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  "Package": "rPowerSampleSize",
  "Type": "Package",
  "Title": "Sample Size Computations Controlling the Type-II Generalized\nFamily-Wise Error Rate",
  "Version": "1.0.2",
  "Date": "2018-05-10",
  "License": "GPL (> 2)",
  "LazyLoad": "yes",
  "Author": "Pierre Lafaye de Micheaux, Benoit Liquet and Jeremie Riou",
  "Maintainer": "Pierre Lafaye de Micheaux <lafaye@unsw.edu.au>",
  "Description": "The significance of mean difference tests in clinical\ntrials is established if at least r null hypotheses are\nrejected among m that are simultaneously tested. This package\nenables one to compute necessary sample sizes for single-step\n(Bonferroni) and step-wise procedures (Holm and Hochberg).\nThese three procedures control the q-generalized family-wise\nerror rate (probability of making at least q false rejections).\nSample size is computed (for these single-step and step-wise\nprocedures) in a such a way that the r-power (probability of\nrejecting at least r false null hypotheses, i.e. at least r\nsignificant endpoints among m) is above some given threshold,\nin the context of tests of difference of means for two groups\nof continuous endpoints (variables). Various types of structure\nof correlation are considered. It is also possible to analyse\ndata (i.e., actually test difference in means) when these are\navailable. The case r equals 1 is treated in separate functions\nthat were used in Lafaye de Micheaux et al. (2014)\n<doi:10.1080/10543406.2013.860156>.",
  "Packaged": {
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  "NeedsCompilation": "no",
  "Repository": "https://lafaye.r-universe.dev",
  "Date/Publication": "2018-05-10 11:16:42 UTC",
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    "author": "Pierre Lafaye de Micheaux <lafaye@unsw.edu.au>",
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    "message": "version 1.0.2\n",
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  "_owner": "cran",
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      "date": "2015-11-28"
    },
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      "date": "2016-01-13"
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      "title": "Simulated data",
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        "A"
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  "_help": [
    {
      "page": "rPowerSampleSize-package",
      "title": "Sample Size Computation and Data Analysis in the context of multiple continuous endpoints in clinical trials.",
      "topics": [
        "rPowerSampleSize-package",
        "rPowerSampleSize"
      ]
    },
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      "page": "bonferroni.1m.ssc",
      "title": "Sample Size Computation with Single Step Bonferroni Method in the Context of Multiple Continuous Endpoints.",
      "topics": [
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      ]
    },
    {
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      "title": "Computation of the complexity of the numerical computations.",
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      ]
    },
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      "topics": [
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        "data.sim"
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      "topics": [
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      ]
    },
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      "title": "Data analysis with a global method in the context of multiple continuous endpoints",
      "topics": [
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    },
    {
      "page": "global.1m.ssc",
      "title": "Sample Size Computation Based on a Global Procedure in the Context of Multiple Continuous Endpoints",
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      "title": "Data analysis with an individual testing procedure in the context of multiple continuous endpoints",
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        "indiv.1m.analysis",
        "test.indiv"
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    },
    {
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      "title": "Sample size computation with an individual testing procedure in the context of multiple continuous endpoints",
      "topics": [
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        "indiv.1m.ssc",
        "known.ssc",
        "unknown.ssc"
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    },
    {
      "page": "indiv.analysis",
      "title": "Data analysis using an individual testing procedure controlling the q-gFWER in the context of m multiple continuous endpoints",
      "topics": [
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      "title": "Monte carlo computation of power.",
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      "title": "Plot of an rPower object",
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