Performs the comparison criterias for the Bayesian t Regression
criteria(object,...)
the logaritmic of the liklihood of the model
the AiC criteria
the BIC criteria
the DIC criteria
the pseudo deviance criteria of the model as is proposed in Marin and Cepeda (_).
object of class "Bayesiantreg"
not used.
Margarita Marin mmarinj@unal.edu.co, Edilberto Cepeda-Cuervo ecepedac@unal.edu.co,
This function allows to extract the information criteria from the model AIC, BIC, DIC and pseudo-deviance.
1. Marin and Cepeda-Cuervo (_). A Bayesian regression model for the non-standardized t distribution with location, scale and degrees of freedom parameters. Unpublished
2. Cepeda-Cuervo E. (2001). Modelagem da variabilidade em modelos lineares generalizados. Unpublished Ph.D. tesis. Instituto de Matematicas. Universidade Federal do Rio do Janeiro.
3. Cepeda C., E. and Gamerman D. (2001). Bayesian Modeling of Variance Heterogeneity in Normal Regression Models. Brazilian Journal of Probability and Statistics. 14, 207-221