Description Usage Arguments Value
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.
1 2 3 4 5 6 7 |
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. |
dHoeffInd gives the density, pHoeffInd gives the distribution function, qHoeffInd gives the quantile function, and rHoeffInd generates random samples.
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