{ "_id": "6a2525b94b233be19839283e", "Type": "Package", "Package": "serp", "Title": "Smooth Effects on Response Penalty for CLM", "Version": "0.2.5", "Authors@R": "person(given = \"Ejike R.\",\nfamily = \"Ugba\",\nrole = c(\"aut\", \"cre\", \"cph\"),\nemail = \"ejike.ugba@outlook.com\",\ncomment = c(ORCID = \"0000-0003-2572-0023\"))", "Description": "Implements a regularization method for cumulative link\nmodels using the Smooth-Effect-on-Response Penalty (SERP). This\nmethod allows flexible modeling of ordinal data by enabling a\nsmooth transition from a general cumulative link model to a\nsimplified version of the same model. As the tuning parameter\nincreases from zero to infinity, the subject-specific effects\nfor each variable converge to a single global effect. The\napproach addresses common issues in cumulative link models,\nsuch as parameter unidentifiability and numerical instability,\nby maximizing a penalized log-likelihood instead of the\nstandard non-penalized version. Fitting is performed using a\nmodified Newton's method. Additionally, the package includes\nvarious model performance metrics and descriptive tools. For\ndetails on the implemented penalty method, see Ugba (2021)\n and Ugba et al. (2021)\n.", "License": "GPL-2", "URL": "https://github.com/ejikeugba/serp", "BugReports": "https://github.com/ejikeugba/serp/issues", "Encoding": "UTF-8", "LazyData": "True", "RoxygenNote": "7.3.2", "Repository": "https://ejikeugba.r-universe.dev", "Date/Publication": "2024-11-25 13:36:42 UTC", "RemoteUrl": "https://github.com/ejikeugba/serp", "RemoteRef": "HEAD", "RemoteSha": "b6eec7672acb0ec14c916093459b72554f361939", "NeedsCompilation": "no", "Packaged": { "Date": "2026-06-07 07:59:56 UTC", "User": "root" }, "Author": "Ejike R. Ugba [aut, cre, cph] (ORCID:\n)", "Maintainer": "Ejike R. 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