{
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  "Package": "evmr",
  "Type": "Package",
  "Title": "Extreme Value Modeling for r-Largest Order Statistics",
  "Version": "0.1.0",
  "Authors@R": "c(\nperson(given = \"Yire\",\nfamily = \"Shin\",\nrole = c(\"aut\", \"cre\"),\nemail = \"shinyire87@gmail.com\",\ncomment = c(ORCID = \"0000-0003-1297-5430\")),\nperson(given = \"Jeong-Soo\",\nfamily = \"Park\",\nrole = c(\"aut\", \"ths\"),\nemail = \"jspark@chonnam.ac.kr\",\ncomment = c(ORCID = \"0000-0002-8460-4869\")))",
  "Description": "Tools for extreme value modeling based on the r-largest\norder statistics framework. The package provides functions for\nparameter estimation via maximum likelihood, return level\nestimation with standard errors, profile likelihood-based\nconfidence intervals, random sample generation, and entropy\ndifference tests for selecting the number of order statistics\nr. Several r-largest order statistics models are implemented,\nincluding the four-parameter kappa (rK4D), generalized logistic\n(rGLO), generalized Gumbel (rGGD), logistic (rLD), and Gumbel\n(rGD) distributions. The rK4D methodology is described in Shin\net al. (2022) <doi:10.1016/j.wace.2022.100533>, the rGLO model\nin Shin and Park (2024) <doi:10.1007/s00477-023-02642-7>, and\nthe rGGD model in Shin and Park (2025)\n<doi:10.1038/s41598-024-83273-y>. The underlying distributions\nare related to the kappa distribution of Hosking (1994)\n<doi:10.1017/CBO9780511529443>, the generalized logistic\ndistribution discussed by Ahmad et al. (1988)\n<doi:10.1016/0022-1694(88)90015-7>, and the generalized Gumbel\ndistribution of Jeong et al. (2014)\n<doi:10.1007/s00477-014-0865-8>. Penalized likelihood\napproaches for extreme value estimation follow Martins and\nStedinger (2000) <doi:10.1029/1999WR900330> and Coles and Dixon\n(1999) <doi:10.1023/A:1009905222644>. Selection of r is\nsupported using methods discussed in Bader et al. (2017)\n<doi:10.1007/s11222-016-9697-3>. The package is intended for\nhydrological, climatological, and environmental extreme value\nanalysis.",
  "License": "GPL-3",
  "Encoding": "UTF-8",
  "Roxygen": "list(markdown = TRUE)",
  "RoxygenNote": "7.3.3",
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  "URL": "https://github.com/yire-shin/evmr",
  "BugReports": "https://github.com/yire-shin/evmr/issues",
  "Repository": "https://yire-shin.r-universe.dev",
  "Date/Publication": "2026-03-13 13:56:05 UTC",
  "RemoteUrl": "https://github.com/yire-shin/evmr",
  "RemoteRef": "HEAD",
  "RemoteSha": "06f64c515f7cb20e8d0e72ec849486d23ac54bc6",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-05-29 10:42:15 UTC",
    "User": "root"
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  "Author": "Yire Shin [aut, cre] (ORCID: <https://orcid.org/0000-0003-1297-5430>),\nJeong-Soo Park [aut, ths] (ORCID:\n<https://orcid.org/0000-0002-8460-4869>)",
  "Maintainer": "Yire Shin <shinyire87@gmail.com>",
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  "_user": "yire-shin",
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  "_created": "2026-05-29T10:42:15.000Z",
  "_published": "2026-05-29T11:51:14.611Z",
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    "rglo.summary",
    "rgloEd",
    "rgloEdtest",
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    "rglor",
    "rk4d.fit",
    "rk4d.prof",
    "rk4d.rl",
    "rk4d.summary",
    "rk4dEd",
    "rk4dEdtest",
    "rk4dLh",
    "rk4dr",
    "rld.fit",
    "rld.prof",
    "rld.rl",
    "rld.summary",
    "rldr"
  ],
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      "title": "Bangkok Rainfall Data",
      "object": "bangkok",
      "class": [
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      "fields": [
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        "X2",
        "X3",
        "X4",
        "X5"
      ],
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      "table": true,
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      "title": "Bevern Stream Flow Data",
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      ],
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        "r1",
        "r2",
        "r3"
      ],
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      "table": true,
      "tojson": true
    },
    {
      "name": "oykel",
      "title": "Oykel River Stream Flow Data",
      "object": "oykel",
      "class": [
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      ],
      "fields": [
        "Year",
        "r1",
        "r2",
        "r3"
      ],
      "rows": 42,
      "table": true,
      "tojson": true
    }
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  "_help": [
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      "page": "bangkok",
      "title": "Bangkok Rainfall Data",
      "topics": [
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      ]
    },
    {
      "page": "bevern",
      "title": "Bevern Stream Flow Data",
      "topics": [
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      ]
    },
    {
      "page": "evmr",
      "title": "Fit and Compare r-Largest Order Statistics Models",
      "topics": [
        "evmr"
      ]
    },
    {
      "page": "oykel",
      "title": "Oykel River Stream Flow Data",
      "topics": [
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      ]
    },
    {
      "page": "qgd",
      "title": "Quantile Function of the Gumbel Distribution",
      "topics": [
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      ]
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    {
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      "title": "Quantile Function of the Generalized Gumbel Distribution",
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      "title": "Quantile Function of the Generalized Logistic Distribution",
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      "title": "Quantile Function of the Four-Parameter Kappa Distribution",
      "topics": [
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      "title": "Quantile Function of the Logistic Distribution",
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      "title": "Fit the Gumbel Distribution to r-Largest Order Statistics",
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}