{ "_id": "6ac0c03791601a2ad29984b9", "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": "2026-10-03 08:33:52 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", "_user": "michlau", "_type": "src", "_file": "logicDT_1.0.5.tar.gz", "_fileid": "https://r2.ropensci.org/72b93b31dd6ecf710cc84128716e87d00150170dbf59ed0b1aaef06397171243", "_filesize": 475629, "_sha256": "72b93b31dd6ecf710cc84128716e87d00150170dbf59ed0b1aaef06397171243", "_expires": "2027-01-11T08:43:33.000Z", "_created": "2026-10-03T08:33:52.000Z", "_published": "2026-10-03T08:43:35.710Z", "_jobs": [ { "job": 111166310029, "time": 119, "config": "linux-devel-arm64", "r": "4.7.0", "check": "OK", "artifact": 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