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  "Title": "RF Variable Importance for Arbitrary Measures",
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  "Authors@R": "c(\nperson(\"Philipp\", \"Probst\", email = \"philipp_probst@gmx.de\", role = c(\"aut\", \"cre\")),\nperson(\"Silke\",\"Janitza\", email = \"silke.janitza@gmail.com\", role = \"ctb\"))",
  "Description": "Computes the random forest variable importance (VIMP) for\nthe conditional inference random forest (cforest) of the\n'party' package. Includes a function (varImp) that computes the\nVIMP for arbitrary measures from the 'measures' package. For\ncalculating the VIMP regarding the measures accuracy and AUC\ntwo extra functions exist (varImpACC and varImpAUC).",
  "License": "GPL-3",
  "Encoding": "UTF-8",
  "Date": "2020-05-15",
  "RoxygenNote": "7.0.2",
  "Repository": "https://philipppro.r-universe.dev",
  "Date/Publication": "2021-12-25 08:05:32 UTC",
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  "NeedsCompilation": "no",
  "Packaged": {
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    "User": "root"
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  "Author": "Philipp Probst [aut, cre],\nSilke Janitza [ctb]",
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    "author": "Philipp Probst <philipp_probst@gmx.de>",
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    "message": "Fix Regression",
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      "role": "Suggests"
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      "role": "Suggests"
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  "_tags": [],
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    "varImpRanger"
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      "title": "varImp",
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