{
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  "Package": "adoptr",
  "Type": "Package",
  "Title": "Adaptive Optimal Two-Stage Designs",
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  "Authors@R": "c(person(\"Kevin\", \"Kunzmann\", role = c(\"aut\", \"cph\"), email = \"kevin.kunzmann@boehringer-ingelheim.com\",comment = c(ORCID = \"0000-0002-1140-7143\")),\nperson(\"Maximilian\", \"Pilz\", role = c(\"aut\", \"cre\"), email = \"maximilian.pilz@th-nuernberg.de\", comment = c(ORCID = \"0000-0002-9685-1613\")),\nperson(\"Jan\", \"Meis\", role = c(\"aut\"), email = \"meis@imbi.uni-heidelberg.de\", comment = c(ORCID = \"0000-0001-5407-7220\")),\nperson(\"Nico\", \"Bruder\", role = c(\"aut\"), email = \"bruder@imbi.uni-heidelberg.de\", comment = c(ORCID = \"0009-0004-9522-2075\")))",
  "Description": "Optimize one or two-arm, two-stage designs for clinical\ntrials with respect to several implemented objective criteria\nor custom objectives. Optimization under uncertainty and\nconditional (given stage-one outcome) constraints are\nsupported. See Pilz et al. (2019) <doi:10.1002/sim.8291> and\nKunzmann et al. (2021) <doi:10.18637/jss.v098.i09> for details.",
  "License": "MIT + file LICENSE",
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  "Collate": "'DataDistribution.R' 'BinomialDistribution.R'\n'ChiSquaredDistribution.R' 'Prior.R' 'TwoStageDesign.R'\n'OneStageDesign.R' 'util.R' 'Scores.R' 'CompositeScore.R'\n'ConditionalPower.R' 'ConditionalSampleSize.R'\n'ContinuousPrior.R' 'FDistribution.R' 'GroupSequentialDesign.R'\n'MaximumSampleSize.R' 'NormalDistribution.R' 'PointMassPrior.R'\n'StudentDistribution.R' 'Survival.R' 'adoptr.R' 'constraints.R'\n'minimize.R' 'regularization.R'",
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  "BugReports": "https://github.com/optad/adoptr/issues",
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  "Repository": "https://optad.r-universe.dev",
  "Date/Publication": "2026-05-06 17:42:23 UTC",
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  "Author": "Kevin Kunzmann [aut, cph] (ORCID:\n<https://orcid.org/0000-0002-1140-7143>),\nMaximilian Pilz [aut, cre] (ORCID:\n<https://orcid.org/0000-0002-9685-1613>),\nJan Meis [aut] (ORCID: <https://orcid.org/0000-0001-5407-7220>),\nNico Bruder [aut] (ORCID: <https://orcid.org/0009-0004-9522-2075>)",
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  "_created": "2026-05-06T19:48:32.000Z",
  "_published": "2026-05-22T15:27:14.109Z",
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    "ANOVA",
    "AverageN2",
    "Binomial",
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    "c2",
    "ChiSquared",
    "composite",
    "condition",
    "ConditionalPower",
    "ConditionalSampleSize",
    "ContinuousPrior",
    "cumulative_distribution_function",
    "evaluate",
    "expectation",
    "expected",
    "ExpectedNumberOfEvents",
    "ExpectedSampleSize",
    "get_initial_design",
    "get_lower_boundary_design",
    "get_tau_ANOVA",
    "get_tau_Pearson2xK",
    "get_tau_ZSquared",
    "get_upper_boundary_design",
    "GroupSequentialDesign",
    "make_fixed",
    "make_tunable",
    "MaximumSampleSize",
    "minimize",
    "n",
    "n1",
    "N1",
    "n2",
    "NestedModels",
    "Normal",
    "OneStageDesign",
    "Pearson2xK",
    "plot",
    "PointMassPrior",
    "posterior",
    "Power",
    "predictive_cdf",
    "predictive_pdf",
    "probability_density_function",
    "quantile",
    "simulate",
    "Student",
    "subject_to",
    "summary",
    "Survival",
    "SurvivalDesign",
    "tunable_parameters",
    "TwoStageDesign",
    "update",
    "ZSquared"
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    {
      "page": "adoptr",
      "title": "Adaptive Optimal Two-Stage Designs",
      "topics": [
        "adoptr-package",
        "adoptr"
      ]
    },
    {
      "page": "ANOVA-class",
      "title": "Analysis of Variance",
      "topics": [
        "ANOVA",
        "ANOVA-class",
        "get_tau_ANOVA"
      ]
    },
    {
      "page": "AverageN2-class",
      "title": "Regularization via L1 norm",
      "topics": [
        "AverageN2",
        "AverageN2-class",
        "evaluate,AverageN2,TwoStageDesign-method"
      ]
    },
    {
      "page": "BinomialDataDistribution-class",
      "title": "Binomial data distribution",
      "topics": [
        "Binomial",
        "Binomial-class",
        "quantile,Binomial-method",
        "simulate,Binomial,numeric-method"
      ]
    },
    {
      "page": "bounds",
      "title": "Get support of a prior or data distribution",
      "topics": [
        "bounds",
        "bounds,ContinuousPrior-method",
        "bounds,PointMassPrior-method"
      ]
    },
    {
      "page": "critical-values",
      "title": "Query critical values of a design",
      "topics": [
        "c2",
        "c2,OneStageDesign,numeric-method",
        "c2,TwoStageDesign,numeric-method"
      ]
    },
    {
      "page": "ChiSquaredDataDistribution-class",
      "title": "Chi-Squared data distribution",
      "topics": [
        "ChiSquared",
        "ChiSquared-class",
        "quantile,ChiSquared-method",
        "simulate,ChiSquared,numeric-method"
      ]
    },
    {
      "page": "composite",
      "title": "Score Composition",
      "topics": [
        "composite",
        "evaluate,CompositeScore,TwoStageDesign-method"
      ]
    },
    {
      "page": "condition",
      "title": "Condition a prior on an interval",
      "topics": [
        "condition",
        "condition,ContinuousPrior,numeric-method",
        "condition,PointMassPrior,numeric-method"
      ]
    },
    {
      "page": "ConditionalPower-class",
      "title": "(Conditional) Power of a Design",
      "topics": [
        "ConditionalPower",
        "ConditionalPower-class",
        "evaluate,ConditionalPower,TwoStageDesign-method",
        "Power"
      ]
    },
    {
      "page": "ConditionalSampleSize-class",
      "title": "(Conditional) Sample Size of a Design",
      "topics": [
        "ConditionalSampleSize",
        "ConditionalSampleSize-class",
        "evaluate,ConditionalSampleSize,TwoStageDesign-method",
        "ExpectedNumberOfEvents",
        "ExpectedSampleSize"
      ]
    },
    {
      "page": "Constraints",
      "title": "Formulating Constraints",
      "topics": [
        "<=,ConditionalScore,ConditionalScore-method",
        "<=,ConditionalScore,numeric-method",
        "<=,numeric,ConditionalScore-method",
        "<=,numeric,UnconditionalScore-method",
        "<=,UnconditionalScore,numeric-method",
        "<=,UnconditionalScore,UnconditionalScore-method",
        ">=,ConditionalScore,ConditionalScore-method",
        ">=,ConditionalScore,numeric-method",
        ">=,numeric,ConditionalScore-method",
        ">=,numeric,UnconditionalScore-method",
        ">=,UnconditionalScore,numeric-method",
        ">=,UnconditionalScore,UnconditionalScore-method",
        "Constraints",
        "evaluate,Constraint,TwoStageDesign-method"
      ]
    },
    {
      "page": "ContinuousPrior-class",
      "title": "Continuous univariate prior distributions",
      "topics": [
        "ContinuousPrior",
        "ContinuousPrior-class"
      ]
    },
    {
      "page": "cumulative_distribution_function",
      "title": "Cumulative distribution function",
      "topics": [
        "cumulative_distribution_function",
        "cumulative_distribution_function,Binomial,numeric,numeric,numeric-method",
        "cumulative_distribution_function,ChiSquared,numeric,numeric,numeric-method",
        "cumulative_distribution_function,NestedModels,numeric,numeric,numeric-method",
        "cumulative_distribution_function,Normal,numeric,numeric,numeric-method",
        "cumulative_distribution_function,Student,numeric,numeric,numeric-method",
        "cumulative_distribution_function,Survival,numeric,numeric,numeric-method"
      ]
    },
    {
      "page": "DataDistribution-class",
      "title": "Data distributions",
      "topics": [
        "DataDistribution",
        "DataDistribution-class"
      ]
    },
    {
      "page": "expectation",
      "title": "Expected value of a function",
      "topics": [
        "expectation",
        "expectation,ContinuousPrior,function-method",
        "expectation,PointMassPrior,function-method"
      ]
    },
    {
      "page": "get_initial_design",
      "title": "Initial design",
      "topics": [
        "get_initial_design"
      ]
    },
    {
      "page": "boundary-designs",
      "title": "Boundary designs",
      "topics": [
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        "get_lower_boundary_design,GroupSequentialDesign-method",
        "get_lower_boundary_design,OneStageDesign-method",
        "get_lower_boundary_design,TwoStageDesign-method",
        "get_upper_boundary_design",
        "get_upper_boundary_design,GroupSequentialDesign-method",
        "get_upper_boundary_design,OneStageDesign-method",
        "get_upper_boundary_design,TwoStageDesign-method"
      ]
    },
    {
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      "title": "Group-sequential two-stage designs",
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        "GroupSequentialDesign,numeric-method",
        "GroupSequentialDesign-class",
        "TwoStageDesign,GroupSequentialDesign-method",
        "TwoStageDesign,GroupSequentialDesignSurvival-method"
      ]
    },
    {
      "page": "GroupSequentialDesignSurvival-class",
      "title": "Group-sequential two-stage designs for time-to-event-endpoints",
      "topics": [
        "GroupSequentialDesignSurvival-class"
      ]
    },
    {
      "page": "make_tunable",
      "title": "Fix parameters during optimization",
      "topics": [
        "make_fixed",
        "make_fixed,TwoStageDesign-method",
        "make_tunable",
        "make_tunable,TwoStageDesign-method"
      ]
    },
    {
      "page": "MaximumSampleSize-class",
      "title": "Maximum Sample Size of a Design",
      "topics": [
        "evaluate,MaximumSampleSize,TwoStageDesign-method",
        "MaximumSampleSize",
        "MaximumSampleSize-class"
      ]
    },
    {
      "page": "minimize",
      "title": "Find optimal two-stage design by constraint minimization",
      "topics": [
        "minimize"
      ]
    },
    {
      "page": "n",
      "title": "Query sample size of a design",
      "topics": [
        "n",
        "n,TwoStageDesign,numeric-method",
        "n1",
        "n1,TwoStageDesign-method",
        "n2",
        "n2,GroupSequentialDesign,numeric-method",
        "n2,OneStageDesign,numeric-method",
        "n2,TwoStageDesign,numeric-method"
      ]
    },
    {
      "page": "N1-class",
      "title": "Regularize n1",
      "topics": [
        "evaluate,N1,TwoStageDesign-method",
        "N1",
        "N1-class"
      ]
    },
    {
      "page": "NestedModels-class",
      "title": "F-Distribution",
      "topics": [
        "NestedModels",
        "NestedModels-class",
        "quantile,NestedModels-method",
        "simulate,NestedModels,numeric-method"
      ]
    },
    {
      "page": "NormalDataDistribution-class",
      "title": "Normal data distribution",
      "topics": [
        "Normal",
        "Normal-class",
        "quantile,Normal-method",
        "simulate,Normal,numeric-method"
      ]
    },
    {
      "page": "OneStageDesign-class",
      "title": "One-stage designs",
      "topics": [
        "OneStageDesign",
        "OneStageDesign,numeric-method",
        "OneStageDesign-class",
        "plot,OneStageDesign-method",
        "TwoStageDesign,OneStageDesign-method",
        "TwoStageDesign,OneStageDesignSurvival-method"
      ]
    },
    {
      "page": "OneStageDesignSurvival-class",
      "title": "One-stage designs for time-to-event endpoints",
      "topics": [
        "OneStageDesignSurvival-class"
      ]
    },
    {
      "page": "Pearson2xK-class",
      "title": "Pearson's chi-squared test for contingency tables",
      "topics": [
        "get_tau_Pearson2xK",
        "Pearson2xK",
        "Pearson2xK-class"
      ]
    },
    {
      "page": "plot-TwoStageDesign-method",
      "title": "Plot 'TwoStageDesign' with optional set of conditional scores",
      "topics": [
        "plot,TwoStageDesign-method"
      ]
    },
    {
      "page": "PointMassPrior-class",
      "title": "Univariate discrete point mass priors",
      "topics": [
        "PointMassPrior",
        "PointMassPrior-class"
      ]
    },
    {
      "page": "posterior",
      "title": "Compute posterior distribution",
      "topics": [
        "posterior",
        "posterior,DataDistribution,ContinuousPrior,numeric-method",
        "posterior,DataDistribution,PointMassPrior,numeric-method"
      ]
    },
    {
      "page": "predictive_cdf",
      "title": "Predictive CDF",
      "topics": [
        "predictive_cdf",
        "predictive_cdf,DataDistribution,ContinuousPrior,numeric-method",
        "predictive_cdf,DataDistribution,PointMassPrior,numeric-method"
      ]
    },
    {
      "page": "predictive_pdf",
      "title": "Predictive PDF",
      "topics": [
        "predictive_pdf",
        "predictive_pdf,DataDistribution,ContinuousPrior,numeric-method",
        "predictive_pdf,DataDistribution,PointMassPrior,numeric-method"
      ]
    },
    {
      "page": "print.adoptrOptimizationResult",
      "title": "Printing an optimization result",
      "topics": [
        "print",
        "print.adoptrOptimizationResult"
      ]
    },
    {
      "page": "Prior-class",
      "title": "Univariate prior on model parameter",
      "topics": [
        "Prior",
        "Prior-class"
      ]
    },
    {
      "page": "probability_density_function",
      "title": "Probability density function",
      "topics": [
        "probability_density_function",
        "probability_density_function,Binomial,numeric,numeric,numeric-method",
        "probability_density_function,ChiSquared,numeric,numeric,numeric-method",
        "probability_density_function,NestedModels,numeric,numeric,numeric-method",
        "probability_density_function,Normal,numeric,numeric,numeric-method",
        "probability_density_function,Student,numeric,numeric,numeric-method",
        "probability_density_function,Survival,numeric,numeric,numeric-method"
      ]
    },
    {
      "page": "Scores",
      "title": "Scores",
      "topics": [
        "evaluate",
        "evaluate,IntegralScore,TwoStageDesign-method",
        "expected",
        "expected,ConditionalScore-method",
        "Scores"
      ]
    },
    {
      "page": "simulate-TwoStageDesign-numeric-method",
      "title": "Draw samples from a two-stage design",
      "topics": [
        "simulate,TwoStageDesign,numeric-method"
      ]
    },
    {
      "page": "StudentDataDistribution-class",
      "title": "Student's t data distribution",
      "topics": [
        "quantile,Student-method",
        "simulate,Student,numeric-method",
        "Student",
        "Student-class"
      ]
    },
    {
      "page": "subject_to",
      "title": "Create a collection of constraints",
      "topics": [
        "ConstraintCollection",
        "evaluate,ConstraintsCollection,TwoStageDesign-method",
        "subject_to"
      ]
    },
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