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 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.

• 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/