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.
- Version1.1.1
- R versionunknown
- LicenseGPL-3
- Needs compilation?No
- Last release06/30/2024
Documentation
Team
Harald Schellander
Alexander Lieb
Show author detailsRolesContributorMarc-Andre Falkensteiner
Show author detailsRolesContributor
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- Depends2 packages
- Imports5 packages
- Suggests1 package