{ "_id": "6a30220c3efcd9bda433e05c", "Type": "Package", "Package": "CopulaSCR", "Title": "Analysis of Semi-Competing Risks Data Using Copula-Based Models", "Version": "1.0.1", "Authors@R": "c(\nperson(given = \"Tonghui\",\nfamily = \"Yu\",\nrole = c(\"aut\", \"cre\"),\nemail = \"tonghui_yu@126.com\"),\nperson(given = \"Binhui\",\nfamily = \"Zhang\",\nrole = \"aut\")\n)", "Description": "Simulate and analyze Semi-competing Risks Data using\ncopula-based models. The Semi-competing Risks Data consist of a\nterminal event time and single or multiple intermediate event\ntimes. The marginal survival functions of these event times are\nestimated without parametric assumptions. The association\nparameters measuring dependency among these event times\ninvolving the copula model are yielded from solving a\nconcordance estimating equations or maximizing a\npseudo-likelihood function. Details can be found in the article\nby Tonghui Yu and Liming Xiang (2026)\n.", "License": "GPL-3", "Config/testthat/edition": "3", "Encoding": "UTF-8", "LazyData": "true", "RoxygenNote": "7.3.3", "Config/pak/sysreqs": "cmake make libgsl0-dev libicu-dev libjpeg-dev\nlibpng-dev libxml2-dev libssl-dev zlib1g-dev", "Repository": "https://ytonghui.r-universe.dev", "Date/Publication": "2026-06-15 07:45:48 UTC", "RemoteUrl": "https://github.com/ytonghui/copulascr", "RemoteRef": "HEAD", "RemoteSha": "6d6fdecab71a3a056b1dda28f07f1a4db777a56f", "NeedsCompilation": "yes", "Packaged": { "Date": "2026-06-15 15:52:45 UTC", "User": "root" }, "Author": "Tonghui Yu [aut, cre],\nBinhui Zhang [aut]", "Maintainer": "Tonghui Yu ", "MD5sum": "0c3729db167ce7042883d3e0a846aec6", "_user": "ytonghui", "_type": "src", "_file": "CopulaSCR_1.0.1.tar.gz", "_fileid": "eb050437c9b02f3556fa129291b61282eec7630e89e893f8c1cd5d8a1a9e0465", "_filesize": 269884, "_sha256": 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