Package: rpact 4.4.0.9305

Friedrich Pahlke

rpact: Confirmatory Adaptive Clinical Trial Design and Analysis

Design and analysis of confirmatory adaptive clinical trials with continuous, binary, and survival endpoints according to the methods described in the monograph by Wassmer and Brannath (2025) <doi:10.1007/978-3-031-89669-9>. This includes classical group sequential as well as multi-stage adaptive hypotheses tests that are based on the combination testing principle.

Authors:Gernot Wassmer [aut], Friedrich Pahlke [aut, cre], Till Jensen [ctb], Daniel Sabanes Bove [ctb], Stephen Schueuerhuis [ctb], Tobias Muetze [ctb], RPACT GmbH [cph, fnd]

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manual.pdf |manual.html✨
card.svg |card.png
rpact/json (API)
NEWS

# Install 'rpact' in R:
install.packages('rpact', repos = c('https://rpact-com.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/rpact-com/rpact/issues

Pkgdown/docs site:https://docs.rpact.org

Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

adaptive-designanalysisclinical-trialscount-datagroup-sequential-designsgxppower-calculationsample-size-calculationsimulationvalidatedcpp

9.37 score 37 stars 4 packages 218 scripts 2.0k downloads 1 mentions 110 exports 8 dependencies

Last updated from:cf2ea6f3cd. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK292
linux-devel-x86_64OK285
source / vignettesOK332
linux-release-arm64OK283
linux-release-x86_64OK274
macos-release-arm64OK219
macos-release-x86_64OK484
macos-oldrel-arm64OK294
macos-oldrel-x86_64OK430
windows-develOK308
windows-releaseOK282
windows-oldrelOK327
wasm-releaseOK137

Exports:as251Normalas251StudentTcheckInstallationQualificationStatusdisableStartupMessagesenableStartupMessagesfetchgetAccrualTimegetAnalysisResultsgetAvailablePlotTypesgetClosedCombinationTestResultsgetClosedConditionalDunnettTestResultsgetConditionalPowergetConditionalRejectionProbabilitiesgetDatagetData.SimulationResultsgetDatasetgetDataSetgetDesignCharacteristicsgetDesignConditionalDunnettgetDesignFishergetDesignFixedgetDesignGroupSequentialgetDesignInverseNormalgetDesignSetgetEventProbabilitiesgetFinalConfidenceIntervalgetFinalPValuegetFutilityBoundsgetGroupSequentialProbabilitiesgetHazardRatioByLambdagetHazardRatioByMediangetHazardRatioByPigetLambda1ByLambda2AndHazardRatiogetLambda2ByLambda1AndHazardRatiogetLambdaByMediangetLambdaByPigetLambdaStepFunctiongetLogLevelgetLongFormatgetMedianByLambdagetMedianByPigetNumberOfSubjectsgetObjectRCodegetObservedInformationRatesgetOutputFormatgetParameterCaptiongetParameterNamegetParameterTypegetPerformanceScoregetPi1ByPi2AndHazardRatiogetPi2ByPi1AndHazardRatiogetPiByLambdagetPiByMediangetPiecewiseExponentialDistributiongetPiecewiseExponentialQuantilegetPiecewiseExponentialRandomNumbersgetPiecewiseSurvivalTimegetPlotSettingsgetPowerAndAverageSampleNumbergetPowerCountsgetPowerMeansgetPowerRatesgetPowerSurvivalgetRawDatagetRepeatedConfidenceIntervalsgetRepeatedPValuesgetSampleSizeCountsgetSampleSizeMeansgetSampleSizeRatesgetSampleSizeSurvivalgetSimulationCountsgetSimulationEnrichmentMeansgetSimulationEnrichmentRatesgetSimulationEnrichmentSurvivalgetSimulationMeansgetSimulationMultiArmMeansgetSimulationMultiArmRatesgetSimulationMultiArmSurvivalgetSimulationRatesgetSimulationSurvivalgetStageResultsgetSystemIdentifiergetTestActionsgetTestLabelgetWideFormatkableMarkdownReportermvnprdmvstudobtainplotTypesppwexpprintCitationqpwexprcmdreadDatasetreadDatasetsreadKeyValueFileresetLogLevelresetOptionsrpwexpsaveOptionssetLogLevelsetOutputFormatsetupPackageTeststest_plan_sectiontestPackagewriteDatasetwriteDatasetswriteKeyValueFile

Dependencies:evaluatehighrknitrR6Rcpprlangxfunyaml

Getting started with rpact

Friedrich Pahlke and Gernot Wassmer

Rendered fromrpact_getting_started.Rmdusingknitr::rmarkdownon Jun 15 2026.

Last update: 2026-06-15
Started: 2022-07-15

Readme and manuals

Help Manual

Help pageTopics
Algorithm AS 251: Normal Distributionas251Normal
Algorithm AS 251: Student T Distributionas251StudentT
Get Accrual TimegetAccrualTime
Get Analysis ResultsgetAnalysisResults
Get Closed Combination Test ResultsgetClosedCombinationTestResults
Get Closed Conditional Dunnett Test ResultsgetClosedConditionalDunnettTestResults
Get Conditional PowergetConditionalPower
Get Conditional Rejection ProbabilitiesgetConditionalRejectionProbabilities
Get Simulation DatagetData getData.SimulationResults
Get DatasetgetDataSet getDataset
Get Design CharacteristicsgetDesignCharacteristics
Get Design Conditional Dunnett TestgetDesignConditionalDunnett
Get Design FishergetDesignFisher
Get Fixed DesigngetDesignFixed
Get Design Group SequentialgetDesignGroupSequential
Get Design Inverse NormalgetDesignInverseNormal
Get Design SetgetDesignSet
Get Event ProbabilitiesgetEventProbabilities
Get Final Confidence IntervalgetFinalConfidenceInterval
Get Final P ValuegetFinalPValue
Get Futility BoundsgetFutilityBounds
Get Group Sequential ProbabilitiesgetGroupSequentialProbabilities
Get Number Of SubjectsgetNumberOfSubjects
Get Observed Information RatesgetObservedInformationRates
Get Output FormatgetOutputFormat
Get Performance ScoregetPerformanceScore
Get Piecewise Survival TimegetPiecewiseSurvivalTime
Get Power And Average Sample NumbergetPowerAndAverageSampleNumber
Get Power CountsgetPowerCounts
Get Power MeansgetPowerMeans
Get Power RatesgetPowerRates
Get Power SurvivalgetPowerSurvival
Get Simulation Raw Data for SurvivalgetRawData
Get Repeated Confidence IntervalsgetRepeatedConfidenceIntervals
Get Repeated P ValuesgetRepeatedPValues
Get Sample Size CountsgetSampleSizeCounts
Get Sample Size MeansgetSampleSizeMeans
Get Sample Size RatesgetSampleSizeRates
Get Sample Size SurvivalgetSampleSizeSurvival
Get Simulation CountsgetSimulationCounts
Get Simulation Enrichment MeansgetSimulationEnrichmentMeans
Get Simulation Enrichment RatesgetSimulationEnrichmentRates
Get Simulation Enrichment SurvivalgetSimulationEnrichmentSurvival
Get Simulation MeansgetSimulationMeans
Get Simulation Multi-Arm MeansgetSimulationMultiArmMeans
Get Simulation Multi-Arm RatesgetSimulationMultiArmRates
Get Simulation Multi-Arm SurvivalgetSimulationMultiArmSurvival
Get Simulation RatesgetSimulationRates
Get Simulation SurvivalgetSimulationSurvival
Get Stage ResultsgetStageResults
Get Test ActionsgetTestActions
Print Summary Factory in Markdown Code Chunksknit_print.SummaryFactory
Original Algorithm AS 251: Normal Distributionmvnprd
Original Algorithm AS 251: Student T Distributionmvstud
Extract a single parameterfetch fetch.ParameterSet obtain obtain.ParameterSet
Analysis Results Plottingplot.AnalysisResults
Dataset Plottingplot.Dataset
Event Probabilities Plottingplot.EventProbabilities
Number Of Subjects Plottingplot.NumberOfSubjects
Parameter Set Plottingplot.ParameterSet
Simulation Results Plottingplot.SimulationResults
Stage Results Plottingplot.StageResults
Summary Factory Plottingplot.SummaryFactory
Trial Design Plottingplot.TrialDesign plot.TrialDesignCharacteristics
Trial Design Plan Plottingplot.TrialDesignPlan
Trial Design Set Plottingplot.TrialDesignSet
Plot Trial Design Summariesplot.TrialDesignSummaries
Get Available Plot TypesgetAvailablePlotTypes plotTypes
Summary Factory Printingprint.SummaryFactory
Trial Design Characteristics Printingprint.TrialDesignCharacteristics
Print Trial Design Summariesprint.TrialDesignSummaries
Get Object R CodegetObjectRCode rcmd
Read DatasetreadDataset
Read Multiple DatasetsreadDatasets
rpact - Confirmatory Adaptive Clinical Trial Design and Analysisrpact-package rpact
Set Output FormatsetOutputFormat
Test and Validate the rpact Package InstallationtestPackage
The Piecewise Exponential DistributiongetPiecewiseExponentialDistribution getPiecewiseExponentialQuantile getPiecewiseExponentialRandomNumbers ppwexp qpwexp rpwexp utilitiesForPiecewiseExponentialDistribution
Write DatasetwriteDataset
Write Multiple DatasetswriteDatasets