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  "Package": "SEL",
  "Type": "Package",
  "Title": "Semiparametric Elicitation",
  "Version": "1.0-4",
  "Date": "2023-11-25",
  "Author": "Bjoern Bornkamp",
  "Maintainer": "Bjoern Bornkamp <bbnkmp@mail.de>",
  "Description": "Implements a method for fitting a bounded probability\ndistribution to quantiles (for example stated by an expert),\nsee Bornkamp and Ickstadt (2009) for details.  For this purpose\nB-splines are used, and the density is obtained by penalized\nleast squares based on a Brier entropy penalty.  The package\nprovides methods for fitting the distribution as well as\nmethods for evaluating the underlying density and cdf. In\naddition methods for plotting the distribution, drawing random\nnumbers and calculating quantiles of the obtained distribution\nare provided.",
  "License": "GPL",
  "Packaged": {
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    "User": "root"
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  "Repository": "https://bbnkmp.r-universe.dev",
  "Date/Publication": "2023-11-26 02:37:28 UTC",
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    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/SEL"
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    "SEL"
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      "page": "SEL-package",
      "title": "Semiparametric Elicitation of a bounded parameter.",
      "topics": [
        "SEL-package"
      ]
    },
    {
      "page": "comparePlot",
      "title": "Compare different elicitated densities.",
      "topics": [
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      ]
    },
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      "title": "Fit an SEL object",
      "topics": [
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      ]
    },
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      "title": "Calculate posterior distribution for binomial model",
      "topics": [
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      ]
    },
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      "title": "Calculate the knot averages of a B-spline basis.",
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      ]
    },
    {
      "page": "min_abs",
      "title": "Find gamma given Delta",
      "topics": [
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      ]
    },
    {
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      "topics": [
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      "title": "Semiparametric Elicitation of a bounded parameter",
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