delt (version 0.8.2)

scaspa: Finds the number of modes of histograms which are obtained by pruning an overfitting histogram

Description

Function "densplit" returns an overfitting histogram as an evaluation tree. Function "prune" finds the candidate nodes for pruning. Function "scaspa" finds the number of modes (local maxima) in the histograms which are obtained by using these candidate nodes for pruning.

Usage

scaspa(treeseq, bind, eind)

Arguments

treeseq

a list returned by function "prune"

bind

integer in 1:subnum, where subnum is the number of elements in field "leafs" of "treeseq". We need bind

eind

integer in 1:subnum, where subnum is the number of elements in field "leafs" of "treeseq". We need bind

Value

List with the following vectors whose length is (eind-bind+1)

moodilkm

number of local maxima for each subtree

alfas

value of the smoothing parameter alpha for each subtree

leafnums

number of leaves for each subtree

See Also

densplit, prune

Examples

set.seed(1)
dendat<-matrix(rnorm(20),10)  
minlkm<-2
et<-densplit(dendat,minlkm)
treeseq<-prune(et)
treeseq$leafs

scaspa(treeseq,1,5)