install.packages('crmPack')DataOrdinalDataPartsDASimulationsDALogisticLogNormalDataDataDADataDualDataGroupedDataMixtureDualResponsesDesign.RDesignDualResponsesSamplesDesignDualEndpointDualEndpointBetaDesignOrdinalDualDesignDesignGroupedDualEndpointRWDualEndpointEmaxFractionalCRMGeneralDataGeneralSimulationsSummaryIncrementsEffFlexiGeneralSimulationsDualSimulationsSummaryDualSimulationsGeneralModelEffloglogIncrementsDoseLevelsIncrementsRelativePartsIncrementsOrdinalIncrementsHSRBetaIncrementsMinIncrementsMaxToxProbLogisticLogNormalOrdinalLogisticLogNormalMixtureLogisticIndepBetaLogisticKadaneBetaGammaLogisticKadaneIncrementsRelativeIncrementsRelativeDLTCurrentLogisticNormalFixedMixtureLogisticNormalMixtureIncrementsRelativeDLTModelToxModelParamsNormalLogisticLogNormalSubLogisticNormalModelPseudoLogisticLogNormalMcmcOptionsLogisticLogNormalGroupedNextBestProbMTDLTENextBestInfTheoryNextBestEWOCNextBestDualEndpointModelLogNormalModelEffNextBestMaxGainNextBestMaxGainSamplesNextBestMTDNextBestOrdinalNextBestNCRMLossNextBestPseudoDualSimulationsNextBestThreePlusThreePseudoDualSimulationsSummaryOneParLogNormalPriorNextBestMinDistNextBestTDNextBestNCRMNextBestProbMTDMinDistSamplesNextBestTDsamplesPseudoSimulationsSummaryPseudoSimulationsProbitLogNormalSafetyWindowConstSafetyWindowSizeOneParExpPriorRuleDesignOrdinalProbitLogNormalRelRuleDesignPseudoDualFlexiSimulationsSimulationsStoppingLowestDoseHSRBetaStoppingListStoppingAnyStoppingMTDCVStoppingMTDdistributionStoppingExternalStoppingHighestDoseStoppingCohortsNearDoseStoppingMaxGainCIRatioStoppingMinCohortsSafetyWindowSimulationsSummaryStartingDoseStoppingAllStoppingTDDesignStoppingMinPatientsTDsamplesDesignStoppingMissingDoseStoppingTargetBiomarkerStoppingTargetProbStoppingTDCIRatioStoppingSpecificDoseStoppingPatientsNearDoseStoppingOrdinalcheckmateValidateTITELogisticLogNormalcovr-inserted trace codePEM curve. If hazard=TRUE,doseGrid for Printingshow() and output with cat to consoleJAGSDualEndpoint model with regard to parameters
of the function that models dose-biomarker relationship defined in the
DualEndpointBeta class.DualEndpoint class model components with regard to DLT and biomarker
correlation.JAGS ModelsJAGS Model ParametersDualEndpoint model with regard to prior variance
factor of the random walk.nextBest-NextBestMaxGain Method.DualEndpoint class model components with regard to biomarker
regression variance.JAGS mcarray ObjectnextBest-NextBestMaxGainSamples Method.nextBest-NextBestMaxGain Method.NULL for NAnextBest-NextBestTDsamples Method.nextBest-NextBestMaxGain Method.nextBest-NextBestNCRMLoss Method.nextBest-NextBestTD Method.CohortSizeConst Objectshow() and output with cat to consoleDataDual ClassDataDA ClassDualSimulationsPseudoDualSimulationsSummaryModelEff class
with samplesGeneralSimulationsSummaryGeneralSimulationsPseudoDualSimulationsPseudoDualFlexiSimulationsgtable ObjectsModelTox class model with samplesPseudoDualSimulationsPseudoSimulationsSummarypositive_numberPseudoSimulationsPseudoSimulationsDesignGrouped ClassDataDA ObjectsPseudoDualFlexiSimulationsPseudoDualSimulationsDataDual ObjectsDataParts ObjectsDataOrdinal ObjectsGeneralSimulations ObjectsIncrements ObjectsPseudoSimulations ObjectsRuleDesign ObjectsStartingDose ObjectsSamples ObjectsGeneralData ObjectsSafetyWindow ObjectsNextBest ObjectsGeneralModel and ModelPseudo ObjectsGeneralSimulations, Relative to a Given TruthMcmcOptions ObjectsCrmPackClass objectsCohortSize ObjectsModelPseudo model class. This is a method to update
the model class slots (estimates, parameters, variables and etc.), when the
new data (e.g. new observations of responses) are available. This method is
mostly used to obtain new modal estimates for pseudo model parameters.Stopping ObjectsData ObjectsCohortSizeDLTCohortSizePartsCohortSizeMinCohortSizeCrmPackClassDADesignCohortSizeRangeCohortSizeConstCohortSizeOrdinalCohortSizeMax