{
  "_id": "6a480785e06c18f0a652905e",
  "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": "2026-07-03 19:00:26 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",
  "RemoteRef": "HEAD",
  "RemoteSha": "5d35bae5b61613f15a5ebffd2d2414a5b263256c",
  "_user": "weiliang",
  "_type": "src",
  "_file": "powerSurvEpi_0.1.5.tar.gz",
  "_fileid": "https://r2.ropensci.org/34978f2494a7f89e2fe7817b353e1fc005be90f4083bd3e5134f76e9b85207c1",
  "_filesize": 488960,
  "_sha256": "34978f2494a7f89e2fe7817b353e1fc005be90f4083bd3e5134f76e9b85207c1",
  "_expires": "2026-10-11T19:03:31.000Z",
  "_created": "2026-07-03T19:00:26.000Z",
  "_published": "2026-07-03T19:03:33.288Z",
  "_jobs": [
    {
      "job": 85057773640,
      "time": 143,
      "config": "linux-devel-x86_64",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "8073330372"
    },
    {
      "job": 85057773611,
      "time": 111,
      "config": "linux-release-x86_64",
      "r": "4.6.1",
      "check": "OK",
      "artifact": "8073324284"
    },
    {
      "job": 85057773648,
      "time": 128,
      "config": "macos-oldrel-arm64",
      "r": "4.5.3",
      "check": "OK",
      "artifact": "8073323934"
    },
    {
      "job": 85057773608,
      "time": 133,
      "config": "macos-release-arm64",
      "r": "4.6.1",
      "check": "OK",
      "artifact": "8073324513"
    },
    {
      "job": 85057443421,
      "time": 166,
      "config": "source",
      "r": "4.6.1",
      "check": "OK",
      "artifact": "8073301295"
    },
    {
      "job": 85057773600,
      "time": 88,
      "config": "wasm-release",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "8073319796"
    },
    {
      "job": 85057773637,
      "time": 76,
      "config": "windows-devel",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "8073317447"
    },
    {
      "job": 85057773628,
      "time": 90,
      "config": "windows-oldrel",
      "r": "4.5.3",
      "check": "OK",
      "artifact": "8073319878"
    },
    {
      "job": 85057773636,
      "time": 88,
      "config": "windows-release",
      "r": "4.6.1",
      "check": "OK",
      "artifact": "8073319692"
    }
  ],
  "_host": "GitHub-Actions",
  "_buildurl": "https://github.com/r-universe/weiliang/actions/runs/28678664376",
  "_status": "success",
  "_upstream": "https://github.com/cran/powerSurvEpi",
  "_commit": {
    "id": "5d35bae5b61613f15a5ebffd2d2414a5b263256c",
    "author": "Weiliang Qiu <weiliang.qiu@gmail.com>",
    "committer": "cran-robot <csardi.gabor+cran@gmail.com>",
    "message": "version 0.1.5\n",
    "time": 1750627958
  },
  "_maintainer": {
    "name": "Weiliang Qiu",
    "email": "weiliang.qiu@gmail.com",
    "login": "weiliang",
    "description": "",
    "uuid": 755168
  },
  "_distro": "resolute",
  "_registered": true,
  "_dependencies": [
    {
      "package": "R",
      "version": ">= 3.6.0",
      "role": "Depends"
    },
    {
      "package": "stats",
      "role": "Imports"
    },
    {
      "package": "survival",
      "role": "Imports"
    },
    {
      "package": "pracma",
      "role": "Imports"
    }
  ],
  "_owner": "cran",
  "_selfowned": true,
  "_usedby": 3,
  "_updates": [],
  "_tags": [],
  "_stars": 0,
  "_contributors": [
    {
      "user": "weiliangqiu",
      "count": 4,
      "uuid": 22828973
    },
    {
      "user": "weiliang",
      "count": 3,
      "uuid": 755168
    }
  ],
  "_userbio": {
    "uuid": 755168,
    "type": "user",
    "name": "weiliang",
    "followers": 2
  },
  "_downloads": {
    "count": 1175,
    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/powerSurvEpi"
  },
  "_mentions": 22,
  "_searchresults": 113,
  "_rbuild": "4.6.1",
  "_assets": [
    "extra/citation.cff",
    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/NEWS.html",
    "extra/NEWS.txt",
    "extra/powerSurvEpi.html",
    "manual.pdf"
  ],
  "_realowner": "weiliang",
  "_cranurl": false,
  "_releases": [
    {
      "version": "0.0.5",
      "date": "2009-04-17"
    },
    {
      "version": "0.0.6",
      "date": "2012-03-31"
    },
    {
      "version": "0.0.9",
      "date": "2015-07-24"
    },
    {
      "version": "0.1.0",
      "date": "2018-02-07"
    },
    {
      "version": "0.1.1",
      "date": "2021-01-08"
    },
    {
      "version": "0.1.3",
      "date": "2021-03-01"
    },
    {
      "version": "0.1.5",
      "date": "2025-06-22"
    }
  ],
  "_exports": [
    "numDEpi",
    "numDEpi.default",
    "power.stratify",
    "powerConLogistic.bin",
    "powerConLogistic.con",
    "powerCT",
    "powerCT.default",
    "powerCT.default0",
    "powerEpi",
    "powerEpi.default",
    "powerEpiCont",
    "powerEpiCont.default",
    "powerEpiInt",
    "powerEpiInt.default0",
    "powerEpiInt.default1",
    "powerEpiInt2",
    "powerWelchT",
    "ssize.stratify",
    "ssizeCT",
    "ssizeCT.default",
    "ssizeEpi",
    "ssizeEpi.default",
    "ssizeEpiCont",
    "ssizeEpiCont.default",
    "ssizeEpiInt",
    "ssizeEpiInt.default0",
    "ssizeEpiInt.default1",
    "ssizeEpiInt2",
    "ssizeWelchT"
  ],
  "_datasets": [
    {
      "name": "Oph",
      "title": "Ophthalmology Data",
      "object": "Oph",
      "file": "Oph.csv.gz",
      "class": [
        "data.frame"
      ],
      "fields": [
        "times",
        "status",
        "group"
      ],
      "rows": 354,
      "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": [
        "numDEpi"
      ]
    },
    {
      "page": "numDEpi.default",
      "title": "Calculate Number of Deaths Required for Cox Proportional Hazards Regression with Two Covariates for Epidemiological Studies",
      "topics": [
        "numDEpi.default"
      ]
    },
    {
      "page": "Oph",
      "title": "Ophthalmology Data",
      "topics": [
        "Oph"
      ]
    },
    {
      "page": "power.stratify",
      "title": "Power Calculation for Survival Analysis with Binary Predictor and Exponential Survival Function",
      "topics": [
        "power.stratify"
      ]
    },
    {
      "page": "powerConLogistic.bin",
      "title": "Sample Size Calculation for Conditional Logistic Regression with Binary Covariate",
      "topics": [
        "powerConLogistic.bin"
      ]
    },
    {
      "page": "powerConLogistic.con",
      "title": "Sample Size Calculation for Conditional Logistic Regression with Continuous Covariate",
      "topics": [
        "powerConLogistic.con"
      ]
    },
    {
      "page": "powerCT",
      "title": "Power Calculation in the Analysis of Survival Data for Clinical Trials",
      "topics": [
        "powerCT"
      ]
    },
    {
      "page": "powerCT.default",
      "title": "Power Calculation in the Analysis of Survival Data for Clinical Trials",
      "topics": [
        "powerCT.default"
      ]
    },
    {
      "page": "powerCT.default0",
      "title": "Power Calculation in the Analysis of Survival Data for Clinical Trials",
      "topics": [
        "powerCT.default0"
      ]
    },
    {
      "page": "powerEpi",
      "title": "Power Calculation for Cox Proportional Hazards Regression with Two Covariates for Epidemiological Studies",
      "topics": [
        "powerEpi"
      ]
    },
    {
      "page": "powerEpi.default",
      "title": "Power Calculation for Cox Proportional Hazards Regression with Two Covariates for Epidemiological Studies",
      "topics": [
        "powerEpi.default"
      ]
    },
    {
      "page": "powerEpiCont",
      "title": "Power Calculation for Cox Proportional Hazards Regression with Nonbinary Covariates for Epidemiological Studies",
      "topics": [
        "powerEpiCont"
      ]
    },
    {
      "page": "powerEpiCont.default",
      "title": "Power Calculation for Cox Proportional Hazards Regression with Nonbinary Covariates for Epidemiological Studies",
      "topics": [
        "powerEpiCont.default"
      ]
    },
    {
      "page": "powerEpiInt",
      "title": "Power Calculation Testing Interaction Effect for Cox Proportional Hazards Regression with two covariates for Epidemiological Studies (Both covariates should be binary)",
      "topics": [
        "powerEpiInt"
      ]
    },
    {
      "page": "powerEpiInt.default0",
      "title": "Power Calculation Testing Interaction Effect for Cox Proportional Hazards Regression",
      "topics": [
        "powerEpiInt.default0"
      ]
    },
    {
      "page": "powerEpiInt.default1",
      "title": "Power Calculation Testing Interaction Effect for Cox Proportional Hazards Regression",
      "topics": [
        "powerEpiInt.default1"
      ]
    },
    {
      "page": "powerEpiInt2",
      "title": "Power Calculation Testing Interaction Effect for Cox Proportional Hazards Regression",
      "topics": [
        "powerEpiInt2"
      ]
    },
    {
      "page": "powerWelchT",
      "title": "Power of Two-Sided Two Sample T Test With Unequal Variances And Unequal Sample Sizes",
      "topics": [
        "powerWelchT"
      ]
    },
    {
      "page": "ssize.stratify",
      "title": "Sample size calculation for Survival Analysis with Binary Predictor and Exponential Survival Function",
      "topics": [
        "ssize.stratify"
      ]
    },
    {
      "page": "ssizeCT",
      "title": "Sample Size Calculation in the Analysis of Survival Data for Clinical Trials",
      "topics": [
        "ssizeCT"
      ]
    },
    {
      "page": "ssizeCT.default",
      "title": "Sample Size Calculation in the Analysis of Survival Data for Clinical Trials",
      "topics": [
        "ssizeCT.default"
      ]
    },
    {
      "page": "ssizeEpi",
      "title": "Sample Size Calculation for Cox Proportional Hazards Regression",
      "topics": [
        "ssizeEpi"
      ]
    },
    {
      "page": "ssizeEpi.default",
      "title": "Sample Size Calculation for Cox Proportional Hazards Regression",
      "topics": [
        "ssizeEpi.default"
      ]
    },
    {
      "page": "ssizeEpiCont",
      "title": "Sample Size Calculation for Cox Proportional Hazards Regression with Nonbinary Covariates for Epidemiological Studies",
      "topics": [
        "ssizeEpiCont"
      ]
    },
    {
      "page": "ssizeEpiCont.default",
      "title": "Sample Size Calculation for Cox Proportional Hazards Regression with Nonbinary Covariates for Epidemiological Studies",
      "topics": [
        "ssizeEpiCont.default"
      ]
    },
    {
      "page": "ssizeEpiInt",
      "title": "Sample Size Calculation Testing Interaction Effect for Cox Proportional Hazards Regression",
      "topics": [
        "ssizeEpiInt"
      ]
    },
    {
      "page": "ssizeEpiInt.default0",
      "title": "Sample Size Calculation Testing Interaction Effect for Cox Proportional Hazards Regression",
      "topics": [
        "ssizeEpiInt.default0"
      ]
    },
    {
      "page": "ssizeEpiInt.default1",
      "title": "Sample Size Calculation Testing Interaction Effect for Cox Proportional Hazards Regression",
      "topics": [
        "ssizeEpiInt.default1"
      ]
    },
    {
      "page": "ssizeEpiInt2",
      "title": "Sample Size Calculation Testing Interaction Effect for Cox Proportional Hazards Regression",
      "topics": [
        "ssizeEpiInt2"
      ]
    },
    {
      "page": "ssizeWelchT",
      "title": "Sample Size Calculation For Two-Sided Two Sample T Test With Unequal Variances And Unequal Sample Sizes",
      "topics": [
        "ssizeWelchT"
      ]
    }
  ],
  "_rundeps": [
    "lattice",
    "Matrix",
    "pracma",
    "survival"
  ],
  "_score": 4.077358819530499,
  "_indexed": true,
  "_nocasepkg": "powersurvepi",
  "_universes": [
    "weiliang"
  ],
  "_binaries": [
    {
      "r": "4.7.0",
      "os": "linux",
      "version": "0.1.5",
      "date": "2026-07-03T19:02:45.000Z",
      "distro": "resolute",
      "commit": "5d35bae5b61613f15a5ebffd2d2414a5b263256c",
      "fileid": "https://r2.ropensci.org/b860dcaae294253040a43d5dd29da0a1e46a7b82a7f73341d96530cd99e9dada",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/weiliang/actions/runs/28678664376"
    },
    {
      "r": "4.6.1",
      "os": "linux",
      "version": "0.1.5",
      "date": "2026-07-03T19:02:17.000Z",
      "distro": "resolute",
      "commit": "5d35bae5b61613f15a5ebffd2d2414a5b263256c",
      "fileid": "https://r2.ropensci.org/7db30187634126facfbdb8df6824a18ad10b97403788d4ecf80a603554c04b43",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/weiliang/actions/runs/28678664376"
    },
    {
      "r": "4.5.3",
      "os": "mac",
      "version": "0.1.5",
      "date": "2026-07-03T19:02:25.000Z",
      "commit": "5d35bae5b61613f15a5ebffd2d2414a5b263256c",
      "fileid": "https://r2.ropensci.org/f067d630045fd4b0fe64b186d70c0acd7a5036de3975ae8ba67630aa49e49c12",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/weiliang/actions/runs/28678664376"
    },
    {
      "r": "4.6.1",
      "os": "mac",
      "version": "0.1.5",
      "date": "2026-07-03T19:02:24.000Z",
      "commit": "5d35bae5b61613f15a5ebffd2d2414a5b263256c",
      "fileid": "https://r2.ropensci.org/9b4d0513b6a088174da68ad6485f67f88fb08c09458abba6fdcb521878cc0113",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/weiliang/actions/runs/28678664376"
    },
    {
      "r": "4.6.0",
      "os": "wasm",
      "version": "0.1.5",
      "date": "2026-07-03T19:02:18.000Z",
      "commit": "5d35bae5b61613f15a5ebffd2d2414a5b263256c",
      "fileid": "https://r2.ropensci.org/2c45af229f8b7fd27accfa19ddafbbbb4442e48e7ec9af5df5c46cc10b03390a",
      "status": "success",
      "buildurl": "https://github.com/r-universe/weiliang/actions/runs/28678664376"
    },
    {
      "r": "4.7.0",
      "os": "win",
      "version": "0.1.5",
      "date": "2026-07-03T19:01:33.000Z",
      "commit": "5d35bae5b61613f15a5ebffd2d2414a5b263256c",
      "fileid": "https://r2.ropensci.org/e53c851fe982995d4f34981a9942a10124014b326407a046658d2ecc159cb923",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/weiliang/actions/runs/28678664376"
    },
    {
      "r": "4.5.3",
      "os": "win",
      "version": "0.1.5",
      "date": "2026-07-03T19:01:44.000Z",
      "commit": "5d35bae5b61613f15a5ebffd2d2414a5b263256c",
      "fileid": "https://r2.ropensci.org/b8db8a810fa2bc0868dfbc28b65c5dfe933d696f56febef7016835a51ed0588c",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/weiliang/actions/runs/28678664376"
    },
    {
      "r": "4.6.1",
      "os": "win",
      "version": "0.1.5",
      "date": "2026-07-03T19:01:46.000Z",
      "commit": "5d35bae5b61613f15a5ebffd2d2414a5b263256c",
      "fileid": "https://r2.ropensci.org/1d5afe0c577c97d81a2680be95f9aa8d73e7d22592651434c52a4d44506139fc",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/weiliang/actions/runs/28678664376"
    }
  ]
}