{
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  "Package": "permimp",
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  "Title": "Conditional Permutation Importance",
  "Version": "1.1.0.9000",
  "Date": "2025-03-26",
  "Authors@R": "c(person(given = \"Dries\", family = \"Debeer\", role = c(\"aut\", \"cre\"), email = \"debeer.dries@gmail.com\"),\nperson(given = \"Torsten\", family = \"Hothorn\", role = \"aut\"),\nperson(given = \"Carolin\", family = \"Strobl\", role = \"aut\"))",
  "Author": "Dries Debeer [aut, cre], Torsten Hothorn [aut], Carolin Strobl\n[aut]",
  "Maintainer": "Dries Debeer <debeer.dries@gmail.com>",
  "Description": "An add-on to the 'party' package, with a faster\nimplementation of the partial-conditional permutation\nimportance for random forests. The standard permutation\nimportance is implemented exactly the same as in the 'party'\npackage. The conditional permutation importance can be computed\nfaster, with an option to be backward compatible to the 'party'\nimplementation. The package is compatible with random forests\nfit using the 'party' and the 'randomForest' package. The\nmethods are described in Strobl et al. (2007)\n<doi:10.1186/1471-2105-8-25> and Debeer and Strobl (2020)\n<doi:10.1186/s12859-020-03622-2>.",
  "License": "GPL-2 | GPL-3",
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  "URL": "https://ddebeer.github.io/permimp/",
  "Repository": "https://ddebeer.r-universe.dev",
  "Date/Publication": "2025-03-28 11:35:29 UTC",
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    "plot.VarImp",
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    {
      "page": "permimp-package",
      "title": "Conditional Permutation Importance",
      "topics": [
        "permimp-package"
      ]
    },
    {
      "page": "permimp",
      "title": "Random Forest Permutation Importance for random forests",
      "topics": [
        "permimp",
        "permimp.RandomForest",
        "permimp.randomForest"
      ]
    },
    {
      "page": "ranks",
      "title": "Reversed Rankings",
      "topics": [
        "ranks",
        "ranks.default",
        "ranks.VarImp"
      ]
    },
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      "title": "Predictor Selection Frequency in Random Forests",
      "topics": [
        "selFreq"
      ]
    },
    {
      "page": "VarImp",
      "title": "VarImp Objects",
      "topics": [
        "as.VarImp",
        "as.VarImp.data.frame",
        "as.VarImp.matrix",
        "as.VarImp.numeric",
        "is.VarImp",
        "VarImp"
      ]
    },
    {
      "page": "VarImp-methods",
      "title": "Methods for VarImp Objects",
      "topics": [
        "plot.VarImp",
        "print.VarImp",
        "subset.VarImp",
        "VarImp-methods"
      ]
    }
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      "source": "permimp-package.Rmd",
      "filename": "permimp-package.html",
      "title": "The permimp-package",
      "author": "Dries Debeer",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Introduction",
        "Part I: permimp-tutorial",
        "A. The permimp-function",
        "A.1. New Conditional Permutation Importance",
        "A.2. Different results?",
        "A.3. Backward Compatible with party when: asParty = TRUE",
        "A.4. Different Output: VarImp-object",
        "A.5. Unconditional Permutation Importance: permimp = varimp",
        "B. Methods for VarImp-objects",
        "B.1. plot",
        "Additionally you can:",
        "Although we would advise against this in most situations, you can also:",
        "B.2. Other VarImp-methods",
        "C. permimp applied to randomForest-objects",
        "Part II: New Conditional Permutation Implementation",
        "A. Recapitulation: Conditional Permutation Importance.",
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        "Some issues",
        "C. New Implementation (permimp).",
        "Important implications",
        "D. How to Use the Threshold.",
        "References"
      ],
      "created": "2020-06-11 12:12:40",
      "modified": "2025-03-27 15:23:11",
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