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dc.contributoren-US
dc.creatorBarajas, Freddy Hernández
dc.creatorUsuga Manco, Olga Cecilia
dc.creatorGarcía Muñoz, Sebastián
dc.date2018-12-21
dc.date.accessioned2019-01-22T14:32:56Z
dc.date.available2019-01-22T14:32:56Z
dc.identifierhttps://revistas.usantotomas.edu.co/index.php/estadistica/article/view/11
dc.identifier.urihttp://hdl.handle.net/11634/14881
dc.descriptionThe 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.en-US
dc.formatapplication/pdf
dc.languageeng
dc.publisherUniversidad Santo Tomáses-ES
dc.relationhttps://revistas.usantotomas.edu.co/index.php/estadistica/article/view/11/pdf
dc.rightsCopyright (c) 2018 Comunicaciones en Estadísticaes-ES
dc.sourceComunicaciones en Estadística; Vol. 11, Núm. 2 (2018); 219-238es-ES
dc.sourceComunicaciones en Estadística; Vol. 11, Núm. 2 (2018); 219-238en-US
dc.source2339-3076
dc.source2027-3355
dc.subjectCUB models, Feeling and uncertainty, Ordinal data, R.en-US
dc.titlecubm package in R to fit CUB modelsen-US
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion
dc.typees-ES


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