R: Estimation in Optimal Adaptive Two-Stage Designs

# Estimation in Optimal Adaptive Two-Stage Designs

## Documentation for package ‘adestr’ version 0.5.0

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Package NEWS.

## 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
NeymanPearsonOrderingCI | Interval estimators
NeymanPearsonOrderingPValue | P-values
Normal | Normally distributed data with known variance
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
Student | Normally distributed data with unknown variance
TestAgreement | Performance scores for point and interval estimators
TwoStageDesign-class | Re-export of two-stage design class
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