{
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  "Package": "powerSurvEpi",
  "Version": "0.1.5",
  "Date": "2025-06-22",
  "Title": "Power and Sample Size Calculation for Survival Analysis of\nEpidemiological Studies",
  "Authors@R": "c(person(given = \"Weiliang\",\nfamily = \"Qiu\",\nrole = c(\"aut\", \"cre\"),\nemail = \"weiliang.qiu@gmail.com\"),\nperson(given = \"Jorge\",\nfamily = \"Chavarro\",\nrole = \"aut\"),\nperson(given = \"Ross\",\nfamily = \"Lazarus\",\nrole = \"aut\"),\nperson(given = \"Bernard\",\nfamily = \"Rosner\",\nrole = \"aut\"),\nperson(given = \"Jing\",\nfamily = \"Ma\",\nrole = \"aut\"))",
  "Maintainer": "Weiliang Qiu <weiliang.qiu@gmail.com>",
  "Description": "Functions to calculate power and sample size for testing\nmain effect or interaction effect in the survival analysis of\nepidemiological studies (non-randomized studies), taking into\naccount the correlation between the covariate of the interest\nand other covariates. Some calculations also take into account\nthe competing risks and stratified analysis. This package also\nincludes a set of functions to calculate power and sample size\nfor testing main effect in the survival analysis of randomized\nclinical trials and conditional logistic regression for nested\ncase-control study.",
  "License": "GPL (>= 2)",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-10-01 09:51:43 UTC",
    "User": "root"
  },
  "Author": "Weiliang Qiu [aut, cre], Jorge Chavarro [aut], Ross Lazarus\n[aut], Bernard Rosner [aut], Jing Ma [aut]",
  "Repository": "https://weiliang.r-universe.dev",
  "Date/Publication": "2025-06-22 21:32:38 UTC",
  "RemoteUrl": "https://github.com/cran/powerSurvEpi",
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  "_created": "2026-10-01T09:51:43.000Z",
  "_published": "2026-10-01T09:54:36.246Z",
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    "extra/citation.json",
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    "extra/NEWS.html",
    "extra/NEWS.txt",
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  "_realowner": "weiliang",
  "_cranurl": false,
  "_releases": [
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    "ssizeEpiCont",
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    "ssizeEpiInt.default1",
    "ssizeEpiInt2",
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      "name": "Oph",
      "title": "Ophthalmology Data",
      "object": "Oph",
      "file": "Oph.csv.gz",
      "class": [
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      ],
      "fields": [
        "times",
        "status",
        "group"
      ],
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      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "numDEpi",
      "title": "Calculate Number of Deaths Required for Cox Proportional Hazards Regression with Two Covariates for Epidemiological Studies",
      "topics": [
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      ]
    },
    {
      "page": "numDEpi.default",
      "title": "Calculate Number of Deaths Required for Cox Proportional Hazards Regression with Two Covariates for Epidemiological Studies",
      "topics": [
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      ]
    },
    {
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      "title": "Ophthalmology Data",
      "topics": [
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      ]
    },
    {
      "page": "power.stratify",
      "title": "Power Calculation for Survival Analysis with Binary Predictor and Exponential Survival Function",
      "topics": [
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    },
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      "title": "Sample Size Calculation for Conditional Logistic Regression with Binary Covariate",
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      ]
    },
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      ]
    },
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      "title": "Power Calculation in the Analysis of Survival Data for Clinical Trials",
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    },
    {
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      "page": "powerEpiCont",
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      "topics": [
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      ]
    },
    {
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      "title": "Power Calculation for Cox Proportional Hazards Regression with Nonbinary Covariates for Epidemiological Studies",
      "topics": [
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      ]
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      "title": "Power Calculation Testing Interaction Effect for Cox Proportional Hazards Regression with two covariates for Epidemiological Studies (Both covariates should be binary)",
      "topics": [
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    },
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    {
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