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TauStar
View on CRAN: Click
here
Download and install TauStar package within the R console
Install from CRAN:
install.packages("TauStar")
Install from Github:
library("remotes")
install_github("cran/TauStar") Install by package version:
library("remotes")
install_version("TauStar", "1.1.8") Attach the package and use:
library("TauStar")
Maintained by
Julian D. Karch
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-10-09
Latest Update: 2024-12-12
Description:
Computes the t* statistic corresponding to the tau* population
coefficient introduced by Bergsma and Dassios (2014)
and does so in O(n^2) time following the algorithm of Heller and
Heller (2016) building off of the work of Weihs,
Drton, and Leung (2016) . Also allows for
independence testing using the asymptotic distribution of t* as described by
Nandy, Weihs, and Drton (2016) .
How to cite:
Julian D. Karch (2015). TauStar: Efficient Computation and Testing of the Bergsma-Dassios Sign Covariance. R package version 1.1.8, https://cran.r-project.org/web/packages/TauStar. Accessed 25 Jun. 2026.
Previous versions and publish date:
Other packages that cited TauStar R package
View TauStar citation profile
Other R packages that TauStar depends,
imports, suggests or enhances
Complete documentation for TauStar
Functions, R codes and Examples using
the TauStar R package
Some associated functions: TauStar-package . binaryQuantileSearch . eigenForDiscreteProbs . isDiscrete . isProb . isProbVector . isValidDataVector . pDisHoeffInd . pHoeffInd . pMixHoeffInd . print.tstest . tStar . tauStarTest .
Some associated R codes: Functions.R . RcppExports.R . TauStar.R . Full TauStar package functions and examples
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