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...
| Autores: | , , , , |
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| 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 |
| Sumario: | 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. |
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