Package: mevr
Version: 1.1.1
Date: 2024-06-24
Title: Fitting the Metastatistical Extreme Value Distribution MEVD
Authors@R: c(
    person("Harald", "Schellander", email = "harald.schellander@geosphere.at", role = c("aut", "cre"),
      comment = c(ORCID = "0000-0001-7661-287X", "Package creator and maintainer")
    ),
		person("Alexander", "Lieb", role = c("ctb"),
		  comment = "Coded first versions of MEVD and SMEV"
		),
		person("Marc-Andre", "Falkensteiner", role = c("ctb"),
		  comment = "Developed the TMEV")
		)
Maintainer: Harald Schellander <harald.schellander@geosphere.at>
Depends: R (>= 4.1), dplyr, rlang
Encoding: UTF-8
Imports: graphics, stats, EnvStats, parallel, foreach, doParallel,
        bamlss, mgcv
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. 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.
License: GPL-3
RoxygenNote: 7.2.3
Suggests: testthat (>= 3.0.0)
Config/testthat/edition: 3
NeedsCompilation: no
Packaged: 2024-06-30 06:09:28 UTC; hschellander
Author: Harald Schellander [aut, cre] (<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)
Repository: CRAN
Date/Publication: 2024-06-30 06:30:02 UTC
Built: R 4.6.0; ; 2026-04-26 13:58:28 UTC; unix
