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Density, distribution function, quantile function and random number generation for the carrier distributions of the extended Generalized Pareto distributions.

Arguments

u

vector of observations (dextgp.G), probabilities (qextgp.G) or quantiles (pextgp.G), in \([0,1]\)

prob

mixture probability for model type 4

kappa

shape parameter for type 1, 3 and 4

delta

additional parameter for type 2, 3 and 4

type

integer between 0 to 5 giving the model choice

log

logical; should the log-density be returned (default to FALSE)?

n

sample size

unifsamp

sample of uniform; if provided, the data will be used in place of new uniform random variates

censoring

numeric vector of length 2 containing the lower and upper bound for censoring

direct

logical; which method to use for sampling in model of type 4?

Usage

pextgp.G(u, type=1, prob, kappa, delta)

dextgp.G(u, type=1, prob=NA, kappa=NA, delta=NA, log=FALSE)

qextgp.G(u, type=1, prob=NA, kappa=NA, delta=NA)

rextgp.G(n, prob=NA, kappa=NA, delta=NA, type=1, unifsamp=NULL, direct=FALSE, censoring=c(0,1))

See also

Author

Raphael Huser and Philippe Naveau