criteria: Criteria for Comparison the Bayesian Gamma Regression.

In Bayesiangammareg: Bayesian Gamma Regression: Joint Mean and Shape Modeling

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 [e-mail], Edilberto Cepeda-Cuervo [e-mail]

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.

Bayesiangammareg documentation built on March 26, 2020, 7:52 p.m.