
Package index
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AnalyzeBinaryUsingBetaBinomial()
- Analyze Binary Data Using Beta-Binomial Model
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AnalyzeBinaryUsingEastManualFormula()
- Analyze Binary Data Using Formula 28.2 from the East Manual
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AnalyzeBinaryUsingPropLimitsOfCI()
- Analyze Binary Data Using Proportion Limits of Confidence Interval
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AnalyzeBinaryUsingPropTest()
- Analyze Binary Data Using the prop.test Function
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AnalyzeContinuousUsingEastManualFormula()
- Analyze Continuous Data Using East Manual Formula
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AnalyzeContinuousUsingMeanLimitsOfCI()
- Analyze Continuous Data Using Mean Limits of Confidence Interval
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AnalyzeContinuousUsingTTestNormal()
- Analyze Continuous Data Using t-Test
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AnalyzeTTEUsingHazardRatioLimitsOfCI()
- Analyze Time-to-Event Data Using Hazard Ratio Limits of Confidence Interval
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CombineAllRFiles()
- Combine All R Files
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ComputeBayesianPredictiveProbabilityWithBayesianAnalysis()
- Compute Bayesian Predictive Probability of Success
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ComputeHazardWeibull()
- Compute Hazard of Weibull Distribution
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ComputeScaleGivenShapeMedian()
- Compute Weibull scale parameter
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CreateCyneRgyExample()
- Create a New CyneRgy Example Using Templates
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CreateCyneRgyFunction()
- Create a CyneRgy Function Template
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GetDecision()
- Determine Decision Based on Decision String, Design and Look Information
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GetDecisionString()
- Generate Decision String Based on Interim and Final Analysis Conditions
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InitLoadCyneRgy()
- Initialize CyneRgy Library for Simulations
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ProbExpGreaterCtrlBeta()
- Compute Posterior Probability of Experimental Treatment Being Greater than Control
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ReplaceTagsInFile()
- Replace Tags in a File
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RunExample()
- Launch Example from the CyneRgy Package
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SelectExpThatAreBetterThanCtrl()
- Select Experimental Treatments Better Than Control
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SelectExpUsingBayesianRule()
- Select Experimental Treatments Using a Bayesian Rule
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SelectExpWithPValueLessThanSpecified()
- Select Experimental Treatments Using P-value Comparison
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SelectSpecifiedNumberOfExpWithHighestResponses()
- Select Treatments with the Highest Number of Responses
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SimulateContinuousPatientOutcomePercentAtZero()
- Simulate Continuous Patient Outcomes with Proportion at Zero
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SimulateContinuousPatientOutcomePercentAtZeroBetaDist()
- Simulate Continuous Patient Outcomes with Probability of Zero from a Beta Distribution
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SimulateTTEPatientMixtureExponentials()
- Simulate TTE Patient Outcomes from a Mixture Exponential Distribution
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SimulateTTEPatientWeibull()
- Simulate TTE Patient Outcomes from a Weibull Distribution