install.packages('crmPack')DataDualDataDADataGroupedDataPartsDataMixtureDASimulationsDALogisticLogNormalDataOrdinalDataDualResponsesDesign.RDualEndpointRWDesignDualEndpointDualDesignDualEndpointEmaxDualEndpointBetaDesignGroupedDesignOrdinalDualResponsesSamplesDesignDualSimulationsSummaryGeneralSimulationsSummaryIncrementsEffFlexiGeneralSimulationsGeneralModelEffloglogLogisticIndepBetaFractionalCRMDualSimulationsGeneralDataIncrementsMaxToxProbIncrementsRelativeDLTIncrementsDoseLevelsIncrementsHSRBetaIncrementsRelativePartsIncrementsRelativeDLTCurrentIncrementsOrdinalIncrementsMinIncrementsRelativeLogisticNormalFixedMixtureLogisticKadaneLogisticLogNormalMixtureLogisticKadaneBetaGammaLogisticLogNormalGroupedLogisticLogNormalOrdinalLogisticLogNormalLogisticLogNormalSubLogisticNormalMixtureLogisticNormalModelParamsNormalModelEffNextBestDualEndpointMcmcOptionsModelPseudoNextBestMaxGainSamplesModelLogNormalNextBestMaxGainNextBestNCRMLossNextBestEWOCNextBestOrdinalNextBestProbMTDLTEModelToxNextBestNextBestProbMTDMinDistNextBestInfTheoryNextBestMTDNextBestThreePlusThreeOneParLogNormalPriorNextBestTDPseudoDualSimulationsSummaryProbitLogNormalProbitLogNormalRelNextBestNCRMNextBestTDsamplesPseudoDualFlexiSimulationsPseudoDualSimulationsNextBestMinDistOneParExpPriorRuleDesignPseudoSimulationsSummaryPseudoSimulationsSimulationsSamplesStoppingRuleDesignOrdinalSafetyWindowStoppingAnyStoppingCohortsNearDoseStoppingAllStoppingExternalStoppingHighestDoseSimulationsSummaryStartingDoseStoppingMissingDoseSafetyWindowSizeSafetyWindowConstStoppingMinPatientsStoppingPatientsNearDoseStoppingOrdinalStoppingMinCohortsStoppingMaxGainCIRatioValidateTITELogisticLogNormalStoppingLowestDoseHSRBetaStoppingListStoppingSpecificDoseStoppingTDCIRatioStoppingTargetBiomarkerStoppingTargetProbStoppingMTDCVcheckmateStoppingMTDdistributionTDDesignTDsamplesDesignPEM curve. If hazard=TRUE,covr-inserted trace codeDualEndpoint 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 biomarker
regression variance.nextBest-NextBestMaxGain Method.DualEndpoint class model components with regard to DLT and biomarker
correlation.nextBest-NextBestMaxGain Method.JAGS mcarray Objectshow() and output with cat to consoleDualEndpoint model with regard to prior variance
factor of the random walk.nextBest-NextBestMaxGain Method.nextBest-NextBestMaxGainSamples Method.JAGS ModelsnextBest-NextBestTDsamples Method.show() and output with cat to consoleCohortSizeConst ObjectdoseGrid for PrintingnextBest-NextBestNCRMLoss Method.NULL for NAJAGSDualSimulationsJAGS Model ParametersPseudoSimulationsSummaryPseudoDualSimulationsSummaryPseudoDualFlexiSimulationsDataDA ClassPseudoDualSimulationsModelEff class
with samplesGeneralSimulationsnextBest-NextBestTD Method.DataDual Classpositive_numberModelTox class model with samplesGeneralSimulationsSummarygtable ObjectsPseudoDualSimulationsPseudoSimulationsDesignGrouped ClassGeneralSimulations, Relative to a Given TruthPseudoDualFlexiSimulationsPseudoDualSimulationsCrmPackClass objectsData ObjectsPseudoSimulationsDataDA ObjectsDataDual ObjectsMcmcOptions ObjectsIncrements ObjectsDataParts ObjectsCohortSize ObjectsGeneralModel and ModelPseudo ObjectsGeneralSimulations ObjectsRuleDesign 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.GeneralData ObjectsDataOrdinal ObjectsStopping ObjectsStartingDose ObjectsSamples ObjectsSafetyWindow ObjectsPseudoSimulations ObjectsNextBest ObjectsCrmPackClassCohortSizeDLTCohortSizeOrdinalCohortSizeMinCohortSizePartsCohortSizeDADesignCohortSizeRangeCohortSizeMaxCohortSizeConst