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  "Package": "fmeffects",
  "Title": "Model-Agnostic Interpretations with Forward Marginal Effects",
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  "Authors@R": "c(\nperson(\"Holger\", \"Löwe\", , \"hbj.loewe@gmail.com\", role = c(\"cre\", \"aut\")),\nperson(\"Christian\", \"Scholbeck\", , \"christian.scholbeck@stat.uni-muenchen.de\", role = \"aut\"),\nperson(\"Christian\", \"Heumann\", , \"christian.heumann@stat.uni-muenchen.de\", role = \"rev\"),\nperson(\"Bernd\", \"Bischl\", , \"bernd.bischl@stat.uni-muenchen.de\", role = \"rev\"),\nperson(\"Giuseppe\", \"Casalicchio\", , \"giuseppe.casalicchio@stat.uni-muenchen.de\", role = \"rev\")\n)",
  "Description": "Create local, regional, and global explanations for any\nmachine learning model with forward marginal effects. You\nprovide a model and data, and 'fmeffects' computes feature\neffects. The package is based on the theory in: C. A.\nScholbeck, G. Casalicchio, C. Molnar, B. Bischl, and C. Heumann\n(2022) <doi:10.48550/arXiv.2201.08837>.",
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  "URL": "https://holgstr.github.io/fmeffects/,\nhttps://github.com/holgstr/fmeffects",
  "BugReports": "https://github.com/holgstr/fmeffects/issues",
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  "Date/Publication": "2024-11-05 16:36:51 UTC",
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