criteria {Bayesiangammareg} | R Documentation |
Criteria for Comparison the Bayesian Gamma Regression.
Description
Performs the comparison criterias for the Bayesian Gamma regression
Usage
criteria(X, gammaresiduals)
Arguments
X |
object of class matrix, with the independent variable for the mean. |
gammaresiduals |
object of class bayesiangammareg, with the residuals of the Bayesian Gamma regression, that can be calculated by the function gammaresiduals |
Details
This function calculate the residuals of a Bayesian Gamma regression.
Value
deviance |
the deviance criteria |
AIC |
the AIC criteria |
BIC |
the BIC criteria |
Author(s)
Arturo Camargo Lozano bacamargol@unal.edu.co, Edilberto Cepeda-Cuervo ecepedac@unal.edu.co
References
1. Cepeda-Cuervo E. (2001) Modelagem da variabilidade em modelos lineares generalizados. Ph.D. tesis. Instituto de Matematicas. Universidade Federal do Rio do Janeiro. 2. Cepeda-Cuervo E. and Gamerman D. (2005). Bayesian Methodology for modeling parameters in the two-parameter exponential family. Estadistica 57, 93 105. 3. Espinheira, P. L., Ferrari, S. L., and Cribari-Neto, F. On beta regression residuals. Journal of Applied Statistics 4. Cepeda-Cuervo E., Corrales, M., Cifuentes, M. V., and Zarate, H. (2016). On Gamma Regression Residuals.