{
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  "Package": "Sequential",
  "Type": "Package",
  "Title": "Exact Sequential Analysis for Poisson and Binomial Data",
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  "Date": "2026-04-20",
  "Authors@R": "c(person(given=c(\"Ivair\", \"Ramos\"),\nfamily= \"Silva\", role=c(\"aut\",\"cre\"),\nemail= \"ivair@ufop.edu.br\"),\nperson(given= \"Martin\", family=\"Kulldorff\",role=\"aut\")\n)",
  "Maintainer": "Ivair Ramos Silva <ivair@ufop.edu.br>",
  "Description": "Functions to calculate exact critical values, statistical\npower, expected time to signal, and required sample sizes for\nperforming exact sequential analysis. All these calculations\ncan be done for either Poisson or binomial data, for continuous\nor group sequential analyses, and for different types of\nrejection boundaries. In case of group sequential analyses, the\ngroup sizes do not have to be specified in advance and the\nalpha spending can be arbitrarily settled. For regression\nversions of the methods, Monte Carlo and asymptotic methods are\nused.",
  "License": "GPL-2",
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  "NeedsCompilation": "no",
  "Packaged": {
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    "User": "root"
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  "Author": "Ivair Ramos Silva [aut, cre], Martin Kulldorff [aut]",
  "Repository": "https://cran.r-universe.dev",
  "Date/Publication": "2026-04-21 08:13:06 UTC",
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  "_exports": [
    "Analyze.Binomial",
    "Analyze.CondPoisson",
    "Analyze.Multinomial",
    "Analyze.Poisson",
    "Analyze.wBinomial",
    "AnalyzeRegression.Binomial",
    "AnalyzeRegression.CondPoisson",
    "AnalyzeRegression.Poisson",
    "AnalyzeSetUp.Binomial",
    "AnalyzeSetUp.CondPoisson",
    "AnalyzeSetUp.Multinomial",
    "AnalyzeSetUp.Poisson",
    "AnalyzeSetUp.wBinomial",
    "AnalyzeSetUpRegression.Binomial",
    "AnalyzeSetUpRegression.CondPoisson",
    "AnalyzeSetUpRegression.Poisson",
    "ConfidenceInterval.Binomial",
    "CV.Binomial",
    "CV.CondPoisson",
    "CV.Poisson",
    "Optimal.Binomial",
    "Performance.AlphaSpend.Binomial",
    "Performance.AlphaSpend.CondPoisson",
    "Performance.AlphaSpend.Poisson",
    "Performance.Binomial",
    "Performance.CondPoisson",
    "Performance.Poisson",
    "Performance.Threshold.Binomial",
    "Performance.Threshold.CondPoisson",
    "Performance.Threshold.Poisson",
    "SampleSize.Binomial",
    "SampleSize.CondPoisson",
    "SampleSize.Poisson"
  ],
  "_help": [
    {
      "page": "Sequential-package",
      "title": "Analysis Support, Critical Values, Power, Time to Signal and Sample Size for Sequential Analysis with Poisson and Binomial Data.",
      "topics": [
        "Sequential-package",
        "Sequential"
      ]
    },
    {
      "page": "Analyze.Binomial",
      "title": "Function for group sequential analyses for binomial data, without the need to know group sizes a priori.",
      "topics": [
        "Analyze.Binomial"
      ]
    },
    {
      "page": "Analyze.CondPoisson",
      "title": "Function to conduct group sequential analyses for conditional Poisson data without the need to know group sizes a priori.",
      "topics": [
        "Analyze.CondPoisson"
      ]
    },
    {
      "page": "Analyze.Multinomial",
      "title": "Function for group sequential analyses for multinomial data, without the need to know group sizes a priori.",
      "topics": [
        "Analyze.Multinomial"
      ]
    },
    {
      "page": "Analyze.Poisson",
      "title": "Function to conduct group sequential analyses for Poisson data without the need to know group sizes a priori.",
      "topics": [
        "Analyze.Poisson"
      ]
    },
    {
      "page": "Analyze.wBinomial",
      "title": "Function for group sequential analyses of multiple weighted binomial endpoints, without the need to know group sizes a priori.",
      "topics": [
        "Analyze.wBinomial"
      ]
    },
    {
      "page": "AnalyzeRegression.Binomial",
      "title": "Function for MaxSPRT regression analyses with binary/binomial data, without the need to know group sizes a priori.",
      "topics": [
        "AnalyzeRegression.Binomial"
      ]
    },
    {
      "page": "AnalyzeRegression.CondPoisson",
      "title": "Function for MaxSPRT regression analyses with conditional Poisson data, without the need to know group sizes a priori.",
      "topics": [
        "AnalyzeRegression.CondPoisson"
      ]
    },
    {
      "page": "AnalyzeRegression.Poisson",
      "title": "Function for MaxSPRT regression analyses with Poisson data, without the need to know group sizes a priori.",
      "topics": [
        "AnalyzeRegression.Poisson"
      ]
    },
    {
      "page": "AnalyzeSetUp.Binomial",
      "title": "Function to set up input parameters before using the 'Analyze.Binomial' function for the first time.",
      "topics": [
        "AnalyzeSetUp.Binomial"
      ]
    },
    {
      "page": "AnalyzeSetUp.CondPoisson",
      "title": "Function to set up input parameters before using the 'Analyze.CondPoisson' function for the first time.",
      "topics": [
        "AnalyzeSetUp.CondPoisson"
      ]
    },
    {
      "page": "AnalyzeSetUp.Multinomial",
      "title": "Function to set up input parameters before using the 'Analyze.Multinomial' function for the first time.",
      "topics": [
        "AnalyzeSetUp.Multinomial"
      ]
    },
    {
      "page": "AnalyzeSetUp.Poisson",
      "title": "Function to set up input parameters before using the 'Analyze.Poisson' function for the first time.",
      "topics": [
        "AnalyzeSetUp.Poisson"
      ]
    },
    {
      "page": "AnalyzeSetUp.wBinomial",
      "title": "Function to set up input parameters before using the 'Analyze.wBinomial' function for the first time.",
      "topics": [
        "AnalyzeSetUp.wBinomial"
      ]
    },
    {
      "page": "AnalyzeSetUpRegression.Binomial",
      "title": "Function to set up input parameters before using the 'AnalyzeRegression.Binomial' function for the first time.",
      "topics": [
        "AnalyzeSetUpRegression.Binomial"
      ]
    },
    {
      "page": "AnalyzeSetUpRegression.CondPoisson",
      "title": "Function to set up input parameters before using the 'AnalyzeRegression.CondPoisson' function for the first time.",
      "topics": [
        "AnalyzeSetUpRegression.CondPoisson"
      ]
    },
    {
      "page": "AnalyzeSetUpRegression.Poisson",
      "title": "Function to set up input parameters before using the 'AnalyzeRegression.Poisson' function for the first time.",
      "topics": [
        "AnalyzeSetUpRegression.Poisson"
      ]
    },
    {
      "page": "ConfidenceInterval.Binomial",
      "title": "Confidence Interval for the Relative Risk Following a Sequential Test with Binary Data.",
      "topics": [
        "ConfidenceInterval.Binomial"
      ]
    },
    {
      "page": "CV.Binomial",
      "title": "Calculates exact critical values for group and continuous sequential analysis with binomial data.",
      "topics": [
        "CV.Binomial"
      ]
    },
    {
      "page": "CV.CondPoisson",
      "title": "Critical values for continuous sequential CMaxSPRT for Poisson data with limited information from historical cohort.",
      "topics": [
        "CV.CondPoisson"
      ]
    },
    {
      "page": "CV.Poisson",
      "title": "Critical values for group and continuous sequential analysis with Poisson data.",
      "topics": [
        "CV.Poisson"
      ]
    },
    {
      "page": "Optimal.Binomial",
      "title": "Optimal alpha spending for minimizing expected time to signal for continuous and group sequential analysis with binomial data.",
      "topics": [
        "Optimal.Binomial"
      ]
    },
    {
      "page": "Performance.AlphaSpend.Binomial",
      "title": "Calculates performance and signaling threshold for user-defined alpha spending for sequential analysis with binomial data.",
      "topics": [
        "Performance.AlphaSpend.Binomial"
      ]
    },
    {
      "page": "Performance.AlphaSpend.CondPoisson",
      "title": "Calculates performance and signaling thresholds for user-defined alpha spending for sequential analysis with conditional Poisson data.",
      "topics": [
        "Performance.AlphaSpend.CondPoisson"
      ]
    },
    {
      "page": "Performance.AlphaSpend.Poisson",
      "title": "Calculates performance and signaling thresholds for user-defined alpha spending for sequential analysis with Poisson data.",
      "topics": [
        "Performance.AlphaSpend.Poisson"
      ]
    },
    {
      "page": "Performance.Binomial",
      "title": "Statistical power, expected time to signal and expected sample size for group and continuous sequential analysis with binomial data.",
      "topics": [
        "Performance.Binomial"
      ]
    },
    {
      "page": "Performance.CondPoisson",
      "title": "Statistical power, expected time to signal and expected sample size for the continuous sequential CMaxSPRT for Poisson data with limited information from historical cohort.",
      "topics": [
        "Performance.CondPoisson"
      ]
    },
    {
      "page": "Performance.Poisson",
      "title": "Calculates statistical power, expected time to signal and expected sample size for group and continuous sequential analysis with Poisson data.",
      "topics": [
        "Performance.Poisson"
      ]
    },
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      "topics": [
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      ]
    },
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        "Performance.Threshold.CondPoisson"
      ]
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    {
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      "title": "Performance and alpha spending for user-defined signaling threshold for sequential analysis with Poisson data.",
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        "Performance.Threshold.Poisson"
      ]
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      "title": "Sample size calculation for continuous sequential analysis with binomial data.",
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      ]
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      "title": "Sample size calculation for the continuous sequential CMaxSPRT for Poisson data with limited information from historical cohort.",
      "topics": [
        "SampleSize.CondPoisson"
      ]
    },
    {
      "page": "SampleSize.Poisson",
      "title": "Sample size calculation for continuous sequential analysis with Poisson data.",
      "topics": [
        "SampleSize.Poisson"
      ]
    }
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