Nothing
random.effects <- function(object, HPDinterval=FALSE, prob=0.95)
{
if(!inherits(object, "Bayesthresh"))
stop("Use an object of class Bayesthresh")
tc <- (dim(object$compVar)[1])-1
ret <- dim(coef(object))[1]
aleat <- NULL
if (tc == 1){
aleat <- data.frame(object$EfRandom, row.names=object$NomesZ)
class(aleat) <- c("random.effects", "data.frame","conf")
if(HPDinterval==TRUE){
aleat <- data.frame(object$EfRandom, row.names=object$NomesZ)
HPD <- HPDinterval(mcmc(object$outp.mcmc[[1]][,c((ret+1):(ncol(object$outp.mcmc[[1]])))]), prob=prob)
rownames(HPD) <- c(object$Nomes)
hpd.data <- data.frame(aleat,HPD)
class(hpd.data) <- c("random.effects","data.frame","hpd")
return(hpd.data)
}
else
return(aleat)
}
else {
res.mcmc <- list()
gera.out <- list()
resmat <- object$outp.mcmc[[1]][,-(1:ret)]
il <- 1
ifc <- object$fl
ic <- object$fl[1]
for(i in 2:tc){
ic[i] <- ifc[i]+ic[i-1]
il[i] <- ic[i]-ifc[i]+1
}
for(i in 1:tc){
aleat[[i]] <- data.frame(object$EfRandom[il[i]:ic[i],], row.names=object$NomesZ[il[i]:ic[i]])
class(aleat[[i]]) <- "data.frame"
if(HPDinterval==TRUE)
{
res.mcmc[[i]] <- HPDinterval(mcmc(resmat[,il[i]:ic[i]]),prob=prob)
gera.out[[i]] <- data.frame(aleat[[i]],res.mcmc[[i]])
class(gera.out[[i]]) <- "data.frame"
}
}
if(HPDinterval==TRUE)
{
names(gera.out) <- rownames(object$compVar[1:(nrow(object$compVar)-1),])
class(gera.out) <- c("random.effects","hpd")
return(gera.out)
}
else{
names(aleat) <- rownames(object$compVar[1:(nrow(object$compVar)-1),])
class(aleat) <- c("random.effects","conf")
return(aleat)
}
}
}
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