R package GofCens: goodness-of-fit methods for right-censored data

This paper presents the R package GofCens, which offers graphical tools and implements goodness-of-fit tests for right-censored data. The first part provides a thorough review of current methodologies for assessing goodness of fit in the presence of rightcensored data. The subsequent sections presen...

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Autores: Besalú Mayol, Mireia|||0000-0003-0473-2404, Langohr, Klaus|||0000-0001-7075-9192, Francisco, Matilde, Garcia Fernández, Arnau, Gómez Melis, Guadalupe|||0000-0003-4252-4884
Tipo de recurso: artículo
Fecha de publicación:2025
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/450635
Acceso en línea:https://hdl.handle.net/2117/450635
https://dx.doi.org/10.32614/RJ-2025-026
Access Level:acceso abierto
Palabra clave:Survival Analysis
Goodness-of-fit
R package
Log-normal distribution
Parametric models
Graphical diagnostics
Classificació AMS::62 Statistics::62G Nonparametric inference
Classificació AMS::62 Statistics::62N Survival analysis and censored data
Àrees temàtiques de la UPC::Matemàtiques i estadística::Estadística matemàtica
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spelling R package GofCens: goodness-of-fit methods for right-censored dataBesalú Mayol, Mireia|||0000-0003-0473-2404Langohr, Klaus|||0000-0001-7075-9192Francisco, MatildeGarcia Fernández, ArnauGómez Melis, Guadalupe|||0000-0003-4252-4884Survival AnalysisGoodness-of-fitR packageLog-normal distributionParametric modelsGraphical diagnosticsClassificació AMS::62 Statistics::62G Nonparametric inferenceClassificació AMS::62 Statistics::62N Survival analysis and censored dataÀrees temàtiques de la UPC::Matemàtiques i estadística::Estadística matemàticaThis paper presents the R package GofCens, which offers graphical tools and implements goodness-of-fit tests for right-censored data. The first part provides a thorough review of current methodologies for assessing goodness of fit in the presence of rightcensored data. The subsequent sections present the main functions of GofCens and are illustrated by means of a right-censored sample from a log-normal distribution and a data set on NBAplayers’ mortality, which is included in the package.Peer Reviewed20252025-10-2120262026-01-16journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/2117/450635https://dx.doi.org/10.32614/RJ-2025-026reponame:UPCommons. Portal del coneixement obert de la UPCinstname:Universitat Politècnica de Catalunya (UPC)InglésengAgencia Estatal de Investigación http://doi.org/10.13039/501100011033 Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023 PID2023-148033OB-C21 ESTADISTICA ORIENTADA A CIENCIAS DE SALUD: AVANCES EN ANALISIS DE SUPERVIVENCIA Y ENSAYOS CLINICOSopen accesshttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccessoai:upcommons.upc.edu:2117/4506352026-05-27T15:37:01Z
dc.title.none.fl_str_mv R package GofCens: goodness-of-fit methods for right-censored data
title R package GofCens: goodness-of-fit methods for right-censored data
spellingShingle R package GofCens: goodness-of-fit methods for right-censored data
Besalú Mayol, Mireia|||0000-0003-0473-2404
Survival Analysis
Goodness-of-fit
R package
Log-normal distribution
Parametric models
Graphical diagnostics
Classificació AMS::62 Statistics::62G Nonparametric inference
Classificació AMS::62 Statistics::62N Survival analysis and censored data
Àrees temàtiques de la UPC::Matemàtiques i estadística::Estadística matemàtica
title_short R package GofCens: goodness-of-fit methods for right-censored data
title_full R package GofCens: goodness-of-fit methods for right-censored data
title_fullStr R package GofCens: goodness-of-fit methods for right-censored data
title_full_unstemmed R package GofCens: goodness-of-fit methods for right-censored data
title_sort R package GofCens: goodness-of-fit methods for right-censored data
dc.creator.none.fl_str_mv Besalú Mayol, Mireia|||0000-0003-0473-2404
Langohr, Klaus|||0000-0001-7075-9192
Francisco, Matilde
Garcia Fernández, Arnau
Gómez Melis, Guadalupe|||0000-0003-4252-4884
author Besalú Mayol, Mireia|||0000-0003-0473-2404
author_facet Besalú Mayol, Mireia|||0000-0003-0473-2404
Langohr, Klaus|||0000-0001-7075-9192
Francisco, Matilde
Garcia Fernández, Arnau
Gómez Melis, Guadalupe|||0000-0003-4252-4884
author_role author
author2 Langohr, Klaus|||0000-0001-7075-9192
Francisco, Matilde
Garcia Fernández, Arnau
Gómez Melis, Guadalupe|||0000-0003-4252-4884
author2_role author
author
author
author
dc.subject.none.fl_str_mv Survival Analysis
Goodness-of-fit
R package
Log-normal distribution
Parametric models
Graphical diagnostics
Classificació AMS::62 Statistics::62G Nonparametric inference
Classificació AMS::62 Statistics::62N Survival analysis and censored data
Àrees temàtiques de la UPC::Matemàtiques i estadística::Estadística matemàtica
topic Survival Analysis
Goodness-of-fit
R package
Log-normal distribution
Parametric models
Graphical diagnostics
Classificació AMS::62 Statistics::62G Nonparametric inference
Classificació AMS::62 Statistics::62N Survival analysis and censored data
Àrees temàtiques de la UPC::Matemàtiques i estadística::Estadística matemàtica
description This paper presents the R package GofCens, which offers graphical tools and implements goodness-of-fit tests for right-censored data. The first part provides a thorough review of current methodologies for assessing goodness of fit in the presence of rightcensored data. The subsequent sections present the main functions of GofCens and are illustrated by means of a right-censored sample from a log-normal distribution and a data set on NBAplayers’ mortality, which is included in the package.
publishDate 2025
dc.date.none.fl_str_mv 2025
2025-10-21
2026
2026-01-16
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/2117/450635
https://dx.doi.org/10.32614/RJ-2025-026
url https://hdl.handle.net/2117/450635
https://dx.doi.org/10.32614/RJ-2025-026
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.relation.none.fl_str_mv Agencia Estatal de Investigación http://doi.org/10.13039/501100011033 Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023 PID2023-148033OB-C21 ESTADISTICA ORIENTADA A CIENCIAS DE SALUD: AVANCES EN ANALISIS DE SUPERVIVENCIA Y ENSAYOS CLINICOS
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:UPCommons. Portal del coneixement obert de la UPC
instname:Universitat Politècnica de Catalunya (UPC)
instname_str Universitat Politècnica de Catalunya (UPC)
reponame_str UPCommons. Portal del coneixement obert de la UPC
collection UPCommons. Portal del coneixement obert de la UPC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,812429

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