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  "Package": "Indicator",
  "Title": "Composite 'Indicator' Construction and Imputation Data",
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  "Authors@R": "c(\nperson(\"Gianmarco\", \"Borrata\", role = c(\"aut\", \"cre\"), email = \"gianmarco.borrata@unina.it\"),\nperson(\"Pasquale\", \"Pipiciello\", role = \"aut\")\n)",
  "Maintainer": "Gianmarco Borrata <gianmarco.borrata@unina.it>",
  "Description": "Different functions includes constructing composite\nindicators, imputing missing data, and evaluating imputation\ntechniques. Additionally, different tools for data\nnormalization. Detailed methodologies of 'Indicator' package\nare: OECD/European Union/EC-JRC (2008), \"Handbook on\nConstructing Composite Indicators: Methodology and User Guide\",\nOECD Publishing, Paris, <DOI:10.1787/533411815016>, Matteo\nMazziotta & Adriano Pareto, (2018) \"Measuring Well-Being Over\nTime: The Adjusted Mazziotta–Pareto Index Versus Other\nNon-compensatory Indices\" <DOI:10.1007/s11205-017-1577-5> and\nDe Muro P., Mazziotta M., Pareto A. (2011), \"Composite Indices\nof Development and Poverty: An Application to MDGs\"\n<DOI:10.1007/s11205-010-9727-z>.",
  "License": "Unlimited",
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  "BugReports": "https://github.com/GianmarcoBorrata/Indicator/issues",
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  "Repository": "https://gianmarcoborrata.r-universe.dev",
  "Date/Publication": "2024-11-27 22:13:22 UTC",
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    "standardization_MPI"
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      "title": "Education",
      "object": "Education",
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        "People with at least a high school diploma (25-64 years old)",
        "Graduates and other tertiary degrees (30-34 years)",
        "Participation in continuing education",
        "People earning a STEM tertiary degree in the year Cultural",
        "Participation outside the home",
        "Reading of books and newspapers",
        "Library use"
      ],
      "rows": 20,
      "table": true,
      "tojson": true
    }
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    {
      "page": "Indicator-package",
      "title": "Indicator: A package for constructing composite indicators, imputing and evaluating missing data imputation",
      "topics": [
        "Indicator-package",
        "Indicator"
      ]
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      "page": "columns_with_nan",
      "title": "Function to get the names of the columns with NAN values",
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      "title": "Calculation of Condition Indices",
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      ]
    },
    {
      "page": "Education",
      "title": "Education",
      "topics": [
        "Education"
      ]
    },
    {
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      "title": "Geometric Aggregation",
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    },
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      "title": "Function to evaluate different nan imputation methods",
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        "get_all_performance"
      ]
    },
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      "topics": [
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      "title": "Linear Aggregation",
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        "linear_aggregation"
      ]
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    {
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      "title": "Adjusted Mazziotta-Pareto index",
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        "linear_aggregation_AMPI"
      ]
    },
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      "title": "Mazziotta-Pareto index",
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      ]
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        "MAD"
      ]
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      "title": "Min-max normalization",
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      ]
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