Package index • rpact

All functions

TrialComparison: Trial Comparison
add(): Add Objects to a Collection
as.data.frame(<PiecewiseSurvivalTimeMultiGroup>): Coerce a Multi-Group Piecewise Survival Specification to a Data Frame
as.data.frame(<TrialComparison>): Trial Comparison Data Frame
as251Normal(): Algorithm AS 251: Normal Distribution
as251StudentT(): Algorithm AS 251: Student T Distribution
delete(): Delete an Object from a Collection
`[[`(<TrialComparison>) `$`(<TrialComparison>): Access Objects in a Trial Comparison
obtain() fetch(): Extract a single parameter
fetch(<TrialComparison>): Fetch Objects from a Trial Comparison
getAccrualTime(): Get Accrual Time
getAnalysisResults(): Get Analysis Results
plotTypes() getAvailablePlotTypes(): Get Available Plot Types
getClosedCombinationTestResults(): Get Closed Combination Test Results
getClosedConditionalDunnettTestResults(): Get Closed Conditional Dunnett Test Results
getComparison() length(<TrialComparison>) names(<TrialComparison>): Compare Existing Trial Planning Objects
getComparisonParameterDescriptions(): Describe Comparison Parameters
getComparisonParameterNames(): Select Comparison Parameters
getComparisonPlotParameters(): Select Parameters for a Comparison Plot
getConditionalPower(): Get Conditional Power
getConditionalRejectionProbabilities(): Get Conditional Rejection Probabilities
getData() getData.SimulationResults(): Get Simulation Data
getDataset() getDataSet(): Get Dataset
getDesignCharacteristics(): Get Design Characteristics
getDesignConditionalDunnett(): Get Design Conditional Dunnett Test
getDesignFisher(): Get Design Fisher
getDesignFixed(): Get Fixed Design
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
getFisherInformation(): Get Fisher Information From a Design Plan or Simulation Results
getFutilityBounds(): Get Futility Bounds
getGroupSequentialProbabilities(): Get Group Sequential Probabilities
getNumberOfSubjects(): Get Number Of Subjects
rcmd() getObjectRCode(): Get Object R Code
getObjects(): Get Objects from a Collection
getObservedInformationRates(): Get Observed Information Rates
getOutputFormat(): Get Output Format
getPerformanceScore(): Get Performance Score
getPiecewiseHazardRatioArray(): Create an Array of Piecewise Hazard Ratios
getPiecewiseSurvivalTime(): Get Piecewise Survival Time
getPiecewiseSurvivalTimeEnrichment(): Piecewise Exponential Enrichment Survival Time
getPiecewiseSurvivalTimeMultiArm(): Piecewise Exponential Multi-Arm 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
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(<TrialComparison>) plot(<TrialComparisonSummary>): Plot a Trial Comparison
plot(<TrialDesign>) plot(<TrialDesignCharacteristics>): Trial Design Plotting
plot(<TrialDesignPlan>): Trial Design Plan Plotting
plot(<TrialDesignSet>): Trial Design Set Plotting
plot(<TrialDesignSummaries>): Plot Trial Design Summaries
print(<SummaryFactory>): Summary Factory Printing
print(<TrialComparison>): Print a Trial Comparison
print(<TrialDesignCharacteristics>): Trial Design Characteristics Printing
print(<TrialDesignSummaries>): Print Trial Design Summaries
readDataset(): Read Dataset
readDatasets(): Read Multiple Datasets
rpact-package rpact: rpact - Confirmatory Adaptive Clinical Trial Design and Analysis
setOutputFormat(): Set Output Format
summary(<TrialComparison>): Summarize Differences Between Trial Planning Objects
testPackage(): Test and Validate the rpact Package Installation
getPiecewiseExponentialDistribution() ppwexp() getPiecewiseExponentialQuantile() qpwexp() getPiecewiseExponentialRandomNumbers() rpwexp(): The Piecewise Exponential Distribution
writeDataset(): Write Dataset
writeDatasets(): Write Multiple Datasets