R/slca_calc_counts.R

In CDM: Cognitive Diagnosis Modeling

## File Name: slca_calc_counts.R
## File Version: 0.06


################################################
# calculation of expected counts
slca_calc_counts <- function(G, weights, dat.ind, dat, dat.resp,
            p.aj.xi, K, n.ik, TP,I,group, dat.ind2, ind.group, use.freqpatt )
{
    N.ik <- array( 0, dim=c(TP,I,G) )
    N.ik1 <- array( 0, dim=c(TP,I) )
    n.ik1 <- array( 0, dim=c(TP,I,K+1 ) )
    #-------------------------------------
    #--- single group
    if (G==1){
        gg <- 1
        for (kk in 1:(K+1)){   #        kk <- 1    # category 0 ( -> 1 )
            dkk2 <- dat.ind2[[kk]][[gg]]
            n.ik[,,kk,gg] <- crossprod( p.aj.xi, dkk2 )
            n.ik1[,,kk] <- n.ik[,,kk,gg]
            N.ik[,,gg] <- N.ik[,,gg] + n.ik[,,kk,gg]
        }
        N.ik1 <- N.ik1 + N.ik[,,gg]
    }
    #-------------------------------------
    #--- multiple groups
    if (G>1){
        for (gg in 1:G){    # gg <- 1
            if ( ! use.freqpatt ){
                ind.gg <- ind.group[[gg]]
                t.p.aj.xi.gg <- t( p.aj.xi[ind.gg,] )
            }
            if (  use.freqpatt ){
                t.p.aj.xi.gg <- t( p.aj.xi[[gg]] )
            }
            for (kk in 1:(K+1)){   #        kk <- 1    # category 0 ( -> 1 )
                dkk2 <- dat.ind2[[kk]][[gg]]
                if ( use.freqpatt ){
                    if (G>1){
                        dkk2 <- dkk2[ which(weights[,gg] > 0), ]
                    }
                }
                n.ik[,,kk,gg] <- t.p.aj.xi.gg %*% dkk2
                n.ik1[,,kk] <- n.ik1[,,kk] + n.ik[,,kk,gg]
                N.ik[,,gg] <- N.ik[,,gg] + n.ik[,,kk,gg]
            }
            N.ik1 <- N.ik1 + N.ik[,,gg]
        }  # end gg
    }  # end multiple group
    #----- output
    res <- list(n.ik=n.ik, N.ik=N.ik, n.ik1=n.ik1, N.ik1=N.ik1)
    return(res)
}



.slca.calc.counts <- slca_calc_counts