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## File Name: ccov_np_compute_ccov_sum_score.R
## File Version: 0.161
ccov_np_compute_ccov_sum_score <- function(score, data, use_rcpp=TRUE)
{
scores <- sort(unique(score))
wgt_score <- sirt_sum_norm(table(score))
NS <- length(scores)
ccov_ff <- rep(NA,NS)
if (!use_rcpp){
for (ss in 1:NS){
i1 <- which(score==scores[ss])
s1 <- stats::cov.wt(x=data[i1,], method='ML')
ccov_ff[ss] <- s1$cov[1,2]
}
ccov_ff[is.na(ccov_ff)] <- 0
} else {
index <- match(score, scores)-1
ccov_ff <- sirt_rcpp_ccov_np_compute_ccov_sum_score( index=index,
NS=NS, data=as.matrix(data) )
}
ccov_aggr <- sum(wgt_score*ccov_ff)
res <- list(ccov_ff=ccov_ff, scores=scores, ccov_aggr=ccov_aggr)
return(res)
}
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