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TauStar  

Efficient Computation and Testing of the Bergsma-Dassios Sign Covariance
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", "1.1.4")



Attach the package and use:
library("TauStar")
Maintained by
Luca Weihs
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-10-09
Latest Update: 2019-03-19
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:
Luca Weihs (2015). TauStar: Efficient Computation and Testing of the Bergsma-Dassios Sign Covariance. R package version 1.1.4, https://cran.r-project.org/web/packages/TauStar
Previous versions and publish date:
1.0.0 (2015-10-09 10:28), 1.1.0 (2016-02-17 00:11), 1.1.3 (2017-03-21 07:50), 1.1.4 (2019-03-19 06:53)
Other packages that cited TauStar R package
View TauStar citation profile
Other R packages that TauStar depends, imports, suggests or enhances
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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