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DynTxRegime (version 4.12)

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

4.12

License

GPL-2

Maintainer

Shannon Holloway

Last Published

April 25th, 2023

Functions in DynTxRegime (4.12)

Methods Available for Objects of Class BOWL

Retrieve Unevaluated Original Call

Identify Statistical Method Used to Obtain Result

CVInfo2Par-class

Class CVInfo2Par

CVInfoObj-class

Class CVInfoObj

BOWLBasic-methods

Methods Available for Objects of Class BOWLBasic

CVInfokParam-class

Class CVInfokParam

CVInfokParam-methods

Methods Available for Objects of Class CVInfokParam

BOWLBasic-class

Class BOWLBasic

Methods Available for Objects of Class CVInfo

DynTxRegime-class

Class DynTxRegime

DecisionPointList-methods

Methods Available for Objects of Class DecisionPointList

ExpSurrogate-class

Class ExpSurrogate

CVInfoLambda-class

Class CVInfoLambda

CVInfoLambda-methods

Methods Available for Objects of Class CVInfoLambda

ClassificationFit_SubsetList-methods

Methods Available for Objects of Class ClassificationFit_SubsetList

ClassificationFit_fSet-class

Class ClassificationFit_fSet

ClassificationFit-class

Class ClassificationFit

ClassificationObj-methods

Methods Available for Objects of Class ClassificationObj

HuberHingeSurrogate-class

Class HuberHingeSurrogate

DynTxRegime-internal-api

DecisionPointList-class

Class DecisionPointList

IQLearnFS_C-class

Class IQLearnFS_C

IQLearnSS-class

Class IQLearnSS

IQLearnSS-methods

Methods Available for Objects of Class IQLearnSS

MethodObject-methods

Methods Available for Objects of Class MethodObject

LearningMulti-methods

Methods Available for Objects of Class LearningMulti

IQLearnFS_VHet-methods

Methods Available for Objects of Class IQLearnFS_VHet

HuberHingeSurrogate-methods

Methods Available for Objects of Class HuberHingeSurrogate

ClassificationFit-methods

Methods Available for Objects of Class ClassificationFit

Methods Available for Objects of Class EARL

Learning-methods

Methods Available for Objects of Class Learning

IQLearnFS_ME-class

Class IQLearnFS_ME

MethodObject-class

Class MethodObject

CVInfoObj-methods

Methods Available for Objects of Class CVInfoObj

HingeSurrogate-methods

Methods Available for Objects of Class HingeSurrogate

IQLearnFS-class

Class IQLearnFS

OptimalClassObj-class

Class OptimalClassObj

MultiRadialKernel-methods

Methods Available for Objects of Class MultiRadialKernel

IQLearnFS_VHet-class

Class IQLearnFS_VHet

OptimalClass-methods

Methods Available for Objects of Class OptimalClass

OptimStep-class

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

MultiRadialKernel-class

Class MultiRadialKernel

IQLearnFS-methods

Methods Available for Objects of Class IQLearnFS

Methods Available for Objects of Class Kernel

KernelObj-class

Class KernelObj

ClassificationObj-class

Class ClassificationObj

DynTxRegime-methods

Methods Available for Objects of Class DynTxRegime

LinearKernel-methods

Methods Available for Objects of Class LinearKernel

LearningMulti-class

Class LearningMulti

IQLearnFS_C-methods

Methods Available for Objects of Class IQLearnFS_C

ClassificationFit_SubsetList-class

Class ClassificationFit_SubsetList

OptimalSeqCoarsened-class

Class Contains Results for the Coarsened Data IPW/AIPW Method

OptimStep-methods

Methods Available for Objects of Class OptimStep

ClassificationFit_fSet-methods

Methods Available for Objects of Class ClassificationFit_fSet

ModelObjSubset-class

Class ModelObjSubset

LearningObject-class

Class LearningObject

ExpSurrogate-methods

Methods Available for Objects of Class ExpSurrogate

IQLearnFS_ME-methods

Methods Available for Objects of Class IQLearnFS_ME

ModelObjSubset-methods

Methods Available for Objects of Class ModelObjSubset

ModelObj_DecisionPointList-class

Class ModelObj_DecisionPointList

HingeSurrogate-class

Class HingeSurrogate

OptimalSeqCoarsened-methods

Methods Available for Objects of Class OptimalSeqCoarsened

OptimBasic-methods

Methods Available for Objects of Class OptimBasic

Class OptimObj

OptimObj-methods

Methods Available for Objects of Class OptimObj

ModelObj_SubsetList-class

Class ModelObj_SubsetList

OptimalSeq-class

Class OptimalSeq

OptimalClass-class

Class OptimalClass

PropensityFit_SubsetList-methods

Methods Available for Objects of Class PropensityFit_SubsetList

Complete Cross-Validation Step and Final Optimization

OutcomeSimpleFit_fSet-methods

Methods Available for Objects of Class OutcomeSimpleFit_fSet

PropensityFit_SubsetList-class

Class PropensityFit_SubsetList

OutcomeSimpleFit_fSet-class

Class OutcomeSimpleFit_fSet

OptimalSeq-methods

Methods Available for Objects of Class OptimalSeq

QLearnObj-class

Class QLearnObj

OptimalSeqMissing-class

Class Contains Results for the Missing Data IPW/AIPW Method

RegimeObj-class

Class RegimeObj

OutcomeSimpleFit-class

Class OutcomeSimpleFit

OutcomeSimpleFit-methods

Methods Available for Objects of Class OutcomeSimpleFit

Methods Available for Objects of Class OWL

OptimalSeqMissing-methods

Methods Available for Objects of Class OptimalSeqMissing

OptimalInfo-class

Class OptimalInfo

PropensityObj-class

Class PropensityObj

LearningObject-methods

Methods Available for Objects of Class LearningObject

SubsetList-class

Class SubsetList

KernelObj-methods

Methods Available for Objects of Class KernelObj

PropensityFit_fSet-class

Class PropensityFit_fSet

OptimBasic-class

Class OptimBasic

OptimalObj-methods

Methods Available for Objects of Class OptimalObj

PropensityFit-class

Class PropensityFit

OptimalObj-class

Class OptimalObj

OptimalInfo-methods

Methods Available for Objects of Class OptimalInfo

LinearKernel-class

Class LinearKernel

PolyKernel-class

Class PolyKernel

TxInfoNoSubsets-class

Class TxInfoNoSubsets

SubsetList-methods

Methods Available for Objects of Class SubsetList

PropensityFit-methods

Methods Available for Objects of Class PropensityFit

OutcomeIterateFit-methods

Methods Available for Objects of Class OutcomeIterateFit

OutcomeObj-class

Class OutcomeObj

OptimKernel-class

Class OptimKernel

OutcomeIterateFit-class

Class OutcomeIterateFit

OutcomeNoFit-methods

Methods Available for Objects of Class OutcomeNoFit

SmoothRampSurrogate-class

Class SmoothRampSurrogate

LogitSurrogate-class

Class LogitSurrogate

SqHingeSurrogate-class

Class SqHingeSurrogate

LogitSurrogate-methods

Methods Available for Objects of Class LogitSurrogate

Class Learning

RegimeObj-methods

Methods Available for Objects of Class RegimeObj

TxInfoNoSubsets-methods

Methods Available for Objects of Class TxInfoNoSubsets

TypedFitObj-class

Class TypedFitObj

OutcomeNoFit-class

Class OutcomeNoFit

SmoothRampSurrogate-methods

Methods Available for Objects of Class SmoothRampSurrogate

Extract Model Coefficients From Objects Returned by Modeling Functions

Retrieve Classification Regression Analysis

RadialKernel-methods

Methods Available for Objects of Class RadialKernel

TxSubsetInteger-class

Class TxSubsetInteger

TxSubsetInteger-methods

Methods Available for Objects of Class TxSubsetInteger

TypedFit-methods

Methods Available for Objects of Class TypedFit

TypedFitObj-methods

Methods Available for Objects of Class TypedFitObj

buildModelObjSubset

Create Model Objects for Subsets of Data

TxInfoFactor-class

Class TxInfoFactor

PolyKernel-methods

Methods Available for Objects of Class PolyKernel

Class TypedFit

Methods Available for Objects of Class Regime

TxInfoList-methods

Methods Available for Objects of Class TxInfoList

SqHingeSurrogate-methods

Methods Available for Objects of Class SqHingeSurrogate

TxInfoFactor-methods

Methods Available for Objects of Class TxInfoFactor

Class TxInfoList

OutcomeObj-methods

Methods Available for Objects of Class OutcomeObj

Extract Cross-Validation Results

PropensityFit_fSet-methods

Methods Available for Objects of Class PropensityFit_fSet

TxInfoWithSubsets-class

Class TxInfoWithSubsets

PropensityObj-methods

Methods Available for Objects of Class PropensityObj

Surrogate-class

Class Surrogate

Create method object for Residual Weighted Learning

internal-owl-class

TxInfoBasic-methods

Methods Available for Objects of Class TxInfoBasic

OutcomeSimpleFit_SubsetList-class

Class OutcomeSimpleFit_SubsetList

RadialKernel-class

Class RadialKernel

Methods Available for Objects of Class TxObj

OutcomeSimpleFit_SubsetList-methods

Methods Available for Objects of Class OutcomeSimpleFit_SubsetList

Surrogate-methods

Methods Available for Objects of Class Surrogate

TxInfoWithSubsets-methods

Methods Available for Objects of Class TxInfoWithSubsets

Class TxSubset

OptimKernel-methods

Methods Available for Objects of Class OptimKernel

Create method object for EARL

Create method object for Outcome Weighted Learning

newClassificationObj

Create an Object of Class ClassificationFitObj

newClassificationFit

Complete a Classification Regression Step

Defining the moPropen Input Variable

TypedFit_fSet-methods

Methods Available for Objects of Class TypedFit_fSet

TxInfoInteger-methods

Methods Available for Objects of Class TxInfoInteger

internal-rwl-methods

Methods Available for Objects of Class .rwl

internal-rwl-class

Retrieve the Estimated Value

Retrieve the Genetic Algorithm Results

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

Defining the fSet Input Variable

Create a BOWL Object for First Step of BOWL Algorithm

internal-owl-methods

Methods Available for Objects of Class .owl

Combine model object models

apply() for List objects

TypedFit_SubsetList-methods

Methods Available for Objects of Class TypedFit_SubsetList

TypedFit_SubsetList-class

Class TypedFit_SubsetList

TxSubsetFactor-methods

Methods Available for Objects of Class TxSubsetFactor

TxSubsetFactor-class

Class TxSubsetFactor

TypedFit_fSet-class

Class TypedFit_fSet

Retrieve Outcome for Both Tx Options When Tx is Binary

Complete a Learning Analysis

Retrieve the Fitted Contrast Component from Second Stage IQ-Learning

Objects Returned by Modeling Functions

Create a New CVInfoObj Object

Complete an EARL Analysis

An n-Fold Cross Validation Step

Complete a the Coarsened/Missing Data Analysis

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

newOptimalClass

Estimate the Optimal Treatment and Value Using Classification

Create a new TypedFitObj object

newPropensityFit

Complete a Propensity Regression Step

newModelObjSubset

Create Internal Model Objects for Subsets of Data

Create TxSubset Object

TxInfoInteger-class

Class TxInfoInteger

TxInfoBasic-class

Class TxInfoBasic

Complete an OWL Analysis

Methods Available for Objects of Class RWL

newPropensityObj

Create a new PropensityObj object

TxSubset-methods

Methods Available for Objects of Class TxSubset

Extract Optimization Results

Adolescent BMI dataset (generated toy example)

Create a BOWL Object

Perform a Step of the Q-Learning Algorithm

Perform an Outcome Regression Step

newIQLearnFS_ME

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

Retrieve Propensity for Tx Received

Retrieve Outcome Regression Analysis

Classification Perspective

Missing or Coarsened Data Perspective - Genetic Algorithm

Create a new OutcomeObj object

newIQLearnFS_VHet

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

.newRWL,Kernel-method

Complete a Residual Weighted Learning Analysis

internal-earl-class

Outcome Weighted Learning

Efficient Augmentation and Relaxation Learning

Create a CVInfo Object

Backwards Outcome Weighted Learning.

Create TxObj Object

Perform Classification Step

Result Summaries

Define the Objective Function

Retrieve Propensity Regression Analysis

Complete an Optimization Step

Create a new Regime object

Complete a Residual Weighted Learning Analysis

A Step of the Q-Learning Algorithm

internal-earl-methods

Methods Available for Objects of Class .earl

Interactive Q-Learning

Defining the iter Input Variable

Extract Regime Parameters

Complete Second Stage Analysis of Interactive Q-Learning Algorithm

Create a KernelObj

Extract or Estimate the Optimal Tx and Decision Functions

Extract Model Residuals

Create an OptimObj Object

Create a New RegimeObj Object

Complete a Regression Step

Residual Weighted Learning

Generates Plots as Defined by Modeling Functions

Standard Deviation

Class BOWLObj

Class CVBasic

CVInfo2Par-methods

Methods Available for Objects of Class CVInfo2Par