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
| Version | Repository | File | Size |
|---|---|---|---|
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 |