{ "_id": "6a17ed3bacfb0bcc41da490b", "Package": "vita", "Type": "Package", "Title": "Variable Importance Testing Approaches", "Version": "1.0.0", "Date": "2015-12-12", "Authors@R": "person(\"Ender\", \"Celik\", email = \"celik.p.ender@gmail.com\",\nrole = c(\"aut\", \"cre\"))", "Author": "Ender Celik [aut, cre]", "Maintainer": "Ender Celik ", "Description": "Implements the novel testing approach by Janitza et\nal.(2015)\n\nfor the permutation variable importance measure in a random\nforest and the PIMP-algorithm by Altmann et al.(2010)\n. Janitza et al.(2015)\n\ndo not use the \"standard\" permutation variable importance but\nthe cross-validated permutation variable importance for the\nnovel test approach. The cross-validated permutation variable\nimportance is not based on the out-of-bag observations but uses\na similar strategy which is inspired by the cross-validation\nprocedure. The novel test approach can be applied for\nclassification trees as well as for regression trees. However,\nthe use of the novel testing approach has not been tested for\nregression trees so far, so this routine is meant for the\nexpert user only and its current state is rather experimental.", "License": "GPL (>= 2)", "NeedsCompilation": "yes", "Packaged": { "Date": "2026-05-28 07:11:52 UTC", "User": "root" }, "Repository": "https://endercp.r-universe.dev", "Date/Publication": "2015-12-14 19:05:44 UTC", "RemoteUrl": "https://github.com/cran/vita", "RemoteRef": "HEAD", "RemoteSha": "177e2c3f74381c51bfa54f7a6d66f9fc6cbe16bc", "MD5sum": "8cf5554607d3ca6a0341021d907322df", "_user": "endercp", "_type": "src", "_file": "vita_1.0.0.tar.gz", "_fileid": "524882393cb10db513b8d088552929143339f630a404c56568b6677ceab5a462", "_filesize": 182847, "_sha256": "524882393cb10db513b8d088552929143339f630a404c56568b6677ceab5a462", "_created": "2026-05-28T07:11:52.000Z", "_published": "2026-05-28T07:22:35.051Z", "_distro": "noble", "_jobs": [ { "job": 78241604652, "time": 144, "config": 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