Cubm package in R to fit CUB models
ABSTRACT: The class of CUB models is commonly used by practitioners to model ordinal data, in this paper we propose the cubm package which provides the class of CUB models in the R system for statistical computing. The cubm package allows to specify a formula for each parameter of the model, the Max...
- Autores:
-
Úsuga Manco, Olga Cecilia
Muñoz García, Sebastián
Barajas Hernández, Freddy
- Tipo de recurso:
- Article of investigation
- Fecha de publicación:
- 2018
- Institución:
- Universidad de Antioquia
- Repositorio:
- Repositorio UdeA
- Idioma:
- eng
- OAI Identifier:
- oai:bibliotecadigital.udea.edu.co:10495/35488
- Acceso en línea:
- https://hdl.handle.net/10495/35488
- Palabra clave:
- Estadísticas científicas
Science statistics
Análisis de contenido (comunicación)-Procesamiento de datos
Content analysis (communication) data processing
Modelos lineales (estadística)
Lineal models (statistics)
Incertidumbre (teoría de la información)
Uncertainty (Information theory)
Modelos CUB
http://vocabularies.unesco.org/thesaurus/concept8873
- Rights
- openAccess
- License
- https://creativecommons.org/licenses/by-nc-sa/4.0/
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Cubm package in R to fit CUB models |
| title |
Cubm package in R to fit CUB models |
| spellingShingle |
Cubm package in R to fit CUB models Estadísticas científicas Science statistics Análisis de contenido (comunicación)-Procesamiento de datos Content analysis (communication) data processing Modelos lineales (estadística) Lineal models (statistics) Incertidumbre (teoría de la información) Uncertainty (Information theory) Modelos CUB http://vocabularies.unesco.org/thesaurus/concept8873 |
| title_short |
Cubm package in R to fit CUB models |
| title_full |
Cubm package in R to fit CUB models |
| title_fullStr |
Cubm package in R to fit CUB models |
| title_full_unstemmed |
Cubm package in R to fit CUB models |
| title_sort |
Cubm package in R to fit CUB models |
| dc.creator.fl_str_mv |
Úsuga Manco, Olga Cecilia Muñoz García, Sebastián Barajas Hernández, Freddy |
| dc.contributor.author.none.fl_str_mv |
Úsuga Manco, Olga Cecilia Muñoz García, Sebastián Barajas Hernández, Freddy |
| dc.contributor.researchgroup.spa.fl_str_mv |
ALIADO - Analítica e Investigación para la Toma de Decisiones |
| dc.subject.unesco.none.fl_str_mv |
Estadísticas científicas Science statistics |
| topic |
Estadísticas científicas Science statistics Análisis de contenido (comunicación)-Procesamiento de datos Content analysis (communication) data processing Modelos lineales (estadística) Lineal models (statistics) Incertidumbre (teoría de la información) Uncertainty (Information theory) Modelos CUB http://vocabularies.unesco.org/thesaurus/concept8873 |
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Análisis de contenido (comunicación)-Procesamiento de datos Content analysis (communication) data processing Modelos lineales (estadística) Lineal models (statistics) Incertidumbre (teoría de la información) Uncertainty (Information theory) |
| dc.subject.proposal.spa.fl_str_mv |
Modelos CUB |
| dc.subject.unescouri.none.fl_str_mv |
http://vocabularies.unesco.org/thesaurus/concept8873 |
| description |
ABSTRACT: The class of CUB models is commonly used by practitioners to model ordinal data, in this paper we propose the cubm package which provides the class of CUB models in the R system for statistical computing. The cubm package allows to specify a formula for each parameter of the model, the Maximum Likelihood (ML) estimation is performed by optimization via the functions nlminb, optim and DEoptim and the variance-covariance matrix can be obtained by numerical approximation of the Hessian matrix or by bootstrap method. The utility of the package is illustrated by an application and a simulation study. |
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2018 |
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2018 |
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2023-06-14T15:00:11Z |
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2023-06-14T15:00:11Z |
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Artículo de investigación |
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http://purl.org/coar/resource_type/c_2df8fbb1 |
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Barajas, Freddy & Usuga, Olga & Muñoz, Sebastián. (2018). cubm package in R to fit CUB models. Comunicaciones en Estadística. 11(2). 219-238. 10.15332/2422474x.3857. |
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2027-3355 |
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https://hdl.handle.net/10495/35488 |
| dc.identifier.doi.none.fl_str_mv |
10.15332/2422474x.3857 |
| dc.identifier.eissn.none.fl_str_mv |
2339-3076 |
| identifier_str_mv |
Barajas, Freddy & Usuga, Olga & Muñoz, Sebastián. (2018). cubm package in R to fit CUB models. Comunicaciones en Estadística. 11(2). 219-238. 10.15332/2422474x.3857. 2027-3355 10.15332/2422474x.3857 2339-3076 |
| url |
https://hdl.handle.net/10495/35488 |
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eng |
| language |
eng |
| dc.relation.ispartofjournalabbrev.spa.fl_str_mv |
Comunicaciones en Estadística |
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238 |
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2 |
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219 |
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11 |
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Comunicaciones en Estadística |
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Universidad Santo Tomás |
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Bogotá, Colombia |
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Úsuga Manco, Olga CeciliaMuñoz García, SebastiánBarajas Hernández, FreddyALIADO - Analítica e Investigación para la Toma de Decisiones2023-06-14T15:00:11Z2023-06-14T15:00:11Z2018Barajas, Freddy & Usuga, Olga & Muñoz, Sebastián. (2018). cubm package in R to fit CUB models. Comunicaciones en Estadística. 11(2). 219-238. 10.15332/2422474x.3857.2027-3355https://hdl.handle.net/10495/3548810.15332/2422474x.38572339-3076ABSTRACT: The class of CUB models is commonly used by practitioners to model ordinal data, in this paper we propose the cubm package which provides the class of CUB models in the R system for statistical computing. The cubm package allows to specify a formula for each parameter of the model, the Maximum Likelihood (ML) estimation is performed by optimization via the functions nlminb, optim and DEoptim and the variance-covariance matrix can be obtained by numerical approximation of the Hessian matrix or by bootstrap method. The utility of the package is illustrated by an application and a simulation study.RESUMEN: La clase de modelos CUB es usada comunmente por investigadores para modelar datos ordinales. En este art´ıculo se describe el paquete cubm que proporciona la clase de modelos CUB en el sistema de computaci´on estad´ıstica R. El paquete cubm permite especificar una f´ormula para cada par´ametro del modelo, las estimaciones de m´axima verosimilitud se obtienen por medio de optimizaci´on atrav´es de las funciones nlminb, optim y DEoptim y la matriz de varianza-covarianza se puede obtener por medio de aproximaci´on num´erica de la matriz Hessiana o por medio del m´etodo bootstrap. La utilidad del paquete se ilustra mediante una aplicaci´on y un estudio de simulaci´on.COL003185119application/pdfengUniversidad Santo TomásBogotá, Colombiahttps://creativecommons.org/licenses/by-nc-sa/4.0/http://creativecommons.org/licenses/by-nc-sa/2.5/co/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Cubm package in R to fit CUB modelsArtículo de investigaciónhttp://purl.org/coar/resource_type/c_2df8fbb1https://purl.org/redcol/resource_type/ARThttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionEstadísticas científicasScience statisticsAnálisis de contenido (comunicación)-Procesamiento de datosContent analysis (communication) data processingModelos lineales (estadística)Lineal models (statistics)Incertidumbre (teoría de la información)Uncertainty (Information theory)Modelos CUBhttp://vocabularies.unesco.org/thesaurus/concept8873Comunicaciones en Estadística238221911Comunicaciones en EstadísticaPublicationORIGINALUsugaOlga_2018_Cubm_Package.pdfUsugaOlga_2018_Cubm_Package.pdfArtículo de investigaciónapplication/pdf384327https://bibliotecadigital.udea.edu.co/bitstreams/02197266-e74b-4616-846b-41c6f4631f27/downloaddd3c11cd51406d53464969735e6e0e04MD51trueAnonymousREADCC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-81051https://bibliotecadigital.udea.edu.co/bitstreams/87173596-5339-4b50-86da-e950a50d9104/downloade2060682c9c70d4d30c83c51448f4eedMD52falseAnonymousREADLICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://bibliotecadigital.udea.edu.co/bitstreams/b81393c8-4f3e-4b41-a99a-21ab3fea1942/download8a4605be74aa9ea9d79846c1fba20a33MD53falseAnonymousREADTEXTUsugaOlga_2018_Cubm_Package.pdf.txtUsugaOlga_2018_Cubm_Package.pdf.txtExtracted texttext/plain38993https://bibliotecadigital.udea.edu.co/bitstreams/510f913f-58f2-47c1-a1aa-8b461c2d9889/downloadcf8e03ea4f15727d8b417bb66e76937aMD54falseAnonymousREADTHUMBNAILUsugaOlga_2018_Cubm_Package.pdf.jpgUsugaOlga_2018_Cubm_Package.pdf.jpgGenerated Thumbnailimage/jpeg9549https://bibliotecadigital.udea.edu.co/bitstreams/f2a8359c-2eef-4153-ade3-00e45be7ddaa/downloadd46e0e20d84e0ac8d1b40fe1025d175fMD55falseAnonymousREAD10495/35488oai:bibliotecadigital.udea.edu.co:10495/354882025-03-26 20:57:10.54https://creativecommons.org/licenses/by-nc-sa/4.0/open.accesshttps://bibliotecadigital.udea.edu.coRepositorio Institucional de la Universidad de Antioquiaaplicacionbibliotecadigitalbiblioteca@udea.edu.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 |