DPTreePMeanDensity: Calculating sub-partition probabiltiy measures for the...
In DPtree: Dirichlet-Based Polya Tree
Description
Usage
Arguments
Value
References
Examples
Description
DPTreePMeanDensity returns
the probablity measures in the finest sub-partitions of the posterior mean from D-P tree.
Usage
1
DPTreePMeanDensity(prior)
Arguments
prior
A list. D-P tree specification. Should be in same format as returned from DPTreePrior or DPTreePosterior.
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 posterior mean distribution from D-P tree.
References
\insertRefDPtreeDPtree
Examples
1
DPTreePMeanDensity(DPTreePrior(m=2, z=1))
DPtree documentation built on May 2, 2019, 2:10 p.m.
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Description Usage Arguments Value References Examples
Description
DPTreePMeanDensity returns
the probablity measures in the finest sub-partitions of the posterior mean from D-P tree.
Usage
1 | DPTreePMeanDensity(prior)
|
Arguments
prior |
A list. D-P tree specification. Should be in same format as returned from |
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 posterior mean distribution from D-P tree.
References
\insertRefDPtreeDPtree
Examples
1 | DPTreePMeanDensity(DPTreePrior(m=2, z=1))
|
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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