pMixHoeffInd {TauStar} | R Documentation |
Null asymptotic distribution of t* in the mixed case
Description
Density, distribution function, quantile function and random generation for the asymptotic null distribution of t* in the mixed case. That is, in the case that t* is generated a sample from an independent bivariate distribution where one coordinate is marginally discrete and the other marginally continuous.
Usage
pMixHoeffInd(x, probs, lower.tail = TRUE, error = 10^-6)
dMixHoeffInd(x, probs, error = 10^-3)
rMixHoeffInd(n, probs, error = 10^-8)
qMixHoeffInd(p, probs, error = 10^-4)
Arguments
x |
the value (or vector of values) at which to evaluate the function. |
probs |
a vector of probabilities corresponding to the (ordered)
support the marginally discrete random variable. That is, if the
marginally discrete distribution has support |
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
dMixHoeffInd gives the density, pMixHoeffInd gives the distribution function, qMixHoeffInd gives the quantile function, and rMixHoeffInd generates random samples.