pgev.d: d-GEV cumulative distribution function

Description Usage Arguments Details Value See Also Examples

View source: R/d-gev.R

Description

Cumulative probability distribution function of duration-dependent GEV distribution

Usage

1
pgev.d(q, mut, sigma0, xi, theta, eta, d, tau = 0, eta2 = NULL, ...)

Arguments

q

vector of quantiles

mut, sigma0, xi

numeric value, giving modified location, modified scale and shape parameter

theta

numeric value, giving duration offset (defining curvature of the IDF curve)

eta

numeric value, giving duration exponent (defining slope of the IDF curve)

d

positive numeric value, giving duration

tau

numeric value, giving intensity offset τ (defining flattening of the IDF curve). Default: τ=0.

eta2

numeric value, giving a second duration exponent η_2 (needed for multiscaling). Default: NULL, treated as η_2=η.

...

additional parameters passed to pgev

Details

The duration dependent GEV distribution is defined after [Koutsoyiannis et al., 1998]:

G(x)= \exp[-≤ft( 1+ξ(x/σ(d)-μ_t) \right)^{-1/ξ}]

with the duration dependent scale σ(d)=σ_0/(d+θ)^η and modified location parameter μ_t=μ/σ(d).

For details on the d-GEV and the parameter definitions, see IDF-package.

Value

list containing vectors of probability values for given quantiles. The first element of the list are the probability values for the first given duration etc.

See Also

dgev.d, qgev.d, rgev.d

Examples

1
2
x <- seq(4,20,0.1)
prob <- pgev.d(q=x,mut=4,sigma0=2,xi=0,theta=0.1,eta=0.1,d=1)

IDF documentation built on April 9, 2021, 5:07 p.m.