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mevr

R-functions for Fitting the Metastatistical Extreme Value Distribution MEVD.

The MEVD assumes daily rainfall extremes being block maxima over a finite and stochastically variable number of “ordinary events” which are defined as samples from the underlying distribution (Marani & Ignaccolo, 2015, Zorzetto et al., 2016).

The functions in this package can be used to fit the MEVD, its simplified sibling SMEV (Schellander et al., 2019, Marra et al., 2019) and the explicitly non-stationary approach TMEV (Falkensteiner et al., 2023) to data series.

The R-package mevr was written during the development of the TMEV (Falkensteiner et al., 2023). See also this GitHub repository which contains the original code.

Installation

The easiest way to get mevr is to install it from CRAN

install.packages("mevr")

Development version

To install the development version from GitHub

# install.packages("pak")
pak::pak("haraldschellander/mevr")

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Version

Install

install.packages('mevr')

Monthly Downloads

145

Version

1.1.1

License

GPL-3

Maintainer

Harald Schellander

Last Published

June 30th, 2024

Functions in mevr (1.1.1)

pp.weibull

Weibull plotting position
fmev

Fitting the Metastatistical Extreme Value Distribution (MEVD)
predict.mevr

TMEV prediction
ftmev

Fitting the temporal Metastatistical Extreme Value Distribution (TMEV)
dailyrainfall

Daily rainfall data
censored_weibull_fit

Fit Weibull distribution to censored data
fsmev

Fitting the simplified Metastatistical Extreme Value Distribution (SMEV)
dtmev

The non-stationary Metastatistical Extreme Value Distribution
plot.mevr

Plot graphs of MEVD, SMEV or TMEV fit
return.levels.mev

Return Levels for the MEVD/SMEV/TMEV extreme value distributions
weibull_tail_test

Weibull tail test
dmev

The Metastatistical Extreme Value Distribution
print.mevr

Print method for object of class mevr