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DynTxRegime (version 4.15)

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. 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.

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Version

Install

install.packages('DynTxRegime')

Monthly Downloads

483

Version

4.15

License

GPL-2

Maintainer

Shannon Holloway

Last Published

November 24th, 2023

Functions in DynTxRegime (4.15)

CVInfokParam-methods

Methods Available for Objects of Class CVInfokParam

Retrieve Unevaluated Original Call

ClassificationFit-class

Class ClassificationFit

CVInfokParam-class

Class CVInfokParam

DynTxRegime-internal-api

ClassificationFit_SubsetList-class

Class ClassificationFit_SubsetList

CVInfoObj-class

Class CVInfoObj

DynTxRegime-class

Class DynTxRegime

ClassificationFit-methods

Methods Available for Objects of Class ClassificationFit

ClassificationFit_fSet-class

Class ClassificationFit_fSet

DecisionPointList-class

Class DecisionPointList

DynTxRegime-methods

Methods Available for Objects of Class DynTxRegime

ClassificationFit_SubsetList-methods

Methods Available for Objects of Class ClassificationFit_SubsetList

Methods Available for Objects of Class EARL

HingeSurrogate-methods

Methods Available for Objects of Class HingeSurrogate

ExpSurrogate-class

Class ExpSurrogate

DecisionPointList-methods

Methods Available for Objects of Class DecisionPointList

HuberHingeSurrogate-class

Class HuberHingeSurrogate

IQLearnSS-methods

Methods Available for Objects of Class IQLearnSS

IQLearnFS_VHet-class

Class IQLearnFS_VHet

IQLearnFS_C-class

Class IQLearnFS_C

IQLearnFS-methods

Methods Available for Objects of Class IQLearnFS

IQLearnFS_ME-methods

Methods Available for Objects of Class IQLearnFS_ME

IQLearnFS_VHet-methods

Methods Available for Objects of Class IQLearnFS_VHet

CVInfoObj-methods

Methods Available for Objects of Class CVInfoObj

ClassificationFit_fSet-methods

Methods Available for Objects of Class ClassificationFit_fSet

ExpSurrogate-methods

Methods Available for Objects of Class ExpSurrogate

IQLearnSS-class

Class IQLearnSS

IQLearnFS_ME-class

Class IQLearnFS_ME

IQLearnFS_C-methods

Methods Available for Objects of Class IQLearnFS_C

ClassificationObj-methods

Methods Available for Objects of Class ClassificationObj

CVInfoLambda-methods

Methods Available for Objects of Class CVInfoLambda

LearningObject-class

Class LearningObject

HingeSurrogate-class

Class HingeSurrogate

ClassificationObj-class

Class ClassificationObj

ModelObj_DecisionPointList-class

Class ModelObj_DecisionPointList

CVInfoLambda-class

Class CVInfoLambda

Class Learning

Identify Statistical Method Used to Obtain Result

KernelObj-methods

Methods Available for Objects of Class KernelObj

Methods Available for Objects of Class Kernel

KernelObj-class

Class KernelObj

LinearKernel-methods

Methods Available for Objects of Class LinearKernel

LearningObject-methods

Methods Available for Objects of Class LearningObject

LinearKernel-class

Class LinearKernel

MethodObject-class

Class MethodObject

Methods Available for Objects of Class OWL

ModelObj_SubsetList-class

Class ModelObj_SubsetList

MethodObject-methods

Methods Available for Objects of Class MethodObject

PolyKernel-class

Class PolyKernel

OutcomeIterateFit-methods

Methods Available for Objects of Class OutcomeIterateFit

OutcomeIterateFit-class

Class OutcomeIterateFit

PolyKernel-methods

Methods Available for Objects of Class PolyKernel

OptimStep-class

Class OptimStep Class OptimStep holds results of a combined cross-validation and final optimization step for weighted learning methods.

HuberHingeSurrogate-methods

Methods Available for Objects of Class HuberHingeSurrogate

OptimalClass-methods

Methods Available for Objects of Class OptimalClass

OptimStep-methods

Methods Available for Objects of Class OptimStep

PropensityObj-methods

Methods Available for Objects of Class PropensityObj

PropensityObj-class

Class PropensityObj

RadialKernel-class

Class RadialKernel

Class OptimObj

OutcomeSimpleFit_SubsetList-methods

Methods Available for Objects of Class OutcomeSimpleFit_SubsetList

RadialKernel-methods

Methods Available for Objects of Class RadialKernel

ModelObjSubset-methods

Methods Available for Objects of Class ModelObjSubset

ModelObjSubset-class

Class ModelObjSubset

OptimObj-methods

Methods Available for Objects of Class OptimObj

LearningMulti-methods

Methods Available for Objects of Class LearningMulti

Methods Available for Objects of Class RWL

TxInfoBasic-methods

Methods Available for Objects of Class TxInfoBasic

OptimalSeqCoarsened-class

Class Contains Results for the Coarsened Data IPW/AIPW Method

TxInfoFactor-methods

Methods Available for Objects of Class TxInfoFactor

OptimalSeqCoarsened-methods

Methods Available for Objects of Class OptimalSeqCoarsened

TxInfoBasic-class

Class TxInfoBasic

OptimalInfo-class

Class OptimalInfo

MultiRadialKernel-class

Class MultiRadialKernel

OutcomeNoFit-methods

Methods Available for Objects of Class OutcomeNoFit

OptimalInfo-methods

Methods Available for Objects of Class OptimalInfo

TxInfoInteger-class

Class TxInfoInteger

PropensityFit_fSet-methods

Methods Available for Objects of Class PropensityFit_fSet

LogitSurrogate-class

Class LogitSurrogate

PropensityFit-methods

Methods Available for Objects of Class PropensityFit

TxInfoInteger-methods

Methods Available for Objects of Class TxInfoInteger

OptimalObj-methods

Methods Available for Objects of Class OptimalObj

OutcomeSimpleFit_SubsetList-class

Class OutcomeSimpleFit_SubsetList

MultiRadialKernel-methods

Methods Available for Objects of Class MultiRadialKernel

Extract Model Coefficients From Objects Returned by Modeling Functions

OutcomeSimpleFit-methods

Methods Available for Objects of Class OutcomeSimpleFit

LogitSurrogate-methods

Methods Available for Objects of Class LogitSurrogate

PropensityFit_SubsetList-methods

Methods Available for Objects of Class PropensityFit_SubsetList

OptimalObj-class

Class OptimalObj

PropensityFit_SubsetList-class

Class PropensityFit_SubsetList

TypedFitObj-class

Class TypedFitObj

SmoothRampSurrogate-methods

Methods Available for Objects of Class SmoothRampSurrogate

OptimBasic-class

Class OptimBasic

Class TxInfoList

IQLearnFS-class

Class IQLearnFS

Class TypedFit

OptimalSeq-class

Class OptimalSeq

Extract Cross-Validation Results

TxSubsetFactor-methods

Methods Available for Objects of Class TxSubsetFactor

TxSubsetFactor-class

Class TxSubsetFactor

Retrieve the Fitted Contrast Component from Second Stage IQ-Learning

OptimalSeq-methods

Methods Available for Objects of Class OptimalSeq

SqHingeSurrogate-methods

Methods Available for Objects of Class SqHingeSurrogate

OutcomeSimpleFit-class

Class OutcomeSimpleFit

PropensityFit_fSet-class

Class PropensityFit_fSet

Retrieve Propensity for Tx Received

SqHingeSurrogate-class

Class SqHingeSurrogate

TxInfoNoSubsets-class

Class TxInfoNoSubsets

TxInfoNoSubsets-methods

Methods Available for Objects of Class TxInfoNoSubsets

OptimalClassObj-class

Class OptimalClassObj

TypedFit_SubsetList-methods

Methods Available for Objects of Class TypedFit_SubsetList

Complete Cross-Validation Step and Final Optimization

internal-rwl-methods

Methods Available for Objects of Class .rwl

TypedFit_SubsetList-class

Class TypedFit_SubsetList

OutcomeObj-methods

Methods Available for Objects of Class OutcomeObj

OptimBasic-methods

Methods Available for Objects of Class OptimBasic

internal-rwl-class

apply() for List objects

OptimalClass-class

Class OptimalClass

TypedFitObj-methods

Methods Available for Objects of Class TypedFitObj

OutcomeNoFit-class

Class OutcomeNoFit

Create method object for EARL

SmoothRampSurrogate-class

Class SmoothRampSurrogate

Create a BOWL Object

TxInfoFactor-class

Class TxInfoFactor

Objects Returned by Modeling Functions

TypedFit-methods

Methods Available for Objects of Class TypedFit

Create method object for Outcome Weighted Learning

Backwards Outcome Weighted Learning.

Adolescent BMI dataset (generated toy example)

internal-owl-class

Retrieve Outcome for Both Tx Options When Tx is Binary

Create method object for Residual Weighted Learning

Create a CVInfo Object

Methods Available for Objects of Class TxObj

internal-owl-methods

Methods Available for Objects of Class .owl

Create a New CVInfoObj Object

Complete an OWL Analysis

Perform an Outcome Regression Step

Create a new OutcomeObj object

newModelObjSubset

Create Internal Model Objects for Subsets of Data

OptimalSeqMissing-class

Class Contains Results for the Missing Data IPW/AIPW Method

LearningMulti-class

Class LearningMulti

Create a New RegimeObj Object

Learning-methods

Methods Available for Objects of Class Learning

.newIQLearnFS_ME

Complete First Stage Analysis of Main Effects for Interactive Q-Learning Algorithm

.newIQLearnFS_VHet

Complete First Stage Analysis of Residuals for Interactive Q-Learning Algorithm

An n-Fold Cross Validation Step

PropensityFit-class

Class PropensityFit

Efficient Augmentation and Relaxation Learning

Perform Classification Step

Complete a Residual Weighted Learning Analysis

.newOptimalClass

Estimate the Optimal Treatment and Value Using Classification

OutcomeObj-class

Class OutcomeObj

Create a new Regime object

Complete a the Coarsened/Missing Data Analysis

internal-earl-class

Class TxSubset

Methods Available for Objects of Class Regime

internal-earl-methods

Methods Available for Objects of Class .earl

SubsetList-class

Class SubsetList

SubsetList-methods

Methods Available for Objects of Class SubsetList

TypedFit_fSet-class

Class TypedFit_fSet

TxInfoList-methods

Methods Available for Objects of Class TxInfoList

.newClassificationObj

Create an Object of Class ClassificationFitObj

.newBOWL,NULL-method

Create a BOWL Object for First Step of BOWL Algorithm

OptimKernel-class

Class OptimKernel

.newClassificationFit

Complete a Classification Regression Step

Interactive Q-Learning

Create TxSubset Object

Create TxObj Object

Complete an EARL Analysis

Outcome Weighted Learning

Perform a Step of the Q-Learning Algorithm

.newIQLearnFS_C

Complete First Stage Analysis of Contrasts for Interactive Q-Learning Algorithm

Residual Weighted Learning

Extract Optimization Results

Classification Perspective

Generates Plots as Defined by Modeling Functions

.newRWL,Kernel-method

Complete a Residual Weighted Learning Analysis

.newPropensityFit

Complete a Propensity Regression Step

.newPropensityObj

Create a new PropensityObj object

Complete a Regression Step

Complete a Learning Analysis

Retrieve Outcome Regression Analysis

Defining the iter Input Variable

Missing or Coarsened Data Perspective - Genetic Algorithm

Standard Deviation

Combine model object models

OptimKernel-methods

Methods Available for Objects of Class OptimKernel

OutcomeSimpleFit_fSet-methods

Methods Available for Objects of Class OutcomeSimpleFit_fSet

TxInfoWithSubsets-methods

Methods Available for Objects of Class TxInfoWithSubsets

OptimalSeqMissing-methods

Methods Available for Objects of Class OptimalSeqMissing

TypedFit_fSet-methods

Methods Available for Objects of Class TypedFit_fSet

Extract Model Residuals

Retrieve the Estimated Value

Extract Regime Parameters

Defining the fSet Input Variable

Defining the moPropen Input Variable

TxSubset-methods

Methods Available for Objects of Class TxSubset

QLearnObj-class

Class QLearnObj

Surrogate-methods

Methods Available for Objects of Class Surrogate

Surrogate-class

Class Surrogate

RegimeObj-class

Class RegimeObj

OutcomeSimpleFit_fSet-class

Class OutcomeSimpleFit_fSet

TxSubsetInteger-class

Class TxSubsetInteger

buildModelObjSubset

Create Model Objects for Subsets of Data

RegimeObj-methods

Methods Available for Objects of Class RegimeObj

TxInfoWithSubsets-class

Class TxInfoWithSubsets

Complete an Optimization Step

Retrieve Classification Regression Analysis

TxSubsetInteger-methods

Methods Available for Objects of Class TxSubsetInteger

Retrieve the Fitted Main Effects Component from Second Stage IQ-Learning

Extract or Estimate the Optimal Tx and Decision Functions

Create an OptimObj Object

Create a KernelObj

Retrieve the Genetic Algorithm Results

.newTypedFitObj

Create a new TypedFitObj object

Complete Second Stage Analysis of Interactive Q-Learning Algorithm

Retrieve Propensity Regression Analysis

Define the Objective Function

Result Summaries

A Step of the Q-Learning Algorithm

CVInfo2Par-methods

Methods Available for Objects of Class CVInfo2Par

Methods Available for Objects of Class CVInfo

CVInfo2Par-class

Class CVInfo2Par

BOWLBasic-methods

Methods Available for Objects of Class BOWLBasic

BOWLBasic-class

Class BOWLBasic

Class BOWLObj

Methods Available for Objects of Class BOWL

Class CVBasic