Package: TauStar 1.1.9
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_1.1.9.tar.gz
TauStar_1.1.9.zip(r-4.7)TauStar_1.1.9.zip(r-4.6)TauStar_1.1.9.zip(r-4.5)
TauStar_1.1.9.tgz(r-4.6-x86_64)TauStar_1.1.9.tgz(r-4.6-arm64)TauStar_1.1.9.tgz(r-4.5-x86_64)TauStar_1.1.9.tgz(r-4.5-arm64)
TauStar_1.1.9.tar.gz(r-4.7-arm64)TauStar_1.1.9.tar.gz(r-4.7-x86_64)TauStar_1.1.9.tar.gz(r-4.6-arm64)TauStar_1.1.9.tar.gz(r-4.6-x86_64)
TauStar_1.1.9.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
TauStar/json (API)
| # Install 'TauStar' in R: |
| install.packages('TauStar', repos = c('https://karchjd.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/karchjd/taustar/issues
Last updated from:a8e5544e71. Checks:13 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 363 | ||
| linux-devel-x86_64 | OK | 233 | ||
| source / vignettes | OK | 233 | ||
| linux-release-arm64 | OK | 369 | ||
| linux-release-x86_64 | OK | 236 | ||
| macos-release-arm64 | OK | 223 | ||
| macos-release-x86_64 | OK | 353 | ||
| macos-oldrel-arm64 | OK | 252 | ||
| macos-oldrel-x86_64 | OK | 428 | ||
| windows-devel | OK | 236 | ||
| windows-release | OK | 258 | ||
| windows-oldrel | OK | 256 | ||
| wasm-release | OK | 132 |
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 |
| Heuristic check for discrete numeric data | 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 |
