{
  "_id": "6a12e196acfb0bcc41d23bd0",
  "Package": "gld",
  "Version": "2.6.9",
  "Date": "2025-11-25",
  "Title": "Estimation and Use of the Generalised (Tukey) Lambda\nDistribution",
  "Authors@R": "c(person(given=\"Robert\",family=\"King\",\nrole=c(\"aut\",\"cre\"),\nemail=\"Robert.King.Newcastle@gmail.com\",\ncomment=c(ORCID=\"0000-0001-7495-6599\")),\nperson(given=\"Benjamin\",family=\"Dean\",\nrole=\"aut\",\nemail=\"Benjamin.Dean@uon.edu.au\"),\nperson(given=\"Sigbert\",family=\"Klinke\",\nrole=\"aut\"),\nperson(given=\"Paul\",family=\"van Staden\",\nrole=\"aut\",email=\"paul.vanstaden@up.ac.za\",\ncomment=c(ORCID=\"0000-0002-5710-5984\"))\n)",
  "Description": "The generalised lambda distribution, or Tukey lambda\ndistribution, provides a wide variety of shapes with one\nfunctional form. This package provides random numbers,\nquantiles, probabilities, densities and density quantiles for\nfour different types of the distribution, the FKML (Freimer et\nal 1988), RS (Ramberg and Schmeiser 1974), GPD (van Staden and\nLoots 2009) and FM5 - see documentation for details. It\nprovides the density function, distribution function, and\nQuantile-Quantile plots. It implements a variety of estimation\nmethods for the distribution, including diagnostic plots.\nEstimation methods include the starship (all 4 types), method\nof L-Moments for the GPD and FKML types, and a number of\nmethods for only the FKML type. These include maximum\nlikelihood, maximum product of spacings, Titterington's method,\nMoments, Trimmed L-Moments and Distributional Least Absolutes.",
  "License": "GPL (>= 2)",
  "URL": "https://github.com/newystats/gld/",
  "Repository": "https://newystats.r-universe.dev",
  "Date/Publication": "2026-05-24 11:15:43 UTC",
  "RemoteUrl": "https://github.com/newystats/gld",
  "RemoteRef": "HEAD",
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    "User": "root"
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  "Author": "Robert King [aut, cre] (ORCID: <https://orcid.org/0000-0001-7495-6599>),\nBenjamin Dean [aut],\nSigbert Klinke [aut],\nPaul van Staden [aut] (ORCID: <https://orcid.org/0000-0002-5710-5984>)",
  "Maintainer": "Robert King <Robert.King.Newcastle@gmail.com>",
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  "_created": "2026-05-24T11:27:12.000Z",
  "_published": "2026-05-24T11:31:34.278Z",
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    "email": "robert.king.newcastle@gmail.com",
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    "description": "Statistician, Data Scientist.\nMy main repositories here are related to the generalised lambda distribution",
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      "date": "2016-04-20"
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      "date": "2016-09-18"
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      "date": "2016-12-05"
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      "version": "2.6",
      "date": "2019-09-02"
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      "date": "2019-12-17"
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  "_exports": [
    "BetaLambdaLambda",
    "dgl",
    "dqgl",
    "fit.fkml",
    "fit.fkml.moments",
    "fit.fkml.moments.val",
    "fit.gpd",
    "fit.gpd.lmom",
    "fit.gpd.lmom.given",
    "gl.check.lambda",
    "gld.lmoments",
    "gld.moments",
    "pgl",
    "plot.starship",
    "plotglc",
    "plotgld",
    "print.starship",
    "qdgl",
    "qgl",
    "qqgl",
    "rgl",
    "starship",
    "starship.adaptivegrid",
    "starship.obj",
    "summary.starship"
  ],
  "_help": [
    {
      "page": "BetaLambdaLambda",
      "title": "Calculates Beta function for two identical parameters, allowing non-integer negative values",
      "topics": [
        "BetaLambdaLambda"
      ]
    },
    {
      "page": "fit.fkml",
      "title": "Estimate parameters of the FKML parameterisation of the generalised lambda distribution",
      "topics": [
        "fit.fkml"
      ]
    },
    {
      "page": "fit.fkml.moments",
      "title": "Method of moments estimation for the FKML type of the generalised lambda distribution",
      "topics": [
        "fit.fkml.moments",
        "fit.fkml.moments.val"
      ]
    },
    {
      "page": "fit.gpd",
      "title": "Estimate parameters of the GPD type generalised lambda distribution",
      "topics": [
        "fit.gpd",
        "fit.gpd.lmom",
        "fit.gpd.lmom.given"
      ]
    },
    {
      "page": "GeneralisedLambdaDistribution",
      "title": "The Generalised Lambda Distribution",
      "topics": [
        "dgl",
        "dqgl",
        "GeneralisedLambdaDistribution",
        "GeneralizedLambdaDistribution",
        "gld",
        "pgl",
        "qgl",
        "rgl"
      ]
    },
    {
      "page": "gl.check.lambda",
      "title": "Function to check the validity of parameters of the generalized lambda distribution",
      "topics": [
        "gl.check.lambda"
      ]
    },
    {
      "page": "gld-Deprecated",
      "title": "Deprecated functions",
      "topics": [
        "gld-Deprecated"
      ]
    },
    {
      "page": "gld.lmoments",
      "title": "Calculate L-Moments of the GPD type generalised lambda distribution for given parameter values",
      "topics": [
        "gld.lmoments"
      ]
    },
    {
      "page": "gld.moments",
      "title": "Calculate moments of the FKML type of the generalised lambda distribution for given parameter values",
      "topics": [
        "gld.moments"
      ]
    },
    {
      "page": "plot.starship",
      "title": "Plots to compare a fitted generalised lambda distribution to data",
      "topics": [
        "plot.starship"
      ]
    },
    {
      "page": "plotgl",
      "title": "Plots of density and distribution function for the generalised lambda distribution",
      "topics": [
        "plotgl",
        "plotglc",
        "plotgld"
      ]
    },
    {
      "page": "StarshipClassDocs",
      "title": "Print (or summarise) the results of a starship estimation",
      "topics": [
        "print.starship",
        "summary.starship"
      ]
    },
    {
      "page": "qdgl-deprecated",
      "title": "Deprecated function for density quantile function of gld. See qdgl instead",
      "topics": [
        "qdgl",
        "qdgl-deprecated"
      ]
    },
    {
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      "title": "Quantile-Quantile plot against the generalised lambda distribution",
      "topics": [
        "qqgl"
      ]
    },
    {
      "page": "starship",
      "title": "Carry out the ``starship'' estimation method for the generalised lambda distribution",
      "topics": [
        "starship"
      ]
    },
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      "title": "Carry out the ``starship'' estimation method for the generalised lambda distribution using a grid-based search",
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        "starship.adaptivegrid"
      ]
    },
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      "title": "Objective function that is minimised in starship estimation method",
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