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  "Package": "dsPUcopula",
  "Type": "Package",
  "Title": "DataSHIELD Server Functions for Partition-of-Unity Copula Based\nSynthesis",
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  "Authors@R": "c(\nperson(\ngiven = \"Andreas\",\nfamily = \"Mändle\",\nemail = \"maendle@leibniz-bips.de\",\nrole = c(\"aut\", \"cre\")\n)\n)",
  "Description": "Implements the server-side components required to generate\nprivacy-protecting synthetic data in the DataSHIELD\ninfrastructure. The package orchestrates the preprocessing,\ncopula fitting, synthetic data generation and privacy scoring\nworkflows by combining R and Python tooling.",
  "License": "MIT + file LICENSE",
  "URL": "https://github.com/amaendle/dsPUcopula",
  "BugReports": "https://github.com/amaendle/dsPUcopula/issues",
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  "Repository": "https://amaendle.r-universe.dev",
  "Date/Publication": "2026-04-13 08:08:58 UTC",
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    "estimateMarginalsDS",
    "fitPUcopulaDS",
    "generateSyntheticDS",
    "postprocessDataDS",
    "preprocessDataDS",
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    {
      "page": "estimateMarginalsDS",
      "title": "Estimate marginal distributions for the fitted copula",
      "topics": [
        "estimateMarginalsDS"
      ]
    },
    {
      "page": "fitPUcopulaDS",
      "title": "Fit the PU copula model on the server side",
      "topics": [
        "fitPUcopulaDS"
      ]
    },
    {
      "page": "generateSyntheticDS",
      "title": "Generate synthetic data and privacy scores",
      "topics": [
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      ]
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    {
      "page": "postprocessDataDS",
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      "topics": [
        "postprocessDataDS"
      ]
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    {
      "page": "preprocess_helpers",
      "title": "Helpers for preserving and restoring server-side metadata",
      "topics": [
        "preprocess_helpers"
      ]
    },
    {
      "page": "preprocessDataDS",
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      "topics": [
        "preprocessDataDS"
      ]
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      "topics": [
        "py_anonymeter_Inference"
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    },
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      "page": "py_anonymeter_SinglingOut",
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    },
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      "page": "save_original_varnamesDS",
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    },
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    {
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      "title": "Draw samples from the fitted PUcopula model",
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    }
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