{
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  "Package": "arc",
  "Title": "Association Rule Classification",
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  "Date": "2025-04-03",
  "Authors@R": "person(given = \"Tomas\",\nfamily = \"Kliegr\",\nrole = c(\"aut\", \"cre\"),\nemail = \"kliegr@gmail.com\")",
  "Maintainer": "Tomas Kliegr <kliegr@gmail.com>",
  "Description": "Implements the Classification-based on Association Rules\n(CBA) algorithm for association rule classification. The\npackage, also described in Hahsler et al. (2019)\n<doi:10.32614/RJ-2019-048>, contains several convenience\nmethods that allow to automatically set CBA parameters (minimum\nconfidence, minimum support) and it also natively handles\nnumeric attributes by integrating a pre-discretization step.\nThe rule generation phase is handled by the 'arules' package.\nTo further decrease the size of the CBA models produced by the\n'arc' package, postprocessing by the 'qCBA' package is\nsuggested.",
  "Copyright": "The mdlp2.R script reuses parts of the code from the R\n`discretization` package by HyunJi Kim (GPL license).",
  "License": "GPL-3",
  "Encoding": "UTF-8",
  "LazyData": "true",
  "URL": "https://github.com/kliegr/arc",
  "BugReports": "https://github.com/kliegr/arc/issues",
  "RoxygenNote": "7.3.2",
  "Repository": "https://kliegr.r-universe.dev",
  "Date/Publication": "2025-04-08 11:05:31 UTC",
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    "User": "root"
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      "date": "2016-09-07"
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      "title": "Comfort level based on temperature and humidity of the environment",
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      "class": [
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      "fields": [
        "Temperature",
        "Humidity",
        "Class"
      ],
      "rows": 36,
      "table": true,
      "tojson": true
    }
  ],
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      "page": "applyCut",
      "title": "Apply Cut Points to Vector",
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    {
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      "title": "Apply Cut Points to Data Frame",
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      "topics": [
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      ]
    },
    {
      "page": "cba_manual",
      "title": "CBA Classifier from provided rules",
      "topics": [
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      ]
    },
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      "page": "cbaCSV",
      "title": "Example CBA Workflow with CSV Input",
      "topics": [
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      ]
    },
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