Package: TauStar 1.1.7
TauStar: Efficient Computation and Testing of the Bergsma-Dassios Sign Covariance
Computes the t* statistic corresponding to the tau* population coefficient introduced by Bergsma and Dassios (2014) <doi:10.3150/13-BEJ514> and does so in O(n^2) time following the algorithm of Heller and Heller (2016) <doi:10.48550/arXiv.1605.08732> building off of the work of Weihs, Drton, and Leung (2016) <doi:10.1007/s00180-015-0639-x>. Also allows for independence testing using the asymptotic distribution of t* as described by Nandy, Weihs, and Drton (2016) <doi:10.1214/16-EJS1166>.
Authors:
TauStar_1.1.7.tar.gz
TauStar_1.1.7.zip(r-4.5)TauStar_1.1.7.zip(r-4.4)TauStar_1.1.7.zip(r-4.3)
TauStar_1.1.7.tgz(r-4.4-x86_64)TauStar_1.1.7.tgz(r-4.4-arm64)TauStar_1.1.7.tgz(r-4.3-x86_64)TauStar_1.1.7.tgz(r-4.3-arm64)
TauStar_1.1.7.tar.gz(r-4.5-noble)TauStar_1.1.7.tar.gz(r-4.4-noble)
TauStar_1.1.7.tgz(r-4.4-emscripten)TauStar_1.1.7.tgz(r-4.3-emscripten)
TauStar.pdf |TauStar.html✨
TauStar/json (API)
NEWS
| # Install 'TauStar' in R: |
| install.packages('TauStar', repos = c('https://karchjd.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 14 days agofrom:5e05707b25. Checks:OK: 8 ERROR: 1. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Dec 13 2024 |
| R-4.5-win-x86_64 | OK | Dec 13 2024 |
| R-4.5-linux-x86_64 | OK | Dec 13 2024 |
| R-4.4-win-x86_64 | OK | Dec 13 2024 |
| R-4.4-mac-x86_64 | OK | Dec 13 2024 |
| R-4.4-mac-aarch64 | OK | Dec 13 2024 |
| R-4.3-win-x86_64 | ERROR | Dec 13 2024 |
| R-4.3-mac-x86_64 | OK | Dec 13 2024 |
| R-4.3-mac-aarch64 | OK | Dec 13 2024 |
Exports:dDisHoeffInddHoeffInddMixHoeffIndeigenForDiscreteProbspDisHoeffIndpHoeffIndpMixHoeffIndqDisHoeffIndqHoeffIndqMixHoeffIndrDisHoeffIndrHoeffIndrMixHoeffIndtauStarTesttStar
Dependencies:RcppRcppArmadillo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Efficient Computation and Testing of the t* Statistic of Bergsma and Dassios | TauStar-package TauStar |
| Quantiles of a distribution. | binaryQuantileSearch |
| Eigenvalues for discrete asymptotic distribution | eigenForDiscreteProbs |
| Determine if input data is discrete | isDiscrete |
| Check if a Valid Probability | isProb |
| Check if Vector of Probabilities | isProbVector |
| Is Vector Valid Data? | isValidDataVector |
| Null asymptotic distribution of t* in the discrete case | dDisHoeffInd pDisHoeffInd qDisHoeffInd rDisHoeffInd |
| Null asymptotic distribution of t* in the continuous case | dHoeffInd pHoeffInd qHoeffInd rHoeffInd |
| Null asymptotic distribution of t* in the mixed case | dMixHoeffInd pMixHoeffInd qMixHoeffInd rMixHoeffInd |
| Print Tau* Test Results | print.tstest |
| Test of Independence Using the Tau* Measure | tauStarTest |
| Computing t* | tStar |
