pDisHoeffInd {TauStar} | R Documentation |
Null asymptotic distribution of t* in the discrete case
Description
Density, distribution function, quantile function and random generation for the asymptotic null distribution of t* in the discrete case. That is, in the case that t* is generated from a sample of jointly discrete independent random variables X and Y.
Usage
pDisHoeffInd(x, probs1, probs2, lower.tail = TRUE, error = 10^-5)
dDisHoeffInd(x, probs1, probs2, error = 10^-3)
rDisHoeffInd(n, probs1, probs2)
qDisHoeffInd(p, probs1, probs2, error = 10^-4)
Arguments
x |
the value (or vector of values) at which to evaluate the function. |
probs1 |
a vector of probabilities corresponding to the (ordered)
support of X. That is if your first random variable has support
|
probs2 |
just as probs1 but for the second random variable Y. |
lower.tail |
a logical value, if TRUE (default), probabilities are
|
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
dDisHoeffInd gives the density, pDisHoeffInd gives the distribution function, qDisHoeffInd gives the quantile function, and rDisHoeffInd generates random samples.