{ "_id": "6a22a3a8cd65a98ecbd594df", "Package": "logicDT", "Type": "Package", "Title": "Identifying Interactions Between Binary Predictors", "Version": "1.0.5", "Authors@R": "person(\"Michael\", \"Lau\", email = \"michael.lau@hhu.de\",\nrole = c(\"aut\", \"cre\"), comment = c(ORCID = \"0000-0002-5327-8351\"))", "Description": "A statistical learning method that tries to find the best\nset of predictors and interactions between predictors for\nmodeling binary or quantitative response data in a decision\ntree. Several search algorithms and ensembling techniques are\nimplemented allowing for finetuning the method to the specific\nproblem. Interactions with quantitative covariables can be\nproperly taken into account by fitting local regression models.\nMoreover, a variable importance measure for assessing marginal\nand interaction effects is provided. Implements the procedures\nproposed by Lau et al. (2024,\n).", "License": "MIT + file LICENSE", "Encoding": "UTF-8", "RoxygenNote": "7.1.2", "NeedsCompilation": "yes", "Packaged": { "Date": "2026-06-05 10:18:19 UTC", "User": "root" }, "Author": "Michael Lau [aut, cre]\n()", "Maintainer": "Michael Lau ", "Repository": "https://michlau.r-universe.dev", "Date/Publication": "2024-09-24 03:02:07 UTC", "RemoteUrl": "https://github.com/cran/logicDT", "RemoteRef": "HEAD", "RemoteSha": "e9a2eeff7913ec0816bdf11bc4d8f9de9cdfd035", "MD5sum": "702c838165e2cc0e4b2ad3727fec4137", "_user": "michlau", "_type": "src", "_file": "logicDT_1.0.5.tar.gz", "_fileid": "d19aacc711f3dbf21997f382c13f382ad07fb6ab5ff4fedc5c6bef974916176d", "_filesize": 472659, "_sha256": "d19aacc711f3dbf21997f382c13f382ad07fb6ab5ff4fedc5c6bef974916176d", "_created": "2026-06-05T10:18:19.000Z", "_published": "2026-06-05T10:23:36.091Z", "_distro": "noble", "_jobs": [ { "job": 79708487740, "time": 118, "config": "linux-devel-arm64", "r": "4.7.0", "check": "OK", "artifact": 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