Package: rpact 4.1.0

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

Uses libs:

c++– GNU Standard C++ Library v3

Datasets:

On CRAN:

adaptive-design analysis clinical-trials count-data group-sequential-designs power-calculation sample-size-calculation simulation validated

7.84 score 23 stars 1 packages 101 scripts 1.4k downloads 1 mentions 91 exports 8 dependencies

Last updated 1 months agofrom:1bcaa282f6. Checks:OK: 9. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Oct 27 2024
R-4.5-win-x86_64	OK	Oct 27 2024
R-4.5-linux-x86_64	OK	Oct 27 2024
R-4.4-win-x86_64	OK	Oct 27 2024
R-4.4-mac-x86_64	OK	Oct 27 2024
R-4.4-mac-aarch64	OK	Oct 27 2024
R-4.3-win-x86_64	OK	Oct 27 2024
R-4.3-mac-x86_64	OK	Oct 27 2024
R-4.3-mac-aarch64	OK	Oct 27 2024

Exports:as251Normal as251StudentT fetch getAccrualTime getAnalysisResults getAvailablePlotTypes getClosedCombinationTestResults getClosedConditionalDunnettTestResults getConditionalPower getConditionalRejectionProbabilities getData getData.SimulationResults getDataset getDataSet getDesignCharacteristics getDesignConditionalDunnett getDesignFisher getDesignGroupSequential getDesignInverseNormal getDesignSet getEventProbabilities getFinalConfidenceInterval getFinalPValue getGroupSequentialProbabilities getHazardRatioByPi getLambdaByMedian getLambdaByPi getLambdaStepFunction getLogLevel getLongFormat getMedianByLambda getMedianByPi getNumberOfSubjects getObjectRCode getObservedInformationRates getOutputFormat getParameterCaption getParameterName getParameterType getPerformanceScore getPiByLambda getPiByMedian getPiecewiseExponentialDistribution getPiecewiseExponentialQuantile getPiecewiseExponentialRandomNumbers getPiecewiseSurvivalTime getPlotSettings getPowerAndAverageSampleNumber getPowerCounts getPowerMeans getPowerRates getPowerSurvival getRawData getRepeatedConfidenceIntervals getRepeatedPValues getSampleSizeCounts getSampleSizeMeans getSampleSizeRates getSampleSizeSurvival getSimulationCounts getSimulationEnrichmentMeans getSimulationEnrichmentRates getSimulationEnrichmentSurvival getSimulationMeans getSimulationMultiArmMeans getSimulationMultiArmRates getSimulationMultiArmSurvival getSimulationRates getSimulationSurvival getStageResults getTestActions getWideFormat kable mvnprd mvstud obtain plotTypes ppwexp printCitation qpwexp rcmd readDataset readDatasets resetLogLevel rpwexp setLogLevel setOutputFormat test_plan_section testPackage writeDataset writeDatasets

Dependencies:evaluate highr knitr R6 Rcpp rlang xfun yaml

Getting started with rpact

Friedrich Pahlke and Gernot Wassmer

Rendered fromrpact_getting_started.Rmdusingknitr::rmarkdownon Oct 27 2024.

Last update: 2024-08-24
Started: 2022-07-15

Citation

Development and contributors

Readme and manuals

Help Manual

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