{
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  "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 <junlong.sun@gmail.com>",
  "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",
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    "User": "root"
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    "committer": "junlongsun <junlongsun@users.noreply.github.com>",
    "message": "Update to 1.4\n",
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  "_assets": [
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    "extra/citation.json",
    "extra/citation.txt",
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  "_realowner": "junlongsun",
  "_cranurl": true,
  "_releases": [
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      "date": "2013-07-11"
    },
    {
      "version": "1.1",
      "date": "2014-02-17"
    },
    {
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      "date": "2015-09-22"
    },
    {
      "version": "1.3",
      "date": "2015-11-09"
    },
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    "fun.classCheck",
    "fun.cumsum",
    "fun.errorMessage",
    "fun.flipud",
    "fun.generateParameters",
    "fun.hazardRationEstimation",
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    "fun.survf",
    "fun.variance",
    "fun.YPmodelOriginal",
    "fun.zeroORone",
    "plot.YPmodel",
    "plot.YPmodel.estimate",
    "plot.YPmodel.IntervalBands",
    "plot.YPmodel.lackfittest",
    "plot.YPmodel.martint",
    "plot.YPmodel.survf",
    "plot.YPmodel.survivor",
    "print.YPmodel",
    "summary.YPmodel",
    "summary.YPmodel.adlgrk",
    "summary.YPmodel.estimate",
    "summary.YPmodel.IntervalBands",
    "summary.YPmodel.lackfittest",
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    "YPmodel",
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    "YPmodel.estimate",
    "YPmodel.inputData",
    "YPmodel.IntervalBands",
    "YPmodel.lackfittest",
    "YPmodel.setParameter",
    "YPmodel.setRandom"
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  "_datasets": [
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      "name": "gastric",
      "title": "Data from Gastrointestinal Tumor Study Group",
      "object": "gastric",
      "file": "gastric.rda",
      "class": [
        "data.frame"
      ],
      "fields": [
        "V1",
        "V2",
        "V3"
      ],
      "rows": 90,
      "table": true,
      "tojson": true
    }
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  "_help": [
    {
      "page": "YPmodel-package",
      "title": "The short-term and long-term hazard ratio model for survival data",
      "topics": [
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      ]
    },
    {
      "page": "gastric",
      "title": "Data from Gastrointestinal Tumor Study Group",
      "topics": [
        "gastric",
        "gastric30"
      ]
    },
    {
      "page": "YPmodel",
      "title": "A main function of package of model of short-term and long-term hazard ratio for survival data",
      "topics": [
        "plot.YPmodel",
        "print.YPmodel",
        "summary.YPmodel",
        "YPmodel",
        "YPmodel.default"
      ]
    },
    {
      "page": "YPmodel-internal",
      "title": "Internal functions for Model of short-term and long-term hazard ratio for survival data",
      "topics": [
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        "fun.classCheck",
        "fun.cumsum",
        "fun.errorMessage",
        "fun.flipud",
        "fun.generateParameters",
        "fun.hazardRationEstimation",
        "fun.hcvxitr1",
        "fun.internalParameters",
        "fun.martint",
        "fun.newBest",
        "fun.ntitr0",
        "fun.oldp2",
        "fun.Rjudge",
        "fun.survf",
        "fun.variance",
        "fun.YPmodelOriginal",
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        "summary.YPmodel.overall",
        "YPmodel-internal",
        "YPmodel.inputData",
        "YPmodel.setParameter",
        "YPmodel.setRandom"
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      "title": "Adaptively weighted logrank test",
      "topics": [
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        "YPmodel.adlgrk"
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      "title": "YPmodel Estimate Parameters.",
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        "plot.YPmodel.survivor",
        "summary.YPmodel.estimate",
        "YPmodel.estimate"
      ]
    },
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      "title": "Beta confidential intervals & bands",
      "topics": [
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        "summary.YPmodel.IntervalBands",
        "YPmodel.IntervalBands"
      ]
    },
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        "plot.YPmodel.martint",
        "plot.YPmodel.survf",
        "summary.YPmodel.lackfittest",
        "YPmodel.lackfittest"
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