{
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  "Package": "DstarM",
  "Type": "Package",
  "Title": "Analyze Two Choice Reaction Time Data with the D*M Method",
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  "Authors@R": "c(\nperson(given = \"Don\", family = \"van den Bergh\", role = c(\"aut\", \"cre\"),\nemail = \"donvdbergh@hotmail.com\",\ncomment = c(ORCID = \"0000-0002-9838-7308\")),\nperson(given = \"Stijn\", family = \"Verdonck\", role = \"aut\",\ncomment = c(ORCID = \"0000-0002-2199-1072\")),\nperson(given = \"Francis\", family = \"Tuerlinckx\", role = \"aut\",\ncomment = c(ORCID = \"0000-0002-1775-7654\"))\n)",
  "Maintainer": "Don van den Bergh <donvdbergh@hotmail.com>",
  "Description": "A collection of functions to estimate parameters of a\ndiffusion model via a D*M analysis. Build in models are: the\nRatcliff diffusion model, the RWiener diffusion model, and\nLinear Ballistic Accumulator models. Custom models functions\ncan be specified as long as they have a density function.",
  "License": "GPL (>= 2)",
  "NeedsCompilation": "yes",
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  "URL": "https://github.com/vandenman/DstarM",
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  "Packaged": {
    "Date": "2026-05-28 07:34:53 UTC",
    "User": "root"
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  "Author": "Don van den Bergh [aut, cre]\n(<https://orcid.org/0000-0002-9838-7308>), Stijn Verdonck [aut]\n(<https://orcid.org/0000-0002-2199-1072>), Francis Tuerlinckx\n[aut] (<https://orcid.org/0000-0002-1775-7654>)",
  "Repository": "https://cran.r-universe.dev",
  "Date/Publication": "2025-04-01 09:00:02 UTC",
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    "description": "I am a postdoc at the University of Amsterdam. I am very interested in everything that entails either statistics or programming.",
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    "extra/citation.json",
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    "battacharyya",
    "chisq",
    "chisqFit",
    "Density",
    "estCdf",
    "estDstarM",
    "estND",
    "estObserved",
    "estQdf",
    "getPdfs",
    "getSter",
    "getTer",
    "hellinger",
    "LBA.density",
    "normalize",
    "obsQuantiles",
    "plotObserved",
    "rtDescriptives",
    "rtHist",
    "simData",
    "testFun",
    "upgradeDstarM",
    "Voss.density",
    "Wiener.density"
  ],
  "_help": [
    {
      "page": "chisq",
      "title": "Calculates the distance between two probability densities.",
      "topics": [
        "battacharyya",
        "chisq",
        "hellinger"
      ]
    },
    {
      "page": "chisqFit",
      "title": "Calculate model fit",
      "topics": [
        "chisqFit"
      ]
    },
    {
      "page": "Density",
      "title": "Density function",
      "topics": [
        "Density"
      ]
    },
    {
      "page": "estCdf",
      "title": "Estimate cumulative distribution for D*M models",
      "topics": [
        "estCdf"
      ]
    },
    {
      "page": "estDstarM",
      "title": "Do a D*M analysis",
      "topics": [
        "estDstarM"
      ]
    },
    {
      "page": "estND",
      "title": "Estimate nondecision density",
      "topics": [
        "estND"
      ]
    },
    {
      "page": "estObserved",
      "title": "Estimate observed data density",
      "topics": [
        "estObserved"
      ]
    },
    {
      "page": "estQdf",
      "title": "Estimate quantiles of distribution",
      "topics": [
        "estQdf"
      ]
    },
    {
      "page": "getPdfs",
      "title": "(Re)Calculate model densities with given parameters and time grid",
      "topics": [
        "getPdfs"
      ]
    },
    {
      "page": "getSter",
      "title": "Estimate variance of nondecision density",
      "topics": [
        "getSter"
      ]
    },
    {
      "page": "getTer",
      "title": "Calculate Mean of the nondecision distribution.",
      "topics": [
        "getTer"
      ]
    },
    {
      "page": "normalize",
      "title": "Normalize two pdfs",
      "topics": [
        "normalize"
      ]
    },
    {
      "page": "obsQuantiles",
      "title": "Calculate model fit",
      "topics": [
        "obsQuantiles"
      ]
    },
    {
      "page": "plotObserved",
      "title": "Plot quantiles of data against model implied quantiles.",
      "topics": [
        "plotObserved"
      ]
    },
    {
      "page": "rtDescriptives",
      "title": "Descriptives of reaction time data",
      "topics": [
        "rtDescriptives"
      ]
    },
    {
      "page": "rtHist",
      "title": "Make histograms of reaction time data",
      "topics": [
        "rtHist"
      ]
    },
    {
      "page": "simData",
      "title": "Simulate data from a given density function via multinomial sampling",
      "topics": [
        "simData"
      ]
    },
    {
      "page": "testFun",
      "title": "Test fun.density with lower and upper bounds",
      "topics": [
        "testFun"
      ]
    },
    {
      "page": "upgradeDstarM",
      "title": "Upgrade a DstarM object for backwards compatibility",
      "topics": [
        "upgradeDstarM"
      ]
    },
    {
      "page": "Voss.density",
      "title": "Calculate model density for a given set of parameters",
      "topics": [
        "LBA.density",
        "Voss.density",
        "Wiener.density"
      ]
    }
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