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rpact (version 1.0.0)

Confirmatory Adaptive Clinical Trial Design and Analysis

Description

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) . This includes classical group sequential as well as multi-stage adaptive hypotheses tests that are based on the combination testing principle.

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Version

Install

install.packages('rpact')

Monthly Downloads

1,194

Version

1.0.0

License

GPL-3

Maintainer

Friedrich Pahlke

Last Published

October 30th, 2018

Functions in rpact (1.0.0)

DatasetMeans

Dataset of Means
DatasetRates

Dataset of Rates
ParameterSet

Parameter Set
getDesignCharacteristics

Get Design Characteristics
PowerAndAverageSampleNumberResult

Power and Average Sample Number Result
PowerAndAverageSampleNumberResult_as.data.frame

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

Trial Design Characteristics
getDesignGroupSequential

Get Design Group Sequential
TrialDesignCharacteristics_as.data.frame

Coerce TrialDesignCharacteristics to a Data Frame
getDesignFisher

Get Design Fisher
getSampleSizeSurvival

Get Sample Size Survival
ParameterSet_as.data.frame

Coerce Parameter Set to a Data Frame
getStageResults

Get Stage Results
AnalysisResultsGroupSequential

Analysis Results Group Sequential
StageResults_plot

Stage Results Plotting - Conditional Power Plot
AnalysisResultsInverseNormal

Analysis Results Inverse Normal
ParameterSet_print

Print Parameter Set Values
StageResults_print

Print Stage Results
AnalysisResults_names

The Names of a Analysis Results object
AnalysisResults_as.data.frame

Coerce AnalysisResults to a Data Frame
StageResultsRates

Stage Results of Rates
StageResultsSurvival

Stage Results of Survival Data
TrialDesignFisher

Fisher Design
TrialDesignPlanMeans

Trial Design Plan Means
TrialDesignPlan_print

Print Trial Design Plan
TrialDesignSet

Class for trial design sets.
TrialDesignPlanRates

Trial Design Plan Rates
TrialDesignGroupSequential

Group Sequential Design
TrialDesignSet_as.data.frame

Coerce Trial Design Set to a Data Frame
getDataset

Get Dataset
getConditionalRejectionProbabilities

Get Conditional Rejection Probabilities
TrialDesignSet_length

Length of Trial Design Set
getRepeatedConfidenceIntervals

Get Repeated Confidence Intervals
AnalysisResults

Basic Class for Analysis Results
getRepeatedPValues

Get Repeated P Values
getTestActions

Get Test Actions
readDataset

Read Dataset
ParameterSet_summary

Parameter Set Summary
AnalysisResultsFisher

Analysis Results Fisher
PlotSettings

Plot Settings
StageResults_names

The Names of a Stage Results object
TrialDesign

Basic Trial Design
StageResults_summary

Stage Results Summary
getDesignSet

Get Design Set
StageResults_as.data.frame

Coerce Stage Results to a Data Frame
getFinalConfidenceInterval

Get Final Confidence Interval
TrialDesignSet_print

Print Trial Design Set Values
getDesignInverseNormal

Get Design Inverse Normal
readDatasets

Read Multiple Datasets
TrialDesign_as.data.frame

Coerce TrialDesign to a Data Frame
TrialDesign_plot

Trial Design Plotting
rpact-package

RPACT - R Package for Adaptive Clinical Trials
[,TrialDesignSet-method

Access Trial Design by Index
writeDataset

Write Dataset
FieldSet

Field Set
getSampleSizeMeans

Get Sample Size Means
TrialDesign_summary

Object Summary
getSampleSizeRates

Get Sample Size Rates
FieldSet_names

The Names of a Field Set object
StageResults

Basic Stage Results
StageResultsMeans

Stage Results of Means
TrialDesignInverseNormal

Inverse Normal Design
TrialDesignPlan

Basic Trial Design Plan
TrialDesignPlanSurvival

Trial Design Plan Survival
TrialDesignPlan_as.data.frame

Coerce Trial Design Plan to a Data Frame
writeDatasets

Write Multiple Datasets
getAnalysisResults

Get Analysis Results
getConditionalPower

Get Conditional Power
getFinalPValue

Get Final P Value
getPowerAndAverageSampleNumber

Get Power And Average Sample Number
AnalysisResults_plot

Analysis Results Plotting - Conditional Power Plot
DatasetSurvival

Dataset of Survival Data
Dataset_plot

Dataset Plotting
FieldSet_print

Print Field Set Values
Dataset

Dataset
TrialDesignSet_names

The Names of a Trial Design Set object
TrialDesignSet_plot

Trial Design Set Plotting