as251Normal             Algorithm AS 251: Normal Distribution
as251StudentT           Algorithm AS 251: Student T Distribution
getAccrualTime          Get Accrual Time
getAnalysisResults      Get Analysis Results
getClosedCombinationTestResults
                        Get Closed Combination Test Results
getClosedConditionalDunnettTestResults
                        Get Closed Conditional Dunnett Test Results
getConditionalPower     Get Conditional Power
getConditionalRejectionProbabilities
                        Get Conditional Rejection Probabilities
getData                 Get Simulation Data
getDataset              Get Dataset
getDesignCharacteristics
                        Get Design Characteristics
getDesignConditionalDunnett
                        Get Design Conditional Dunnett Test
getDesignFisher         Get Design Fisher
getDesignGroupSequential
                        Get Design Group Sequential
getDesignInverseNormal
                        Get Design Inverse Normal
getDesignSet            Get Design Set
getEventProbabilities   Get Event Probabilities
getFinalConfidenceInterval
                        Get Final Confidence Interval
getFinalPValue          Get Final P Value
getFutilityBounds       Get Futility Bounds
getGroupSequentialProbabilities
                        Get Group Sequential Probabilities
getNumberOfSubjects     Get Number Of Subjects
getObservedInformationRates
                        Get Observed Information Rates
getOutputFormat         Get Output Format
getPerformanceScore     Get Performance Score
getPiecewiseSurvivalTime
                        Get Piecewise Survival Time
getPowerAndAverageSampleNumber
                        Get Power And Average Sample Number
getPowerCounts          Get Power Counts
getPowerMeans           Get Power Means
getPowerRates           Get Power Rates
getPowerSurvival        Get Power Survival
getRawData              Get Simulation Raw Data for Survival
getRepeatedConfidenceIntervals
                        Get Repeated Confidence Intervals
getRepeatedPValues      Get Repeated P Values
getSampleSizeCounts     Get Sample Size Counts
getSampleSizeMeans      Get Sample Size Means
getSampleSizeRates      Get Sample Size Rates
getSampleSizeSurvival   Get Sample Size Survival
getSimulationCounts     Get Simulation Counts
getSimulationEnrichmentMeans
                        Get Simulation Enrichment Means
getSimulationEnrichmentRates
                        Get Simulation Enrichment Rates
getSimulationEnrichmentSurvival
                        Get Simulation Enrichment Survival
getSimulationMeans      Get Simulation Means
getSimulationMultiArmMeans
                        Get Simulation Multi-Arm Means
getSimulationMultiArmRates
                        Get Simulation Multi-Arm Rates
getSimulationMultiArmSurvival
                        Get Simulation Multi-Arm Survival
getSimulationRates      Get Simulation Rates
getSimulationSurvival   Get Simulation Survival
getStageResults         Get Stage Results
getTestActions          Get Test Actions
knit_print.SummaryFactory
                        Print Summary Factory in Markdown Code Chunks
mvnprd                  Original Algorithm AS 251: Normal Distribution
mvstud                  Original Algorithm AS 251: Student T
                        Distribution
obtain                  Extract a single parameter
plot.AnalysisResults    Analysis Results Plotting
plot.Dataset            Dataset Plotting
plot.EventProbabilities
                        Event Probabilities Plotting
plot.NumberOfSubjects   Number Of Subjects Plotting
plot.ParameterSet       Parameter Set Plotting
plot.SimulationResults
                        Simulation Results Plotting
plot.StageResults       Stage Results Plotting
plot.SummaryFactory     Summary Factory Plotting
plot.TrialDesign        Trial Design Plotting
plot.TrialDesignPlan    Trial Design Plan Plotting
plot.TrialDesignSet     Trial Design Set Plotting
plot.TrialDesignSummaries
                        Plot Trial Design Summaries
plotTypes               Get Available Plot Types
print.SummaryFactory    Summary Factory Printing
print.TrialDesignCharacteristics
                        Trial Design Characteristics Printing
print.TrialDesignSummaries
                        Print Trial Design Summaries
rcmd                    Get Object R Code
readDataset             Read Dataset
readDatasets            Read Multiple Datasets
rpact                   rpact - Confirmatory Adaptive Clinical Trial
                        Design and Analysis
setOutputFormat         Set Output Format
testPackage             Test and Validate the rpact Package
                        Installation
utilitiesForPiecewiseExponentialDistribution
                        The Piecewise Exponential Distribution
writeDataset            Write Dataset
writeDatasets           Write Multiple Datasets
