eval.pick: Returns a subtree of an evaluation tree

In delt: Estimation of Multivariate Densities Using Adaptive Partitions

Description

Returns a subtree of an evaluation tree. The subtree has a specified number of leafs. The evaluation tree is calculated by "densplit" function. To find out the possible values for the number of leaves we use function "prune".

Usage

eval.pick(treeseq, leaf)

Arguments

treeseq	an overfitting evaluation tree with information on the possible pruning nodes; output of function "prune"
leaf	positive integer; number of leaves in the subtree to be returned

Value

Returns an evaluation tree, see the documentation of function "eval.cart"

Author(s)

Jussi Klemela

See Also

densplit, prune

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)

delt documentation built on May 2, 2019, 3:42 p.m.