{ "_id": "6a4999bf4ae8ee07ee132ca1", "Package": "dcurves", "Title": "Decision Curve Analysis for Model Evaluation", "Version": "0.5.1.9000", "Authors@R": "c(person(given = \"Daniel D.\",\nfamily = \"Sjoberg\",\nrole = c(\"aut\", \"cre\", \"cph\"),\nemail = \"danield.sjoberg@gmail.com\",\ncomment = c(ORCID = \"0000-0003-0862-2018\")),\nperson(given = \"Emily\",\nfamily = \"Vertosick\",\nrole = \"ctb\",\nemail = \"vertosie@mskcc.org\"))", "Description": "Diagnostic and prognostic models are typically evaluated\nwith measures of accuracy that do not address clinical\nconsequences. Decision-analytic techniques allow assessment of\nclinical outcomes, but often require collection of additional\ninformation may be cumbersome to apply to models that yield a\ncontinuous result. Decision curve analysis is a method for\nevaluating and comparing prediction models that incorporates\nclinical consequences, requires only the data set on which the\nmodels are tested, and can be applied to models that have\neither continuous or dichotomous results. See the following\nreferences for details on the methods: Vickers (2006)\n, Vickers (2008)\n, and Pfeiffer (2020)\n.", "License": "MIT + file LICENSE", "URL": "https://github.com/ddsjoberg/dcurves,\nhttps://www.danieldsjoberg.com/dcurves/", "BugReports": "https://github.com/ddsjoberg/dcurves/issues", "VignetteBuilder": "knitr", "ByteCompile": "true", "Config/testthat/edition": "3", "Config/testthat/parallel": "true", "Encoding": "UTF-8", "Language": "en-US", "LazyData": "true", "Roxygen": "list(markdown = TRUE)", "RoxygenNote": "7.3.3", "Config/pak/sysreqs": "libicu-dev", "Repository": "https://ddsjoberg.r-universe.dev", "Date/Publication": "2025-11-15 04:25:10 UTC", "RemoteUrl": "https://github.com/ddsjoberg/dcurves", "RemoteRef": "HEAD", "RemoteSha": "2362730fc50edd553fcb7b65950e166cfa17e8de", "NeedsCompilation": "no", "Packaged": { "Date": "2026-06-21 09:35:00 UTC", "User": "root" }, "Author": "Daniel D. Sjoberg [aut, cre, cph] (ORCID:\n),\nEmily Vertosick [ctb]", "Maintainer": "Daniel D. 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