Regresión Gamma con el paquete Gammareg en R

The class of gamma regression models is based on the assumption that the depen- dent variable is gamma distributed and that its mean is related to a set of regressors through a linear predictor with unknown coefficients and a link function. This link can be the identity, the inverse or the logarithm function. The model also includes a shape parameter, which may be constant or dependent on a set of regressors through a link function, as the logarithm function. In this paper we describe the Gammareg R-package, which provides the class of gamma regressions in the R system for their statistical computing. The underlying theory is briefly presented and the library implementation illustrated from simulation studies. 

• Autores: Bossio, Martha Corrales; Cuervo, Edilberto Cepeda
• Fecha de publicación: 2015
• Institución: Universidad Santo Tomás
• Repositorio: Repositorio Institucional USTA
• Idioma: eng
• OAI Identifier: oai:repository.usta.edu.co:11634/39613
• Acceso en línea: https://revistas.usantotomas.edu.co/index.php/estadistica/article/view/2050; http://hdl.handle.net/11634/39613
• Palabra clave: Algoritmo Fisher-Scoring; estructura de regresión en forma; estructura de regresión en media; regresión Gamma; software R.
• License: http://purl.org/coar/access_right/c_abf2