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ANOVA() get_tau_ANOVA()
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Analysis of Variance |
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AverageN2() evaluate(<AverageN2>,<TwoStageDesign>)
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Regularization via L1 norm |
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Binomial() quantile(<Binomial>) simulate(<Binomial>,<numeric>)
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Binomial data distribution |
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ChiSquared() quantile(<ChiSquared>) simulate(<ChiSquared>,<numeric>)
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Chi-Squared data distribution |
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ConditionalPower() Power() evaluate(<ConditionalPower>,<TwoStageDesign>)
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(Conditional) Power of a Design |
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ConditionalSampleSize() ExpectedSampleSize() ExpectedNumberOfEvents() evaluate(<ConditionalSampleSize>,<TwoStageDesign>)
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(Conditional) Sample Size of a Design |
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evaluate(<Constraint>,<TwoStageDesign>) `<=`(<ConditionalScore>,<numeric>) `>=`(<ConditionalScore>,<numeric>) `<=`(<numeric>,<ConditionalScore>) `>=`(<numeric>,<ConditionalScore>) `<=`(<ConditionalScore>,<ConditionalScore>) `>=`(<ConditionalScore>,<ConditionalScore>) `<=`(<UnconditionalScore>,<numeric>) `>=`(<UnconditionalScore>,<numeric>) `<=`(<numeric>,<UnconditionalScore>) `>=`(<numeric>,<UnconditionalScore>) `<=`(<UnconditionalScore>,<UnconditionalScore>) `>=`(<UnconditionalScore>,<UnconditionalScore>)
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Formulating Constraints |
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ContinuousPrior()
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Continuous univariate prior distributions |
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DataDistribution-class DataDistribution
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Data distributions |
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GroupSequentialDesign() TwoStageDesign(<GroupSequentialDesign>) TwoStageDesign(<GroupSequentialDesignSurvival>)
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Group-sequential two-stage designs |
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GroupSequentialDesignSurvival-class
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Group-sequential two-stage designs for time-to-event-endpoints |
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MaximumSampleSize() evaluate(<MaximumSampleSize>,<TwoStageDesign>)
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Maximum Sample Size of a Design |
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N1() evaluate(<N1>,<TwoStageDesign>)
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Regularize n1 |
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NestedModels() quantile(<NestedModels>) simulate(<NestedModels>,<numeric>)
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F-Distribution |
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Normal() quantile(<Normal>) simulate(<Normal>,<numeric>)
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Normal data distribution |
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OneStageDesign() TwoStageDesign(<OneStageDesign>) TwoStageDesign(<OneStageDesignSurvival>) plot(<OneStageDesign>)
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One-stage designs |
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OneStageDesignSurvival-class
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One-stage designs for time-to-event endpoints |
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Pearson2xK() get_tau_Pearson2xK()
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Pearson's chi-squared test for contingency tables |
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PointMassPrior()
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Univariate discrete point mass priors |
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Prior-class Prior
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Univariate prior on model parameter |
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expected() evaluate()
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Scores |
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Student() quantile(<Student>) simulate(<Student>,<numeric>)
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Student's t data distribution |
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Survival() quantile(<Survival>) simulate(<Survival>,<numeric>)
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Log-rank test |
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SurvivalDesign() TwoStageDesign(<TwoStageDesign>) OneStageDesign(<OneStageDesign>) GroupSequentialDesign(<GroupSequentialDesign>)
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SurvivalDesign |
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TwoStageDesign() summary(<TwoStageDesign>)
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Two-stage designs |
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TwoStageDesignSurvival-class
|
Two-stage design for time-to-event-endpoints |
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ZSquared() get_tau_ZSquared()
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Distribution class of a squared normal distribution |
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adoptr
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Adaptive Optimal Two-Stage Designs |
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get_lower_boundary_design() get_upper_boundary_design()
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Boundary designs |
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bounds()
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Get support of a prior or data distribution |
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composite() evaluate(<CompositeScore>,<TwoStageDesign>)
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Score Composition |
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condition()
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Condition a prior on an interval |
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c2()
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Query critical values of a design |
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cumulative_distribution_function()
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Cumulative distribution function |
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expectation expectation,ContinuousPrior,function-method expectation,PointMassPrior,function-method
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Expected value of a function |
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get_initial_design()
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Initial design |
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make_tunable() make_fixed()
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Fix parameters during optimization |
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minimize()
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Find optimal two-stage design by constraint minimization |
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n1() n2() n()
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Query sample size of a design |
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plot(<TwoStageDesign>)
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Plot TwoStageDesign with optional set of conditional scores |
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posterior()
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Compute posterior distribution |
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predictive_cdf()
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Predictive CDF |
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predictive_pdf()
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Predictive PDF |
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print()
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Printing an optimization result |
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probability_density_function()
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Probability density function |
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simulate(<TwoStageDesign>,<numeric>)
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Draw samples from a two-stage design |
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subject_to() evaluate(<ConstraintsCollection>,<TwoStageDesign>)
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Create a collection of constraints |
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tunable_parameters() update(<TwoStageDesign>) update(<OneStageDesign>)
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Switch between numeric and S4 class representation of a design |