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crmPack  

Object-Oriented Implementation of CRM Designs
View on CRAN: Click here


Download and install crmPack package within the R console
Install from CRAN:
install.packages("crmPack")

Install from Github:
library("remotes")
install_github("cran/crmPack")

Install by package version:
library("remotes")
install_version("crmPack", "1.0.6")



Attach the package and use:
library("crmPack")
Maintained by
Daniel Sabanes Bove
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-11-12
Latest Update: 2022-09-02
Description:
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.
How to cite:
Daniel Sabanes Bove (2015). crmPack: Object-Oriented Implementation of CRM Designs. R package version 1.0.6, https://cran.r-project.org/web/packages/crmPack. Accessed 22 Dec. 2024.
Previous versions and publish date:
0.1.5 (2015-11-12 13:27), 0.1.6 (2015-12-22 20:51), 0.1.7 (2016-01-26 00:35), 0.1.8 (2016-02-17 12:08), 0.1.9 (2016-02-29 18:39), 0.2.0 (2016-07-16 23:06), 0.2.1 (2017-05-03 22:57), 0.2.6 (2018-02-16 00:04), 0.2.7 (2018-03-13 18:03), 0.2.9 (2018-12-21 15:30), 1.0.0 (2019-06-13 09:30), 1.0.2 (2022-04-25 18:20), 1.0.3 (2022-09-03 01:00), 1.0.4 (2024-01-23 21:12), 1.0.5 (2024-02-04 22:20)
Other packages that cited crmPack R package
View crmPack citation profile
Other R packages that crmPack depends, imports, suggests or enhances
Complete documentation for crmPack
Functions, R codes and Examples using the crmPack R package
Some associated functions: AllModels-class . CohortSize-class . CohortSizeConst-class . CohortSizeConst . CohortSizeDLT-class . CohortSizeDLT . CohortSizeMax-class . CohortSizeMax . CohortSizeMin-class . CohortSizeMin . CohortSizeParts-class . CohortSizeParts . CohortSizeRange-class . CohortSizeRange . Data-class . Data . DataDual-class . DataDual . DataMixture-class . DataMixture . DataParts-class . DataParts . Design-class . Design . DualDesign-class . DualDesign . DualEndpoint-class . DualEndpoint . DualEndpointBeta-class . DualEndpointBeta . DualEndpointEmax-class . DualEndpointEmax . DualEndpointOld-class . DualEndpointRW-class . DualEndpointRW . DualResponsesDesign-class . DualResponsesDesign . DualResponsesSamplesDesign-class . DualResponsesSamplesDesign . DualSimulations-class . DualSimulations . DualSimulationsSummary-class . EffFlexi-class . EffFlexi . Effloglog-class . Effloglog . ExpEff . GeneralData-class . GeneralModel-class . GeneralSimulations-class . GeneralSimulations . GeneralSimulationsSummary-class . IncrementMin-class . IncrementMin . Increments-class . IncrementsNumDoseLevels-class . IncrementsNumDoseLevels . IncrementsRelative-class . IncrementsRelative . IncrementsRelativeDLT-class . IncrementsRelativeDLT . IncrementsRelativeParts-class . IncrementsRelativeParts . LogisticIndepBeta-class . LogisticIndepBeta . LogisticKadane-class . LogisticKadane . LogisticLogNormal-class . LogisticLogNormal . LogisticLogNormalMixture-class . LogisticLogNormalMixture . LogisticLogNormalSub-class . LogisticLogNormalSub . LogisticNormal-class . LogisticNormal . LogisticNormalFixedMixture-class . LogisticNormalFixedMixture . LogisticNormalMixture-class . LogisticNormalMixture . McmcOptions-class . McmcOptions . MinimalInformative . Model-class . ModelEff-class . ModelPseudo-class . ModelTox-class . NextBest-class . NextBestDualEndpoint-class . NextBestDualEndpoint . NextBestMTD-class . NextBestMTD . NextBestMaxGain-class . NextBestMaxGain . NextBestMaxGainSamples-class . NextBestMaxGainSamples . NextBestNCRM-class . NextBestNCRM . NextBestTD-class . NextBestTD . NextBestTDsamples-class . NextBestTDsamples . NextBestThreePlusThree-class . NextBestThreePlusThree . ProbitLogNormal-class . ProbitLogNormal . PseudoDualFlexiSimulations-class . PseudoDualFlexiSimulations . PseudoDualSimulations-class . PseudoDualSimulations . PseudoDualSimulationsSummary-class . PseudoSimulations-class . PseudoSimulations . PseudoSimulationsSummary-class . Quantiles2LogisticNormal . Report . RuleDesign-class . RuleDesign . Samples-class . Samples . Simulations-class . Simulations . SimulationsSummary-class . Stopping-class . StoppingAll-class . StoppingAll . StoppingAny-class . StoppingAny . StoppingCohortsNearDose-class . StoppingCohortsNearDose . StoppingGstarCIRatio-class . StoppingGstarCIRatio . StoppingHighestDose-class . StoppingHighestDose . StoppingList-class . StoppingList . StoppingMTDdistribution-class . StoppingMTDdistribution . StoppingMinCohorts-class . StoppingMinCohorts . StoppingMinPatients-class . StoppingMinPatients . StoppingPatientsNearDose-class . StoppingPatientsNearDose . StoppingTDCIRatio-class . StoppingTDCIRatio . StoppingTargetBiomarker-class . StoppingTargetBiomarker . StoppingTargetProb-class . StoppingTargetProb . TDDesign-class . TDDesign . TDsamplesDesign-class . TDsamplesDesign . ThreePlusThreeDesign . Validate . and-Stopping-Stopping-method . and-Stopping-StoppingAll-method . and-StoppingAll-Stopping-method . approximate . as.list-GeneralData-method . biomLevel . crmPack-package . crmPackExample . crmPackHelp . dinvGamma . dose . examine . fit . fitGain . gain . get-Samples-character-method . getEff . getMinInfBeta . getResultList . initialize-DualEndpointOld-method . is.bool . is.probRange . is.probability . is.range . is.scalar . is.wholenumber . joinBodies . joinModels . logit . matchTolerance . maxDose . maxSize . mcmc . minSize . multiplot . myBarplot . myBayesLogit . nextBest . noOverlap . or-Stopping-Stopping . or-Stopping-StoppingAny . or-StoppingAny-Stopping . pinvGamma . plot-Data-ModelTox-method . plot-Data-missing-method . plot-DataDual-ModelEff-method . plot-DataDual-missing-method . plot-DualSimulations-missing-method . plot-DualSimulationsSummary-missing-method . plot-GeneralSimulations-missing-method . plot-GeneralSimulationsSummary-missing-method . plot-PseudoDualFlexiSimulations-missing-method . plot-PseudoDualSimulations-missing-method . plot-PseudoDualSimulationsSummary-missing-method . plot-PseudoSimulationsSummary-missing-method . plot-Samples-DualEndpoint-method . plot-Samples-Model-method . plot-Samples-ModelEff-method . plot-Samples-ModelTox-method . plot-SimulationsSummary-missing-method . plot.gtable . plotDualResponses . plotGain . printVignette . prob . probit . qinvGamma . rinvGamma . safeInteger . sampleSize . saveSample . setSeed . show-DualSimulationsSummary-method . show-GeneralSimulationsSummary-method . show-PseudoDualSimulationsSummary-method . show-PseudoSimulationsSummary-method . show-SimulationsSummary-method . simulate-Design-method . simulate-DualDesign-method . simulate-DualResponsesDesign-method . simulate-DualResponsesSamplesDesign-method . simulate-RuleDesign-method . simulate-TDDesign-method . simulate-TDsamplesDesign-method . size . stopTrial . summary-DualSimulations-method . summary-GeneralSimulations-method . summary-PseudoDualFlexiSimulations-method . summary-PseudoDualSimulations-method . summary-PseudoSimulations-method . summary-Simulations-method . update-Data-method . update-DataDual-method . update-DataParts-method . update-EffFlexi-method . update-Effloglog-method . update-LogisticIndepBeta-method . writeModel . 
Some associated R codes: Data-class.R . Data-methods.R . Design-class.R . Design-methods.R . McmcOptions-class.R . McmcOptions-methods.R . Model-class.R . Model-methods.R . Rules-class.R . Rules-methods.R . Samples-class.R . Samples-methods.R . Simulations-class.R . Simulations-methods.R . crmPack-package.R . fromQuantiles.R . helpers.R . mcmc.R . writeModel.R .  Full crmPack package functions and examples
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