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rpact

Confirmatory Adaptive Clinical Trial Design, Simulation, and Analysis.

Functional Range

  • Sample size and power calculation for
    • means (continuous endpoint)
    • rates (binary endpoint)
    • survival trials with
      • piecewise accrual time and intensity
      • piecewise exponential survival time
      • survival times that follow a Weibull distribution
  • Fixed sample design and designs with interim analysis stages
  • Simulation tool for means, rates, and survival data
    • Assessment of adaptive sample size/event number recalculations based on conditional power
    • Assessment of treatment selection strategies in multi-arm trials
  • Adaptive analysis of means, rates, and survival data
  • Adaptive designs and analysis for multi-arm trials
  • Adaptive analysis tools for enrichment design testing means, rates, and hazard ratios
  • Automatic boundary recalculations during the trial for analysis with alpha spending approach, including under- and over-running

Installation

Install the latest CRAN release via

install.packages("rpact")

Documentation

The documentation is hosted at https://www.rpact.org

Vignettes

The vignettes are hosted at https://www.rpact.org/vignettes

The rpact user group

The rpact project has an active user group consisting of decision-makers and users from the pharmaceutical industry and CROs, who meet regularly and, e.g., discuss best practices.

We invite you to be part of the rpact user group: benefit from know-how, shape open source development in Pharma!

Use on corporate computer systems

Please contact us to learn how to use rpact on FDA/GxP-compliant validated corporate computer systems and how to get a copy of the formal validation documentation that is customized and licensed for exclusive use by your company, e.g., to fulfill regulatory requirements. The validation documentation contains the personal access data for performing the installation qualification with testPackage().

www.rpact.com/contact

About

  • rpact is a comprehensive validated[1] R package for clinical research which
    • enables the design and analysis of confirmatory adaptive group sequential designs
    • is a powerful sample size calculator
    • is a free of charge open-source software licensed under LGPL-3
    • particularly, implements the methods described in the recent monograph by Wassmer and Brannath (2016)

For more information please visit www.rpact.org

  • RPACT is a company which offers
    • enterprise software development services
    • technical support for the rpact package
    • consultancy and user training for clinical research using R
    • validated software solutions and R package development for clinical research

For more information please visit www.rpact.com

  1. The rpact validation documentation is available exclusively for our customers and supporting members. For more information visit www.rpact.com/services/sla

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Version

Install

install.packages('rpact')

Monthly Downloads

1,194

Version

3.1.1

License

LGPL-3

Maintainer

Friedrich Pahlke

Last Published

August 27th, 2021

Functions in rpact (3.1.1)

AccrualTime

Accrual Time
AnalysisResults

Basic Class for Analysis Results
Dataset_print

Print Dataset Values
ConditionalPowerResults

Conditional Power Results
DatasetSurvival

Dataset of Survival Data
Dataset

Dataset
SimulationResultsMeans

Class for Simulation Results Means
StageResults

Basic Stage Results
SimulationResultsMultiArmMeans

Class for Simulation Results Multi-Arm Means
TrialDesignCharacteristics

Trial Design Characteristics
StageResultsMeans

Stage Results of Means
TrialDesignCharacteristics_as.data.frame

Coerce TrialDesignCharacteristics to a Data Frame
dataMultiArmMeans

Multi-Arm Dataset of Means
TrialDesignSet_as.data.frame

Coerce Trial Design Set to a Data Frame
TrialDesignSet_length

Length of Trial Design Set
dataMultiArmRates

Multi-Arm Dataset of Rates
AnalysisResultsGroupSequential

Analysis Results Group Sequential
AnalysisResultsMultiArmInverseNormal

Analysis Results Multi-Arm Inverse Normal
AnalysisResultsInverseNormal

Analysis Results Inverse Normal
AnalysisResultsMultiHypotheses

Basic Class for Analysis Results Multi-Hypotheses
FieldSet

Field Set
ParameterSet_summary

Parameter Set Summary
SimulationResultsMultiArmRates

Class for Simulation Results Multi-Arm Rates
FieldSet_names

Names of a Field Set Object
SimulationResultsMultiArmSurvival

Class for Simulation Results Multi-Arm Survival
PiecewiseSurvivalTime

Piecewise Exponential Survival Time
StageResults_as.data.frame

Coerce Stage Results to a Data Frame
AnalysisResultsMultiArm

Basic Class for Analysis Results Multi-Arm
AnalysisResultsMultiArmFisher

Analysis Results Multi-Arm Fisher
getAnalysisResults

Get Analysis Results
StageResults_names

Names of a Stage Results Object
AnalysisResults_summary

Analysis Results Summary
AnalysisResultsConditionalDunnett

Analysis Results Multi-Arm Conditional Dunnett
plotTypes

Get Available Plot Types
getDesignFisher

Get Design Fisher
AnalysisResultsEnrichmentInverseNormal

Analysis Results Enrichment Inverse Normal
AnalysisResultsFisher

Analysis Results Fisher
AnalysisResults_as.data.frame

Coerce AnalysisResults to a Data Frame
FieldSet_print

Print Field Set Values
AnalysisResultsEnrichment

Basic Class for Analysis Results Enrichment
FrameSet_as.matrix

Coerce Frame Set to a Matrix
AnalysisResults_names

Names of a Analysis Results Object
TrialDesignPlanSurvival

Trial Design Plan Survival
TrialDesignPlanRates

Trial Design Plan Rates
ClosedCombinationTestResults

Analysis Results Closed Combination Test
PlotSettings

Plot Settings
getDesignGroupSequential

Get Design Group Sequential
getOutputFormat

Get Output Format
getObservedInformationRates

Get Observed Information Rates
DatasetMeans

Dataset of Means
dataEnrichmentSurvivalStratified

Stratified Enrichment Dataset of Survival Data
getRepeatedPValues

Get Repeated P Values
NumberOfSubjects

Number Of Subjects
dataMultiArmSurvival

Multi-Arm Dataset of Survival Data
getEventProbabilities

Get Event Probabilities
dataMeans

One-Arm Dataset of Means
dataRates

One-Arm Dataset of Rates
EventProbabilities

Event Probabilities
Dataset_summary

Dataset Summary
DatasetRates

Dataset of Rates
SimulationResultsRates

Class for Simulation Results Rates
ParameterSet

Parameter Set
PowerAndAverageSampleNumberResult_as.data.frame

Coerce Power And Average Sample Number Result to a Data Frame
PowerAndAverageSampleNumberResult

Power and Average Sample Number Result
SimulationResultsSurvival

Class for Simulation Results Survival
getSampleSizeMeans

Get Sample Size Means
TrialDesignGroupSequential

Group Sequential Design
SimulationResults

Class for Simulation Results
TrialDesignInverseNormal

Inverse Normal Design
TrialDesign

Basic Trial Design
TrialDesignPlan

Basic Trial Design Plan
dataEnrichmentMeansStratified

Stratified Enrichment Dataset of Means
SummaryFactory

Summary Factory
dataEnrichmentRates

Enrichment Dataset of Rates
TrialDesignPlanMeans

Trial Design Plan Means
getSimulationMultiArmRates

Get Simulation Multi-Arm Rates
getSimulationMultiArmSurvival

Get Simulation Multi-Arm Survival
kable

Create tables in Markdown
dataEnrichmentSurvival

Enrichment Dataset of Survival Data
getDesignConditionalDunnett

Get Design Conditional Dunnett Test
getDesignCharacteristics

Get Design Characteristics
getFinalConfidenceInterval

Get Final Confidence Interval
getLongFormat

Get Long Format
dataEnrichmentRatesStratified

Stratified Enrichment Dataset of Rates
param_calcSubjectsFunction

Parameter Description: Calculate Subjects Function
getLogLevel

Get Log Level
param_accrualIntensity

Parameter Description: Accrual Intensity
param_conditionalPower

Parameter Description: Conditional Power
param_epsilonValue

Parameter Description: EpsilonValue
getRawData

Get Simulation Raw Data for Survival
getRepeatedConfidenceIntervals

Get Repeated Confidence Intervals
getStageResults

Get Stage Results
getNumberOfSubjects

Get Number Of Subjects
param_alternative_simulation

Parameter Description: Alternative for Simulation
getTestActions

Get Test Actions
param_adaptations

Parameter Description: Adaptations
param_activeArms

Parameter Description: Active Arms
StageResultsRates

Stage Results of Rates
ParameterSet_as.data.frame

Coerce Parameter Set to a Data Frame
param_beta

Parameter Description: Beta
rcmd

Get Object R Code
param_eventTime

Parameter Description: Event Time
getPowerRates

Get Power Rates
getSimulationRates

Get Simulation Rates
getPowerSurvival

Get Power Survival
TrialDesignSet_names

Names of a Trial Design Set Object
getSimulationSurvival

Get Simulation Survival
ParameterSet_print

Print Parameter Set Values
param_accrualIntensityType

Parameter Description: Accrual Intensity Type
SimulationResults_names

Names of a Simulation Results Object
SimulationResults_print

Print Simulation Results
param_accrualTime

Parameter Description: Accrual Time
param_design

Parameter Description: Design
param_alpha

Parameter Description: Alpha
getClosedCombinationTestResults

Get Closed Combination Test Results
TrialDesign_as.data.frame

Coerce TrialDesign to a Data Frame
param_lambda2

Parameter Description: Lambda (2)
getClosedConditionalDunnettTestResults

Get Closed Conditional Dunnett Test Results
getData

Get Simulation Data
getFinalPValue

Get Final P Value
getDataset

Get Dataset
param_design_with_default

Parameter Description: Design with Default
getAccrualTime

Get Accrual Time
param_alternative

Parameter Description: Alternative
dataSurvival

One-Arm Dataset of Survival Data
getDesignSet

Get Design Set
getDesignInverseNormal

Get Design Inverse Normal
getLambdaStepFunction

Get Lambda Step Function
getPowerMeans

Get Power Means
getPowerAndAverageSampleNumber

Get Power And Average Sample Number
param_intersectionTest_MultiArm

Parameter Description: Intersection Test
StageResultsSurvival

Stage Results of Survival Data
getSampleSizeSurvival

Get Sample Size Survival
getSampleSizeRates

Get Sample Size Rates
param_legendPosition

Parameter Description: Legend Position On Plots
param_bindingFutility

Parameter Description: Binding Futility
param_calcEventsFunction

Parameter Description: Calculate Events Function
param_dropoutTime

Parameter Description: Dropout Time
param_includeAllParameters

Parameter Description: Include All Parameters
param_median1

Parameter Description: Median (1)
param_median2

Parameter Description: Median (2)
param_kMax

Parameter Description: Maximum Number of Stages
param_effectList

Parameter Description: Effect List
param_minNumberOfEventsPerStage

Parameter Description: Min Number Of Events Per Stage
param_effectMeasure

Parameter Description: Effect Measure
param_informationEpsilon

Parameter Description: Information Epsilon
param_effectMatrix

Parameter Description: Effect Matrix
getPiecewiseSurvivalTime

Get Piecewise Survival Time
TrialDesignFisher

Fisher Design
plot.AnalysisResults

Analysis Results Plotting
param_varianceOption

Parameter Description: Variance Option
TrialDesignConditionalDunnett

Conditional Dunnett Design
TrialDesignSet

Class for trial design sets.
TrialDesignPlan_as.data.frame

Coerce Trial Design Plan to a Data Frame
param_pi2_survival

Parameter Description: Pi (2) for Survival Data
plot.TrialDesignPlan

Trial Design Plan Plotting
Trial_Design_Set_summary

Trial Design Set Summary
param_piecewiseSurvivalTime

Parameter Description: Piecewise Survival Time
dataEnrichmentMeans

Enrichment Dataset of Means
getPlotSettings

Get Plot Settings
param_maxNumberOfIterations

Parameter Description: Maximum Number Of Iterations
param_informationRates

Parameter Description: Information Rates
param_nPlanned

Parameter Description: N Planned
param_intersectionTest_Enrichment

Parameter Description: Intersection Test
param_nMax

Parameter Description: N_max
param_maxNumberOfSubjects

Parameter Description: Maximum Number Of Subjects
param_pi1_rates

Parameter Description: Pi (1) for Rates
param_selectArmsFunction

Parameter Description: Select Arms Function
param_palette

Parameter Description: Palette
param_seed

Parameter Description: Seed
param_minNumberOfSubjectsPerStage

Parameter Description: Minimum Number Of Subjects Per Stage
kable.ParameterSet

Create output in Markdown
param_groups

Parameter Description: Number Of Treatment Groups
param_digits

Parameter Description: Digits
param_kappa

Parameter Description: Kappa
param_directionUpper

Parameter Description: Direction Upper
getWideFormat

Get Wide Format
param_normalApproximation

Parameter Description: Normal Approximation
getConditionalPower

Get Conditional Power
param_pi1_survival

Parameter Description: Pi (1) for Survival Data
param_niceColumnNamesEnabled

Parameter Description: Nice Column Names Enabled
param_hazardRatio

Parameter Description: Hazard Ratio
param_plannedEvents

Parameter Description: Planned Events
param_lambda1

Parameter Description: Lambda (1)
param_pi2_rates

Parameter Description: Pi (2) for Rates
param_plannedSubjects

Parameter Description: Planned Subjects
plot.TrialDesignSet

Trial Design Set Plotting
param_populations

Parameter Description: Populations
param_stage

Parameter Description: Stage
param_showSource

Parameter Description: Show Source
param_stageResults

Parameter Description: Stage Results
param_selectPopulationsFunction

Parameter Description: Select Populations Function
printCitation

Print Citation
param_stDevSimulation

Parameter Description: Standard Deviation for Simulation
param_maxNumberOfEventsPerStage

Parameter Description: Max Number Of Events Per Stage
param_stDevH1

Parameter Description: Standard Deviation Under Alternative
getConditionalRejectionProbabilities

Get Conditional Rejection Probabilities
param_threshold

Parameter Description: Threshold
param_maxInformation

Parameter Description: Maximum Information
param_three_dots_plot

Parameter Description: "..." (optional plot arguments)
param_rValue

Parameter Description: RValue
param_maxNumberOfSubjectsPerStage

Parameter Description: Maximum Number Of Subjects Per Stage
getParameterCaption

Get Parameter Caption
param_typeOfComputation

Parameter Description: Type Of Computation
rpact

rpact - Confirmatory Adaptive Clinical Trial Design and Analysis
param_tolerance

Parameter Description: Tolerance
resetLogLevel

Reset Log Level
plot.Dataset

Dataset Plotting
readDatasets

Read Multiple Datasets
plot.EventProbabilities

Event Probabilities Plotting
param_typeOfShape

Parameter Description: Type Of Shape
param_thetaH0

Parameter Description: Theta H0
param_theta

Parameter Description: Theta
readDataset

Read Dataset
utilitiesForPiecewiseExponentialDistribution

The Piecewise Exponential Distribution
setLogLevel

Set Log Level
param_maxNumberOfSubjects_survival

Parameter Description: Maximum Number Of Subjects For Survival Endpoint
param_userAlphaSpending

Parameter Description: User Alpha Spending
param_plotPointsEnabled

Parameter Description: Plot Points Enabled
writeDatasets

Write Multiple Datasets
plot.ParameterSet

Parameter Set Plotting
plot.NumberOfSubjects

Number Of Subjects Plotting
writeDataset

Write Dataset
utilitiesForSurvivalTrials

Survival Helper Functions for Conversion of Pi, Lambda, Median
getSimulationMeans

Get Simulation Means
getParameterName

Get Parameter Name
param_plotSettings

Parameter Description: Plot Settings
param_stDev

Parameter Description: Standard Deviation
param_slope

Parameter Description: Slope
plot.TrialDesign

Trial Design Plotting
plot.SummaryFactory

Summary Factory Plotting
param_thetaH1

Parameter Description: Effect Under Alternative
param_three_dots

Parameter Description: "..."
getSimulationMultiArmMeans

Get Simulation Multi-Arm Means
param_allocationRatioPlanned_sampleSize

Parameter Description: Allocation Ratio Planned With Optimum Option
setOutputFormat

Set Output Format
param_allocationRatioPlanned

Parameter Description: Allocation Ratio Planned
param_conditionalPowerSimulation

Parameter Description: Conditional Power
[,TrialDesignSet-method

Access Trial Design by Index
param_dropoutRate1

Parameter Description: Dropout Rate (1)
param_dropoutRate2

Parameter Description: Dropout Rate (2)
param_dataInput

Parameter Description: Data Input
param_gED50

Parameter Description: G ED50
param_showStatistics

Parameter Description: Show Statistics
param_sided

Parameter Description: Sided
param_grid

Parameter Description: Grid (Output Specification Of Multiple Plots)
param_typeOfDesign

Parameter Description: Type of Design
param_successCriterion

Parameter Description: Success Criterion
param_stratifiedAnalysis

Parameter Description: Stratified Analysis
plot.StageResults

Stage Results Plotting
param_typeOfSelection

Parameter Description: Type of Selection
plot.SimulationResults

Simulation Results Plotting
testPackage

Test Package
t,FieldSet-method

Field Set Transpose