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:Luca Weihs [aut], Emin Martinian [ctb], Julian D. Karch [cre]

TauStar_1.1.9.tar.gz
TauStar_1.1.9.zip(r-4.7-x86_64)TauStar_1.1.9.zip(r-4.7-arm64)TauStar_1.1.9.zip(r-4.6-x86_64)TauStar_1.1.9.zip(r-4.6-arm64)TauStar_1.1.9.zip(r-4.5-x86_64)
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

Uses libs:

openblas– Optimized BLAS
c++– GNU Standard C++ Library v3

On CRAN:

openblas cpp

3.45 score 56 scripts 341 downloads 15 exports 2 dependencies

Last updated from:a8e5544e71. Checks:15 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	OK	327
linux-devel-x86_64	OK	184
source / vignettes	OK	178
linux-release-arm64	OK	329
linux-release-x86_64	OK	202
macos-release-arm64	OK	190
macos-release-x86_64	OK	583
macos-oldrel-arm64	OK	189
macos-oldrel-x86_64	OK	339
windows-devel-arm64	OK	410
windows-devel-x86_64	OK	219
windows-release-arm64	OK	422
windows-release-x86_64	OK	230
windows-oldrel-x86_64	OK	243
wasm-release	OK	120

Exports:dDisHoeffInd dHoeffInd dMixHoeffInd eigenForDiscreteProbs pDisHoeffInd pHoeffInd pMixHoeffInd qDisHoeffInd qHoeffInd qMixHoeffInd rDisHoeffInd rHoeffInd rMixHoeffInd tauStarTest tStar

Dependencies:Rcpp RcppArmadillo

Citation

Development and contributors

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