{
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  "Package": "MedianaDesigner",
  "Type": "Package",
  "Title": "Power and Sample Size Calculations for Clinical Trials",
  "Version": "0.13",
  "Date": "2023-08-27",
  "Author": "Alex Dmitrienko [aut, cre]",
  "Authors@R": "c(\nperson(\"Alex\", \"Dmitrienko\", email = \"admitrienko@mediana.us\", role = c(\"aut\", \"cre\")))",
  "Maintainer": "Alex Dmitrienko <admitrienko@mediana.us>",
  "Description": "Efficient simulation-based power and sample size\ncalculations are supported for a broad class of late-stage\nclinical trials. The following modules are included in the\npackage: Adaptive designs with data-driven sample size or event\ncount re-estimation, Adaptive designs with data-driven\ntreatment selection, Adaptive designs with data-driven\npopulation selection, Optimal selection of a futility stopping\nrule, Event prediction in event-driven trials, Adaptive trials\nwith response-adaptive randomization (experimental module),\nTraditional trials with multiple objectives (experimental\nmodule). Traditional trials with cluster-randomized designs\n(experimental module).",
  "License": "GPL-3",
  "LazyLoad": "yes",
  "LazyData": "true",
  "NeedsCompilation": "yes",
  "Packaged": {
    "Date": "2026-06-01 10:33:52 UTC",
    "User": "root"
  },
  "URL": "https://github.com/medianasoft/MedianaDesigner",
  "BugReports": "https://github.com/medianasoft/MedianaDesigner/issues",
  "Config/pak/sysreqs": "libcairo2-dev cmake libfontconfig1-dev\nlibfreetype6-dev libfribidi-dev make libharfbuzz-dev libicu-dev\nlibjpeg-dev libpng-dev libtiff-dev libuv1-dev libwebp-dev\nlibxml2-dev libssl-dev zlib1g-dev",
  "Repository": "https://medianasoft.r-universe.dev",
  "Date/Publication": "2023-08-28 03:28:09 UTC",
  "RemoteUrl": "https://github.com/medianasoft/medianadesigner",
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    "ClustRandApp",
    "ClustRandGEEC",
    "ClustRandGLMEMR",
    "ClustRandReportDoc",
    "ClustRandSingleCore",
    "ComputeDRFunctionParameters",
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    "EventPredEventCount",
    "EventPredPriorDistribution",
    "EventPredR",
    "EventPredReportDoc",
    "EventPredRSingleCore",
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    "ExportTradMultAdj",
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    "FutRuleReportDoc",
    "FutRuleSingleCore",
    "GenerateReport",
    "MultAdj",
    "MultAdj1SingleCore",
    "MultAdjApp",
    "MultAdjReportDoc",
    "print.ADPopSelResults",
    "print.ADRandResults",
    "print.ADSSModResults",
    "print.ADTreatSelResults",
    "print.ClustRandResults",
    "print.EventPredResults",
    "print.FutRuleResults",
    "print.MultAdjResults",
    "ReportDoc"
  ],
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      "name": "EventPredData",
      "title": "Example data set for EventPred",
      "object": "EventPredData",
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      ],
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        "time",
        "event",
        "dropout"
      ],
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      "table": true,
      "tojson": true
    }
  ],
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    {
      "page": "MedianaDesigner-package",
      "title": "Efficient Simulation-Based Power and Sample Size Calculations for a Broad Class of Late-Stage Clinical Trials",
      "topics": [
        "MedianaDesigner-package",
        "MedianaDesigner"
      ]
    },
    {
      "page": "ADPopSel",
      "title": "Simulation-based design of adaptive trials with data-driven population selection",
      "topics": [
        "ADPopSel",
        "ADPopSelC",
        "ADPopSelSingleCore"
      ]
    },
    {
      "page": "ADPopSelApp",
      "title": "Graphical user interface to design an adaptive trial with data-driven population selection",
      "topics": [
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      ]
    },
    {
      "page": "ADPopSelExample1",
      "title": "Simulation-based design of an adaptive trial with population selection (normally distributed endpoint)",
      "topics": [
        "ADPopSelExample1"
      ]
    },
    {
      "page": "ADPopSelExample2",
      "title": "Simulation-based design of an adaptive trial with population selection (binary endpoint)",
      "topics": [
        "ADPopSelExample2"
      ]
    },
    {
      "page": "ADPopSelExample3",
      "title": "Simulation-based design of an adaptive trial with population selection (time-to-event endpoint)",
      "topics": [
        "ADPopSelExample3"
      ]
    },
    {
      "page": "ADRand",
      "title": "Simulation-based design of adaptive trials with response-adaptive randomization",
      "topics": [
        "ADRand",
        "ADRandC",
        "ADRandSingleCore",
        "ComputeDRFunctionParameters",
        "DRFunction"
      ]
    },
    {
      "page": "ADRandApp",
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      "topics": [
        "ADRandApp"
      ]
    },
    {
      "page": "ADRandExample",
      "title": "Simulation-based design of dose-finding Phase II trials with response-adaptive randomization (normally distributed endpoint)",
      "topics": [
        "ADRandExample"
      ]
    },
    {
      "page": "ADSSMod",
      "title": "Simulation-based design of adaptive trials with data-driven sample size or event count re-estimation",
      "topics": [
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        "ADSSModC",
        "ADSSModSingleCore"
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    },
    {
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      "title": "Graphical user interface to design an adaptive trial with data-driven sample size or event count re-estimation",
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    },
    {
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    },
    {
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    },
    {
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    },
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        "ADTreatSelC",
        "ADTreatSelSingleCore"
      ]
    },
    {
      "page": "ADTreatSelApp",
      "title": "Graphical user interface to design an adaptive trial with data-driven treatment selection",
      "topics": [
        "ADTreatSelApp"
      ]
    },
    {
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      "title": "Simulation-based design of an adaptive trial with treatment selection (normally distributed endpoint)",
      "topics": [
        "ADTreatSelExample1"
      ]
    },
    {
      "page": "ADTreatSelExample2",
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      "topics": [
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      ]
    },
    {
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      "title": "Simulation-based design of an adaptive trial with treatment selection (time-to-event endpoint)",
      "topics": [
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      ]
    },
    {
      "page": "ClustRand",
      "title": "Simulation-based design of cluster-randomized trials",
      "topics": [
        "ClustRand",
        "ClustRandC",
        "ClustRandGEEC",
        "ClustRandGLMEMR",
        "ClustRandSingleCore",
        "ExportRandomClusterSize"
      ]
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    {
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      "title": "Graphical user interface to design a cluster-randomized trial",
      "topics": [
        "ClustRandApp"
      ]
    },
    {
      "page": "ClustRandExample1",
      "title": "Simulation-based design of a cluster-randomized trial (normally distributed endpoint)",
      "topics": [
        "ClustRandExample1"
      ]
    },
    {
      "page": "ClustRandExample2",
      "title": "Simulation-based design of a cluster-randomized trial (binary endpoint)",
      "topics": [
        "ClustRandExample2"
      ]
    },
    {
      "page": "EventPred",
      "title": "Simulation-based event prediction in trials with an event-driven design",
      "topics": [
        "EventPred",
        "EventPredEventCount",
        "EventPredR",
        "EventPredRSingleCore"
      ]
    },
    {
      "page": "EventPredApp",
      "title": "Graphical user interface for event prediction in trials with an event-driven design",
      "topics": [
        "EventPredApp"
      ]
    },
    {
      "page": "EventPredData",
      "title": "Example data set for EventPred",
      "topics": [
        "EventPredData"
      ]
    },
    {
      "page": "EventPredExample",
      "title": "Simulation-based event prediction in trials with an event-driven design (time-to- event endpoint)",
      "topics": [
        "EventPredExample"
      ]
    },
    {
      "page": "EventPredPriorDistribution",
      "title": "Calculation of the parameters of prior gamma distributions",
      "topics": [
        "EventPredPriorDistribution"
      ]
    },
    {
      "page": "FutRule",
      "title": "Simulation-based selection of an optimal futility stopping rule at an interim analysis",
      "topics": [
        "FutRule",
        "FutRuleC",
        "FutRuleSingleCore"
      ]
    },
    {
      "page": "FutRuleApp",
      "title": "Graphical user interface for an optimal selection of a futility stopping rule at an interim analysis",
      "topics": [
        "FutRuleApp"
      ]
    },
    {
      "page": "FutRuleExample1",
      "title": "Simulation-based selection of an optimal futility stopping rule (normally distributed endpoint)",
      "topics": [
        "FutRuleExample1"
      ]
    },
    {
      "page": "FutRuleExample2",
      "title": "Simulation-based selection of an optimal futility stopping rule (binary endpoint)",
      "topics": [
        "FutRuleExample2"
      ]
    },
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      "page": "FutRuleExample3",
      "title": "Simulation-based selection of an optimal futility stopping rule (time-to-event endpoint)",
      "topics": [
        "FutRuleExample3"
      ]
    },
    {
      "page": "GenerateReport",
      "title": "Simulation report",
      "topics": [
        "ADPopSelReportDoc",
        "ADRandReportDoc",
        "ADSSModReportDoc",
        "ADTreatSelReportDoc",
        "ClustRandReportDoc",
        "EventPredReportDoc",
        "FutRuleReportDoc",
        "GenerateReport",
        "MultAdjReportDoc",
        "print.ADPopSelResults",
        "print.ADRandResults",
        "print.ADSSModResults",
        "print.ADTreatSelResults",
        "print.ClustRandResults",
        "print.EventPredResults",
        "print.FutRuleResults",
        "print.MultAdjResults",
        "ReportDoc"
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    },
    {
      "page": "MultAdj",
      "title": "Simulation-based design of traditional trials with multiple objectives",
      "topics": [
        "ExportTradMultAdj",
        "MultAdj",
        "MultAdj1SingleCore",
        "MultAdjC"
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      "page": "MultAdjApp",
      "title": "Graphical user interface for power calculations in traditional trials with multiple objectives",
      "topics": [
        "MultAdjApp"
      ]
    },
    {
      "page": "MultAdjExample1",
      "title": "Simulation-based power calculations in Phase III trials with multiple dose-placebo comparisons",
      "topics": [
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      ]
    },
    {
      "page": "MultAdjExample2",
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      "topics": [
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