{ "_id": "6a1429b5acfb0bcc41d40712", "Package": "survcompare", "Title": "Nested Cross-Validation to Compare Cox-PH, Cox-Lasso, Survival\nRandom Forests", "Version": "0.3.0", "Date": "2025-06-25", "Authors@R": "c(\nperson(\"Diana\", \"Shamsutdinova\", , \"diana.shamsutdinova.github@gmail.com\", role = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0000-0003-2434-3641\")),\nperson(\"Daniel\", \"Stahl\", , \"daniel.r.stahl@kcl.ac.uk\", role = c(\"aut\"),\ncomment = c(ORCID = \"0000-0001-7987-6619\"))\n)", "Description": "Performs repeated nested cross-validation for Cox\nProportionate Hazards, Cox Lasso, Survival Random Forest, and\ntheir ensemble. Returns internally validated concordance index,\ntime-dependent area under the curve, Brier score, calibration\nslope, and statistical testing of non-linear ensemble\noutperforming the baseline Cox model. In this, it helps\nresearchers to quantify the gain of using a more complex\nsurvival model, or justify its redundancy. Equally, it shows\nthe performance value of the non-linear and interaction terms,\nand may highlight the need of further feature transformation.\nFurther details can be found in Shamsutdinova, Stamate,\nRoberts, & Stahl (2022) \"Combining Cox Model and Tree-Based\nAlgorithms to Boost Performance and Preserve Interpretability\nfor Health Outcomes\" , where\nthe method is described as Ensemble 1.", "License": "GPL (>= 3)", "Encoding": "UTF-8", "RoxygenNote": "7.3.2", "VignetteBuilder": "knitr", "Maintainer": "Diana Shamsutdinova ", "Config/testthat/edition": "3", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-25 10:47:35 UTC", "User": "root" }, "Author": "Diana Shamsutdinova [aut, cre] (ORCID:\n), Daniel Stahl [aut]\n(ORCID: )", "Repository": "https://cran.r-universe.dev", "Date/Publication": "2025-06-25 15:40:51 UTC", "RemoteUrl": "https://github.com/cran/survcompare", "RemoteRef": "HEAD", "RemoteSha": "db25ed2140e2555b751a7aac4009db1190334ee5", "MD5sum": 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