R: Efficient Computation and Testing of the Bergsma-Dassios Sign Covariance

# Efficient Computation and Testing of the Bergsma-Dassios Sign Covariance

## Documentation for package ‘TauStar’ version 1.1.9

- DESCRIPTION file
- Package NEWS
- Package README

## Help Pages

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 | Heuristic check for discrete numeric data
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*