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## File Name: tam_irt_parameterization.R
## File Version: 0.13
tam_irt_parameterization <- function(resp, maxK, B, AXsi, irtmodel="2PL",
tam_function="tam.mml", skillspace="normal")
{
items <- colnames(resp)
I <- length(items)
item_irt <- NULL
is_poly <- maxK > 2
do_irt_param <- TRUE
if (dim(B)[3] > 1 ){
do_irt_param <- FALSE
}
if (irtmodel=="tam.mml.2pl"){
if (tam_function=="2PL"){
do_irt_param <- FALSE
}
}
if (irtmodel=="tam.mml.3pl"){
if (skillspace!="normal"){
do_irt_param <- FALSE
}
}
#* do IRT parameterization
if (do_irt_param){
nc <- maxK+1
if (! is_poly){
nc <- 2
}
AXsi <- - AXsi
item_irt <- matrix(NA, nrow=I, ncol=nc)
lab <- NULL
if (is_poly){
lab <- paste0("tau.Cat",1:(maxK-1) )
}
colnames(item_irt) <- c("alpha", "beta", lab)
item_irt <- data.frame( item=items, item_irt)
alpha <- B[,2,1]
item_irt$alpha <- alpha
xsi_irt <- AXsi / alpha
for (ii in 1:I){
xsi_irt_ii <- xsi_irt[ii,]
Ki <- sum( 1-is.na(xsi_irt_ii) ) - 1
beta_est <- xsi_irt_ii[Ki+1] / Ki
item_irt[ii,"beta"] <- beta_est
if (Ki>1){
for (kk in 1:Ki){
item_irt[ii,paste0("tau.Cat",kk)] <- xsi_irt_ii[kk+1] - beta_est - xsi_irt_ii[kk]
}
}
}
}
#--- output
return(item_irt)
}
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