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 [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 geosphere.at>
License:	GPL-3
NeedsCompilation:	no
Materials:	README NEWS
CRAN checks:	mevr results

Documentation:

Reference manual:

mevr.pdf

Downloads:

Package source:	mevr_1.1.1.tar.gz
Windows binaries:	r-devel: mevr_1.1.1.zip, r-release: mevr_1.1.1.zip, r-oldrel: mevr_1.1.1.zip
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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=mevr to link to this page.