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DynTxRegime
Methods for Estimating Optimal Dynamic Treatment Regimes
View on CRAN: Click
here
Download and install DynTxRegime package within the R console
Install from CRAN:
install.packages("DynTxRegime")
Install from Github:
library("remotes")
install_github("cran/DynTxRegime") Install by package version:
library("remotes")
install_version("DynTxRegime", "4.16") Attach the package and use:
library("DynTxRegime")
Maintained by
Shannon T. Holloway
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-06-11
Latest Update: 2025-05-03
Description:
Methods to estimate dynamic treatment regimes using Interactive
Q-Learning, Q-Learning, weighted learning, and value-search methods based on
Augmented Inverse Probability Weighted Estimators and Inverse Probability
Weighted Estimators. Dynamic Treatment Regimes: Statistical Methods for
Precision Medicine, Tsiatis, A. A., Davidian, M. D., Holloway, S. T., and Laber, E. B.,
Chapman & Hall/CRC Press, 2020, ISBN:978-1-4987-6977-8.
How to cite:
Shannon T. Holloway (2015). DynTxRegime: Methods for Estimating Optimal Dynamic Treatment Regimes. R package version 4.16, https://cran.r-project.org/web/packages/DynTxRegime. Accessed 09 Sep. 2026.
Previous versions and publish date:
2.1 (2015-06-11 07:27), 3.0 (2017-05-16 01:32), 3.01 (2017-05-22 01:04), 3.2 (2018-02-12 21:31), 4.0 (2019-02-26 23:50), 4.1 (2019-03-21 14:53), 4.2 (2019-10-17 07:30), 4.3 (2019-12-13 17:40), 4.4 (2020-06-05 20:50), 4.5 (2020-06-27 20:30), 4.6 (2020-07-04 06:30), 4.7 (2020-07-22 06:42), 4.8 (2020-10-16 08:20), 4.9 (2020-11-09 20:10), 4.10 (2022-06-07 14:20), 4.11 (2022-09-29 17:10), 4.12 (2023-04-25 16:50), 4.14 (2023-08-29 15:30), 4.15 (2023-11-24 18:10), (2026-07-09 08:02)
Other packages that cited DynTxRegime R package
View DynTxRegime citation profile
Other R packages that DynTxRegime depends,
imports, suggests or enhances
Complete documentation for DynTxRegime
Functions, R codes and Examples using
the DynTxRegime R package
Some associated functions: BOWL-class . BOWL-methods . BOWLBasic-class . BOWLBasic-methods . BOWLObj-class . CVBasic-class . CVInfo-class . CVInfo-methods . CVInfo2Par-class . CVInfo2Par-methods . CVInfoLambda-class . CVInfoLambda-methods . CVInfoObj-class . CVInfoObj-methods . CVInfokParam-class . CVInfokParam-methods . Call . ClassificationFit-class . ClassificationFit-methods . ClassificationFit_SubsetList-class . ClassificationFit_SubsetList-methods . ClassificationFit_fSet-class . ClassificationFit_fSet-methods . ClassificationObj-class . ClassificationObj-methods . DTRstep . DecisionPointList-class . DecisionPointList-methods . DynTxRegime-class . DynTxRegime-internal-api . DynTxRegime-methods . EARL-class . EARL-methods . ExpSurrogate-class . ExpSurrogate-methods . HingeSurrogate-class . HingeSurrogate-methods . HuberHingeSurrogate-class . HuberHingeSurrogate-methods . IQLearnFS-class . IQLearnFS-methods . IQLearnFS_C-class . IQLearnFS_C-methods . IQLearnFS_ME-class . IQLearnFS_ME-methods . IQLearnFS_VHet-class . IQLearnFS_VHet-methods . IQLearnSS-class . IQLearnSS-methods . Kernel-class . Kernel-methods . KernelObj-class . KernelObj-methods . Learning-class . Learning-methods . LearningMulti-class . LearningMulti-methods . LearningObject-class . LearningObject-methods . LinearKernel-class . LinearKernel-methods . List-class . LogitSurrogate-class . LogitSurrogate-methods . MethodObject-class . MethodObject-methods . ModelObjSubset-class . ModelObjSubset-methods . ModelObj_DecisionPointList-class . ModelObj_SubsetList-class . MultiRadialKernel-class . MultiRadialKernel-methods . OWL-class . OWL-methods . OptimBasic-class . OptimBasic-methods . OptimKernel-class . OptimKernel-methods . OptimObj-class . OptimObj-methods . OptimStep-class . OptimStep-methods . OptimStep . OptimalClass-class . OptimalClass-methods . OptimalClassObj-class . OptimalInfo-class . OptimalInfo-methods . OptimalObj-class . OptimalObj-methods . OptimalSeq-class . OptimalSeq-methods . OptimalSeqCoarsened-class . OptimalSeqCoarsened-methods . OptimalSeqMissing-class . OptimalSeqMissing-methods . OutcomeIterateFit-class . OutcomeIterateFit-methods . OutcomeNoFit-class . OutcomeNoFit-methods . OutcomeObj-class . OutcomeObj-methods . OutcomeSimpleFit-class . OutcomeSimpleFit-methods . OutcomeSimpleFit_SubsetList-class . OutcomeSimpleFit_SubsetList-methods . OutcomeSimpleFit_fSet-class . OutcomeSimpleFit_fSet-methods . PolyKernel-class . PolyKernel-methods . PropensityFit-class . PropensityFit-methods . PropensityFit_SubsetList-class . PropensityFit_SubsetList-methods . PropensityFit_fSet-class . PropensityFit_fSet-methods . PropensityObj-class . PropensityObj-methods . QLearn-class . QLearnObj-class . RWL-class . RWL-methods . RadialKernel-class . RadialKernel-methods . Regime-class . Regime-methods . RegimeObj-class . RegimeObj-methods . SmoothRampSurrogate-class . SmoothRampSurrogate-methods . SqHingeSurrogate-class . SqHingeSurrogate-methods . SubsetList-class . SubsetList-methods . Surrogate-class . Surrogate-methods . TxInfoBasic-class . TxInfoBasic-methods . TxInfoFactor-class . TxInfoFactor-methods . TxInfoInteger-class . TxInfoInteger-methods . TxInfoList-methods . TxInfoList . TxInfoNoSubsets-class . TxInfoNoSubsets-methods . TxInfoWithSubsets-class . TxInfoWithSubsets-methods . TxObj-class . TxObj-methods . TxSubset-class . TxSubset-methods . TxSubsetFactor-class . TxSubsetFactor-methods . TxSubsetInteger-class . TxSubsetInteger-methods . TypedFit-class . TypedFit-methods . TypedFitObj-class . TypedFitObj-methods . TypedFit_SubsetList-class . TypedFit_SubsetList-methods . TypedFit_fSet-class . TypedFit_fSet-methods . bmiData . bowl . buildModelObjSubset . classif . coef . createearl . createowl . createrwl . cvInfo . cycleList . dot-optimalClass . earl . estimator . fSet . fitObject . fittedCont . fittedMain . genetic . getOutcome . getPrWgt . internal-earl-class . internal-earl-methods . internal-owl-class . internal-owl-methods . internal-rwl-class . internal-rwl-methods . iqLearn . iter . moPropen . newBOWL . newBOWLStep . newCVInfo . newCVInfoObj . newCVStep . newClassificationFit . newClassificationObj . newEARL . newIQLearnFS_C . newIQLearnFS_ME . newIQLearnFS_VHet . newIQLearnSS . newKernelObj . newLearning . newModel . newModelObjSubset . newOWL . newOptim . newOptimObj . newOptimalClass . newOptimalSeq . newOutcomeFit . newOutcomeObj . newPropensityFit . newPropensityObj . newQLearn . newRWL-methods . newRWL . newRegime . newRegimeObj . newTxObj . newTxSubset . newTypedFit . newTypedFitObj . optTx . optimObj . optimalClass . optimalSeq . outcome . owl . plot . propen . qLearn . regimeCoef . residuals . rwl . sd . seqFunc . summary .
Some associated R codes: A_DecisionPointList.R . A_DynTxRegime.R . A_List.R . A_ModelObjSubset.R . A_ModelObj_DecisionPointList.R . A_ModelObj_SubsetList.R . A_OptimalInfo.R . A_OptimalObj.R . A_SubsetList.R . A_generics.R . A_newModelObjSubset.R . B_TxInfoBasic.R . B_TxInfoFactor.R . B_TxInfoInteger.R . B_TxInfoList.R . B_TxInfoNoSubsets.R . B_TxInfoWithSubsets.R . B_TxObj.R . B_TxSubset.R . B_TxSubsetFactor.R . B_TxSubsetInteger.R . C_TypedFit.R . C_TypedFitObj.R . C_TypedFit_SubsetList.R . C_TypedFit_fSet.R . D_OutcomeIterateFit.R . D_OutcomeNoFit.R . D_OutcomeObj.R . D_OutcomeSimpleFit.R . D_OutcomeSimpleFit_SubsetList.R . D_OutcomeSimpleFit_fSet.R . D_newModel.R . E_class_IQLearnFS.R . E_class_IQLearnFS_C.R . E_class_IQLearnFS_ME.R . E_class_IQLearnFS_VHet.R . E_class_IQLearnSS.R . E_class_QLearn.R . E_iqLearnFSC.R . E_iqLearnFSM.R . E_iqLearnFSV.R . E_iqLearnSS.R . E_qLearn.R . F_PropensityFit.R . F_PropensityFit_SubsetList.R . F_PropensityFit_fSet.R . F_PropensityObj.R . G_Regime.R . G_RegimeObj.R . H_class_OptimalSeq.R . H_class_OptimalSeqCoarsened.R . H_class_OptimalSeqMissing.R . H_optimalSeq.R . I_ClassificationFit.R . I_ClassificationFit_SubsetList.R . I_ClassificationFit_fSet.R . I_ClassificationObj.R . J_class_OptimalClass.R . J_optimalClass.R . K_Kernel.R . K_KernelObj.R . K_LinearKernel.R . K_MultiRadialKernel.R . K_PolyKernel.R . K_RadialKernel.R . L_ExpSurrogate.R . L_HingeSurrogate.R . L_HuberHingeSurrogate.R . L_LogitSurrogate.R . L_SmoothRampSurrogate.R . L_SqHingeSurrogate.R . L_Surrogate.R . M_MethodObject.R . M_OptimBasic.R . M_OptimKernel.R . M_OptimObj.R . N_CVBasic.R . N_CVInfo.R . N_CVInfo2Par.R . N_CVInfoLambda.R . N_CVInfoObj.R . N_CVInfokParam.R . N_OptimStep.R . O_Learning.R . O_LearningMulti.R . O_LearningObject.R . P_class_.owl.R . P_class_OWL.R . P_owl.R . Q_class_.rwl.R . Q_class_RWL.R . Q_rwl.R . R_bowl.R . R_class_BOWL.R . R_class_BOWLBasic.R . S_class_.earl.R . S_class_EARL.R . S_earl.R . checkFSetAndOutcomeModels.R . checkFSetAndPropensityModels.R . checkInputs.R . internalTest.R . titleIt.R . Full DynTxRegime package functions and examples
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