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 Likel...

Full description

Autores:
Barajas, Freddy Hernández
Usuga Manco, Olga Cecilia
García Muñoz, Sebastián
Tipo de recurso:
Fecha de publicación:
2018
Institución:
Universidad Santo Tomás
Repositorio:
Repositorio Institucional USTA
Idioma:
eng
OAI Identifier:
oai:repository.usta.edu.co:11634/14881
Acceso en línea:
https://revistas.usantotomas.edu.co/index.php/estadistica/article/view/11
Palabra clave:
CUB models, Feeling and uncertainty, Ordinal data, R.
Rights
License
Copyright (c) 2018 Comunicaciones en Estadística
id SANTTOMAS2_5ec190de671dc5a430736c336509ac6f
oai_identifier_str oai:repository.usta.edu.co:11634/14881
network_acronym_str SANTTOMAS2
network_name_str Repositorio Institucional USTA
repository_id_str
spelling Barajas, Freddy HernándezUsuga Manco, Olga CeciliaGarcía Muñoz, Sebastián2018-12-21https://revistas.usantotomas.edu.co/index.php/estadistica/article/view/11The 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.application/pdfengUniversidad Santo Tomáshttps://revistas.usantotomas.edu.co/index.php/estadistica/article/view/11/pdfComunicaciones en Estadística; Vol. 11, Núm. 2 (2018); 219-2382339-30762027-3355Comunicaciones en Estadística; Vol. 11, Núm. 2 (2018); 219-238Copyright (c) 2018 Comunicaciones en Estadísticahttp://purl.org/coar/access_right/c_abf2cubm package in R to fit CUB modelsinfo:eu-repo/semantics/articlehttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_2df8fbb1CUB models, Feeling and uncertainty, Ordinal data, R.11634/14881oai:repository.usta.edu.co:11634/148812023-07-14 16:37:32.213metadata only accessRepositorio Universidad Santo Tomásnoreply@usta.edu.co
dc.title.alternative.eng.fl_str_mv cubm package in R to fit CUB models
dc.creator.fl_str_mv Barajas, Freddy Hernández
Usuga Manco, Olga Cecilia
García Muñoz, Sebastián
dc.contributor.author.spa.fl_str_mv Barajas, Freddy Hernández
Usuga Manco, Olga Cecilia
García Muñoz, Sebastián
dc.subject.proposal.eng.fl_str_mv CUB models, Feeling and uncertainty, Ordinal data, R.
topic CUB models, Feeling and uncertainty, Ordinal data, R.
spellingShingle CUB models, Feeling and uncertainty, Ordinal data, R.
description 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.
publishDate 2018
dc.date.issued.spa.fl_str_mv 2018-12-21
dc.type.coarversion.fl_str_mv http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.coar.fl_str_mv http://purl.org/coar/resource_type/c_2df8fbb1
dc.type.drive.none.fl_str_mv info:eu-repo/semantics/article
dc.identifier.spa.fl_str_mv https://revistas.usantotomas.edu.co/index.php/estadistica/article/view/11
url https://revistas.usantotomas.edu.co/index.php/estadistica/article/view/11
dc.language.iso.spa.fl_str_mv eng
language eng
dc.relation.spa.fl_str_mv https://revistas.usantotomas.edu.co/index.php/estadistica/article/view/11/pdf
dc.relation.citationissue.spa.fl_str_mv Comunicaciones en Estadística; Vol. 11, Núm. 2 (2018); 219-238
2339-3076
2027-3355
dc.relation.citationissue.eng.fl_str_mv Comunicaciones en Estadística; Vol. 11, Núm. 2 (2018); 219-238
dc.rights.spa.fl_str_mv Copyright (c) 2018 Comunicaciones en Estadística
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_abf2
rights_invalid_str_mv Copyright (c) 2018 Comunicaciones en Estadística
http://purl.org/coar/access_right/c_abf2
dc.format.mimetype.spa.fl_str_mv application/pdf
dc.publisher.spa.fl_str_mv Universidad Santo Tomás
institution Universidad Santo Tomás
repository.name.fl_str_mv Repositorio Universidad Santo Tomás
repository.mail.fl_str_mv noreply@usta.edu.co
_version_ 1782026137588727808

Publicaciones similares