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DynTxRegime (version 3.2)

Methods for Estimating Optimal Dynamic Treatment Regimes

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.

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Version

Install

install.packages('DynTxRegime')

Monthly Downloads

483

Version

3.2

License

GPL-2

Maintainer

Shannon Holloway

Last Published

February 12th, 2018

Functions in DynTxRegime (3.2)

DynTxRegime-class

Class "DynTxRegime"

IterateFitWithSubsets-class

Class "IterateFitWithSubsets"

IQLearnFS_VHet-class

Class "IQLearnFS_VHet"

IQLearnFS-class

Class "IQLearnFS"

OutcomeRegression-class

Class "OutcomeRegression"

IQLearnFS_ME-class

Class "IQLearnFS_ME"

Residual Weighted Learning to Estimate Optimal Treatment Regimes

OptimalClass-class

Class "OptimalClass"

Efficient Augmentation and Relaxation Learning

OptimKernel-class

Class "OptimKernel"

IQLearnSS-class

Class "IQLearnSS"

OptimBasic-class

Class "OptimBasic"

IterateFit-class

Class "IterateFit"

OptimalSeqIPWE_MDP-class

Class "OptimalSeqIPWE_MDP"

Class "QLearn"

Class "OWLOptim"

OptimalSeqAIPWE_SDP-class

Class "OptimalSeqAIPWE_SDP"

Class "RWLOptim"

OutcomeRegression_DecisionPointList-class

Class "OutcomeRegression_DecisionPointList"

ModelObj_DecisionPointList-class

Class "ModelObj_DecisionPointList"

IQLearnFS_C-class

Class "IQLearnFS_C"

PropensityFit_SubsetList_DecisionPointList-class

Class "PropensityFit_SubsetList_DecisionPointList"

OptimalClassIPWE-class

Class "OptimalClassIPWE"

PropensityFit_fSet-class

Class "PropensityFit_fSet"

PropensityAndOutcome-class

Class "PropensityAndOutcome"

TxInfoFactor-class

Class "TxInfoFactor"

SubsetListFit_DecisionPointList-class

Class "SubsetListFit_DecisionPointList"

SubsetsModeled-class

Class "SubsetsModeled"

ModelObjSubset-class

Class "ModelObjSubset"

ModelObj_SubsetList-class

Class "ModelObj_SubsetList"

SubsetList-class

Class "SubsetList"

SubsetListFit-class

Class "SubsetListFit"

OptimalClassAIPWE-class

Class "OptimalClassAIPWE"

PropensityFit-class

Class "PropensityFit"

buildModelObjSubset

Create Model Objects for Subsets of Data.

TxInfoWithSubsets-class

Class "TxInfoWithSubsets"

TxInfoFactorWithSubsets-class

Class "TxInfoFactorWithSubsets"

ModelObj_SubsetList_DecisionPointList-class

Class "ModelObj_SubsetList_DecisionPointList"

Class "TxSubset"

Defining the fSet input variable

SubsetsNotModeled-class

Class "SubsetsNotModeled"

Efficient Augmentation and Relaxation Learning.

.newIQLearnFS_C

Second Step of IQ-Learning Algorithm

Backward Outcome Weighted Learning.

.newTxInfoNoSubsets

Create Treatment Information Object When Subsets are not Identified

Backward Outcome Weighted Learning With Binary Treatment.

TypedSimpleFit-class

Class "TypedSimpleFit"

TxInfoBasic-class

Class "TxInfoBasic"

Create Treatment Information Objects

.newBOWLOptimization

Backward Outcome Weighted Learning With and Without Subsetting of Regime.

Outcome Weighted Learning

MultipleDecisionPoint-class

Class "MultipleDecisionPoint"

OptimalSeqIPWE_SDP-class

Class "OptimalSeqIPWE_SDP"

Create Cross-Validation Objects

Value Search Method for Optimal Treatment Regime.

OptimalSeq-class

Class "OptimalSeq"

OutcomeOnly-class

Class "OutcomeOnly"

.newTypedSimpleFit

Complete Outcome Regression Step When Single Model.

PropensityFit_DecisionPointList-class

Class "PropensityFit_DecisionPointList"

.newModelObjSubset

Create an object of class "ModelObj_SubsetList" or "ModelObj_SubsetList_DecisionPointList"

.newTxInfoWithSubsets

Create Treatment Information Object When Subsets are Identified

TypedSimpleFitNoSubsets-class

Class "TypedSimpleFitNoSubsets"

OptimalSeqAIPWE_MDP-class

Class "OptimalSeqAIPWE_MDP"

PropensityFit_SubsetList-class

Class "PropensityFit_SubsetList"

PropensityOnly-class

Class "PropensityOnly"

.newOutcomeRegression

Complete Outcome Regression Step When Subset Modeling Not Used In Regression.

Extract Fitted Contrast Component of Outcome

Class "Regime"

Optimization Routine - Outcome Weighted Learning.

Outcome Weighted Learning.

PropensityRegression-class

Class "PropensityRegression"

RegimeObject-class

Class "RegimeObject"

.newOptimalClass

Optimal Treatment Regime from Classification Perspective.

SingleDecisionPoint-class

Class "SingleDecisionPoint"

Regime_DecisionPointList-class

Class "Regime_DecisionPointList"

TxInfoInteger-class

Class "TxInfoInteger"

Extract Fitted Main Effects of Outcome

TxInfoList-class

Class "TxInfoList"

IQ-Learning: Second-Stage Regression

IQ-Learning: Variance of the Regression of the Estimated Second-Stage Contrast (IQ3)

Retrieve Optimization Value Object

Retrieve Regression Objects for the Outcome Regression Models

TxInfoIntegerWithSubsets-class

Class "TxInfoIntegerWithSubsets"

Defining the iter input variable

Defining the moPropen input variable

TxInfoNoSubsets-class

Class "TxInfoNoSubsets"

.newIQLearnFS_ME

Third Step of IQ-Learning Algorithm

.newIQLearnFS_VHet

Fourth Step of IQ-Learning Algorithm

Adolescent BMI dataset (generated toy example)

TypedSimpleFitWithSubsets-class

Class "TypedSimpleFitWithSubsets"

Standard Deviation of IQ-Learning Variance Step

First Step of IQ-Learning Algorithm

IQ-Learning: Regression of Estimated Second-Stage Main Effects

IQ-Learning: Regression of Estimated Second-Stage Contrasts

Summary Results

Complete Outcome Regression Step When Two Component Model.

.newPropensityRegression

Complete Propensity Score Regression Step.

Estimate Plug-in Value

A Step of the Q-Learning Algorithm

Residual Weighted Learning.

Process and Store Decision Rule Information.

Retrieve Model Coefficients

Generate Standard Plots

Retrieve Cross-Validation Results

Estimated Value of Estimated Optimal Regime

Retrieve Regression Objects for Propensity Score

Modeling Function Value Objects

IQ-Learning: Generate QQ-Plots for Variance Modeling .

Retrieve Regime Parameter Estimates

Classification Based Estimation of Optimal Dynamic Treatment Regimes

Identify Statistical Method of DynTxRegime Object

Regression Based Value-Search Estimation of Optimal Dynamic Treatment Regimes

Retrieve Classification Value Object

Retrieve the Result of the Genetic Algorithm Optimization

Methods to Retrieve Estimated Optimal Treatment or to Predict Optimal Treatment

Extract Model Residuals

Class "BOWLObj"

BOWLWithOneRegime-class

Class "BOWLWithOneRegime"

CVInfo2Par-class

Class "CVInfo2Par"

BOWLBasic_fSet-class

Class "BOWLBasic_fSet"

CVInfo1Par-class

Class "CVInfo1Par"

BOWLWithSubsetRegimes-class

Class "BOWLWithSubsetRegimes"

Backward Outcome Weighted Learning

BOWLBasic-class

Class "BOWLBasic"

Class "CVInfo"

DynTxRegime-package

Methods for Estimating Optimal Dynamic Treatment Regimes

Class "EARLIPWE"

IQLearnBase-class

Class "IQLearnBase"

DecisionPointList-class

Class "DecisionPointList"

EARLAIPWE-class

Class "EARLAIPWE"

EARLOptim-class

Class "EARLOptim"

IterateFitNoSubsets-class

Class "IterateFitNoSubsets"