GPD: The generalised Pareto distribution In ReIns: Functions from "Reinsurance: Actuarial and Statistical Aspects"

 GPD R Documentation

The generalised Pareto distribution

Description

Density, distribution function, quantile function and random generation for the Generalised Pareto Distribution (GPD).

Usage

dgpd(x, gamma, mu = 0, sigma, log = FALSE)
pgpd(x, gamma, mu = 0, sigma, lower.tail = TRUE, log.p = FALSE)
qgpd(p, gamma, mu = 0, sigma, lower.tail = TRUE, log.p = FALSE)
rgpd(n, gamma, mu = 0, sigma)


Arguments

 x Vector of quantiles. p Vector of probabilities. n Number of observations. gamma The \gamma parameter of the GPD, a real number. mu The \mu parameter of the GPD, a strictly positive number. Default is 0. sigma The \sigma parameter of the GPD, a strictly positive number. log Logical indicating if the densities are given as \log(f), default is FALSE. lower.tail Logical indicating if the probabilities are of the form P(X\le x) (TRUE) or P(X>x) (FALSE). Default is TRUE. log.p Logical indicating if the probabilities are given as \log(p), default is FALSE.

Details

The Cumulative Distribution Function (CDF) of the GPD for \gamma \neq 0 is equal to F(x) = 1-(1+\gamma (x-\mu)/\sigma)^{-1/\gamma} for all x \ge \mu and F(x)=0 otherwise. When \gamma=0, the CDF is given by F(x) = 1-\exp((x-\mu)/\sigma) for all x \ge \mu and F(x)=0 otherwise.

Value

dgpd gives the density function evaluated in x, pgpd the CDF evaluated in x and qgpd the quantile function evaluated in p. The length of the result is equal to the length of x or p.

rgpd returns a random sample of length n.

Tom Reynkens.

References

Beirlant J., Goegebeur Y., Segers, J. and Teugels, J. (2004). Statistics of Extremes: Theory and Applications, Wiley Series in Probability, Wiley, Chichester.

tGPD, Pareto, EPD, Distributions

Examples

# Plot of the PDF
x <- seq(0, 10, 0.01)
plot(x, dgpd(x, gamma=1/2, sigma=5), xlab="x", ylab="PDF", type="l")

# Plot of the CDF
x <- seq(0, 10, 0.01)
plot(x, pgpd(x, gamma=1/2, sigma=5), xlab="x", ylab="CDF", type="l")


ReIns documentation built on Nov. 3, 2023, 5:08 p.m.