Methods for Estimating Optimal Dynamic Treatment Regimes
Class BOWL
Methods Available for Objects of Class BOWL
Backwards Outcome Weighted Learning.
Class BOWLBasic
Methods Available for Objects of Class BOWLBasic
Class BOWLObj
Create Model Objects for Subsets of Data
Retrieve Unevaluated Original Call
Retrieve Classification Regression Analysis
Class ClassificationFit
Methods Available for Objects of Class ClassificationFit
Class ClassificationFit_fSet
Methods Available for Objects of Class ClassificationFit_fSet
Class ClassificationFit_SubsetList
Methods Available for Objects of Class ClassificationFit_SubsetList
Class ClassificationObj
Methods Available for Objects of Class ClassificationObj
Extract Model Coefficients From Objects Returned by Modeling Functions
Create method object for EARL
Create method object for Outcome Weighted Learning
Create method object for Residual Weighted Learning
Class CVBasic
Class CVInfo
Methods Available for Objects of Class CVInfo
Extract Cross-Validation Results
Class CVInfo2Par
Methods Available for Objects of Class CVInfo2Par
Class CVInfokParam
Methods Available for Objects of Class CVInfokParam
Class CVInfoLambda
Methods Available for Objects of Class CVInfoLambda
Class CVInfoObj
Methods Available for Objects of Class CVInfoObj
apply() for List objects
Class DecisionPointList
Methods Available for Objects of Class DecisionPointList
Perform Classification Step
Identify Statistical Method Used to Obtain Result
Class DynTxRegime
Hidden methods
Methods Available for Objects of Class DynTxRegime
Complete First Stage Analysis of Contrasts for Interactive Q-Learning ...
Complete First Stage Analysis of Main Effects for Interactive Q-Learni...
Complete First Stage Analysis of Residuals for Interactive Q-Learning ...
Complete Second Stage Analysis of Interactive Q-Learning Algorithm
Create a KernelObj
Class EARL
Methods Available for Objects of Class EARL
Efficient Augmentation and Relaxation Learning
Retrieve the Estimated Value
Class ExpSurrogate
Methods Available for Objects of Class ExpSurrogate
Objects Returned by Modeling Functions
Retrieve the Fitted Contrast Component from Second Stage IQ-Learning
Retrieve the Fitted Main Effects Component from Second Stage IQ-Learni...
Defining the fSet Input Variable
Retrieve the Genetic Algorithm Results
Retrieve Outcome for Both Tx Options When Tx is Binary
Retrieve Propensity for Tx Received
Class HingeSurrogate
Methods Available for Objects of Class HingeSurrogate
Class HuberHingeSurrogate
Methods Available for Objects of Class HuberHingeSurrogate
Class .earl
Methods Available for Objects of Class .earl
Class .owl
Methods Available for Objects of Class .owl
Class .rwl
Methods Available for Objects of Class .rwl
Interactive Q-Learning
Class IQLearnFS
Methods Available for Objects of Class IQLearnFS
Class IQLearnFS_C
Methods Available for Objects of Class IQLearnFS_C
Class IQLearnFS_ME
Methods Available for Objects of Class IQLearnFS_ME
Class IQLearnFS_VHet
Methods Available for Objects of Class IQLearnFS_VHet
Class IQLearnSS
Methods Available for Objects of Class IQLearnSS
Defining the iter Input Variable
Class Kernel
Methods Available for Objects of Class Kernel
Class KernelObj
Methods Available for Objects of Class KernelObj
Class Learning
Methods Available for Objects of Class Learning
Class LearningMulti
Methods Available for Objects of Class LearningMulti
Class LearningObject
Methods Available for Objects of Class LearningObject
Class LinearKernel
Methods Available for Objects of Class LinearKernel
Class List
Class LogitSurrogate
Methods Available for Objects of Class LogitSurrogate
Class MethodObject
Methods Available for Objects of Class MethodObject
Class ModelObj_DecisionPointList
Class ModelObj_SubsetList
Class ModelObjSubset
Methods Available for Objects of Class ModelObjSubset
Defining the moPropen Input Variable
Class MultiRadialKernel
Methods Available for Objects of Class MultiRadialKernel
Create a BOWL Object for First Step of BOWL Algorithm
Create a BOWL Object
Complete a Classification Regression Step
Create an Object of Class ClassificationFitObj
Create a CVInfo Object
Create a New CVInfoObj Object
An n-Fold Cross Validation Step
Complete an EARL Analysis
Complete a Learning Analysis
Combine model object models
Create Internal Model Objects for Subsets of Data
Complete an Optimization Step
Estimate the Optimal Treatment and Value Using Classification
Complete a the Coarsened/Missing Data Analysis
Create an OptimObj Object
Perform an Outcome Regression Step
Create a new OutcomeObj object
Complete an OWL Analysis
Complete a Propensity Regression Step
Create a new PropensityObj object
Perform a Step of the Q-Learning Algorithm
Create a new Regime object
Create a New RegimeObj Object
Complete a Residual Weighted Learning Analysis
Complete a Residual Weighted Learning Analysis
Create TxObj Object
Create TxSubset Object
Complete a Regression Step
Create a new TypedFitObj object
Class OptimalClass
Methods Available for Objects of Class OptimalClass
Classification Perspective
Class OptimalClassObj
Class OptimalInfo
Methods Available for Objects of Class OptimalInfo
Class OptimalObj
Methods Available for Objects of Class OptimalObj
Class OptimalSeq
Methods Available for Objects of Class OptimalSeq
Missing or Coarsened Data Perspective - Genetic Algorithm
Class Contains Results for the Coarsened Data IPW/AIPW Method
Methods Available for Objects of Class OptimalSeqCoarsened
Class Contains Results for the Missing Data IPW/AIPW Method
Methods Available for Objects of Class OptimalSeqMissing
Class OptimBasic
Methods Available for Objects of Class OptimBasic
Class OptimKernel
Methods Available for Objects of Class OptimKernel
Class OptimObj
Methods Available for Objects of Class OptimObj
Extract Optimization Results
Class OptimStepClass OptimStep holds results of a combined cross-v...
Methods Available for Objects of Class OptimStep
Complete Cross-Validation Step and Final Optimization
Extract or Estimate the Optimal Tx and Decision Functions
Retrieve Outcome Regression Analysis
Class OutcomeIterateFit
Methods Available for Objects of Class OutcomeIterateFit
Class OutcomeNoFit
Methods Available for Objects of Class OutcomeNoFit
Class OutcomeObj
Methods Available for Objects of Class OutcomeObj
Class OutcomeSimpleFit
Methods Available for Objects of Class OutcomeSimpleFit
Class OutcomeSimpleFit_fSet
Methods Available for Objects of Class OutcomeSimpleFit_fSet
Class OutcomeSimpleFit_SubsetList
Methods Available for Objects of Class OutcomeSimpleFit_SubsetList
Class OWL
Methods Available for Objects of Class OWL
Outcome Weighted Learning
Generates Plots as Defined by Modeling Functions
Class PolyKernel
Methods Available for Objects of Class PolyKernel
Retrieve Propensity Regression Analysis
Class PropensityFit
Methods Available for Objects of Class PropensityFit
Class PropensityFit_fSet
Methods Available for Objects of Class PropensityFit_fSet
Class PropensityFit_SubsetList
Methods Available for Objects of Class PropensityFit_SubsetList
Class PropensityObj
Methods Available for Objects of Class PropensityObj
Class QLearn
A Step of the Q-Learning Algorithm
Class QLearnObj
Class RadialKernel
Methods Available for Objects of Class RadialKernel
Class Regime
Methods Available for Objects of Class Regime
Extract Regime Parameters
Class RegimeObj
Methods Available for Objects of Class RegimeObj
Extract Model Residuals
Class RWL
Methods Available for Objects of Class RWL
Residual Weighted Learning
Standard Deviation
Define the Objective Function
Class SmoothRampSurrogate
Methods Available for Objects of Class SmoothRampSurrogate
Class SqHingeSurrogate
Methods Available for Objects of Class SqHingeSurrogate
Class SubsetList
Methods Available for Objects of Class SubsetList
Result Summaries
Class Surrogate
Methods Available for Objects of Class Surrogate
Class TxInfoBasic
Methods Available for Objects of Class TxInfoBasic
Class TxInfoFactor
Methods Available for Objects of Class TxInfoFactor
Class TxInfoInteger
Methods Available for Objects of Class TxInfoInteger
Methods Available for Objects of Class TxInfoList
Class TxInfoList
Class TxInfoNoSubsets
Methods Available for Objects of Class TxInfoNoSubsets
Class TxInfoWithSubsets
Methods Available for Objects of Class TxInfoWithSubsets
Class TxObj
Methods Available for Objects of Class TxObj
Class TxSubset
Methods Available for Objects of Class TxSubset
Class TxSubsetFactor
Methods Available for Objects of Class TxSubsetFactor
Class TxSubsetInteger
Methods Available for Objects of Class TxSubsetInteger
Class TypedFit
Methods Available for Objects of Class TypedFit
Class TypedFit_fSet
Methods Available for Objects of Class TypedFit_fSet
Class TypedFit_SubsetList
Methods Available for Objects of Class TypedFit_SubsetList
Class TypedFitObj
Methods Available for Objects of Class TypedFitObj
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.