Implements a wide range of model-based dose escalation designs, ranging from classical and modern continual reassessment methods (CRMs) based on dose-limiting toxicity endpoints to dual-endpoint designs taking into account a biomarker/efficacy outcome. The focus is on Bayesian inference, making it very easy to setup a new design with its own JAGS code. However, it is also possible to implement 3+3 designs for comparison or models with non-Bayesian estimation. The whole package is written in a modular form in the S4 class system, making it very flexible for adaptation to new models, escalation or stopping rules.

Author | Daniel Sabanes Bove <sabanesd@roche.com>, Wai Yin Yeung <winnie.yeung@roche.com>, Giuseppe Palermo <giuseppe.palermo@roche.com>, Thomas Jaki <jaki.thomas@gmail.com> |

Date of publication | 2016-07-16 23:06:48 |

Maintainer | Daniel Sabanes Bove <sabanesd@roche.com> |

License | GPL (>= 2) |

Version | 0.2.0 |

**AllModels-class:** Class for All models This is a class where all models...

**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

**as.list-GeneralData-method:** as.list method for the "GeneralData" class

**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

**Data:** Initialization function for the "Data" class

**Data-class:** Class for the data input

**DataDual:** Initialization function for the "DataDual" class

**DataDual-class:** Class for the dual endpoint data input

**DataMixture:** Initialization function for the "DataMixture" class

**DataMixture-class:** Class for the data with mixture sharing

**DataParts:** Initialization function for the "DataParts" class

**DataParts-class:** Class for the data with two study parts

**Design:** Initialization function for "Design"

**Design-class:** 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"

**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...

**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...

**GeneralData-class:** Class for general data input

**GeneralModel-class:** No Intitialization function for this General class for model...

**GeneralSimulations:** Initialization function for "GeneralSimulations"

**GeneralSimulations-class:** General class for the simulations output

**GeneralSimulationsSummary-class:** 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

**get-Samples-character-method:** Get specific parameter samples and produce a data.frame

**Increments-class:** The virtual class for controlling increments

**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...

**IncrementsRelativeParts:** Initialization function for "IncrementsRelativeParts"

**IncrementsRelativeParts-class:** Increments control based on relative differences in...

**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.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

**LogisticIndepBeta-class:** No initialization function Standard logistic model with prior...

**LogisticKadane:** Initialization function for the "LogisticKadane" class

**LogisticKadane-class:** Reparametrized logistic model

**LogisticLogNormal:** Initialization function for the "LogisticLogNormal" class

**LogisticLogNormal-class:** Standard logistic model with bivariate (log) normal prior

**LogisticLogNormalMixture:** Initialization function for the "LogisticLogNormalMixture"...

**LogisticLogNormalMixture-class:** Standard logistic model with online mixture of two bivariate...

**LogisticLogNormalSub:** Initialization function for the "LogisticLogNormalSub" class

**LogisticLogNormalSub-class:** Standard logistic model with bivariate (log) normal prior...

**LogisticNormal:** Initialization function for the "LogisticNormal" class

**LogisticNormal-class:** Standard logistic model with bivariate normal prior

**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

**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

**McmcOptions-class:** Class for the three canonical MCMC options

**MinimalInformative:** Construct a minimally informative prior

**minSize:** "MIN" combination of cohort size rules

**Model-class:** Class for the model input

**ModelEff-class:** No Initialization function class for Efficacy models using...

**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

**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...

**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...

**NextBestMTD:** Initialization function for class "NextBestMTD"

**NextBestMTD-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...

**noOverlap:** Check overlap of two character vectors

**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-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-DualEndpoint-method:** Plotting dose-toxicity and dose-biomarker model fits

**plot-Samples-ModelEff-method:** Plot the fitted dose-effcacy 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:** Compute the probability for a given dose, given model and...

**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:** This is a class which captures the trial simulations design...

**PseudoDualSimulationsSummary-class:** Class for the summary of the dual responses simulations using...

**PseudoSimulations:** Initialization function of the 'PseudoSimulations' class

**PseudoSimulations-class:** This is a class which captures the trial simulations from...

**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

**Samples:** Initialization function for "Samples"

**Samples-class:** 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

**show-DualSimulationsSummary-method:** Show the summary of the dual-endpoint 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-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

**Simulations-class:** Class for the simulations output from model based designs

**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 fullfillment of all multiple stopping rules

**StoppingAny:** Initialization function for "StoppingAny"

**StoppingAny-class:** Stop based on fullfillment of any stopping rule

**Stopping-class:** The virtual class for stopping rules

**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...

**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

**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

**StoppingMTDdistribution:** Initialization function for "StoppingMTDdistribution"

**StoppingMTDdistribution-class:** Stop based on MTD distribution

**StoppingPatientsNearDose:** Initialization function for "StoppingPatientsNearDose"

**StoppingPatientsNearDose-class:** Stop based on number of patients near to next best dose

**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

**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-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-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

**update-DataDual-method:** Update method for the "DataDual" class

**update-Data-method:** Update method for the "Data" class

**update-DataParts-method:** Update method for the "DataParts" class

**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:** A Reference Class to help programming validation for new S4...

**writeModel:** Creating a WinBUGS model file

crmPack

crmPack/TODO

crmPack/inst

crmPack/inst/crmPack.pdf

crmPack/inst/NEWS

crmPack/inst/doc

crmPack/inst/doc/example.R

crmPack/inst/doc/example.Rnw

crmPack/inst/doc/example.pdf

crmPack/NAMESPACE

crmPack/R

crmPack/R/Model-class.R
crmPack/R/Rules-class.R
crmPack/R/Samples-class.R
crmPack/R/helpers.R
crmPack/R/McmcOptions-methods.R
crmPack/R/Data-methods.R
crmPack/R/Simulations-methods.R
crmPack/R/McmcOptions-class.R
crmPack/R/fromQuantiles.R
crmPack/R/writeModel.R
crmPack/R/Model-methods.R
crmPack/R/Simulations-class.R
crmPack/R/Samples-methods.R
crmPack/R/Design-methods.R
crmPack/R/crmPack-package.R
crmPack/R/Data-class.R
crmPack/R/Rules-methods.R
crmPack/R/mcmc.R
crmPack/R/Design-class.R
crmPack/vignettes

crmPack/vignettes/tikzlibrarypositioning-plus.code.tex

crmPack/vignettes/Sweave.pdf

crmPack/vignettes/example.bib

crmPack/vignettes/example.Rnw

crmPack/vignettes/mySweave.sty

crmPack/vignettes/auto

crmPack/vignettes/auto/example.el

crmPack/vignettes/package-concordance.tex

crmPack/MD5

crmPack/build

crmPack/build/vignette.rds

crmPack/DESCRIPTION

crmPack/ChangeLog

crmPack/man

crmPack/man/DualEndpointBeta-class.Rd
crmPack/man/plot-Samples-Model-method.Rd
crmPack/man/setSeed.Rd
crmPack/man/DualResponsesSamplesDesign.Rd
crmPack/man/show-PseudoDualSimulationsSummary-method.Rd
crmPack/man/GeneralSimulations-class.Rd
crmPack/man/NextBestMaxGain.Rd
crmPack/man/IncrementsRelativeParts-class.Rd
crmPack/man/StoppingMinPatients-class.Rd
crmPack/man/StoppingList-class.Rd
crmPack/man/StoppingAll-class.Rd
crmPack/man/NextBestTD-class.Rd
crmPack/man/fit.Rd
crmPack/man/CohortSizeMin-class.Rd
crmPack/man/RuleDesign-class.Rd
crmPack/man/LogisticIndepBeta.Rd
crmPack/man/update-DataParts-method.Rd
crmPack/man/IncrementsRelativeDLT.Rd
crmPack/man/LogisticNormalFixedMixture.Rd
crmPack/man/DualResponsesDesign-class.Rd
crmPack/man/crmPackExample.Rd
crmPack/man/NextBestDualEndpoint-class.Rd
crmPack/man/NextBestTD.Rd
crmPack/man/PseudoSimulationsSummary-class.Rd
crmPack/man/LogisticNormal-class.Rd
crmPack/man/LogisticLogNormalMixture.Rd
crmPack/man/Effloglog-class.Rd
crmPack/man/is.scalar.Rd
crmPack/man/StoppingTargetBiomarker-class.Rd
crmPack/man/StoppingTargetProb-class.Rd
crmPack/man/StoppingAll.Rd
crmPack/man/nextBest.Rd
crmPack/man/or-Stopping-StoppingAny.Rd
crmPack/man/NextBestDualEndpoint.Rd
crmPack/man/PseudoDualSimulationsSummary-class.Rd
crmPack/man/Design.Rd
crmPack/man/NextBestMaxGain-class.Rd
crmPack/man/PseudoDualSimulations-class.Rd
crmPack/man/DualEndpointRW-class.Rd
crmPack/man/stopTrial.Rd
crmPack/man/update-LogisticIndepBeta-method.Rd
crmPack/man/simulate-Design-method.Rd
crmPack/man/simulate-DualResponsesDesign-method.Rd
crmPack/man/summary-GeneralSimulations-method.Rd
crmPack/man/Quantiles2LogisticNormal.Rd
crmPack/man/Data-class.Rd
crmPack/man/Simulations.Rd
crmPack/man/CohortSizeMax-class.Rd
crmPack/man/ModelTox-class.Rd
crmPack/man/Samples.Rd
crmPack/man/IncrementsRelative.Rd
crmPack/man/plot-DataDual-ModelEff-method.Rd
crmPack/man/NextBestTDsamples-class.Rd
crmPack/man/DualSimulationsSummary-class.Rd
crmPack/man/plot.gtable.Rd
crmPack/man/NextBestThreePlusThree-class.Rd
crmPack/man/plotGain.Rd
crmPack/man/LogisticNormalMixture.Rd
crmPack/man/StoppingPatientsNearDose-class.Rd
crmPack/man/writeModel.Rd
crmPack/man/is.probability.Rd
crmPack/man/PseudoDualFlexiSimulations.Rd
crmPack/man/Design-class.Rd
crmPack/man/NextBestMaxGainSamples.Rd
crmPack/man/update-Data-method.Rd
crmPack/man/NextBestNCRM.Rd
crmPack/man/show-GeneralSimulationsSummary-method.Rd
crmPack/man/is.wholenumber.Rd
crmPack/man/LogisticLogNormalMixture-class.Rd
crmPack/man/Effloglog.Rd
crmPack/man/CohortSizeMax.Rd
crmPack/man/GeneralData-class.Rd
crmPack/man/StoppingPatientsNearDose.Rd
crmPack/man/LogisticNormalMixture-class.Rd
crmPack/man/TDsamplesDesign-class.Rd
crmPack/man/plot-DualSimulationsSummary-missing-method.Rd
crmPack/man/RuleDesign.Rd
crmPack/man/DualEndpointEmax.Rd
crmPack/man/StoppingHighestDose-class.Rd
crmPack/man/minSize.Rd
crmPack/man/PseudoDualSimulations.Rd
crmPack/man/summary-PseudoDualFlexiSimulations-method.Rd
crmPack/man/StoppingList.Rd
crmPack/man/ExpEff.Rd
crmPack/man/get-Samples-character-method.Rd
crmPack/man/prob.Rd
crmPack/man/NextBestNCRM-class.Rd
crmPack/man/or-Stopping-Stopping.Rd
crmPack/man/DataParts-class.Rd
crmPack/man/DataDual.Rd
crmPack/man/EffFlexi-class.Rd
crmPack/man/Model-class.Rd
crmPack/man/plot-DualSimulations-missing-method.Rd
crmPack/man/safeInteger.Rd
crmPack/man/DataParts.Rd
crmPack/man/initialize-DualEndpointOld-method.Rd
crmPack/man/Simulations-class.Rd
crmPack/man/StoppingAny-class.Rd
crmPack/man/EffFlexi.Rd
crmPack/man/DualSimulations-class.Rd
crmPack/man/ModelPseudo-class.Rd
crmPack/man/plot-PseudoDualSimulationsSummary-missing-method.Rd
crmPack/man/gain.Rd
crmPack/man/summary-DualSimulations-method.Rd
crmPack/man/dose.Rd
crmPack/man/show-SimulationsSummary-method.Rd
crmPack/man/joinBodies.Rd
crmPack/man/CohortSizeConst-class.Rd
crmPack/man/update-DataDual-method.Rd
crmPack/man/DualEndpoint.Rd
crmPack/man/and-Stopping-Stopping-method.Rd
crmPack/man/joinModels.Rd
crmPack/man/Validate.Rd
crmPack/man/plot-Samples-ModelEff-method.Rd
crmPack/man/examine.Rd
crmPack/man/summary-Simulations-method.Rd
crmPack/man/plotDualResponses.Rd
crmPack/man/AllModels-class.Rd
crmPack/man/LogisticLogNormalSub.Rd
crmPack/man/StoppingCohortsNearDose-class.Rd
crmPack/man/show-PseudoSimulationsSummary-method.Rd
crmPack/man/maxSize.Rd
crmPack/man/IncrementsRelative-class.Rd
crmPack/man/approximate.Rd
crmPack/man/ThreePlusThreeDesign.Rd
crmPack/man/biomLevel.Rd
crmPack/man/or-StoppingAny-Stopping.Rd
crmPack/man/DualDesign.Rd
crmPack/man/CohortSizeParts-class.Rd
crmPack/man/LogisticKadane-class.Rd
crmPack/man/logit.Rd
crmPack/man/CohortSize-class.Rd
crmPack/man/qinvGamma.Rd
crmPack/man/IncrementsRelativeParts.Rd
crmPack/man/GeneralSimulationsSummary-class.Rd
crmPack/man/StoppingGstarCIRatio-class.Rd
crmPack/man/DualResponsesSamplesDesign-class.Rd
crmPack/man/and-Stopping-StoppingAll-method.Rd
crmPack/man/CohortSizeConst.Rd
crmPack/man/LogisticKadane.Rd
crmPack/man/DualDesign-class.Rd
crmPack/man/CohortSizeDLT-class.Rd
crmPack/man/DualSimulations.Rd
crmPack/man/simulate-TDDesign-method.Rd
crmPack/man/PseudoSimulations-class.Rd
crmPack/man/DataMixture-class.Rd
crmPack/man/getMinInfBeta.Rd
crmPack/man/DualEndpointOld-class.Rd
crmPack/man/dinvGamma.Rd
crmPack/man/NextBestMTD-class.Rd
crmPack/man/StoppingMTDdistribution-class.Rd
crmPack/man/plot-Samples-ModelTox-method.Rd
crmPack/man/StoppingMinCohorts-class.Rd
crmPack/man/StoppingHighestDose.Rd
crmPack/man/TDDesign-class.Rd
crmPack/man/DataDual-class.Rd
crmPack/man/LogisticLogNormalSub-class.Rd
crmPack/man/CohortSizeDLT.Rd
crmPack/man/Data.Rd
crmPack/man/myBarplot.Rd
crmPack/man/Increments-class.Rd
crmPack/man/StoppingTargetProb.Rd
crmPack/man/simulate-RuleDesign-method.Rd
crmPack/man/size.Rd
crmPack/man/CohortSizeRange-class.Rd
crmPack/man/maxDose.Rd
crmPack/man/plot-Data-ModelTox-method.Rd
crmPack/man/multiplot.Rd
crmPack/man/StoppingMinCohorts.Rd
crmPack/man/NextBestMaxGainSamples-class.Rd
crmPack/man/plot-PseudoDualFlexiSimulations-missing-method.Rd
crmPack/man/update-EffFlexi-method.Rd
crmPack/man/StoppingTargetBiomarker.Rd
crmPack/man/noOverlap.Rd
crmPack/man/getEff.Rd
crmPack/man/LogisticIndepBeta-class.Rd
crmPack/man/StoppingMTDdistribution.Rd
crmPack/man/plot-Data-missing-method.Rd
crmPack/man/ModelEff-class.Rd
crmPack/man/NextBestMTD.Rd
crmPack/man/printVignette.Rd
crmPack/man/plot-GeneralSimulations-missing-method.Rd
crmPack/man/update-Effloglog-method.Rd
crmPack/man/Samples-class.Rd
crmPack/man/StoppingTDCIRatio-class.Rd
crmPack/man/plot-PseudoDualSimulations-missing-method.Rd
crmPack/man/DualEndpointBeta.Rd
crmPack/man/PseudoDualFlexiSimulations-class.Rd
crmPack/man/and-StoppingAll-Stopping-method.Rd
crmPack/man/summary-PseudoSimulations-method.Rd
crmPack/man/StoppingTDCIRatio.Rd
crmPack/man/DualEndpoint-class.Rd
crmPack/man/DualEndpointEmax-class.Rd
crmPack/man/DataMixture.Rd
crmPack/man/MinimalInformative.Rd
crmPack/man/TDDesign.Rd
crmPack/man/PseudoSimulations.Rd
crmPack/man/crmPack-package.Rd
crmPack/man/DualEndpointRW.Rd
crmPack/man/IncrementsRelativeDLT-class.Rd
crmPack/man/StoppingCohortsNearDose.Rd
crmPack/man/McmcOptions-class.Rd
crmPack/man/CohortSizeRange.Rd
crmPack/man/is.probRange.Rd
crmPack/man/sampleSize.Rd
crmPack/man/LogisticLogNormal-class.Rd
crmPack/man/plot-SimulationsSummary-missing-method.Rd
crmPack/man/rinvGamma.Rd
crmPack/man/LogisticNormal.Rd
crmPack/man/crmPackHelp.Rd
crmPack/man/CohortSizeParts.Rd
crmPack/man/plot-PseudoSimulationsSummary-missing-method.Rd
crmPack/man/simulate-DualResponsesSamplesDesign-method.Rd
crmPack/man/as.list-GeneralData-method.Rd
crmPack/man/GeneralSimulations.Rd
crmPack/man/GeneralModel-class.Rd
crmPack/man/summary-PseudoDualSimulations-method.Rd
crmPack/man/Stopping-class.Rd
crmPack/man/is.bool.Rd
crmPack/man/Report.Rd
crmPack/man/NextBestTDsamples.Rd
crmPack/man/StoppingMinPatients.Rd
crmPack/man/saveSample.Rd
crmPack/man/LogisticNormalFixedMixture-class.Rd
crmPack/man/plot-DataDual-missing-method.Rd
crmPack/man/fitGain.Rd
crmPack/man/DualResponsesDesign.Rd
crmPack/man/simulate-TDsamplesDesign-method.Rd
crmPack/man/show-DualSimulationsSummary-method.Rd
crmPack/man/NextBest-class.Rd
crmPack/man/StoppingGstarCIRatio.Rd
crmPack/man/CohortSizeMin.Rd
crmPack/man/simulate-DualDesign-method.Rd
crmPack/man/pinvGamma.Rd
crmPack/man/McmcOptions.Rd
crmPack/man/NextBestThreePlusThree.Rd
crmPack/man/LogisticLogNormal.Rd
crmPack/man/getResultList.Rd
crmPack/man/SimulationsSummary-class.Rd
crmPack/man/plot-GeneralSimulationsSummary-missing-method.Rd
crmPack/man/TDsamplesDesign.Rd
crmPack/man/StoppingAny.Rd
crmPack/man/mcmc.Rd
crmPack/man/plot-Samples-DualEndpoint-method.Rd
Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.

All documentation is copyright its authors; we didn't write any of that.