DPtree (version 1.0.1)

DPTreeDensity: Calculating sub-partition probabiltiy measures for a realized distribution from D-P tree.

Description

DPTreeDensity returns the probablity measures in the finest sub-partitions of a realized distribution from D-P tree prior/posterior.

Usage

DPTreeDensity(Z)

Arguments

Z

An array of dimension of \(2^m\) by \(2^m\) by m, m being the approximation level. Realized Z's for all partitions at each level, as returned by RealizeDPTree.

Value

A \(2^m\) by \(2^m\) matrix. Normalized measures for all \(2^m\) by \(2^m\) sub-partititons on copula space given by the realized distribution from D-P tree.

References

DPtreeDPtree

Examples

# NOT RUN {
dp.rlz <- RealizeDPTree(DPTreePrior(m=2, z=1))
DPTreeDensity(dp.rlz)
# }