{ "_id": "6a100a89acfb0bcc41c7f614", "Package": "lorbridge", "Type": "Package", "Title": "Bridging Log-Odds Ratios and Correspondence Analysis via\nCloseness-of-Concordance Measures", "Version": "0.1.0", "Date": "2026-04-19", "Authors@R": "person(\"Se-Kang\", \"Kim\",\nemail = \"se-kang.kim@bcm.edu\",\nrole = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0000-0003-0928-3396\"))", "Description": "Provides a unified analytical workflow that bridges\nconventional binary and multinomial logistic regression with\nsingly-ordered (SONSCA) and doubly-ordered (DONSCA)\nnonsymmetric correspondence analysis. Log-odds ratios (LORs)\nfrom logistic regression are re-expressed as cosine theta\nestimates and closeness-of-concordance measures (CCMs) --\nincluding Yule's Q, Yule's Y, and r_meta -- on the familiar\n[-1, +1] scale introduced by Kim and Grochowalski (2019)\n. Bootstrap confidence intervals\nfor cosine theta are provided throughout. The package is\nintended to help clinical and medical researchers interpret\nassociation strength from logistic regression in an intuitive,\ncorrelation-like metric, and to connect conventional regression\nresults with geometric correspondence analysis visualisations.", "License": "GPL (>= 3)", "URL": "https://github.com/sekangakim/lorbridge", "BugReports": "https://github.com/sekangakim/lorbridge/issues", "Encoding": "UTF-8", "Language": "en-US", "LazyData": "true", "Roxygen": "list(markdown = TRUE)", "RoxygenNote": "7.3.3", "VignetteBuilder": "knitr", "Config/testthat/edition": "3", "Config/pak/sysreqs": "cmake libfontconfig1-dev libfreetype6-dev make\nlibicu-dev libuv1-dev libssl-dev", "Repository": "https://sekangakim.r-universe.dev", "Date/Publication": "2026-04-21 20:46:12 UTC", "RemoteUrl": "https://github.com/sekangakim/lorbridge", "RemoteRef": "HEAD", "RemoteSha": "3705be7bea1ab235fefa70c0ca4b7380327995d4", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-22 07:45:57 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