{ "_id": "6a116e6bacfb0bcc41cf5656", "Package": "simsurv", "Type": "Package", "Title": "Simulate Survival Data", "Version": "1.0.1.9000", "Date": "2026-01-22", "Authors@R": "c(person(\"Sam\", \"Brilleman\", email = \"sam.brilleman@gmail.com\",\nrole = c(\"cre\", \"aut\", \"cph\")),\nperson(\"Alessandro\", \"Gasparini\", email = \"ag475@leicester.ac.uk\",\nrole = \"ctb\"))", "Author": "Sam Brilleman [cre, aut, cph], Alessandro Gasparini [ctb]", "Maintainer": "Sam Brilleman ", "Description": "Simulate survival times from standard parametric survival\ndistributions (exponential, Weibull, Gompertz), 2-component\nmixture distributions, or a user-defined hazard, log hazard,\ncumulative hazard, or log cumulative hazard function. Baseline\ncovariates can be included under a proportional hazards\nassumption. Time dependent effects (i.e. non-proportional\nhazards) can be included by interacting covariates with linear\ntime or a user-defined function of time. Clustered event times\nare also accommodated. The 2-component mixture distributions\ncan allow for a variety of flexible baseline hazard functions\nreflecting those seen in practice. If the user wishes to\nprovide a user-defined hazard or log hazard function then this\nis possible, and the resulting cumulative hazard function does\nnot need to have a closed-form solution. For details see the\nsupporting paper . Note that this\npackage is modelled on the 'survsim' package available in the\n'Stata' software (see Crowther and Lambert (2012)\n or\nCrowther and Lambert (2013) ).", "License": "GPL (>=3) | file LICENSE", "VignetteBuilder": "knitr", "LazyData": "true", "BugReports": "https://github.com/sambrilleman/simsurv/issues", "RoxygenNote": "7.1.1", "Repository": "https://sambrilleman.r-universe.dev", "Date/Publication": "2026-01-22 00:10:17 UTC", "RemoteUrl": "https://github.com/sambrilleman/simsurv", "RemoteRef": "HEAD", "RemoteSha": "60e414468d2f959eb8b3f0b76f4489e5c0c5566c", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-23 09:05:06 UTC", "User": "root" }, "MD5sum": "37f18cc0326d693b42a1ae58edc6f472", "_user": "sambrilleman", "_type": "src", "_file": "simsurv_1.0.1.9000.tar.gz", "_fileid": "545bd5b2b931ade5474a955ba3014dd1dd7adffa711cf6727316c95646e4d8c1", "_filesize": 407763, "_sha256": "545bd5b2b931ade5474a955ba3014dd1dd7adffa711cf6727316c95646e4d8c1", "_created": 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"brcancer", "title": "German breast cancer dataset", "topics": [ "brcancer" ] }, { "page": "simsurv", "title": "Simulate survival data", "topics": [ "simsurv" ] } ], "_readme": "https://github.com/sambrilleman/simsurv/raw/HEAD/README.md", "_rundeps": [], "_vignettes": [ { "source": "simsurv_usage.Rmd", "filename": "simsurv_usage.html", "title": "How to use the simsurv package", "author": "Sam Brilleman", "engine": "knitr::rmarkdown", "headings": [ "Preamble", "Usage examples", "Example 1: Simulating under a standard parametric survival model", "Example 2: Simulating under a flexible parametric survival model", "Example 3: Simulating under a Weibull model with time-dependent effects", "Example 4: Simulating under a joint model for longitudinal and survival data", "References" ], "created": "2018-02-26 08:01:41", "modified": "2019-02-01 05:14:17", "commits": 2 }, { "source": "simsurv_technical.Rmd", "filename": "simsurv_technical.html", "title": "Technical background to the simsurv 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