DPTreeDensity: Calculating sub-partition probabiltiy measures for a realized...
In DPtree: Dirichlet-Based Polya Tree
Description
Usage
Arguments
Value
References
Examples
Description
DPTreeDensity returns
the probablity measures in the finest sub-partitions of a realized distribution from D-P tree prior/posterior.
Usage
1
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
\insertRefDPtreeDPtree
Examples
1
2
dp.rlz <- RealizeDPTree(DPTreePrior(m=2, z=1))
DPTreeDensity(dp.rlz)
DPtree documentation built on May 2, 2019, 2:10 p.m.
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Description Usage Arguments Value References Examples
Description
DPTreeDensity returns
the probablity measures in the finest sub-partitions of a realized distribution from D-P tree prior/posterior.
Usage
1 |
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 |
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
\insertRefDPtreeDPtree
Examples
1 2 | dp.rlz <- RealizeDPTree(DPTreePrior(m=2, z=1))
DPTreeDensity(dp.rlz)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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