Nothing
#'@rdname lrt
#'@method LRT MPRM
#'@export
LRT.MPRM <-
function(object, splitcrit="score", ...){
if(is.character(splitcrit) && splitcrit == "score"){
sc <- rowSums(object$data)
scm <- ifelse(sc > median(sc), 1,0)
}
else{
if(!is.vector(splitcrit)){stop("Error: split criterium has to be a vector!", call. = FALSE)}
scm <- splitcrit
}
sp_dat <- split(as.data.frame(object$data), as.factor(scm), drop=FALSE)
sp_res <- lapply(sp_dat, function(dat) MPRM(dat, start=as.vector(object$itempar[-nrow(object$itempar), -ncol(object$data)])))
sp_val <- sapply(sp_res, function(ex) ex$logLikelihood)
sp_npar <- sapply(sp_res, function(ex) length(ex$estpar))
emp_Chi2 <- -2*(object$logLikelihood - sum(sp_val))
df <- sum(sp_npar) - length(object$estpar)
pval <- 1-pchisq(emp_Chi2, df)
itempar_split <- sapply(sp_res, function(re) list(re$itempar*(-1)))
itemse_split <- sapply(sp_res, function(re) list(re$itempar_se))
res_lrt <- list(emp_Chi2 = emp_Chi2, df=df, pval=pval, itempar=itempar_split, item_se=itemse_split)
class(res_lrt) <- "aLR"
res_lrt
}
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