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Also provides a\nbivariate time-to-event simulation function and an information\nratio-based goodness-of-fit test for copula. Method details can\nbe found in Sun et.al (2019) Lifetime Data Analysis, Sun et.al\n(2021) Biostatistics, Sun et.al (2022) Statistical Methods in\nMedical Research, Sun et.al (2022) Biometrics, and Sun et al.\n(2023+) JRSSC.", "License": "GPL (>= 3)", "Encoding": "UTF-8", "LazyData": "true", "RoxygenNote": "7.2.0", "NeedsCompilation": "no", "Packaged": { "Date": "2026-06-06 07:06:00 UTC", "User": "root" }, "Author": "Tao Sun [aut, cre] (),\nYing Ding [aut] ()", "Maintainer": "Tao Sun ", "Config/pak/sysreqs": "cmake make libgsl0-dev libicu-dev libuv1-dev\nlibssl-dev", "Repository": "https://suntaojj.r-universe.dev", "Date/Publication": "2024-11-14 16:50:02 UTC", "RemoteUrl": "https://github.com/cran/CopulaCenR", "RemoteRef": "HEAD", "RemoteSha": "fdfcb5f390ddffd62ae5ebf7aa1195ae78c0ad68", "MD5sum": "dc6e31c0b38c74d9a9f797a2d340328c", "_user": "suntaojj", "_type": "src", "_file": "CopulaCenR_1.2.4.tar.gz", "_fileid": "b7bc7f3338cc8e2c77e32f3168e728005c402faf6fe4f55c01b3aba278c9f283", 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