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  "Title": "Computed ABC Analysis",
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  "Author": "Michael Thrun, Jorn Lotsch, Alfred Ultsch",
  "Maintainer": "Florian Lerch <lerch@mathematik.uni-marburg.de>",
  "Description": "For a given data set, the package provides a novel method\nof computing precise limits to acquire subsets which are easily\ninterpreted. Closely related to the Lorenz curve, the ABC curve\nvisualizes the data by graphically representing the cumulative\ndistribution function. Based on an ABC analysis the algorithm\ncalculates, with the help of the ABC curve, the optimal limits\nby exploiting the mathematical properties pertaining to\ndistribution of analyzed items. The data containing positive\nvalues is divided into three disjoint subsets A, B and C, with\nsubset A comprising very profitable values, i.e. largest data\nvalues (\"the important few\"), subset B comprising values where\nthe yield equals to the effort required to obtain it, and the\nsubset C comprising of non-profitable values, i.e., the\nsmallest data sets (\"the trivial many\"). Package is based on\n\"Computed ABC Analysis for rational Selection of most\ninformative Variables in multivariate Data\", PLoS One. Ultsch.\nA., Lotsch J. (2015) <DOI:10.1371/journal.pone.0129767>.",
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  "URL": "https://www.uni-marburg.de/fb12/datenbionik/software-en",
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      "title": "Computed ABC analysis",
      "topics": [
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        "ABCanalyse",
        "dbt.ABC",
        "dbt.ABCanalyse",
        "dbt.ABCanalysis"
      ]
    },
    {
      "page": "ABCanalysis",
      "title": "Computed ABC analysis: calculates a division of the data in 3 classes A, B and C",
      "topics": [
        "ABCanalysis"
      ]
    },
    {
      "page": "ABCanalysis4curve",
      "title": "calculate ABC Analysis from a given curve.",
      "topics": [
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      ]
    },
    {
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      "title": "Displays ABC plot with ABCanalysis",
      "topics": [
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      ]
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    {
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      "title": "Data cleaning for ABC analysis",
      "topics": [
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    },
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      "title": "calculates ABC Curve",
      "topics": [
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      ]
    },
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      "topics": [
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    },
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