{ "_id": "6a16aef8acfb0bcc41d8493d", "Type": "Package", "Package": "simIDM", "Title": "Simulating Oncology Trials using an Illness-Death Model", "Version": "0.1.0", "Authors@R": "c(\nperson(\"Alexandra\", \"Erdmann\", , \"alexandra.erdmann@uni-ulm.de\", role = c(\"aut\", \"cre\")),\nperson(\"Kaspar\", \"Rufibach\", , \"kaspar.rufibach@roche.com\", role = \"aut\"),\nperson(\"Holger\", \"Löwe\", , \"hbj.loewe@gmail.com\", role = \"aut\"),\nperson(\"Daniel\", \"Sabanés Bové\", , \"daniel.sabanes_bove@roche.com\", role = \"aut\"),\nperson(\"F. Hoffmann-La Roche AG\", role = c(\"cph\", \"fnd\")),\nperson(\"University of Ulm\", role = c(\"cph\", \"fnd\"))\n)", "Description": "Based on the illness-death model a large number of\nclinical trials with oncology endpoints progression-free\nsurvival (PFS) and overall survival (OS) can be simulated, see\nMeller, Beyersmann and Rufibach (2019) .\nThe simulation set-up allows for random and event-driven\ncensoring, an arbitrary number of treatment arms, staggered\nstudy entry and drop-out. Exponentially, Weibull and piecewise\nexponentially distributed survival times can be generated. The\ncorrelation between PFS and OS can be calculated.", "License": "Apache License 2.0", "URL": "https://github.com/insightsengineering/simIDM/", "BugReports": "https://github.com/insightsengineering/simIDM/issues", "VignetteBuilder": "knitr", "Config/testthat/edition": "3", "Encoding": "UTF-8", "Language": "en-US", "Roxygen": "list(markdown = TRUE)", "RoxygenNote": "7.2.3", "Repository": "https://insightsengineering.r-universe.dev", "Date/Publication": "2023-12-11 09:17:38 UTC", "RemoteUrl": "https://github.com/insightsengineering/simIDM", "RemoteRef": "v0.1.0", "RemoteSha": "a88375167c51fc059096d2289060888a86a68249", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-27 08:38:47 UTC", "User": "root" }, "Author": "Alexandra Erdmann [aut, cre],\nKaspar Rufibach [aut],\nHolger Löwe [aut],\nDaniel Sabanés Bové [aut],\nF. 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