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mevr  

Fitting the Metastatistical Extreme Value Distribution MEVD
View on CRAN: Click here


Download and install mevr package within the R console
Install from CRAN:
install.packages("mevr")

Install from Github:
library("remotes")
install_github("cran/mevr")

Install by package version:
library("remotes")
install_version("mevr", "1.1.1")



Attach the package and use:
library("mevr")
Maintained by
Harald Schellander
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-06-15
Latest Update: 2024-06-15
Description:
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. 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.
How to cite:
Harald Schellander (2024). mevr: Fitting the Metastatistical Extreme Value Distribution MEVD. R package version 1.1.1, https://cran.r-project.org/web/packages/mevr. Accessed 21 Nov. 2024.
Previous versions and publish date:
1.0.0 (2024-06-15 10:50)
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