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## File Name: regpolca_penalty_fun.R
## File Version: 0.05
regpolca_penalty_fun <- function(x, regular_grouped, I, partable,
combis_classes_list, regular_lam, eps, penalty_used, Ni,
combis_categ_list, fuse_categories, K)
{
pen <- 0
if (regular_grouped=='none'){
#* fused probabilities among classes
for (ii in 1L:I){
x_ii <- x[ partable$itemnr==ii ]
a1 <- regpolca_penalty_fun_value_nongrouped(x_ii=x_ii,
combis_ii=combis_classes_list[[ii]],
regular_lam=regular_lam[1],
eps=eps, penalty_used=penalty_used)
pen <- pen + Ni[ii]*sum(a1)
}
#* fixed probabilities among categories
for (ii in 1L:I){
if (fuse_categories[ii]){
x_ii <- x[ partable$itemnr==ii ]
a1 <- regpolca_penalty_fun_value_nongrouped(x_ii=x_ii,
combis_ii=combis_categ_list[[ii]],
regular_lam=regular_lam[2],
eps=eps, penalty_used=penalty_used)
pen <- pen + Ni[ii]*sum(a1)
}
}
} else {
for (ii in 1L:I){
x_ii <- x[ partable$itemnr==ii ]
combis_ii <- combis_categ_list[[ii]]
nc <- nrow(combis_ii)
a1 <- 0
if (regular_grouped=='class'){
K1 <- max(combis_ii$cat_pair)
for (kk in 1:K1){
cii_kk <- combis_ii[ seq(kk,nc,by=nc/K), ]
a2 <- regpolca_penalty_fun_value_grouped(x_ii=x_ii,
combis_ii=cii_kk, regular_lam=regular_lam[1],
eps=eps, penalty_used=penalty_used)
a1 <- a1 + a2
}
}
if (regular_grouped=='categ'){
for (kk in 1:K){
cii_kk <- combis_ii[ combis_ii$class==kk, ]
a2 <- regpolca_penalty_fun_value_grouped(x_ii=x_ii,
combis_ii=cii_kk, regular_lam=regular_lam[1],
eps=eps, penalty_used=penalty_used)
a1 <- a1 + a2
}
}
pen <- pen + Ni[ii]*sum(a1)
}
}
return(pen)
}
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