lstseq.greedy: Calculates a scale of greedy histograms
In delt: Estimation of Multivariate Densities Using Adaptive Partitions

Description Usage Arguments Value Author(s) See Also Examples

Calculates a scale of greedy histograms. The histograms in the scale have a partition of growing cardinality. Returns a sequence of estimates as piecewise constant functions and optionally as level set trees. Optionally a shape tree for a level set of each estimate is calculated.

1	lstseq.greedy(dendat, maxleaf, lstree = NULL, level = NULL)

`dendat`	n*d data matrix
`maxleaf`	integer>1; the scale consists of histograms whose partitions have cardinality 1,...,maxleaf
`lstree`	if NULL, then level set trees are not calculated
`level`	if NULL, then shape trees are not calculated; if positive number, then it is the level of the level sets for which the shape trees are calculated

A list with components

`lstseq`	a list of level set trees
`pcfseq`	a list of piecewise constant functions
`stseq`	a list of shape trees
`hseq`	a vector of smoothing parameters corresponding to the members in the sequences; the smoothing parameter is the cardinality of the partition

Jussi Klemela

eval.greedy,

library(denpro)
dendat<-sim.data(n=100,seed=1,type="mulmodII")
estiseq<-lstseq.greedy(dendat,maxleaf=20,lstree=TRUE)

mt<-modegraph(estiseq)

plotmodet(mt)

#scaletable(estiseq)