{
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  "Package": "mldr",
  "Title": "Exploratory Data Analysis and Manipulation of Multi-Label Data\nSets",
  "Version": "0.4.2",
  "Date": "2019-01-28",
  "Authors@R": "c(\nperson(\"David\", \"Charte\", email = \"fdavidcl@ugr.es\", role = \"cre\", comment = c(ORCID = \"0000-0002-4830-9512\")),\nperson(\"Francisco\", \"Charte\", email = \"francisco@fcharte.com\", role = \"aut\", comment = c(ORCID = \"0000-0002-3083-8942\")),\nperson(\"Antonio J.\", \"Rivera\", email = \"arivera@ujaen.es\", role = \"aut\"))",
  "Description": "Exploratory data analysis and manipulation functions for\nmulti- label data sets along with an interactive Shiny\napplication to ease their use.",
  "URL": "https://github.com/fcharte/mldr",
  "License": "LGPL (>= 3) | file LICENSE",
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  "Config/pak/sysreqs": "cmake make libuv1-dev libxml2-dev zlib1g-dev",
  "Repository": "https://fcharte.r-universe.dev",
  "Date/Publication": "2019-12-10 17:34:17 UTC",
  "RemoteUrl": "https://github.com/fcharte/mldr",
  "RemoteRef": "HEAD",
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  "Packaged": {
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    "User": "root"
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  "Author": "David Charte [cre] (ORCID: <https://orcid.org/0000-0002-4830-9512>),\nFrancisco Charte [aut] (ORCID: <https://orcid.org/0000-0002-3083-8942>),\nAntonio J. Rivera [aut]",
  "Maintainer": "David Charte <fdavidcl@ugr.es>",
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  "_user": "fcharte",
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    "name": "Francisco Charte Ojeda"
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  "_assets": [
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    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
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    "extra/readme.html",
    "extra/readme.md",
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  "_realowner": "fcharte",
  "_cranurl": true,
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      "date": "2015-02-13"
    },
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      "date": "2015-07-03"
    },
    {
      "version": "0.2.33",
      "date": "2015-07-18"
    },
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      "date": "2015-09-16"
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    {
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      "date": "2015-10-18"
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      "date": "2019-01-28"
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      "date": "2019-12-19"
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    "average_precision",
    "concurrenceReport",
    "coverage",
    "example_auc",
    "fmeasure",
    "hamming_loss",
    "labelInteractions",
    "macro_auc",
    "macro_fmeasure",
    "macro_precision",
    "macro_recall",
    "micro_auc",
    "micro_fmeasure",
    "micro_precision",
    "micro_recall",
    "mldr",
    "mldr_evaluate",
    "mldr_from_dataframe",
    "mldr_to_labels",
    "mldr_transform",
    "mldrGUI",
    "one_error",
    "precision",
    "ranking_loss",
    "read.arff",
    "recall",
    "remedial",
    "roc",
    "subset_accuracy",
    "write_arff"
  ],
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      "title": "birds",
      "object": "birds",
      "class": [
        "mldr"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    },
    {
      "name": "emotions",
      "title": "emotions",
      "object": "emotions",
      "class": [
        "mldr"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    },
    {
      "name": "genbase",
      "title": "genbase",
      "object": "genbase",
      "class": [
        "mldr"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    }
  ],
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    {
      "page": "sub-.mldr",
      "title": "Filter rows in a'mldr' returning a new 'mldr'",
      "topics": [
        "[.mldr"
      ]
    },
    {
      "page": "plus-.mldr",
      "title": "Generates a new mldr object joining the rows in the two mldrs given as input",
      "topics": [
        "+.mldr"
      ]
    },
    {
      "page": "equals-.mldr",
      "title": "Checks if two mldr objects have the same structure",
      "topics": [
        "==.mldr"
      ]
    },
    {
      "page": "evmetrics-av",
      "title": "Multi-label averaged evaluation metrics",
      "concept": [
        "evaluation metrics"
      ],
      "topics": [
        "accuracy",
        "Averaged metrics",
        "fmeasure",
        "macro_fmeasure",
        "macro_precision",
        "macro_recall",
        "micro_fmeasure",
        "micro_precision",
        "micro_recall",
        "precision",
        "recall"
      ]
    },
    {
      "page": "evmetrics-ml",
      "title": "Multi-label evaluation metrics",
      "concept": [
        "evaluation metrics"
      ],
      "topics": [
        "Basic metrics",
        "hamming_loss",
        "subset_accuracy"
      ]
    },
    {
      "page": "birds",
      "title": "birds",
      "topics": [
        "birds"
      ]
    },
    {
      "page": "concurrenceReport",
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      "topics": [
        "concurrenceReport"
      ]
    },
    {
      "page": "emotions",
      "title": "emotions",
      "topics": [
        "emotions"
      ]
    },
    {
      "page": "genbase",
      "title": "genbase",
      "topics": [
        "genbase"
      ]
    },
    {
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      "topics": [
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      ]
    },
    {
      "page": "mldr",
      "title": "Creates an object representing a multilabel dataset",
      "topics": [
        "mldr"
      ]
    },
    {
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      "title": "Evaluate predictions made by a multilabel classifier",
      "topics": [
        "mldr_evaluate"
      ]
    },
    {
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      "topics": [
        "mldr_from_dataframe"
      ]
    },
    {
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      "title": "Label matrix of an MLD",
      "topics": [
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    },
    {
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      "title": "Transformns an MLDR into binary or multiclass datasets",
      "topics": [
        "mldr_transform"
      ]
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      "topics": [
        "mldrGUI"
      ]
    },
    {
      "page": "plot.mldr",
      "title": "Generates graphic representations of an mldr object",
      "topics": [
        "plot.mldr"
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    },
    {
      "page": "print.mldr",
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      "topics": [
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      "page": "evmetrics-rk",
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        "coverage",
        "example_auc",
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        "one_error",
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        "ranking_loss"
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      "topics": [
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      "topics": [
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      "topics": [
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        "roc.mldr"
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    },
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      "topics": [
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