Confirmatory Adaptive Clinical Trial Design and Analysis

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Documentation for package ‘rpact’ version 4.0.0

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

Help Pages

A F G K M O P Q R S T U W

rpact-package

rpact - Confirmatory Adaptive Clinical Trial Design and Analysis

-- A --

as251Normal	Algorithm AS 251: Normal Distribution
as251StudentT	Algorithm AS 251: Student T Distribution

-- F --

fetch	Extract a single parameter
fetch.ParameterSet	Extract a single parameter

-- G --

getAccrualTime	Get Accrual Time
getAnalysisResults	Get Analysis Results
getAvailablePlotTypes	Get Available Plot Types
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
getData.SimulationResults	Get Simulation Data
getDataSet	Get Dataset
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
getGroupSequentialProbabilities	Get Group Sequential Probabilities
getHazardRatioByPi	Survival Helper Functions for Conversion of Pi, Lambda, Median
getLambdaByMedian	Survival Helper Functions for Conversion of Pi, Lambda, Median
getLambdaByPi	Survival Helper Functions for Conversion of Pi, Lambda, Median
getMedianByLambda	Survival Helper Functions for Conversion of Pi, Lambda, Median
getMedianByPi	Survival Helper Functions for Conversion of Pi, Lambda, Median
getNumberOfSubjects	Get Number Of Subjects
getObjectRCode	Get Object R Code
getObservedInformationRates	Get Observed Information Rates
getOutputFormat	Get Output Format
getPerformanceScore	Get Performance Score
getPiByLambda	Survival Helper Functions for Conversion of Pi, Lambda, Median
getPiByMedian	Survival Helper Functions for Conversion of Pi, Lambda, Median
getPiecewiseExponentialDistribution	The Piecewise Exponential Distribution
getPiecewiseExponentialQuantile	The Piecewise Exponential Distribution
getPiecewiseExponentialRandomNumbers	The Piecewise Exponential Distribution
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
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

-- K --

kable	Create output in Markdown
kable.ParameterSet	Create output in Markdown
kableParameterSet	Create output in Markdown
knit_print.ParameterSet	Print Parameter Set in Markdown Code Chunks
knit_print.SummaryFactory	Print Summary Factory in Markdown Code Chunks

-- M --

mvnprd	Original Algorithm AS 251: Normal Distribution
mvstud	Original Algorithm AS 251: Student T Distribution

-- O --

obtain	Extract a single parameter
obtain.ParameterSet	Extract a single parameter

-- P --

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.TrialDesignCharacteristics	Trial Design Plotting
plot.TrialDesignPlan	Trial Design Plan Plotting
plot.TrialDesignSet	Trial Design Set Plotting
plotTypes	Get Available Plot Types
ppwexp	The Piecewise Exponential Distribution
print.SummaryFactory	Summary Factory Printing
print.TrialDesignCharacteristics	Trial Design Characteristics Printing
pull	Extract a single parameter
pull.ParameterSet	Extract a single parameter

-- Q --

qpwexp

The Piecewise Exponential Distribution

-- R --

rcmd	Get Object R Code
readDataset	Read Dataset
readDatasets	Read Multiple Datasets
rpact	rpact - Confirmatory Adaptive Clinical Trial Design and Analysis
rpwexp	The Piecewise Exponential Distribution

-- S --

setOutputFormat

Set Output Format

-- T --

testPackage

Test Package

-- U --

utilitiesForPiecewiseExponentialDistribution	The Piecewise Exponential Distribution
utilitiesForSurvivalTrials	Survival Helper Functions for Conversion of Pi, Lambda, Median

-- W --

writeDataset	Write Dataset
writeDatasets	Write Multiple Datasets