{
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  "Package": "evir",
  "Version": "1.7-4",
  "Date": "2016-09-23",
  "Title": "Extreme Values in R",
  "Authors@R": "c(person(\"Bernhard\", \"Pfaff\", email =\n\"bernhard@pfaffikus.de\", role = c(\"aut\", \"cre\")),\nperson(\"Alexander\", \"McNeil\", email = \"mcneil@math.ethz.ch\",\nrole = \"aut\", comment = \"S original (EVIS)\"), person(\"Alec\",\n\"Stephenson\", email = \"alec_stephenson@hotmail.com\", role =\n\"trl\", comment = \"R port of EVIS\"))",
  "Description": "Functions for extreme value theory, which may be divided\ninto the following groups; exploratory data analysis, block\nmaxima, peaks over thresholds (univariate and bivariate), point\nprocesses, gev/gpd distributions.",
  "License": "GPL (>= 2)",
  "Maintainer": "Bernhard Pfaff <bernhard@pfaffikus.de>",
  "Repository": "https://bpfaff.r-universe.dev",
  "Date/Publication": "2016-09-24 22:24:11 UTC",
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    "User": "root"
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    "gpd.q",
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    "plot.gpd",
    "plot.gpdbiv",
    "plot.potd",
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    "qgev",
    "qgpd",
    "qplot",
    "quant",
    "records",
    "rgev",
    "rgpd",
    "riskmeasures",
    "rlevel.gev",
    "shape",
    "tailplot"
  ],
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      "name": "bmw",
      "title": "Daily Log Returns on BMW Share Price",
      "object": "bmw",
      "file": "bmw.rda",
      "class": [
        "numeric"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    },
    {
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      "title": "Danish Fire Insurance Claims",
      "object": "danish",
      "file": "danish.rda",
      "class": [
        "numeric"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    },
    {
      "name": "nidd.annual",
      "title": "The River Nidd Data",
      "object": "nidd.annual",
      "file": "nidd.annual.rda",
      "class": [
        "numeric"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    },
    {
      "name": "nidd.thresh",
      "title": "The River Nidd Data",
      "object": "nidd.thresh",
      "file": "nidd.thresh.rda",
      "class": [
        "numeric"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    },
    {
      "name": "siemens",
      "title": "Daily Log Returns on Siemens Share Price",
      "object": "siemens",
      "file": "siemens.rda",
      "class": [
        "numeric"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    },
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      "title": "SP Data to June 1993",
      "object": "sp.raw",
      "file": "sp.raw.rda",
      "class": [
        "numeric"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    },
    {
      "name": "spto87",
      "title": "SP Return Data to October 1987",
      "object": "spto87",
      "file": "spto87.rda",
      "class": [
        "numeric"
      ],
      "fields": [],
      "table": false,
      "tojson": true
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    {
      "page": "bmw",
      "title": "Daily Log Returns on BMW Share Price",
      "topics": [
        "bmw"
      ]
    },
    {
      "page": "danish",
      "title": "Danish Fire Insurance Claims",
      "topics": [
        "danish"
      ]
    },
    {
      "page": "decluster",
      "title": "Decluster Point Process",
      "topics": [
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      ]
    },
    {
      "page": "dgev",
      "title": "Generalized Extreme Value Distribution",
      "topics": [
        "dgev",
        "pgev",
        "qgev",
        "rgev"
      ]
    },
    {
      "page": "dgpd",
      "title": "Generalized Pareto Distribution",
      "topics": [
        "dgpd",
        "pgpd",
        "qgpd",
        "rgpd"
      ]
    },
    {
      "page": "emplot",
      "title": "Plot of Empirical Distribution Function",
      "topics": [
        "emplot"
      ]
    },
    {
      "page": "exindex",
      "title": "Estimate Extremal Index",
      "topics": [
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      ]
    },
    {
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      "title": "Find Threshold",
      "topics": [
        "findthresh"
      ]
    },
    {
      "page": "gev",
      "title": "Fit Generalized Extreme Value Distribution",
      "topics": [
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      ]
    },
    {
      "page": "gpd",
      "title": "Fit Generalized Pareto Model",
      "topics": [
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      ]
    },
    {
      "page": "gpd.q",
      "title": "Add Quantile Estimates to plot.gpd",
      "topics": [
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      ]
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      "title": "Add Expected Shortfall Estimates to a GPD Plot",
      "topics": [
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      "topics": [
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      ]
    },
    {
      "page": "gumbel",
      "title": "Fit Gumbel Distribution",
      "topics": [
        "gumbel"
      ]
    },
    {
      "page": "hill",
      "title": "Create Hill Plot",
      "topics": [
        "hill"
      ]
    },
    {
      "page": "interpret.gpdbiv",
      "title": "Interpret Results of Bivariate GPD Fit",
      "topics": [
        "interpret.gpdbiv"
      ]
    },
    {
      "page": "meplot",
      "title": "Sample Mean Excess Plot",
      "topics": [
        "meplot"
      ]
    },
    {
      "page": "nidd.annual",
      "title": "The River Nidd Data",
      "topics": [
        "nidd.annual"
      ]
    },
    {
      "page": "nidd.thresh",
      "title": "The River Nidd Data",
      "topics": [
        "nidd.thresh"
      ]
    },
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      "title": "Plot Fitted GEV Model",
      "topics": [
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      ]
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      "title": "Plot Fitted GPD Model",
      "topics": [
        "plot.gpd"
      ]
    },
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      "page": "plot.gpdbiv",
      "title": "Plot Fitted Bivariate GPD Model",
      "topics": [
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      ]
    },
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      "title": "Plot Fitted POT Model",
      "topics": [
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      "title": "Peaks Over Thresholds Model",
      "topics": [
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      "topics": [
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      "title": "Calculate Record Development",
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      "title": "Calculate Return Levels Based on GEV Fit",
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      "title": "Plot for GPD Shape Parameter",
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      "title": "Daily Log Returns on Siemens Share Price",
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