{ "_id": "6a104258acfb0bcc41c9db50", "Package": "mevr", "Version": "1.2.3", "Date": "2025-03-27", "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 ", "Encoding": "UTF-8", "Description": "Extreme value analysis with the metastatistical extreme\nvalue distribution MEVD (Marani and Ignaccolo, 2015,\n) and some of its\nvariants. In particular, analysis can be performed with the\nsimplified metastatistical extreme value distribution SMEV\n(Marra et al., 2019, ) and\nthe temporal metastatistical extreme value distribution TMEV\n(Falkensteiner et al., 2023, ).\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", "RoxygenNote": "7.2.3", "Config/testthat/edition": "3", "URL": "https://haraldschellander.github.io/mevr/", "Repository": "https://haraldschellander.r-universe.dev", "Date/Publication": "2025-03-27 08:40:50 UTC", "RemoteUrl": "https://github.com/haraldschellander/mevr", "RemoteRef": "HEAD", "RemoteSha": "97c94567b576a4d36bb25bb52038723806938b0b", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-11 07:22:35 UTC", "User": "root" }, "Author": "Harald Schellander [aut, cre] (ORCID:\n, Package creator and\nmaintainer),\nAlexander Lieb [ctb] (Coded first versions of MEVD and SMEV),\nMarc-Andre Falkensteiner [ctb] (Developed the TMEV)", "MD5sum": "c01d331510c86929dabea20584056998", "_user": "haraldschellander", "_type": "src", "_file": "mevr_1.2.3.tar.gz", "_fileid": 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"dailyrainfall", "file": "dailyrainfall.RData", "class": [ "data.frame" ], "fields": [ "dates", "val" ], "rows": 2688, "table": true, "tojson": true } ], "_help": [ { "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)", "topics": [ "ftmev" ] }, { "page": "ordinary_events", "title": "Identifies ordinary rainfall events by calculating the maximum within rainfall events defined with 'event_separation'", "topics": [ "ordinary_events" ] }, { "page": "plot.mevr", "title": "Plot graphs of MEVD, SMEV or TMEV fit", "topics": [ "plot.mevr" ] }, { "page": "pp.weibull", "title": "Weibull plotting position", "topics": [ "pp.weibull" ] }, { "page": "predict.mevr", "title": "TMEV prediction", "topics": [ "predict.mevr" ] }, { "page": "print.mevr", "title": "Print method for object of class mevr", "topics": [ "print.mevr" ] }, { "page": "return.levels.mev", "title": "Return Levels for the MEVD/SMEV/TMEV extreme value distributions", "topics": [ "return.levels.mev" ] }, { "page": "weibull_tail_test", "title": "Weibull tail test", "topics": [ 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