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  "Version": "1.2.1",
  "Title": "Interaction Difference Test for Prediction Models",
  "Date": "2024-05-14",
  "Authors@R": "c(person(\"Thomas\", \"Welchowski\", role = c(\"aut\", \"cre\"),\nemail = \"welchow@imbie.meb.uni-bonn.de\",\ncomment=c(ORCID = \"0000-0003-2940-647X\")))",
  "Description": "Provides functions to conduct a model-agnostic asymptotic\nhypothesis test for the identification of interaction effects\nin black-box machine learning models. The null hypothesis\nassumes that a given set of covariates does not contribute to\ninteraction effects in the prediction model. The test statistic\nis based on the difference of variances of partial dependence\nfunctions (Friedman (2008) <doi:10.1214/07-AOAS148> and\nWelchowski (2022) <doi:10.1007/s13253-021-00479-7>) with\nrespect to the original black-box predictions and the\npredictions under the null hypothesis. The hypothesis test can\nbe applied to any black-box prediction model, and the null\nhypothesis of the test can be flexibly specified according to\nthe research question of interest. Furthermore, the test is\ncomputationally fast to apply as the null distribution does not\nrequire resampling or refitting black-box prediction models.",
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    "User": "root"
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  "Author": "Thomas Welchowski [aut, cre]\n(<https://orcid.org/0000-0003-2940-647X>)",
  "Maintainer": "Thomas Welchowski <welchow@imbie.meb.uni-bonn.de>",
  "Repository": "https://cran.r-universe.dev",
  "Date/Publication": "2024-05-15 02:40:51 UTC",
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      "title": "Interaction Difference Test for Prediction Models",
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        "IADT-package"
      ]
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    {
      "page": "pdpEst_mpfr",
      "title": "Partial dependence plot with specific numerical precision",
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        "pdpEst_mpfr"
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    {
      "page": "testIAD_mpfr",
      "title": "Model-agnostic interaction difference test for prediction models",
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        "testIAD_mpfr"
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