| AllModels-class | 'AllModels' |
| and-StoppingAll-Stopping-method | The method combining a stopping list and an atomic |
| and-Stopping-StoppingAll-method | The method combining an atomic and a stopping list |
| and-Stopping-Stopping-method | The method combining two atomic stopping rules |
| approximate | Approximate posterior with (log) normal distribution |
| BayDesign | Initialization function for "Design" |
| BayDesign-class | Class for the Bayer CRM design |
| biomLevel | Compute the biomarker level for a given dose, given model and... |
| CohortSize-class | The virtual class for cohort sizes |
| CohortSizeConst | Initialization function for "CohortSizeConst" |
| CohortSizeConst-class | Constant cohort size |
| CohortSizeDLT | Initialization function for "CohortSizeDLT" |
| CohortSizeDLT-class | Cohort size based on number of DLTs |
| CohortSizeMax | Initialization function for "CohortSizeMax" |
| CohortSizeMax-class | Size based on maximum of multiple cohort size rules |
| CohortSizeMin | Initialization function for "CohortSizeMin" |
| CohortSizeMin-class | Size based on minimum of multiple cohort size rules |
| CohortSizeParts | Initialization function for "CohortSizeParts" |
| CohortSizeParts-class | Cohort size based on the parts |
| CohortSizeRange | Initialization function for "CohortSizeRange" |
| CohortSizeRange-class | Cohort size based on dose range |
| crmPackExample | Open the example pdf for crmPack |
| crmPackHelp | Open the browser with help pages for crmPack |
| crmPack-package | Object-oriented implementation of CRM designs |
| DADesign | Initialization function for 'DADesign' |
| DADesign-class | Class for the time-to-DLT augmented CRM design |
| DALogisticLogNormal | Initialization function for the 'DALogisticLogNormal' class |
| DALogisticLogNormal-class | Logistic model with bivariate (log) normal prior and data... |
| dapply | Apply a Function to Subsets of Data Frame. |
| DASimulations | Initialization function for 'DASimulations' |
| DASimulations-class | Class for the simulations output from DA based designs |
| Data-class | 'Data' |
| DataDA-class | 'DataDA' |
| DataDual-class | 'DataDual' |
| DataMixture-class | 'DataMixture' |
| DataParts-class | 'DataParts' |
| Design | Initialization function for "Design" |
| Design-class | Class for the CRM design |
| dinvGamma | Compute the density of Inverse gamma distribution |
| DLTLikelihood | Likelihood of DLTs in each interval |
| dose | Computing the Doses for a Given Probability, Model and... |
| doseFunction | Getting the Dose Function for a Given Model Type |
| DualDesign | Initialization function for "DualDesign" |
| DualDesign-class | Class for the dual-endpoint CRM design |
| DualEndpoint | Initialization function for the "DualEndpoint" class |
| DualEndpointBeta | Initialization function for the "DualEndpointBeta" class |
| DualEndpointBeta-class | Dual endpoint model with beta function for dose-biomarker... |
| DualEndpoint-class | General class for the dual endpoint model |
| DualEndpointEmax | Initialization function for the "DualEndpointEmax" class |
| DualEndpointEmax-class | Dual endpoint model with emax function for dose-biomarker... |
| DualEndpointOld-class | Dual endpoint model |
| DualEndpointRW | Initialization function for the "DualEndpointRW" class |
| DualEndpointRW-class | Dual endpoint model with RW prior for biomarker |
| DualResponsesDesign | Initialization function for 'DualResponsesDesign" |
| DualResponsesDesign-class | This is a class of design based on DLE responses using the... |
| DualResponsesSamplesDesign | Initialization function for 'DualResponsesSamplesDesign" |
| DualResponsesSamplesDesign-class | This is a class of design based on DLE responses using the... |
| DualSimulations | Initialization function for "DualSimulations" |
| DualSimulations-class | Class for the simulations output from dual-endpoint model... |
| DualSimulationsSummary-class | Class for the summary of dual-endpoint simulations output |
| EffFlexi | Initialization function for the "EffFlexi" class |
| EffFlexi-class | Class for the efficacy model in flexible form for prior... |
| Effloglog | Initialization function for the "Effloglog" class |
| Effloglog-class | Class for the linear log-log efficacy model using pseudo data... |
| enable_logging | Verbose Logging |
| 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 fitted values for the gain values at all dose levels... |
| fitPEM | Get the fitted DLT free survival (piecewise exponential... |
| FractionalCRM-class | Fractional CRM following paper and code by Guosheng Yin et al |
| gain | Compute the gain value with a given dose level, given a... |
| GeneralData-class | 'GeneralData' |
| GeneralModel-class | 'GeneralModel' |
| GeneralSimulations | Initialization function for "GeneralSimulations" |
| GeneralSimulationsBay | Initialization function for "GeneralSimulations" |
| GeneralSimulationsBay-class | General class for the simulations output Bayer |
| GeneralSimulations-class | General class for the simulations output |
| GeneralSimulationsSummaryBay-class | Class for the summary of general simulations output |
| GeneralSimulationsSummary-class | Class for the summary of general simulations output |
| getEff | Extracting Efficacy Responses for Subjects Categorized by the... |
| getMinInfBeta | Get the minimal informative unimodal beta distribution |
| getResultList | Helper function to obtain simulation results list |
| get-Samples-character-method | Get specific parameter samples and produce a data.frame |
| h_all_equivalent | Comparison with Numerical Tolerance and Without Name... |
| h_check_fun_formals | Checking Formals of a Function |
| h_format_number | Conditional Formatting Using C-style Formats |
| h_is_positive_definite | Testing Matrix for Positive Definiteness |
| h_jags_add_dummy | Appending a Dummy Number for Selected Slots in Data |
| h_jags_extract_samples | Extracting Samples from 'JAGS' 'mcarray' Object |
| h_jags_get_data | Getting Data for 'JAGS' |
| h_jags_get_model_inits | Setting Initial Values for 'JAGS' Model Parameters |
| h_jags_join_models | Joining 'JAGS' Models |
| h_jags_write_model | Writing JAGS Model to a File |
| h_null_if_na | Getting 'NULL' for 'NA' |
| h_null_if_scalar | Getting 'NULL' for scalar object |
| h_plot_data_cohort_lines | Preparing Cohort Lines for Data Plot |
| h_plot_data_df | Preparing Data for Plotting |
| h_rapply | Recursively Apply a Function to a List |
| h_slots | Getting the Slots from a S4 Object |
| h_validate_combine_results | Combining S4 Class Validation Results |
| IncrementMin | Initialization function for "IncrementMin" |
| IncrementMin-class | Max increment based on minimum of multiple increment rules |
| IncrementMinDLT1N1 | Initialization function for "IncrementMinDLT1N1" |
| IncrementMinDLT1N1-class | Max increment based on minimum of multiple increment rules |
| IncrementsAbsoluteMax | Initialization function for "IncrementsAbsoluteMax" |
| IncrementsAbsoluteMax-class | Increments control based on absolute differences in intervals |
| Increments-class | The virtual class for controlling increments |
| IncrementsHSRBeta-class | 'IncrementsHSRBeta' |
| IncrementsHSRBeta_dk | Initialization function for "IncrementsHSRBeta_dk" |
| IncrementsHSRBeta_dk-class | Increments control based on eligable dose levels according to... |
| IncrementsNlastDL | Initialization function for "IncrementsRelativeDLT" |
| IncrementsNlastDL-class | Increments control based on relative differences in terms of... |
| IncrementsNumDoseLevelsBaySafetyFix | Initialization function for "IncrementsRelativeSafetyFix" |
| IncrementsNumDoseLevelsBaySafetyFix-class | Increments control based the maximum dose level increase (not... |
| IncrementsNumDoseLevels-class | 'IncrementsNumDoseLevels' |
| IncrementsRelative | Initialization function for "IncrementsRelative" |
| IncrementsRelative-class | Increments control based on relative differences in intervals |
| IncrementsRelativeDLT | Initialization function for "IncrementsRelativeDLT" |
| IncrementsRelativeDLT-class | Increments control based on relative differences in terms of... |
| IncrementsRelativeDLTmax | Initialization function for "IncrementsRelativeDLTmax" |
| IncrementsRelativeDLTmax-class | Increments control based on relative differences in terms of... |
| IncrementsRelativeMax | Initialization function for "IncrementsRelative" |
| IncrementsRelativeMax-class | Increments control based on relative differences in intervals |
| IncrementsRelativeParts | Initialization function for "IncrementsRelativeParts" |
| IncrementsRelativeParts-class | Increments control based on relative differences in... |
| IncrementsRelativeSafety | Initialization function for "IncrementsRelativeSafety" |
| IncrementsRelativeSafety-class | Increments control based on relative safety |
| IncrementsRelativeSafetyFix | Initialization function for "IncrementsRelativeSafetyFix" |
| IncrementsRelativeSafetyFix-class | Increments control based on relative safety |
| IncrementsSafetyStop | Initialization function for "IncrementsSafetyStop" |
| IncrementsSafetyStop-class | Increments control based on the number of observed DLTs This... |
| IncrementsSafetyStopFix | Initialization function for "IncrementsSafetyStopFix" |
| IncrementsSafetyStopFix-class | Increments control based on the number of observed DLTs This... |
| initialize-DualEndpointOld-method | 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.range | Predicate checking for a numeric range |
| is.scalar | Checking for scalar |
| is.wholenumber | checks for whole numbers (integers) |
| LogisticIndepBeta | Intialization function for "LogisticIndepBeta" class |
| LogisticIndepBeta-class | No initialization function Standard logistic model with prior... |
| LogisticKadane | Initialization function for the "LogisticKadane" class |
| LogisticKadane2 | Initialization function for the "LogisticKadane2" class |
| LogisticKadane2-class | Reparametrized logistic model (version 2) |
| LogisticKadaneBayer | Initialization function for the "LogisticKadaneBayer" class |
| LogisticKadaneBayer-class | Standard Kadane model |
| LogisticKadane-class | Reparametrized logistic model |
| LogisticLogNormal-class | 'LogisticLogNormal' |
| LogisticLogNormalMixture | Initialization function for the "LogisticLogNormalMixture"... |
| LogisticLogNormalMixture-class | Standard logistic model with online mixture of two bivariate... |
| LogisticLogNormalSub-class | 'LogisticLogNormalSub' |
| LogisticNormal-class | 'LogisticNormal' |
| LogisticNormalFixedMixture | Initialization function for the "LogisticNormalFixedMixture"... |
| LogisticNormalFixedMixture-class | Standard logistic model with fixed mixture of multiple... |
| LogisticNormalMixture | Initialization function for the "LogisticNormalMixture" class |
| LogisticNormalMixture-class | Standard logistic model with flexible mixture of two... |
| logit | Shorthand for logit function |
| matchTolerance | Helper function for value matching with tolerance |
| maxDose | Determine the maximum possible next dose |
| maxSize | "MAX" combination of cohort size rules |
| mcmc | Obtaining Posterior Samples for all Model Parameters |
| McmcOptions-class | 'McmcOptions' |
| MinimalInformative | Construct a minimally informative prior |
| minSize | "MIN" combination of cohort size rules |
| Model-class | 'Model' |
| ModelEff-class | No Initialization function class for Efficacy models using... |
| ModelLogNormal-class | 'ModelLogNormal' |
| ModelPseudo-class | Class of models using expressing their prior in form of... |
| ModelTox-class | No intialization function Class for DLE models using pseudo... |
| multiplot | Multiple plot function |
| myBarplot | Convenience function to make barplots of percentages |
| myBayesLogit | Do MCMC sampling for Bayesian logistic regression model |
| nextBest | Find the next best dose |
| NextBest-class | The virtual class for finding next best dose |
| NextBestDualEndpoint | Initialization function for "NextBestDualEndpoint" |
| NextBestDualEndpoint-class | The class with the input for finding the next dose based on... |
| NextBestKadaneBay | Initialization function for class "NextBestKadaneBay" |
| NextBestKadaneBay-class | The class with the input for finding the next best MTD... |
| NextBestMaxGain | Initialization function for the class 'NextBestMaxGain' |
| NextBestMaxGain-class | Next best dose with maximum gain value based on a pseudo DLE... |
| NextBestMaxGainSamples | Initialization function for class "NextBestMaxGainSamples" |
| NextBestMaxGainSamples-class | Next best dose with maximum gain value based on a pseudo DLE... |
| NextBestMinDist | Initialization function for class "NextBestMinDist" |
| NextBestMinDist-class | Class for Next Best Dose based on Minimum Distance to Target... |
| NextBestMTD | Initialization function for class "NextBestMTD" |
| NextBestMTD-class | The class with the input for finding the next best MTD... |
| NextBestMTDCRM | Initialization function for class "NextBestMTDCRM" |
| NextBestMTDCRM-class | The class with the input for finding the next best dose based... |
| NextBestMTDprob | Initialization function for class "NextBestMTDprob" |
| NextBestMTDprob-class | The class with the input for finding the next best MTD... |
| NextBestNCRM | Initialization function for "NextBestNCRM" |
| NextBestNCRM-class | The class with the input for finding the next dose in target... |
| NextBestTD | Initialization function for the class "NextBestTD" |
| NextBestTD-class | Next best dose based on Pseudo DLE model without sample |
| NextBestTDsamples | Initialization function for class "NextBestTDsamples" |
| NextBestTDsamples-class | Next best dose based on Pseudo DLE Model with samples |
| NextBestThreePlusThree | Initialization function for "NextBestThreePlusThree" |
| NextBestThreePlusThree-class | The class with the input for finding the next dose in target... |
| NextBestTwoParBay | Initialization function for class "NextBestTwoParBay" |
| NextBestTwoParBay-class | The class with the input for finding the next best MTD... |
| noOverlap | Check overlap of two character vectors |
| OneParExp | Initialization function for the "OneParExp" class |
| OneParExp-class | Standard one parameter model |
| OneParExpNormalPrior-class | CRM Model with Skeleton Prior Probabilities |
| or-StoppingAny-Stopping | The method combining an atomic and a stopping list |
| or-Stopping-Stopping | The method combining two atomic stopping rules |
| or-Stopping-StoppingAny | The method combining a stopping list and an atomic |
| pinvGamma | Compute the distribution function of Inverse gamma... |
| plot-DataDA-missing-method | Plot Method for the 'DataDA' Class |
| plot-DataDual-missing-method | Plot Method for the 'DataDual' Class |
| plot-DataDual-ModelEff-method | Plot of the fitted dose-efficacy based with a given pseudo... |
| plot-Data-missing-method | Plot Method for the 'Data' Class |
| plot-Data-ModelTox-method | Plot of the fitted dose-tox based with a given pseudo DLE... |
| plotDualResponses | Plot of the DLE and efficacy curve side by side given a DLE... |
| plot-DualSimulations-missing-method | Plot dual-endpoint simulations |
| plot-DualSimulationsSummary-missing-method | Plot summaries of the dual-endpoint design simulations |
| plotGain | Plot the gain curve in addition with the dose-DLE and... |
| plot-GeneralSimulations-missing-method | Plot simulations |
| plot-GeneralSimulationsSummary-missing-method | Graphical display of the general simulation summary |
| plot.gtable | Plots gtable objects |
| plot-PseudoDualFlexiSimulations-missing-method | This plot method can be applied to... |
| plot-PseudoDualSimulations-missing-method | Plot simulations |
| plot-PseudoDualSimulationsSummary-missing-method | Plot the summary of Pseudo Dual Simulations summary |
| plot-PseudoSimulationsSummary-missing-method | Plot summaries of the pseudo simulations |
| plot-Samples-DALogisticLogNormal-method | Plotting dose-toxicity model fits |
| plot-Samples-DualEndpoint-method | Plotting dose-toxicity and dose-biomarker model fits |
| plot-Samples-ModelEff-method | Plot the fitted dose-efficacy curve using a model from... |
| plot-Samples-Model-method | Plotting dose-toxicity model fits |
| plot-Samples-ModelTox-method | Plot the fitted dose-DLE curve using a 'ModelTox' class model... |
| plot-SimulationsSummary-missing-method | Plot summaries of the model-based design simulations |
| printVignette | Taken from utils package (print.vignette) |
| prob | Computing Toxicity Probabilities for a Given Dose, Model and... |
| probFunction | Getting the Prob Function for a Given Model Type |
| probit | Shorthand for probit function |
| ProbitLogNormal-class | 'ProbitLogNormal' |
| ProbitLogNormalRel-class | 'ProbitLogNormalRel' |
| PseudoDualFlexiSimulations | Initialization function for 'PseudoDualFlexiSimulations'... |
| PseudoDualFlexiSimulations-class | This is a class which captures the trial simulations design... |
| PseudoDualSimulations | Initialization function for 'DualPseudoSimulations' class |
| PseudoDualSimulations-class | Class 'PseudoDualSimulations' |
| PseudoDualSimulationsSummary-class | Class for the summary of the dual responses simulations using... |
| PseudoSimulations | Initialization function of the 'PseudoSimulations' class |
| PseudoSimulations-class | Class 'PseudoSimulations' |
| PseudoSimulationsSummary-class | Class for the summary of pseudo-models 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" |
| RuleDesign-class | Class for rule-based designs |
| safeInteger | Safe conversion to integer vector |
| SafetyWindow-class | The virtual class for safety window |
| SafetyWindowConst | Initialization function for 'SafetyWindowConst' |
| SafetyWindowConst-class | Constant safety window length |
| SafetyWindowSize | Initialization function for 'SafetyWindowSize' |
| SafetyWindowSize-class | Safety window length based on cohort size. This class is used... |
| Samples | Initialization function for "Samples" |
| Samples-class | Class for the MCMC output |
| sampleSize | Computing the Number of Samples |
| saveSample | Determining if this Sample Should be Saved |
| setSeed | Helper function to set and save the RNG seed |
| show-DualSimulationsSummary-method | Show the summary of the dual-endpoint simulations |
| show-GeneralSimulationsSummaryBay-method | Show the summary of the simulations |
| show-GeneralSimulationsSummary-method | Show the summary of the simulations |
| show-PseudoDualSimulationsSummary-method | Show the summary of Pseudo Dual simulations summary |
| show-PseudoSimulationsSummary-method | Show the summary of the simulations |
| show-SimulationsSummary-method | Show the summary of the simulations |
| simulate-BayDesign-method | Simulate outcomes from a Bayer CRM design |
| simulate-DADesign-method | Simulate outcomes from a time-to-DLT augmented CRM design... |
| simulate-Design-method | Simulate outcomes from a CRM design |
| simulate-DualDesign-method | Simulate outcomes from a dual-endpoint design |
| simulate-DualResponsesDesign-method | This is a methods to simulate dose escalation procedure using... |
| simulate-DualResponsesSamplesDesign-method | This is a methods to simulate dose escalation procedure using... |
| simulate-RuleDesign-method | Simulate outcomes from a rule-based design |
| simulate-TDDesign-method | This is a methods to simulate dose escalation procedure only... |
| simulate-TDsamplesDesign-method | This is a methods to simulate dose escalation procedure only... |
| Simulations | Initialization function for the "Simulations" class |
| SimulationsBay | Initialization function for the "Simulations" class |
| SimulationsBay-class | Class for the simulations output from model based designs |
| Simulations-class | Class for the simulations output from model based designs |
| SimulationsSummaryBay-class | Class for the summary of model-based simulations output |
| SimulationsSummary-class | Class for the summary of model-based simulations output |
| size | Determine the size of the next cohort |
| StoppingAll | Initialization function for "StoppingAll" |
| StoppingAll-class | Stop based on fulfillment of all multiple stopping rules |
| StoppingAny | Initialization function for "StoppingAny" |
| StoppingAny-class | Stop based on fulfillment of any stopping rule |
| Stopping-class | 'Stopping' |
| StoppingCohortsNearDose | Initialization function for "StoppingCohortsNearDose" |
| StoppingCohortsNearDose-class | Stop based on number of cohorts near to next best dose |
| StoppingGstarCIRatio | Initialization function for "StoppingGstarCIRatio" |
| StoppingGstarCIRatio-class | Stop based on a target ratio, the ratio of the upper to the... |
| StoppingHardFirst | Initialization function for "StoppingHardFirst" |
| StoppingHardFirst-class | Hardstopping rule based on the Bin-Beta distribution and not... |
| StoppingHardFirstFix | Initialization function for "StoppingHardFirstFix" |
| StoppingHardFirstFix-class | Stopping rule based on the number of observed DLTs at a dose... |
| StoppingHighestDose | Initialization function for "StoppingHighestDose" |
| StoppingHighestDose-class | Stop when the highest dose is reached |
| StoppingList | Initialization function for "StoppingList" |
| StoppingList-class | Stop based on multiple stopping rules |
| StoppingLowestDoseHSRBeta-class | 'StoppingLowestDoseHSRBeta' |
| StoppingLowestDoseHSRBeta_DK | Initialization function for "StoppingLowestDoseHSRBeta_DK" |
| StoppingLowestDoseHSRBeta_DK-class | Stop based on the lowest dose meeting the hard safety... |
| StoppingMinCohorts | Initialization function for "StoppingMinCohorts" |
| StoppingMinCohorts-class | Stop based on minimum number of cohorts |
| StoppingMinPatients | Initialization function for "StoppingMinPatients" |
| StoppingMinPatients-class | Stop based on minimum number of patients |
| StoppingMTDCV-class | 'StoppingMTDCV' |
| StoppingMTDdistribution | Initialization function for "StoppingMTDdistribution" |
| StoppingMTDdistributionBay | Initialization function for "StoppingMTDdistributionBay" |
| StoppingMTDdistributionBay-class | stopping rule based on the posterior distribution |
| StoppingMTDdistribution-class | Stop based on MTD distribution |
| StoppingPatientsNearDose | Initialization function for "StoppingPatientsNearDose" |
| StoppingPatientsNearDose2 | Initialization function for "StoppingPatientsNearDose2" |
| StoppingPatientsNearDose2-class | Stop based on number of patients near to next best dose !! No... |
| StoppingPatientsNearDoseBay | Initialization function for "StoppingPatientsNearDose" |
| StoppingPatientsNearDoseBay-class | Stop based on number of patients near to next best dose |
| StoppingPatientsNearDose-class | Stop based on number of patients near to next best dose |
| StoppingProbBay | Initialization function for "StoppingProbBay" |
| StoppingProbBay-class | Stopping rule based on the posterior probability of the full... |
| StoppingTargetBiomarker | Initialization function for 'StoppingTargetBiomarker' |
| StoppingTargetBiomarker-class | Stop based on probability of target biomarker |
| StoppingTargetProb | Initialization function for "StoppingTargetProb" |
| StoppingTargetProb-class | Stop based on probability of target tox interval |
| StoppingTargetProbPatientsNearHighestDose | Initialization function for... |
| StoppingTargetProbPatientsNearHighestDose-class | Stop based on number of patients near to next best dose |
| StoppingTargetProbPatientsNearLowestDose | Initialization function for... |
| StoppingTargetProbPatientsNearLowestDose-class | Stop based on number of patients near to next best dose |
| StoppingTDCIRatio | Initialization function for "StoppingTDCIRatio" |
| StoppingTDCIRatio-class | Stop based on a target ratio, the ratio of the upper to the... |
| stopTrial | Stop the trial? |
| summary-DualSimulations-method | Summarize the dual-endpoint design simulations, relative to... |
| summary-GeneralSimulationsBay-method | Summarize the simulations, relative to a given truth |
| summary-GeneralSimulations-method | Summarize the simulations, relative to a given truth |
| summary-PseudoDualFlexiSimulations-method | Summary for Pseudo Dual responses simulations given a pseudo... |
| summary-PseudoDualSimulations-method | Summary for Pseudo Dual responses simulations, relative to a... |
| summary-PseudoSimulations-method | Summarize the simulations, relative to a given truth |
| summary-SimulationsBay-method | Summarize the model-based design simulations, relative to a... |
| summary-Simulations-method | Summarize the model-based design simulations, relative to a... |
| TDDesign | Initialization function for 'TDDesign' class |
| TDDesign-class | Design class using DLE responses only based on the pseudo DLE... |
| TDsamplesDesign | Initialization function for 'TDsamplesDesign' class |
| TDsamplesDesign-class | This is a class of design based only on DLE responses using... |
| ThreePlusThreeDesign | Creates a new 3+3 design object from a dose grid |
| TITELogisticLogNormal | Initialization function for the 'TITELogisticLogNormal' class |
| TITELogisticLogNormal-class | Standard logistic model with bivariate (log) normal prior... |
| TwoParBay | Initialization function for the "TwoParBay" class |
| TwoParBay-class | Standard two parameter model |
| TwoParBayS | Initialization function for the "TwoParBayS" class |
| TwoParBayS-class | Implementation of the two parameter logistic model without... |
| update-DataDA-method | Updating 'DataDA' Objects |
| update-DataDual-method | Updating 'DataDual' Objects |
| update-Data-method | Updating 'Data' Objects |
| update-DataParts-method | Updating 'DataParts' Objects |
| update-EffFlexi-method | Update method for the 'EffFlexi' Model class. This is a... |
| update-Effloglog-method | Update method for the 'Effloglog' Model class. This is a... |
| update-LogisticIndepBeta-method | Update method for the 'LogisticIndepBeta'Model class. This is... |
| Validate | 'Validate' |
| validate_data_objects | Internal Helper Functions for Validation of 'GeneralData'... |
| validate_increments | Internal Helper Functions for Validation of 'Increments'... |
| validate_mcmcoptions_objects | Internal Helper Functions for Validation of 'McmcOptions'... |
| validate_model_objects | Internal Helper Functions for Validation of 'AllModels'... |
| validate_stopping | Internal Helper Functions for Validation of 'Stopping'... |
| windowLength | Determine the safety window length of the next cohort |
