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 crmPack: ObjectOriented Implementation of CRM Designs
 StoppingGstarCIRatio: Initialization function for "StoppingGstarCIRatio"
Initialization function for "StoppingGstarCIRatio"
Description
Initialization function for "StoppingGstarCIRatio"
Usage
1  StoppingGstarCIRatio(targetRatio, targetEndOfTrial)

Arguments
targetRatio 
please refer to 
targetEndOfTrial 
please refer to 
Value
the StoppingGstarCIRatio
class object
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 AllModelsclass: Class for All models This is a class where all models...
 andStoppingAllStoppingmethod: The method combining a stopping list and an atomic
 andStoppingStoppingAllmethod: The method combining an atomic and a stopping list
 andStoppingStoppingmethod: The method combining two atomic stopping rules
 approximate: Approximate posterior with (log) normal distribution
 as.listGeneralDatamethod: as.list method for the "GeneralData" class
 biomLevel: Compute the biomarker level for a given dose, given model and...
 CohortSizeclass: The virtual class for cohort sizes
 CohortSizeConst: Initialization function for "CohortSizeConst"
 CohortSizeConstclass: Constant cohort size
 CohortSizeDLT: Initialization function for "CohortSizeDLT"
 CohortSizeDLTclass: Cohort size based on number of DLTs
 CohortSizeMax: Initialization function for "CohortSizeMax"
 CohortSizeMaxclass: Size based on maximum of multiple cohort size rules
 CohortSizeMin: Initialization function for "CohortSizeMin"
 CohortSizeMinclass: Size based on minimum of multiple cohort size rules
 CohortSizeParts: Initialization function for "CohortSizeParts"
 CohortSizePartsclass: Cohort size based on the parts
 CohortSizeRange: Initialization function for "CohortSizeRange"
 CohortSizeRangeclass: Cohort size based on dose range
 crmPackExample: Open the example pdf for crmPack
 crmPackHelp: Open the browser with help pages for crmPack
 crmPackpackage: Objectoriented implementation of CRM designs
 Data: Initialization function for the "Data" class
 Dataclass: Class for the data input
 DataDual: Initialization function for the "DataDual" class
 DataDualclass: Class for the dual endpoint data input
 DataMixture: Initialization function for the "DataMixture" class
 DataMixtureclass: Class for the data with mixture sharing
 DataParts: Initialization function for the "DataParts" class
 DataPartsclass: Class for the data with two study parts
 Design: Initialization function for "Design"
 Designclass: Class for the CRM design
 dinvGamma: Compute the density of Inverse gamma distribution
 dose: Compute the doses for a given probability, given model and...
 DualDesign: Initialization function for "DualDesign"
 DualDesignclass: Class for the dualendpoint CRM design
 DualEndpoint: Initialization function for the "DualEndpoint" class
 DualEndpointBeta: Initialization function for the "DualEndpointBeta" class
 DualEndpointBetaclass: Dual endpoint model with beta function for dosebiomarker...
 DualEndpointclass: General class for the dual endpoint model
 DualEndpointEmax: Initialization function for the "DualEndpointEmax" class
 DualEndpointEmaxclass: Dual endpoint model with emax function for dosebiomarker...
 DualEndpointOldclass: Dual endpoint model
 DualEndpointRW: Initialization function for the "DualEndpointRW" class
 DualEndpointRWclass: Dual endpoint model with RW prior for biomarker
 DualResponsesDesign: Initialization function for 'DualResponsesDesign"
 DualResponsesDesignclass: This is a class of design based on DLE responses using the...
 DualResponsesSamplesDesign: Initialization function for 'DualResponsesSamplesDesign"
 DualResponsesSamplesDesignclass: This is a class of design based on DLE responses using the...
 DualSimulations: Initialization function for "DualSimulations"
 DualSimulationsclass: Class for the simulations output from dualendpoint model...
 DualSimulationsSummaryclass: Class for the summary of dualendpoint simulations output
 EffFlexi: Initialization function for the "EffFlexi" class
 EffFlexiclass: Class for the efficacy model in flexible form for prior...
 Effloglog: Initialization function for the "Effloglog" class
 Effloglogclass: Class for the linear loglog efficacy model using pseudo data...
 examine: Obtain hypothetical trial course table for a design
 ExpEff: Compute the expected efficacy based on a given dose, a given...
 fit: Fit method for the Samples class
 fitGain: Get the fiited values for the gain values at all dose levels...
 gain: Compute the gain value with a given dose level, given a...
 GeneralDataclass: Class for general data input
 GeneralModelclass: No Intitialization function for this General class for model...
 GeneralSimulations: Initialization function for "GeneralSimulations"
 GeneralSimulationsclass: General class for the simulations output
 GeneralSimulationsSummaryclass: Class for the summary of general simulations output
 getEff: Extracting efficacy responses for subjects without or with a...
 getMinInfBeta: Get the minimal informative unimodal beta distribution
 getResultList: Helper function to obtain simulation results list
 getSamplescharactermethod: Get specific parameter samples and produce a data.frame
 Incrementsclass: The virtual class for controlling increments
 IncrementsRelative: Initialization function for "IncrementsRelative"
 IncrementsRelativeclass: Increments control based on relative differences in intervals
 IncrementsRelativeDLT: Initialization function for "IncrementsRelativeDLT"
 IncrementsRelativeDLTclass: Increments control based on relative differences in terms of...
 IncrementsRelativeParts: Initialization function for "IncrementsRelativeParts"
 IncrementsRelativePartsclass: Increments control based on relative differences in...
 initializeDualEndpointOldmethod: Initialization method for the "DualEndpointOld" class
 is.bool: Predicate checking for a boolean option
 is.probability: Predicate checking for a probability
 is.probRange: Predicate checking for a probability range
 is.scalar: Checking for scalar
 is.wholenumber: checks for whole numbers (integers)
 joinBodies: Helper function to join two function bodies
 joinModels: Helper function to join two BUGS models
 LogisticIndepBeta: Intialization function for "LogisticIndepBeta" class
 LogisticIndepBetaclass: No initialization function Standard logistic model with prior...
 LogisticKadane: Initialization function for the "LogisticKadane" class
 LogisticKadaneclass: Reparametrized logistic model
 LogisticLogNormal: Initialization function for the "LogisticLogNormal" class
 LogisticLogNormalclass: Standard logistic model with bivariate (log) normal prior
 LogisticLogNormalMixture: Initialization function for the "LogisticLogNormalMixture"...
 LogisticLogNormalMixtureclass: Standard logistic model with online mixture of two bivariate...
 LogisticLogNormalSub: Initialization function for the "LogisticLogNormalSub" class
 LogisticLogNormalSubclass: Standard logistic model with bivariate (log) normal prior...
 LogisticNormal: Initialization function for the "LogisticNormal" class
 LogisticNormalclass: Standard logistic model with bivariate normal prior
 LogisticNormalFixedMixture: Initialization function for the "LogisticNormalFixedMixture"...
 LogisticNormalFixedMixtureclass: Standard logistic model with fixed mixture of multiple...
 LogisticNormalMixture: Initialization function for the "LogisticNormalMixture" class
 LogisticNormalMixtureclass: Standard logistic model with flexible mixture of two...
 logit: Shorthand for logit function
 maxDose: Determine the maximum possible next dose
 maxSize: "MAX" combination of cohort size rules
 mcmc: Obtain posterior samples for all model parameters
 McmcOptions: Initialization function for the "McmcOptions" class
 McmcOptionsclass: Class for the three canonical MCMC options
 MinimalInformative: Construct a minimally informative prior
 minSize: "MIN" combination of cohort size rules
 Modelclass: Class for the model input
 ModelEffclass: No Initialization function class for Efficacy models using...
 ModelPseudoclass: Class of models using expressing their prior in form of...
 ModelToxclass: No intialization function Class for DLE models using pseudo...
 multiplot: Multiple plot function
 myBarplot: Convenience function to make barplots of percentages
 nextBest: Find the next best dose
 NextBestclass: The virtual class for finding next best dose
 NextBestDualEndpoint: Initialization function for "NextBestDualEndpoint"
 NextBestDualEndpointclass: The class with the input for finding the next dose based on...
 NextBestMaxGain: Initialization function for the class 'NextBestMaxGain'
 NextBestMaxGainclass: Next best dose with maximum gain value based on a pseudo DLE...
 NextBestMaxGainSamples: Initialization function for class "NextBestMaxGainSamples"
 NextBestMaxGainSamplesclass: Next best dose with maximum gain value based on a pseudo DLE...
 NextBestMTD: Initialization function for class "NextBestMTD"
 NextBestMTDclass: The class with the input for finding the next best MTD...
 NextBestNCRM: Initialization function for "NextBestNCRM"
 NextBestNCRMclass: The class with the input for finding the next dose in target...
 NextBestTD: Initialization function for the class "NextBestTD"
 NextBestTDclass: Next best dose based on Pseudo DLE model without sample
 NextBestTDsamples: Initialization function for class "NextBestTDsamples"
 NextBestTDsamplesclass: Next best dose based on Pseudo DLE Model with samples
 NextBestThreePlusThree: Initialization function for "NextBestThreePlusThree"
 NextBestThreePlusThreeclass: The class with the input for finding the next dose in target...
 noOverlap: Check overlap of two character vectors
 orStoppingAnyStopping: The method combining an atomic and a stopping list
 orStoppingStopping: The method combining two atomic stopping rules
 orStoppingStoppingAny: The method combining a stopping list and an atomic
 pinvGamma: Compute the distribution function of Inverse gamma...
 plotDataDualmissingmethod: Plot method for the "DataDual" class
 plotDataDualModelEffmethod: Plot of the fitted doseefficacy based with a given pseudo...
 plotDatamissingmethod: Plot method for the "Data" class
 plotDataModelToxmethod: Plot of the fitted dosetox based with a given pseudo DLE...
 plotDualResponses: Plot of the DLE and efficacy curve side by side given a DLE...
 plotDualSimulationsmissingmethod: Plot dualendpoint simulations
 plotDualSimulationsSummarymissingmethod: Plot summaries of the dualendpoint design simulations
 plotGain: Plot the gain curve in addition with the doseDLE and...
 plotGeneralSimulationsmissingmethod: Plot simulations
 plotGeneralSimulationsSummarymissingmethod: Graphical display of the general simulation summary
 plot.gtable: Plots gtable objects
 plotPseudoDualFlexiSimulationsmissingmethod: This plot method can be applied to...
 plotPseudoDualSimulationsmissingmethod: Plot simulations
 plotPseudoDualSimulationsSummarymissingmethod: Plot the summary of Pseudo Dual Simulations summary
 plotPseudoSimulationsSummarymissingmethod: Plot summaries of the pseudo simulations
 plotSamplesDualEndpointmethod: Plotting dosetoxicity and dosebiomarker model fits
 plotSamplesModelEffmethod: Plot the fitted doseeffcacy curve using a model from...
 plotSamplesModelmethod: Plotting dosetoxicity model fits
 plotSamplesModelToxmethod: Plot the fitted doseDLE curve using a 'ModelTox' class model...
 plotSimulationsSummarymissingmethod: Plot summaries of the modelbased design simulations
 printVignette: Taken from utils package (print.vignette)
 prob: Compute the probability for a given dose, given model and...
 PseudoDualFlexiSimulations: Initialization function for 'PseudoDualFlexiSimulations'...
 PseudoDualFlexiSimulationsclass: This is a class which captures the trial simulations design...
 PseudoDualSimulations: Initialization function for 'DualPseudoSimulations' class
 PseudoDualSimulationsclass: This is a class which captures the trial simulations design...
 PseudoDualSimulationsSummaryclass: Class for the summary of the dual responses simulations using...
 PseudoSimulations: Initialization function of the 'PseudoSimulations' class
 PseudoSimulationsclass: This is a class which captures the trial simulations from...
 PseudoSimulationsSummaryclass: Class for the summary of pseudomodels simulations output
 qinvGamma: Compute the quantile function of Inverse gamma distribution
 Quantiles2LogisticNormal: Convert prior quantiles (lower, median, upper) to logistic...
 Report: A Reference Class to represent sequentially updated reporting...
 rinvGamma: The random generation of the Inverse gamma distribution
 RuleDesign: Initialization function for "RuleDesign"
 RuleDesignclass: Class for rulebased designs
 safeInteger: Safe conversion to integer vector
 Samples: Initialization function for "Samples"
 Samplesclass: Class for the MCMC output
 sampleSize: Compute the number of samples for a given MCMC options triple
 saveSample: Determine if we should save this sample
 setSeed: Helper function to set and save the RNG seed
 showDualSimulationsSummarymethod: Show the summary of the dualendpoint simulations
 showGeneralSimulationsSummarymethod: Show the summary of the simulations
 showPseudoDualSimulationsSummarymethod: Show the summary of Pseudo Dual simulations summary
 showPseudoSimulationsSummarymethod: Show the summary of the simulations
 showSimulationsSummarymethod: Show the summary of the simulations
 simulateDesignmethod: Simulate outcomes from a CRM design
 simulateDualDesignmethod: Simulate outcomes from a dualendpoint design
 simulateDualResponsesDesignmethod: This is a methods to simulate dose escalation procedure using...
 simulateDualResponsesSamplesDesignmethod: This is a methods to simulate dose escalation procedure using...
 simulateRuleDesignmethod: Simulate outcomes from a rulebased design
 simulateTDDesignmethod: This is a methods to simulate dose escalation procedure only...
 simulateTDsamplesDesignmethod: This is a methods to simulate dose escalation procedure only...
 Simulations: Initialization function for the "Simulations" class
 Simulationsclass: Class for the simulations output from model based designs
 SimulationsSummaryclass: Class for the summary of modelbased simulations output
 size: Determine the size of the next cohort
 StoppingAll: Initialization function for "StoppingAll"
 StoppingAllclass: Stop based on fullfillment of all multiple stopping rules
 StoppingAny: Initialization function for "StoppingAny"
 StoppingAnyclass: Stop based on fullfillment of any stopping rule
 Stoppingclass: The virtual class for stopping rules
 StoppingCohortsNearDose: Initialization function for "StoppingCohortsNearDose"
 StoppingCohortsNearDoseclass: Stop based on number of cohorts near to next best dose
 StoppingGstarCIRatio: Initialization function for "StoppingGstarCIRatio"
 StoppingGstarCIRatioclass: Stop based on a target ratio, the ratio of the upper to the...
 StoppingHighestDose: Initialization function for "StoppingHighestDose"
 StoppingHighestDoseclass: Stop when the highest dose is reached
 StoppingList: Initialization function for "StoppingList"
 StoppingListclass: Stop based on multiple stopping rules
 StoppingMinCohorts: Initialization function for "StoppingMinCohorts"
 StoppingMinCohortsclass: Stop based on minimum number of cohorts
 StoppingMinPatients: Initialization function for "StoppingMinPatients"
 StoppingMinPatientsclass: Stop based on minimum number of patients
 StoppingMTDdistribution: Initialization function for "StoppingMTDdistribution"
 StoppingMTDdistributionclass: Stop based on MTD distribution
 StoppingPatientsNearDose: Initialization function for "StoppingPatientsNearDose"
 StoppingPatientsNearDoseclass: Stop based on number of patients near to next best dose
 StoppingTargetBiomarker: Initialization function for "StoppingTargetBiomarker"
 StoppingTargetBiomarkerclass: Stop based on probability of target biomarker
 StoppingTargetProb: Initialization function for "StoppingTargetProb"
 StoppingTargetProbclass: Stop based on probability of target tox interval
 StoppingTDCIRatio: Initialization function for "StoppingTDCIRatio"
 StoppingTDCIRatioclass: Stop based on a target ratio, the ratio of the upper to the...
 stopTrial: Stop the trial?
 summaryDualSimulationsmethod: Summarize the dualendpoint design simulations, relative to...
 summaryGeneralSimulationsmethod: Summarize the simulations, relative to a given truth
 summaryPseudoDualFlexiSimulationsmethod: Summary for Pseudo Dual responses simulations given a pseudo...
 summaryPseudoDualSimulationsmethod: Summary for Pseudo Dual responses simulations, relative to a...
 summaryPseudoSimulationsmethod: Summarize the simulations, relative to a given truth
 summarySimulationsmethod: Summarize the modelbased design simulations, relative to a...
 TDDesign: Initialization function for 'TDDesign' class
 TDDesignclass: Design class using DLE responses only based on the pseudo DLE...
 TDsamplesDesign: Initialization function for 'TDsamplesDesign' class
 TDsamplesDesignclass: This is a class of design based only on DLE responses using...
 ThreePlusThreeDesign: Creates a new 3+3 design object from a dose grid
 updateDataDualmethod: Update method for the "DataDual" class
 updateDatamethod: Update method for the "Data" class
 updateDataPartsmethod: Update method for the "DataParts" class
 updateEffFleximethod: Update method for the 'EffFlexi' Model class. This is a...
 updateEffloglogmethod: Update method for the 'Effloglog' Model class. This is a...
 updateLogisticIndepBetamethod: Update method for the 'LogisticIndepBeta'Model class. This is...
 Validate: A Reference Class to help programming validation for new S4...
 writeModel: Creating a WinBUGS model file