Estimation in Optimal Adaptive Two-Stage Designs

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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