Bayesianbetareg (version 1.2)

criteria: criteria for comparison the bayesian beta regression

Description

Performs the comparison criterias for the Bayesian Beta Regression

Usage

criteria(X,beta.residuals)

Arguments

X

object of class matrix, with the independent variable for the mean

beta.residuals

object of class bayesbetareg, with the residuals of the Bayesian Beta regression, that can be calculated by the function beta.residuals

Value

deviance

the deviance criteria

AIC

the AiC criteria

BIC

the BIC criteria

Details

This function calculate the residuals of a bayesian beta regression.

Examples

library(betareg)
data(ReadingSkills)

Y <- as.matrix(ReadingSkills[,1])
n <- length(Y)
X1 <- as.matrix(ReadingSkills[,2])
for(i in 1:length(X1)){
  X1 <- replace(X1,X1=="yes",1)
  X1 <- replace(X1,X1=="no",0)
}
X0 <- rep(1, times=n)
X1 <- as.numeric(X1)
X2 <- as.matrix(ReadingSkills[,3])
X3 <- X1*X2
X <- cbind(X0,X1,X2,X3)
Z0 <-  X0 
Z <- cbind(X0,X1)

burn <- 0.3
jump <- 3
nsim <- 400

bpri <- c(0,0,0,0)
Bpri <- diag(100,nrow=ncol(X),ncol=ncol(X))
gpri <- c(0,0)
Gpri <- diag(10,nrow=ncol(Z),ncol=ncol(Z))

re<-Bayesianbetareg(Y,X,Z,nsim,bpri,Bpri,gpri,Gpri,0.3,3,graph1=FALSE,graph2=FALSE)
summary(re)

readingskillsresiduals<- betaresiduals(Y,X,re)

readingskillscriterias <- criteria(X,readingskillsresiduals)