# pHoeffInd: Null asymptotic distribution of t* in the continuous case In TauStar: Efficient Computation and Testing of the Bergsma-Dassios Sign Covariance

## Description

Density, distribution function, quantile function and random generation for the asymptotic null distribution of t* in the continuous case. That is, in the case that t* is generated from a sample of jointly continuous independent random variables.

## Usage

 ```1 2 3 4 5 6 7``` ```pHoeffInd(x, lower.tail = T, error = 10^-5) rHoeffInd(n) dHoeffInd(x, error = 1/2 * 10^-3) qHoeffInd(p, error = 10^-4) ```

## Arguments

 `x` the value (or vector of values) at which to evaluate the function. `lower.tail` a logical value, if TRUE (default), probabilities are P(X≤q x) otherwise P(X>x). `error` a tolerated error in the result. This should be considered as a guide rather than an exact upper bound to the amount of error. `n` the number of observations to return. `p` the probability (or vector of probabilities) for which to get the quantile.

## Value

dHoeffInd gives the density, pHoeffInd gives the distribution function, qHoeffInd gives the quantile function, and rHoeffInd generates random samples.

TauStar documentation built on May 1, 2019, 9:59 p.m.