{
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  "Package": "ExtremalDep",
  "Version": "1.0.0",
  "Date": "2025-08-15",
  "Title": "Extremal Dependence Models",
  "Authors@R": "c(person(\"Boris\",\"Beranger\", role = \"aut\", email=\"borisberanger@gmail.com\"),\nperson(\"Simone\",\"Padoan\", role = c(\"cre\",\"aut\"), email=\"simone.padoan@unibocconi.it\"),\nperson(\"Giulia\", \"Marcon\", role = \"aut\", email=\"giuliamarcongm@gmail.com\"),\nperson(\"Steven G.\", \"Johnson\", role = \"ctb\", comment = \"Author of included cubature fragments\"),\nperson(\"Rudolf Schuerer\", role = \"ctb\", comment = \"Author of included cubature fragments\"),\nperson(\"Brian Gough\", role = \"ctb\", comment = \"Author of included cubature fragments\"),\nperson(\"Alec G.\", \"Stephenson\", role = \"ctb\"),\nperson(\"Anne\", \"Sabourin\", role = \"ctb\", comment = \"Author of included BMAmevt fragments\"),\nperson(\"Philippe\", \"Naveau\", role = \"ctb\", comment = \"Author of PAMfmado function\"))",
  "Author": "Boris Beranger [aut], Simone Padoan [cre, aut], Giulia Marcon\n[aut], Steven G. Johnson [ctb] (Author of included cubature\nfragments), Rudolf Schuerer [ctb] (Author of included cubature\nfragments), Brian Gough [ctb] (Author of included cubature\nfragments), Alec G. Stephenson [ctb], Anne Sabourin [ctb]\n(Author of included BMAmevt fragments), Philippe Naveau [ctb]\n(Author of PAMfmado function)",
  "Maintainer": "Simone Padoan <simone.padoan@unibocconi.it>",
  "BugReports": "https://github.com/borisberanger/ExtremalDep/issues",
  "Description": "A set of procedures for parametric and non-parametric\nmodelling of the dependence structure of multivariate\nextreme-values is provided. The statistical inference is\nperformed with non-parametric estimators, likelihood-based\nestimators and Bayesian techniques. It adapts the methodologies\nof Beranger and Padoan (2015) <doi:10.48550/arXiv.1508.05561>,\nMarcon et al. (2016) <doi:10.1214/16-EJS1162>, Marcon et al.\n(2017) <doi:10.1002/sta4.145>, Marcon et al. (2017)\n<doi:10.1016/j.jspi.2016.10.004> and Beranger et al. (2021)\n<doi:10.1007/s10687-019-00364-0>. This package also allows for\nthe modelling of spatial extremes using flexible max-stable\nprocesses. It provides simulation algorithms and fitting\nprocedures relying on the Stephenson-Tawn likelihood as per\nBeranger at al. (2021) <doi:10.1007/s10687-020-00376-1>.",
  "License": "GPL (>= 2)",
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  "Repository/R-Forge/Project": "extremaldep",
  "Repository/R-Forge/Revision": "107",
  "Repository/R-Forge/DateTimeStamp": "2019-08-12 22:22:37",
  "Packaged": {
    "Date": "2026-06-18 10:29:44 UTC",
    "User": "root"
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  "URL": "https://faculty.unibocconi.it/simonepadoan/",
  "Repository": "https://cran.r-universe.dev",
  "Date/Publication": "2025-08-21 11:40:02 UTC",
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  "_created": "2026-06-18T10:29:44.000Z",
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    "beed.confband",
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    "dExtDep",
    "dGEV",
    "diagnostics",
    "dim_ExtDep",
    "dmesn",
    "dmest",
    "ellipse",
    "est",
    "ExtQ",
    "fExtDep",
    "fExtDep.np",
    "fExtDepSpat",
    "fGEV",
    "index.ExtDep",
    "lambda.HR",
    "madogram",
    "method",
    "model",
    "PAMfmado",
    "pesn",
    "pest",
    "pExtDep",
    "pFailure",
    "pGEV",
    "pickands.plot",
    "pmesn",
    "pmest",
    "qGEV",
    "returns",
    "returns.plot",
    "rExtDep",
    "rExtDepSpat",
    "simplex",
    "StdErr",
    "tic",
    "trans2GEV",
    "trans2UFrechet"
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      "page": "angular",
      "title": "Estimation of the angular density, angular measure, and random generation from the angular distribution",
      "topics": [
        "angular"
      ]
    },
    {
      "page": "angular.plot",
      "title": "Angular density plot.",
      "topics": [
        "angular.plot"
      ]
    },
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      "title": "Bernstein Polynomials Based Estimation of Extremal Dependence",
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    {
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      "title": "Bootstrap Resampling and Bernstein Estimation of Extremal Dependence",
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      "title": "Nonparametric Bootstrap Confidence Intervals",
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      "title": "Extract the Bayesian Information Criterion",
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      "topics": [
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        "pesn"
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        "pest"
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      "page": "dExtDep",
      "title": "Parametric and non-parametric density of Extremal Dependence",
      "topics": [
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      "title": "The Generalized Extreme Value Distribution",
      "topics": [
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        "pGEV",
        "qGEV"
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    {
      "page": "diagnostics",
      "title": "Diagnostics plots for MCMC algorithm",
      "topics": [
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    {
      "page": "dim_ExtDep",
      "title": "Dimensions calculations for parametric extremal dependence models",
      "topics": [
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    },
    {
      "page": "dmesn",
      "title": "Bivariate and Trivariate Extended Skew-Normal Distribution",
      "topics": [
        "dmesn",
        "pmesn"
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    {
      "page": "dmest",
      "title": "Bivariate and trivariate extended skew-t distribution",
      "topics": [
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        "pmest"
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      "page": "ellipse",
      "title": "Level sets for bivariate normal, student-t and skew-normal distributions probability densities.",
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      "topics": [
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      "page": "ExtQ",
      "title": "Univariate Extreme Quantile",
      "topics": [
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      "page": "fExtDep",
      "title": "Extremal Dependence Estimation",
      "topics": [
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        "logLik.ExtDep_Freq",
        "plot.ExtDep_Bayes",
        "plot.ExtDep_Freq",
        "summary.ExtDep_Bayes"
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      "title": "Non-parametric extremal dependence estimation",
      "topics": [
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        "plot.ExtDep_npBayes",
        "plot.ExtDep_npEmp",
        "plot.ExtDep_npFreq",
        "summary.ExtDep_npBayes"
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    {
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      "page": "logReturns",
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