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...
- 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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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 |
dc.type.redcol.spa.fl_str_mv |
http://purl.org/redcol/resource_type/WP |
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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MD5 MD5 |
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Repositorio Institucional Universidad Nacional de Colombia |
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repositorio_nal@unal.edu.co |
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1814090029805338624 |