dtmev: The non-stationary Metastatistical Extreme Value Distribution

In mevr: Fitting the Metastatistical Extreme Value Distribution MEVD

The non-stationary Metastatistical Extreme Value Distribution

Description

Quantile function for the TMEV distribution with a Weibull parent distribution.

Usage

dtmev(x, data)

ptmev(q, data)

qtmev(p, data)

Arguments

x, q	Numeric vector or single value of probabilities for dtmev.
data	A data frame with at least columns c, w and year. Can be taken from the output of the fitted TMEV object, i.e. x$data (see ftmev).
p	Numeric vector or single value of probabilities for qtmev.

Value

dtmev gives the density function, ptmev gives the distribution function, and qtmev gives the quantile function of the TMEV.

Functions

• ptmev(): distribution quantile function

• qtmev(): distribution quantile function

Examples

data(dailyrainfall)
fit <- ftmev(dailyrainfall)
rp <- pp.weibull(fit$maxima)
rl <- qtmev(1 - 1 / rp, fit$data)
plot(rp,
     sort(fit$maxima),
     main = "TMEV",
     ylab = "return level",
     xlab = "return period (years)")
lines(rp, rl, type = "l")

mevr documentation built on Oct. 13, 2026, 5:07 p.m.