Estimation in Optimal Adaptive Two-Stage Designs
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Documentation for package ‘adestr’ version 1.0.0
Help Pages
| adestr-package | adestr |
| AdaptivelyWeightedSampleMean | Point estimators |
| adestr | adestr |
| analyze | Analyze a dataset |
| analyze-method | Analyze a dataset |
| Bias | Performance scores for point and interval estimators |
| BiasReduced | Point estimators |
| c-method | Combine EstimatoreScoreResult objects into a list |
| c-method | Combine EstimatoreScoreResult objects into a list |
| c2_extrapol | Calculate the second-stage critical value for a design with cached spline parameters |
| Centrality | Performance scores for point and interval estimators |
| ConfidenceInterval | Interval estimators |
| ConfidenceInterval-class | Interval estimators |
| Coverage | Performance scores for point and interval estimators |
| Estimator | Statistics and Estimators of the adestr package |
| EstimatorScore | Performance scores for point and interval estimators |
| EstimatorScore-class | Performance scores for point and interval estimators |
| evaluate_estimator | Evaluate performance characteristics of an estimator |
| evaluate_estimator-method | Evaluate performance characteristics of an estimator |
| evaluate_estimator-methods | Evaluate performance characteristics of an estimator |
| evaluate_scenarios_parallel | Evaluate different scenarios in parallel |
| Expectation | Performance scores for point and interval estimators |
| FirstStageSampleMean | Point estimators |
| get_example_design | Generate an exemplary adaptive design |
| get_example_statistics | Generate a list of estimators and p-values to use in examples |
| get_stagewise_estimators | Conditional representations of an estimator or p-value |
| get_stagewise_estimators-method | Conditional representations of an estimator or p-value |
| get_statistics_from_paper | Generate the list of estimators and p-values that were used in the paper |
| IntervalEstimator | Interval estimators |
| IntervalEstimator-class | Interval estimators |
| LikelihoodRatioOrderingCI | Interval estimators |
| LikelihoodRatioOrderingPValue | P-values |
| LinearShiftRepeatedPValue | P-values |
| MedianUnbiasedLikelihoodRatioOrdering | Point estimators |
| MedianUnbiasedMLEOrdering | Point estimators |
| MedianUnbiasedNeymanPearsonOrdering | Point estimators |
| MedianUnbiasedScoreTestOrdering | Point estimators |
| MedianUnbiasedStagewiseCombinationFunctionOrdering | Point estimators |
| MidpointLikelihoodRatioOrderingCI | Point estimators |
| MidpointMLEOrderingCI | Point estimators |
| MidpointNeymanPearsonOrderingCI | Point estimators |
| MidpointScoreTestOrderingCI | Point estimators |
| MidpointStagewiseCombinationFunctionOrderingCI | Point estimators |
| MinimizePeakVariance | Point estimators |
| MLEOrderingCI | Interval estimators |
| MLEOrderingPValue | P-values |
| MSE | Performance scores for point and interval estimators |
| n2_extrapol | Calculate the second-stage sample size for a design with cached spline parameters |
| NaiveCI | Interval estimators |
| NaivePValue | P-values |
| NeymanPearsonOrderingCI | Interval estimators |
| NeymanPearsonOrderingPValue | P-values |
| NormalPrior | Normal prior distribution for the parameter mu |
| OverestimationProbability | Performance scores for point and interval estimators |
| plot-method | Plot performance scores for point and interval estimators |
| plot-method | Plot performance scores for point and interval estimators |
| plot-method | Plot performance scores for point and interval estimators |
| plot_p | Plot p-values and implied rejection boundaries |
| PointEstimator | Point estimators |
| PointEstimator-class | Point estimators |
| PseudoRaoBlackwell | Point estimators |
| PValue | P-values |
| PValue-class | P-values |
| RaoBlackwell | Point estimators |
| RepeatedCI | Interval estimators |
| SampleMean | Point estimators |
| ScoreTestOrderingCI | Interval estimators |
| ScoreTestOrderingPValue | P-values |
| SoftCoverage | Performance scores for point and interval estimators |
| StagewiseCombinationFunctionOrderingCI | Interval estimators |
| StagewiseCombinationFunctionOrderingPValue | P-values |
| Statistic | Statistics and Estimators of the adestr package |
| Statistic-class | Statistics and Estimators of the adestr package |
| Statistics | Statistics and Estimators of the adestr package |
| TestAgreement | Performance scores for point and interval estimators |
| TwoStageDesignWithCache | TwoStageDesignWithCache constructor function |
| UniformPrior | Uniform prior distribution for the parameter mu |
| Variance | Performance scores for point and interval estimators |
| WeightedSampleMean | Point estimators |
| Width | Performance scores for point and interval estimators |