{ "_id": "6a5b15429baadeef8ab4b0f4", "Package": "YPmodel", "Type": "Package", "Title": "The Short-Term and Long-Term Hazard Ratio Model for Survival\nData", "Version": "1.4", "Date": "2020-10-15", "Author": "Junlong Sun and Song Yang", "Maintainer": "Junlong Sun ", "Description": "Inference procedures accommodate a flexible range of\nhazard ratio patterns with a two-sample semi-parametric model.\nThis model contains the proportional hazards model and the\nproportional odds model as sub-models, and accommodates\nnon-proportional hazards situations to the extreme of having\ncrossing hazards and crossing survivor functions. Overall, this\npackage has four major functions: 1) the parameter estimation,\nnamely short-term and long-term hazard ratio parameters; 2) 95\npercent and 90 percent point-wise confidence intervals and\nsimultaneous confidence bands for the hazard ratio function; 3)\np-value of the adaptive weighted log-rank test; 4) p-values of\ntwo lack-of-fit tests for the model. See the included\n\"read_me_first.pdf\" for brief instructions. In this version\n(1.1), there is no need to sort the data before applying this\npackage.", "License": "GPL (>= 3)", "Repository": "https://junlongsun.r-universe.dev", "Date/Publication": "2020-10-21 01:20:39 UTC", "RemoteUrl": "https://github.com/junlongsun/ypmodel", "RemoteRef": "HEAD", "RemoteSha": "ce7f466103b1d89d95ac739d77f576b21f7f10ff", "NeedsCompilation": "no", "Packaged": { "Date": "2026-07-18 05:52:31 UTC", "User": "root" }, "_user": "junlongsun", "_type": "src", "_file": "YPmodel_1.4.tar.gz", "_fileid": "https://r2.ropensci.org/0e461961797400d6d20a38678ec30bc09133b834e46ff266766395f930a81360", "_filesize": 893657, "_sha256": "0e461961797400d6d20a38678ec30bc09133b834e46ff266766395f930a81360", "_expires": "2026-10-26T05:55:12.000Z", "_created": "2026-07-18T05:52:31.000Z", "_published": "2026-07-18T05:55:14.117Z", "_jobs": [ { "job": 88050276111, "time": 113, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "8426143527" }, { "job": 88050276114, "time": 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