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  "Description": "Empirical likelihood ratio tests for the Yang and Prentice\n(short/long term hazards ratio) model. Empirical likelihood\ntests within a Cox model, for parameters defined via both\nbaseline hazard function and regression parameters.",
  "Title": "Empirical Likelihood Analysis for the Cox Model and\nYang-Prentice (2005) Model",
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  "URL": "http://www.ms.uky.edu/~mai/EmpLik.html",
  "NeedsCompilation": "yes",
  "Author": "Mai Zhou [aut, cre]",
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    "email": "maizhou@gmail.com",
    "login": "maizhou",
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      "package": "R",
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  "_rbuild": "4.6.1",
  "_assets": [
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    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/ELYP.html",
    "extra/manual.pdf"
  ],
  "_realowner": "maizhou",
  "_cranurl": false,
  "_releases": [
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      "date": "2015-03-27"
    },
    {
      "version": "0.7-2",
      "date": "2015-04-27"
    },
    {
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      "date": "2015-08-07"
    },
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      "date": "2018-08-19"
    },
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      "date": "2025-12-22"
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  ],
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    "BJfindL2",
    "BJfindU2",
    "CoxEL",
    "CoxFindL2",
    "CoxFindL3",
    "CoxFindU2",
    "CoxFindU3",
    "cumsumsurv",
    "ELcomp",
    "ELrange",
    "findL2d",
    "findL3",
    "findL4",
    "findU2d",
    "findU3",
    "findU32",
    "findU4",
    "fitYP3",
    "fitYP4",
    "fitYP41",
    "Haz3",
    "Haz4",
    "myffitYP3",
    "myffitYP4",
    "myffitYP41",
    "myffitYP411",
    "myffitYP412",
    "myLLfun",
    "myLLfun2",
    "Pfun",
    "Pfun2",
    "rYP",
    "simuDataYP",
    "YP3",
    "YP4",
    "YP41"
  ],
  "_datasets": [
    {
      "name": "GastricCancer",
      "title": "Gastric Cancer Data",
      "object": "GastricCancer",
      "file": "GastricCancer.rda",
      "class": [
        "matrix",
        "array"
      ],
      "fields": [],
      "rows": 4,
      "table": true,
      "tojson": true
    },
    {
      "name": "smallcell",
      "title": "Smallcell Lung Cancer Data",
      "object": "smallcell",
      "file": "smallcell.rda",
      "class": [
        "data.frame"
      ],
      "fields": [
        "arm",
        "entry",
        "survival",
        "indicator"
      ],
      "rows": 121,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "BJfindL2",
      "title": "Find the Wilks Confidence Interval Lower Bound for Betafun from the 2 dimensional Buckley-James Empirical Likelihood Ratio Function",
      "topics": [
        "BJfindL2"
      ]
    },
    {
      "page": "BJfindU2",
      "title": "Find the Wilks Confidence Interval Upper Bound for Betafun from the 2 dimensional Buckley-James Empirical Likelihood Ratio Function",
      "topics": [
        "BJfindU2"
      ]
    },
    {
      "page": "CoxEL",
      "title": "Compute Empirical Likelihood and Partial Likelihood of Cox model for Testing the beta and Baseline Jointly.",
      "topics": [
        "CoxEL"
      ]
    },
    {
      "page": "CoxFindL2",
      "title": "Find the Wilks Confidence Interval Lower Bound for Efun based on the Empirical Likelihood Ratio Function CoxEL",
      "topics": [
        "CoxFindL2"
      ]
    },
    {
      "page": "CoxFindL3",
      "title": "Find the Wilks Confidence Interval Upper Bound from the Given Empirical Likelihood Ratio Function",
      "topics": [
        "CoxFindL3"
      ]
    },
    {
      "page": "CoxFindU2",
      "title": "Find the Wilks Confidence Interval Upper Bound for Efun from the Empirical Likelihood Ratio Function CoxEL( ).",
      "topics": [
        "CoxFindU2"
      ]
    },
    {
      "page": "CoxFindU3",
      "title": "Find the Wilks Confidence Interval Upper Bound from the Given Empirical Likelihood Ratio Function",
      "topics": [
        "CoxFindU3"
      ]
    },
    {
      "page": "ELrange",
      "title": "Find the Ractangular parameter region where EL is Only 4 below the Maximum Value.",
      "topics": [
        "ELrange"
      ]
    },
    {
      "page": "findL2d",
      "title": "Find the Wilks Confidence Interval Lower Bound from the Given 2-d Empirical Likelihood Ratio Function",
      "topics": [
        "findL2d"
      ]
    },
    {
      "page": "findL3",
      "title": "Find the Wilks Confidence Interval Lower Bound from the Given Empirical Likelihood Ratio Function",
      "topics": [
        "findL3"
      ]
    },
    {
      "page": "findL4",
      "title": "Find the Wilks Confidence Interval Lower Bound from the Given Empirical Likelihood Ratio Function",
      "topics": [
        "findL4"
      ]
    },
    {
      "page": "findU2d",
      "title": "Find the Wilks Confidence Interval Upper Bound from the Given 2-d Empirical Likelihood Ratio Function",
      "topics": [
        "findU2d"
      ]
    },
    {
      "page": "findU3",
      "title": "Find the Wilks Confidence Interval Upper Bound from the Given Empirical Likelihood Ratio Function",
      "topics": [
        "findU3"
      ]
    },
    {
      "page": "findU32",
      "title": "Find the Wilks Confidence Interval Upper Bound from the Given Empirical Likelihood Ratio Function",
      "topics": [
        "findU32"
      ]
    },
    {
      "page": "findU4",
      "title": "Find the Wilks Confidence Interval Upper Bound from the Given Empirical Likelihood Ratio Function",
      "topics": [
        "findU4"
      ]
    },
    {
      "page": "fitYP3",
      "title": "Compute Baseline Hazard for the Given Data, Given Parameters: beta1, beta2, lam, and fun.  Also, Given the Baseline, Compute the empirical likelihood value.",
      "topics": [
        "fitYP3"
      ]
    },
    {
      "page": "fitYP4",
      "title": "Compute Alpha and Baseline Hazard for the Given Data, Given Parameters beta1, beta2.  Also, compute the empirical likelihood value.",
      "topics": [
        "fitYP4"
      ]
    },
    {
      "page": "fitYP41",
      "title": "Compute the Baseline Hazard for the Given Data, given Parameters beta1, beta2.  Also, compute the empirical likelihood value.",
      "topics": [
        "fitYP41"
      ]
    },
    {
      "page": "GastricCancer",
      "title": "Gastric Cancer Data",
      "topics": [
        "GastricCancer"
      ]
    },
    {
      "page": "myLLfun",
      "title": "Compute Baseline Hazard for the Given Data and Parameters beta1, beta2, lam.  Also Compute the empirical likelihood value.",
      "topics": [
        "myLLfun"
      ]
    },
    {
      "page": "myLLfun2",
      "title": "Compute Baseline Hazard for the Given Data and Parameters beta1, beta2, alpha, lam.  Also Compute the empirical likelihood value.",
      "topics": [
        "myLLfun2"
      ]
    },
    {
      "page": "Pfun",
      "title": "The Hazard Ratio in YP Model as a Function of beta1 beta2 and Mulam.",
      "topics": [
        "Pfun"
      ]
    },
    {
      "page": "Pfun2",
      "title": "The Hazard Ratio in YP Model as a Function of beta1, beta2, a, X, and Mulam.",
      "topics": [
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      ]
    },
    {
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      "title": "Generate random times that follow the YP model with the Given Parameters th1, th2, and alphaX.",
      "topics": [
        "simuDataYP"
      ]
    },
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      ]
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}