Package: DPtree 1.0.1
Shaoyang Ning
DPtree: Dirichlet-Based Polya Tree
Contains functions to perform copula estimation by the non-parametric Bayesian method, Dirichlet-based Polya Tree. See Ning (2018) <doi:10.1080/00949655.2017.1421194>.
Authors:
DPtree_1.0.1.tar.gz
DPtree_1.0.1.tar.gz(r-4.5-noble)DPtree_1.0.1.tar.gz(r-4.4-noble)
DPtree_1.0.1.tgz(r-4.4-emscripten)DPtree_1.0.1.tgz(r-4.3-emscripten)
DPtree.pdf |DPtree.html✨
DPtree/json (API)
| # Install 'DPtree' in R: |
| install.packages('DPtree', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 6 years agofrom:ed3a8fd1db. Checks:OK: 1 NOTE: 1. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 02 2024 |
| R-4.5-linux | NOTE | Nov 02 2024 |
Exports:dDPTreeRealizeDPTreeDensityDPTreePMeanDensityDPTreePosteriorDPTreePosteriorMultiDPTreePriorpDPTreeRealizeRealizeDPTreeSampleDPTreeDensity
Dependencies:codalatticeMASSMatrixMatrixModelsmcmcMCMCpackplyrquantregrbibutilsRcppRdpackSparseMsurvival
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| The disitribution function for realized distribution from D-P tree. | dDPTreeRealize |
| Calculating sub-partition probabiltiy measures for a realized distribution from D-P tree. | DPTreeDensity |
| Calculating sub-partition probabiltiy measures for the posterior mean distribution from D-P tree. | DPTreePMeanDensity |
| D-P tree posterior updating from a single copula observation. | DPTreePosterior |
| D-P tree posterior updating from multiple copula observations. | DPTreePosteriorMulti |
| Generating the standard D-P Tree prior | DPTreePrior |
| The disitribution function for realized distribution from D-P tree. | pDPTreeRealize |
| Sampling a realized distribution from the D-P Tree. | RealizeDPTree |
| Sample a copula observation from a realized distribution from D-P tree. | SampleDPTreeDensity |