Nothing

```
cvgrid <-
function(yy, B, quantile, DD, nb, constmat, types)
{
las1 = seq(-2, 4, by = 0.75)
glatterms = which(types != "parametric")
lambdas_list <- list()
penalty <- 1
if(length(glatterms) >= 1) {
for (i in 1:length(glatterms)){
lambdas_list[[i]] <- las1
}
lambdas <- expand.grid(lambdas_list)
score = rep(0, nrow(lambdas))
lambdas = 10^lambdas
penalty = rep(0, length(types))
for (i in 1:nrow(lambdas)) {
penalty[glatterms] = lambdas[i, ]
aa <- asyregpen.lsfit(yy, B, quantile, abs(penalty), DD, nb, constmat)
score_temp = aa$weight*(yy - B%*%aa$a)^2/(1-aa$diag.hat.ma)^2
score[i] = mean(score_temp[which(is.finite(score_temp))],na.rm=TRUE) # laws Code
#score[i] = mean(aa$weight * (yy - B %*% aa$a)^2/(1 - aa$diag.hat.ma)^2,na.rm = TRUE)
}
penalty[glatterms] = lambdas[which.min(score), ]
}
penalty
}
```

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