc.type.coarversion.spa.fl_str_mv http://purl.org/coar/version/c_b1a7d7d4d402bcce
dc.type.content.spa.fl_str_mv Text
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format http://purl.org/coar/resource_type/c_8042
status_str draft
dc.identifier.uri.none.fl_str_mv https://repositorio.unal.edu.co/handle/unal/21593
dc.identifier.eprints.spa.fl_str_mv http://bdigital.unal.edu.co/12542/
url https://repositorio.unal.edu.co/handle/unal/21593
http://bdigital.unal.edu.co/12542/
dc.language.iso.spa.fl_str_mv spa
language spa
dc.relation.ispartof.spa.fl_str_mv Universidad Nacional de Colombia Sede Bogotá Facultad de Ciencias Departamento de Estadística
Departamento de Estadística
dc.relation.references.spa.fl_str_mv Cepeda-Cuervo, Edilberto and Corrales-Bosio, Martha Gamma regression models with the Gammareg R package. Reporte técnico. Sin Definir. (No publicado)
dc.rights.spa.fl_str_mv Derechos reservados - Universidad Nacional de Colombia
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.rights.license.spa.fl_str_mv Atribución-NoComercial 4.0 Internacional
dc.rights.uri.spa.fl_str_mv http://creativecommons.org/licenses/by-nc/4.0/
dc.rights.accessrights.spa.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv Atribución-NoComercial 4.0 Internacional
Derechos reservados - Universidad Nacional de Colombia
http://creativecommons.org/licenses/by-nc/4.0/
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.format.mimetype.spa.fl_str_mv application/pdf
institution Universidad Nacional de Colombia
bitstream.url.fl_str_mv https://repositorio.unal.edu.co/bitstream/unal/21593/1/R-package-Paper.pdf
https://repositorio.unal.edu.co/bitstream/unal/21593/2/R-package-Paper.pdf.jpg
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repository.name.fl_str_mv Repositorio Institucional Universidad Nacional de Colombia
repository.mail.fl_str_mv repositorio_nal@unal.edu.co
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