delt (version 0.8.2)

prune: Prepares for pruning an overfitting evaluation tree

Description

Finds a sequence of nodes of an overfitting evaluation tree which are candidates to be the pruning nodes. Pruning a tree means removing a branch starting from a node.

Usage

prune(et)

Arguments

et

an evaluation tree; output of "eval.cart", "densplit", ...

Value

A list containing the following components.

tree

the original tree which was given as the input

delnodes

vector giving a sequence of nodes in the order in which we should prune the branches starting from these nodes

delend

vector whose length is the number of subtrees of the original tree. With the help of "delend" we define the subtrees. Elements of "delend" define a sequence of nodes from "delnodes" in the following way: (1:delend[1]) is the first sequence, (delend[1]+1:delend[2]) is the second sequence, and so on. Then, i:th subtree is the result of pruning branches away whose roots are the nodes which are the first delend[i] elements of delnodes.

leafs

vector whose length is the number of subtrees of the original tree; number of leafs of the subtrees

alfa

vector whose length is the number of subtrees of the original tree; value of the corresponding alfa (complexity parameter) for every subtree

loglik

vector whose length is the number of subtrees of the original tree; the value of the likelihood criterion for the subtree

See Also

densplit, eval.pick

Examples

library(denpro)
dendat<-sim.data(n=100,seed=5,type="mulmodII")
et<-densplit(dendat)

treeseq<-prune(et)
treeseq$leafs
len<-length(treeseq$leafs)

leaf<-treeseq$leafs[len-10]
leaf
etsub<-eval.pick(treeseq,leaf=leaf)

dp<-draw.pcf(etsub)
#persp(dp$x,dp$y,dp$z,phi=25,theta=-120)