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
and4
- delta
additional parameter for
type
2
,3
and4
- 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))