{ "_id": "6a2980d4732311cd875b2ed1", "Package": "survalis", "Type": "Package", "Title": "Interpretable Survival Machine Learning Framework", "Version": "0.7.1", "Author": "Imad El Badisy [aut, cre]", "Maintainer": "Imad El Badisy ", "Authors@R": "c(person(given = \"Imad\",\nfamily = \"El Badisy\",\nrole = c(\"aut\", \"cre\"),\nemail = \"elbadisyimad@gmail.com\"))", "Description": "A modular toolkit for interpretable survival machine\nlearning with a unified interface for fitting, prediction,\nevaluation, and interpretation. It includes semiparametric,\nparametric, tree-based, ensemble, boosting, kernel, and\ndeep-learning survival learners, together with benchmarking,\nscoring, calibration, and model-agnostic interpretation\nutilities. Representative methodological anchors include Cox\n(1972) , Royston and\nParmar (2002) , Ishwaran et al. (2008)\n, Jaeger et al. (2019)\n, Harrell et al. (1982)\n, Graf et al. (1999)\n,\nFriedman (2001) , Apley and Zhu\n(2020) , and Lundberg and Lee (2017)\n,\nand other related methods for survival modeling, prediction,\nand interpretation.", "License": "MIT + file LICENSE", "URL": "https://github.com/ielbadisy/survalis", "BugReports": "https://github.com/ielbadisy/survalis/issues", "Encoding": "UTF-8", "LazyData": "true", "Roxygen": "list(markdown = TRUE)", "RoxygenNote": "7.3.3", "Config/testthat/edition": "3", "Config/pak/sysreqs": "cmake libglpk-dev make libicu-dev libuv1-dev\nlibxml2-dev libx11-dev", "Repository": "https://ielbadisy.r-universe.dev", "Date/Publication": "2026-06-10 11:44:49 UTC", "RemoteUrl": "https://github.com/ielbadisy/survalis", "RemoteRef": "HEAD", "RemoteSha": "d26ff9407bb2a5fd807b861befc32a55edbcea95", "NeedsCompilation": "no", "Packaged": { "Date": "2026-06-10 15:12:36 UTC", "User": "root" }, "MD5sum": "5fc4fe837208be837b41afb00035b6ca", "_user": "ielbadisy", "_type": "src", "_file": "survalis_0.7.1.tar.gz", "_fileid": 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