Package: rpact 4.1.1.9283

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 (2016) <doi:10.1007/978-3-319-32562-0>. 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], Stephen Schueuerhuis [ctb], Tobias Muetze [ctb]

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rpact.pdf |rpact.html✨
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 site:https://rpact-com.github.io

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

On CRAN:

Conda-Forge:

adaptive-designanalysisclinical-trialscount-datagroup-sequential-designspower-calculationsample-size-calculationsimulationvalidatedfortrancpp

7.98 score 25 stars 1 packages 110 scripts 1.4k downloads 1 mentions 96 exports 8 dependencies

Last updated 10 hours agofrom:2a146b69ec. Checks:12 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 06 2025
R-4.5-win-x86_64OKMar 06 2025
R-4.5-mac-x86_64OKMar 06 2025
R-4.5-mac-aarch64OKMar 06 2025
R-4.5-linux-x86_64OKMar 06 2025
R-4.4-win-x86_64OKMar 06 2025
R-4.4-mac-x86_64OKMar 06 2025
R-4.4-mac-aarch64OKMar 06 2025
R-4.4-linux-x86_64OKMar 06 2025
R-4.3-win-x86_64OKMar 06 2025
R-4.3-mac-x86_64OKMar 06 2025
R-4.3-mac-aarch64OKMar 06 2025

Exports:as251Normalas251StudentTfetchgetAccrualTimegetAnalysisResultsgetAvailablePlotTypesgetClosedCombinationTestResultsgetClosedConditionalDunnettTestResultsgetConditionalPowergetConditionalRejectionProbabilitiesgetDatagetData.SimulationResultsgetDatasetgetDataSetgetDesignCharacteristicsgetDesignConditionalDunnettgetDesignFishergetDesignGroupSequentialgetDesignInverseNormalgetDesignSetgetEventProbabilitiesgetFinalConfidenceIntervalgetFinalPValuegetGroupSequentialProbabilitiesgetHazardRatioByPigetLambdaByMediangetLambdaByPigetLambdaStepFunctiongetLogLevelgetLongFormatgetMedianByLambdagetMedianByPigetNumberOfSubjectsgetObjectRCodegetObservedInformationRatesgetOutputFormatgetParameterCaptiongetParameterNamegetParameterTypegetPerformanceScoregetPiByLambdagetPiByMediangetPiecewiseExponentialDistributiongetPiecewiseExponentialQuantilegetPiecewiseExponentialRandomNumbersgetPiecewiseSurvivalTimegetPlotSettingsgetPowerAndAverageSampleNumbergetPowerCountsgetPowerMeansgetPowerRatesgetPowerSurvivalgetRawDatagetRepeatedConfidenceIntervalsgetRepeatedPValuesgetSampleSizeCountsgetSampleSizeMeansgetSampleSizeRatesgetSampleSizeSurvivalgetSimulationCountsgetSimulationEnrichmentMeansgetSimulationEnrichmentRatesgetSimulationEnrichmentSurvivalgetSimulationMeansgetSimulationMultiArmMeansgetSimulationMultiArmRatesgetSimulationMultiArmSurvivalgetSimulationRatesgetSimulationSurvivalgetStageResultsgetSystemIdentifiergetTestActionsgetWideFormatkableMarkdownReportermvnprdmvstudobtainplotTypesppwexpprintCitationqpwexprcmdreadDatasetreadDatasetsresetLogLevelresetOptionsrpwexpsaveOptionssetLogLevelsetOutputFormatsetupPackageTeststest_plan_sectiontestPackagewriteDatasetwriteDatasets

Dependencies:evaluatehighrknitrR6Rcpprlangxfunyaml

Getting started with rpact

Friedrich Pahlke and Gernot Wassmer

Rendered fromrpact_getting_started.Rmdusingknitr::rmarkdownon Mar 06 2025.

Last update: 2025-03-04
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 Design Group SequentialgetDesignGroupSequential
Get Design Inverse NormalgetDesignInverseNormal
Get Design SetgetDesignSet
Get Event ProbabilitiesgetEventProbabilities
Get Final Confidence IntervalgetFinalConfidenceInterval
Get Final P ValuegetFinalPValue
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
Survival Helper Functions for Conversion of Pi, Lambda, MediangetHazardRatioByPi getLambdaByMedian getLambdaByPi getMedianByLambda getMedianByPi getPiByLambda getPiByMedian utilitiesForSurvivalTrials
Write DatasetwriteDataset
Write Multiple DatasetswriteDatasets