Efficient Computation and Testing of the Bergsma-Dassios Sign Covariance

Documentation for package ‘TauStar’ version 1.1.4

TauStar-package	Efficient Computation and Testing of the t* Statistic of Bergsma and Dassios
binaryQuantileSearch	Quantiles of a distribution.
dDisHoeffInd	Null asymptotic distribution of t* in the discrete case
dHoeffInd	Null asymptotic distribution of t* in the continuous case
dMixHoeffInd	Null asymptotic distribution of t* in the mixed case
eigenForDiscreteProbs	Eigenvalues for discrete asymptotic distribution
isDiscrete	Determine if input data is discrete
isProb	Check if a Valid Probability
isProbVector	Check if Vector of Probabilities
isValidDataVector	Is Vector Valid Data?
pDisHoeffInd	Null asymptotic distribution of t* in the discrete case
pHoeffInd	Null asymptotic distribution of t* in the continuous case
pMixHoeffInd	Null asymptotic distribution of t* in the mixed case
print.tstest	Print Tau* Test Results
qDisHoeffInd	Null asymptotic distribution of t* in the discrete case
qHoeffInd	Null asymptotic distribution of t* in the continuous case
qMixHoeffInd	Null asymptotic distribution of t* in the mixed case
rDisHoeffInd	Null asymptotic distribution of t* in the discrete case
rHoeffInd	Null asymptotic distribution of t* in the continuous case
rMixHoeffInd	Null asymptotic distribution of t* in the mixed case
TauStar	Efficient Computation and Testing of the t* Statistic of Bergsma and Dassios
tauStarTest	Test of Independence Using the Tau* Measure
tStar	Computing t*