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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.

Versions across snapshots

VersionRepositoryFileSize
1.1.1 rolling linux/jammy R-4.5 mevr_1.1.1.tar.gz 123.6 KiB
1.1.1 rolling linux/noble R-4.5 mevr_1.1.1.tar.gz 123.8 KiB
1.1.1 rolling source/ R- mevr_1.1.1.tar.gz 44.9 KiB
1.1.1 latest linux/jammy R-4.5 mevr_1.1.1.tar.gz 123.6 KiB
1.1.1 latest linux/noble R-4.5 mevr_1.1.1.tar.gz 123.8 KiB
1.1.1 latest source/ R- mevr_1.1.1.tar.gz 44.9 KiB
1.1.1 2026-04-26 source/ R- mevr_1.1.1.tar.gz 44.9 KiB
1.1.1 2026-04-23 source/ R- mevr_1.1.1.tar.gz 44.9 KiB
1.1.1 2026-04-09 windows/windows R-4.5 mevr_1.1.1.zip 126.3 KiB
1.1.1 2025-04-20 source/ R- mevr_1.1.1.tar.gz 44.9 KiB

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