Man pages for adestr
Estimation in Optimal Adaptive Two-Stage Designs
| adestr | adestr |
| analyze | Analyze a dataset |
| c2_extrapol | Calculate the second-stage critical value for a design with... |
| c-EstimatorScoreResultList-method | Combine EstimatoreScoreResult objects into a list |
| c-EstimatorScoreResult-method | Combine EstimatoreScoreResult objects into a list |
| EstimatorScore-class | Performance scores for point and interval estimators |
| evaluate_estimator | Evaluate performance characteristics of an estimator |
| evaluate_estimator-methods | Evaluate performance characteristics of an estimator |
| evaluate_scenarios_parallel | Evaluate different scenarios in parallel |
| 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_statistics_from_paper | Generate the list of estimators and p-values that were used... |
| IntervalEstimator-class | Interval estimators |
| n2_extrapol | Calculate the second-stage sample size for a design with... |
| NormalPrior | Normal prior distribution for the parameter mu |
| plot-EstimatorScoreResultList-method | Plot performance scores for point and interval estimators |
| plot-EstimatorScoreResult-method | Plot performance scores for point and interval estimators |
| plot-list-method | Plot performance scores for point and interval estimators |
| plot_p | Plot p-values and implied rejection boundaries |
| PointEstimator-class | Point estimators |
| PValue-class | P-values |
| Statistic-class | Statistics and Estimators of the adestr package |
| TwoStageDesignWithCache | TwoStageDesignWithCache constructor function |
| UniformPrior | Uniform prior distribution for the parameter mu |
