{
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  "Package": "mevr",
  "Version": "1.3.4",
  "Date": "2026-10-16",
  "Title": "Fitting the Metastatistical Extreme Value Distribution MEVD",
  "Authors@R": "c(\nperson(\"Harald\", \"Schellander\", email = \"harald.schellander@geosphere.at\", role = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0000-0001-7661-287X\", \"Package creator and maintainer\")\n),\nperson(\"Alexander\", \"Lieb\", role = c(\"ctb\"),\ncomment = \"Coded first versions of MEVD and SMEV\"\n),\nperson(\"Marc-Andre\", \"Falkensteiner\", role = c(\"ctb\"),\ncomment = \"Developed the TMEV\")\n)",
  "Maintainer": "Harald Schellander <harald.schellander@geosphere.at>",
  "Encoding": "UTF-8",
  "Description": "Extreme value analysis with the metastatistical extreme\nvalue distribution MEVD (Marani and Ignaccolo, 2015,\n<doi:10.1016/j.advwatres.2015.03.001>) and some of its\nvariants. In particular, analysis can be performed with the\nsimplified metastatistical extreme value distribution SMEV\n(Marra et al., 2019, <doi:10.1016/j.advwatres.2019.04.002>) and\nthe temporal metastatistical extreme value distribution TMEV\n(Falkensteiner et al., 2023, <doi:10.1016/j.wace.2023.100601>).\nParameters can be estimated with probability weighted moments,\nmaximum likelihood and least squares. The data can also be\nleft-censored prior to a fit. Density, distribution function,\nquantile function and random generation for the MEVD, SMEV and\nTMEV are included. In addition, functions for the calculation\nof return levels including confidence intervals are provided.\nFor a description of use cases please see the provided\nreferences.",
  "License": "GPL-3",
  "Config/testthat/edition": "3",
  "URL": "https://haraldschellander.github.io/mevr/",
  "Config/roxygen2/version": "8.1.1",
  "Repository": "https://haraldschellander.r-universe.dev",
  "Date/Publication": "2026-10-16 05:25:22 UTC",
  "RemoteUrl": "https://github.com/haraldschellander/mevr",
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  "NeedsCompilation": "no",
  "Packaged": {
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    "User": "root"
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  "Author": "Harald Schellander [aut, cre] (ORCID:\n<https://orcid.org/0000-0001-7661-287X>, Package creator and\nmaintainer),\nAlexander Lieb [ctb] (Coded first versions of MEVD and SMEV),\nMarc-Andre Falkensteiner [ctb] (Developed the TMEV)",
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  "_created": "2026-10-16T07:26:38.000Z",
  "_published": "2026-10-16T07:42:53.173Z",
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    "author": "Harald Schellander <harald.schellander@geosphere.at>",
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    "message": "Updated package information\n",
    "time": 1792128322
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      "date": "2026-10-13"
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    "fmev",
    "fsmev",
    "ftmev",
    "ordinary_events",
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    "ptmev",
    "qmev",
    "qtmev",
    "return.levels.mev",
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    "weibull_tail_test"
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      "name": "dailyrainfall",
      "title": "Daily rainfall data",
      "object": "dailyrainfall",
      "file": "dailyrainfall.RData",
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        "data.frame"
      ],
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        "dates",
        "val"
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      "table": true,
      "tojson": true
    }
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      "page": "censored_weibull_fit",
      "title": "Fit Weibull distribution to censored data",
      "topics": [
        "censored_weibull_fit"
      ]
    },
    {
      "page": "dailyrainfall",
      "title": "Daily rainfall data",
      "topics": [
        "dailyrainfall"
      ]
    },
    {
      "page": "dmev",
      "title": "The Metastatistical Extreme Value Distribution",
      "topics": [
        "dmev",
        "pmev",
        "qmev",
        "rmev"
      ]
    },
    {
      "page": "dtmev",
      "title": "The non-stationary Metastatistical Extreme Value Distribution",
      "topics": [
        "dtmev",
        "ptmev",
        "qtmev"
      ]
    },
    {
      "page": "event_separation",
      "title": "Detect Rainfall Events with Specified Separation Time (Dry Time) and Minimum Rain Threshold",
      "topics": [
        "event_separation"
      ]
    },
    {
      "page": "fmev",
      "title": "Fitting the Metastatistical Extreme Value Distribution (MEVD)",
      "topics": [
        "fmev"
      ]
    },
    {
      "page": "fsmev",
      "title": "Fitting the simplified Metastatistical Extreme Value Distribution (SMEV)",
      "topics": [
        "fsmev"
      ]
    },
    {
      "page": "ftmev",
      "title": "Fitting the temporal Metastatistical Extreme Value Distribution (TMEV)",
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        "ftmev"
      ]
    },
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      ]
    },
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        "plot.mevr"
      ]
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        "print.mevr"
      ]
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