mevr: Fitting the Metastatistical Extreme Value Distribution MEVD

Extreme value analysis with the metastatistical extreme value distribution MEVD (Marani and Ignaccolo, 2015, <doi:10.1016/j.advwatres.2015.03.001>) and some of its variants. In particular, analysis can be performed with the simplified metastatistical extreme value distribution SMEV (Marra et al., 2019, <doi:10.1016/j.advwatres.2019.04.002>) and the temporal metastatistical extreme value distribution TMEV (Falkensteiner et al., 2023, <doi:10.1016/j.wace.2023.100601>). Parameters can be estimated with probability weighted moments, maximum likelihood and least squares. The data can also be left-censored prior to a fit. Density, distribution function, quantile function and random generation for the MEVD, SMEV and TMEV are included. In addition, functions for the calculation of return levels including confidence intervals are provided. For a description of use cases please see the provided references.

Version: 1.1.1
Depends: R (≥ 4.1), dplyr, rlang
Imports: graphics, stats, EnvStats, parallel, foreach, doParallel, bamlss, mgcv
Suggests: testthat (≥ 3.0.0)
Published: 2024-06-30
DOI: 10.32614/CRAN.package.mevr
Author: Harald Schellander ORCID iD [aut, cre] (Package creator and maintainer), Alexander Lieb [ctb] (Coded first versions of MEVD and SMEV), Marc-Andre Falkensteiner [ctb] (Developed the TMEV)
Maintainer: Harald Schellander <harald.schellander at>
License: GPL-3
NeedsCompilation: no
Materials: README NEWS
CRAN checks: mevr results


Reference manual: mevr.pdf


Package source: mevr_1.1.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): mevr_1.1.1.tgz, r-oldrel (arm64): mevr_1.1.1.tgz, r-release (x86_64): mevr_1.1.1.tgz, r-oldrel (x86_64): mevr_1.1.1.tgz
Old sources: mevr archive


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