{ "_id": "6a311f8f3efcd9bda435ca0e", "Package": "cnaOpt", "Title": "Optimizing Consistency and Coverage in Configurational Causal\nModeling", "Authors@R": "c(person(\"Mathias\", \"Ambuehl\", role = c(\"aut\", \"cre\", \"cph\"), \nemail = \"mathias.ambuehl@consultag.ch\"),\nperson(\"Michael\", \"Baumgartner\", role = c(\"aut\", \"cph\"),\nemail = \"michael.baumgartner@uib.no\")\n)", "Version": "0.5.3", "Date": "2025-08-20", "Description": "This is an add-on to the 'cna' package\n comprising various\nfunctions for optimizing consistency and coverage scores of\nmodels of configurational comparative methods as Coincidence\nAnalysis (CNA) and Qualitative Comparative Analysis (QCA). The\nfunction conCovOpt() calculates con-cov optima, selectMax()\nselects con-cov maxima among the con-cov optima, DNFbuild() can\nbe used to build models actually reaching those optima, and\nfindOutcomes() identifies those factor values in analyzed data\nthat can be modeled as outcomes. For a theoretical introduction\nto these functions see Baumgartner and Ambuehl (2021)\n.", "License": "GPL (>= 2)", "Encoding": "UTF-8", "NeedsCompilation": "yes", "Author": "Mathias Ambuehl [aut, cre, cph], Michael Baumgartner [aut, cph]", "Maintainer": "Mathias Ambuehl ", "Packaged": { "Date": "2026-06-16 09:55:46 UTC", "User": "root" }, "Config/pak/sysreqs": "cmake make libicu-dev", "Repository": "https://mathiasambuehl.r-universe.dev", "Date/Publication": "2025-08-20 10:40:02 UTC", "RemoteUrl": "https://github.com/cran/cnaOpt", "RemoteRef": "HEAD", "RemoteSha": "348c17953508d9a8ff564e63b0175793aade6c4a", "MD5sum": "46365652e5b4cc9aa0aa2566267d9565", "_user": "mathiasambuehl", "_type": "src", "_file": "cnaOpt_0.5.3.tar.gz", "_fileid": "115c102eb21e09f58fcc6421abeb44c6efdd7b2a606f6376cbf32902f111c831", "_filesize": 159010, "_sha256": "115c102eb21e09f58fcc6421abeb44c6efdd7b2a606f6376cbf32902f111c831", "_created": "2026-06-16T09:55:46.000Z", "_published": "2026-06-16T10:03:59.152Z", 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