Fitting the Metastatistical Extreme Value Distribution MEVD R package mevr version 1.1.1 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. Software Depends: R (>= 4.1), dplyr, rlang Imports: graphics, stats, EnvStats, parallel, foreach, doParallel, bamlss, mgcv Suggests: testthat (>= 3.0.0) Harald Schellander <harald.schellander@geosphere.at> Comprehensive R Archive Network (CRAN) Harald Schellander [aut, cre] (ORCID: <https://orcid.org/0000-0001-7661-287X>, Package creator and maintainer), Alexander Lieb [ctb] (Coded first versions of MEVD and SMEV), Marc-Andre Falkensteiner [ctb] (Developed the TMEV) GPL-3 2024-06-30 application/tgz https://CRAN.R-project.org/package=mevr doi:10.32614/CRAN.package.mevr