Nothing
compMatImpSet3 <- function (object, set, useN = FALSE, iter = NULL, prob.case = 0.5,
score = c("DPO", "Conc", "Brier", "PL"), rand = NULL)
{
inbagg <- object$inbagg
ltree <- object$logreg.model
data <- object$data
cl <- object$cl
n.var <- ncol(data)
n.obs <- nrow(data)
n.set <- length(set)
B <- length(ltree)
mat.improve <- matrix(0, n.set, B)
tmp.fun <- paste("correctSet", ifelse(is.null(iter), "Remove",
"Permute"), object$type, sep = "")
FUN <- match.fun(tmp.fun)
if (!is.null(iter) && !is.null(rand))
set.seed(rand)
for (i in 1:B) {
tmp.ib <- inbagg[[i]]
oob <- which(!(1:n.obs) %in% tmp.ib)
if (is.null(iter)){
if(object$type != 4)
mat.improve[, i] <- FUN(ltree[[i]], data[tmp.ib, ], data[oob, ],
cl[tmp.ib], cl[oob], set, n.var, n.set,
prob.case = prob.case)
else
mat.improve[, i] <- FUN(ltree[[i]], data, cl, tmp.ib, oob, set,
n.var, n.set, score)
} else
mat.improve[, i] <- FUN(ltree[[i]], data[oob, ],
cl[oob], set, n.var, n.set, iter, prob.case = prob.case)
if (object$type == 3 && !useN)
mat.improve[, i] <- mat.improve[, i]/length(oob)
}
mat.improve
}
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