{ "_id": "6a267ad9794753ddbc3eda06", "Package": "joint.Cox", "Type": "Package", "Title": "Joint Frailty-Copula Models for Tumour Progression and Death in\nMeta-Analysis", "Version": "3.16", "Date": "2022-2-4", "Author": "Takeshi Emura", "Maintainer": "Takeshi Emura ", "Description": "Fit survival data and perform dynamic prediction under\njoint frailty-copula models for tumour progression and death.\nLikelihood-based methods are employed for estimating model\nparameters, where the baseline hazard functions are modeled by\nthe cubic M-spline or the Weibull model. The methods are\napplicable for meta-analytic data containing individual-patient\ninformation from several studies. Survival outcomes need\ninformation on both terminal event time (e.g., time-to-death)\nand non-terminal event time (e.g., time-to-tumour progression).\nMethodologies were published in Emura et al. (2017)\n, Emura et al. (2018)\n, Emura et al. (2020)\n, Shinohara et al. (2020)\n, Wu et al. (2020)\n, and Emura et al. (2021)\n. See also the book of Emura et\nal. (2019) . Survival data from\novarian cancer patients are also available.", "License": "GPL-2", "NeedsCompilation": "no", "Packaged": { "Date": "2026-06-08 08:13:54 UTC", "User": "root" }, "Repository": "https://takeshiemura1.r-universe.dev", "Date/Publication": "2022-02-04 09:10:10 UTC", "RemoteUrl": "https://github.com/cran/joint.Cox", "RemoteRef": "HEAD", "RemoteSha": "8b924e04d6ccce89c34c7131ba41852774b1ab79", "MD5sum": "9bdb4429bd05420abd68dc58c4ed7da2", "_user": "takeshiemura1", "_type": "src", "_file": "joint.Cox_3.16.tar.gz", "_fileid": "acc1186177e8c0fa014b73b4f413da1e07991f4d1c7b3ec93a90be5417ce07ad", "_filesize": 2252563, "_sha256": "acc1186177e8c0fa014b73b4f413da1e07991f4d1c7b3ec93a90be5417ce07ad", "_created": "2026-06-08T08:13:54.000Z", "_published": "2026-06-08T08:18:33.377Z", "_distro": "noble", "_jobs": [ { "job": 80050059854, "time": 129, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "7474803105" }, { "job": 80050059863, "time": 141, "config": 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