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DynTxRegime (version 4.10)

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

2,426

Version

4.10

License

GPL-2

Maintainer

Shannon Holloway

Last Published

June 7th, 2022

Functions in DynTxRegime (4.10)

Methods Available for Objects of Class BOWL

Class CVBasic

Methods Available for Objects of Class CVInfo

Class BOWLObj

CVInfo2Par-class

Class CVInfo2Par

BOWLBasic-methods

Methods Available for Objects of Class BOWLBasic

BOWLBasic-class

Class BOWLBasic

CVInfoLambda-class

Class CVInfoLambda

CVInfo2Par-methods

Methods Available for Objects of Class CVInfo2Par

CVInfoLambda-methods

Methods Available for Objects of Class CVInfoLambda

DecisionPointList-methods

Methods Available for Objects of Class DecisionPointList

Retrieve Unevaluated Original Call

ClassificationFit-class

Class ClassificationFit

DecisionPointList-class

Class DecisionPointList

Methods Available for Objects of Class EARL

ClassificationObj-class

Class ClassificationObj

CVInfoObj-class

Class CVInfoObj

ClassificationFit_fSet-methods

Methods Available for Objects of Class ClassificationFit_fSet

CVInfoObj-methods

Methods Available for Objects of Class CVInfoObj

CVInfokParam-class

Class CVInfokParam

CVInfokParam-methods

Methods Available for Objects of Class CVInfokParam

ClassificationFit-methods

Methods Available for Objects of Class ClassificationFit

DynTxRegime-methods

Methods Available for Objects of Class DynTxRegime

ExpSurrogate-methods

Methods Available for Objects of Class ExpSurrogate

LearningMulti-methods

Methods Available for Objects of Class LearningMulti

IQLearnFS_ME-class

Class IQLearnFS_ME

IQLearnFS_C-methods

Methods Available for Objects of Class IQLearnFS_C

HingeSurrogate-class

Class HingeSurrogate

ExpSurrogate-class

Class ExpSurrogate

IQLearnFS-methods

Methods Available for Objects of Class IQLearnFS

LearningObject-class

Class LearningObject

Identify Statistical Method Used to Obtain Result

ClassificationFit_SubsetList-class

Class ClassificationFit_SubsetList

ClassificationObj-methods

Methods Available for Objects of Class ClassificationObj

DynTxRegime-class

Class DynTxRegime

IQLearnFS_C-class

Class IQLearnFS_C

ClassificationFit_fSet-class

Class ClassificationFit_fSet

LearningMulti-class

Class LearningMulti

ClassificationFit_SubsetList-methods

Methods Available for Objects of Class ClassificationFit_SubsetList

Learning-methods

Methods Available for Objects of Class Learning

HuberHingeSurrogate-methods

Methods Available for Objects of Class HuberHingeSurrogate

IQLearnFS_VHet-methods

Methods Available for Objects of Class IQLearnFS_VHet

IQLearnFS-class

Class IQLearnFS

LinearKernel-methods

Methods Available for Objects of Class LinearKernel

HingeSurrogate-methods

Methods Available for Objects of Class HingeSurrogate

IQLearnFS_VHet-class

Class IQLearnFS_VHet

HuberHingeSurrogate-class

Class HuberHingeSurrogate

LearningObject-methods

Methods Available for Objects of Class LearningObject

IQLearnFS_ME-methods

Methods Available for Objects of Class IQLearnFS_ME

OutcomeSimpleFit-class

Class OutcomeSimpleFit

OutcomeIterateFit-methods

Methods Available for Objects of Class OutcomeIterateFit

DynTxRegime-internal-api

OutcomeIterateFit-class

Class OutcomeIterateFit

OptimKernel-class

Class OptimKernel

LinearKernel-class

Class LinearKernel

Class Learning

IQLearnSS-methods

Methods Available for Objects of Class IQLearnSS

KernelObj-methods

Methods Available for Objects of Class KernelObj

OptimalSeqCoarsened-class

Class Contains Results for the Coarsened Data IPW/AIPW Method

OptimKernel-methods

Methods Available for Objects of Class OptimKernel

OptimStep-methods

Methods Available for Objects of Class OptimStep

OptimStep-class

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

OptimalSeqCoarsened-methods

Methods Available for Objects of Class OptimalSeqCoarsened

ModelObj_DecisionPointList-class

Class ModelObj_DecisionPointList

MethodObject-class

Class MethodObject

OutcomeSimpleFit-methods

Methods Available for Objects of Class OutcomeSimpleFit

LogitSurrogate-methods

Methods Available for Objects of Class LogitSurrogate

LogitSurrogate-class

Class LogitSurrogate

OutcomeObj-class

Class OutcomeObj

OptimBasic-class

Class OptimBasic

OutcomeObj-methods

Methods Available for Objects of Class OutcomeObj

TxInfoList-methods

Methods Available for Objects of Class TxInfoList

PropensityObj-class

Class PropensityObj

Methods Available for Objects of Class Regime

PropensityFit_SubsetList-methods

Methods Available for Objects of Class PropensityFit_SubsetList

PropensityFit_SubsetList-class

Class PropensityFit_SubsetList

OptimBasic-methods

Methods Available for Objects of Class OptimBasic

Class TxInfoList

PropensityObj-methods

Methods Available for Objects of Class PropensityObj

IQLearnSS-class

Class IQLearnSS

ModelObjSubset-methods

Methods Available for Objects of Class ModelObjSubset

KernelObj-class

Class KernelObj

ModelObj_SubsetList-class

Class ModelObj_SubsetList

Methods Available for Objects of Class Kernel

MultiRadialKernel-class

Class MultiRadialKernel

ModelObjSubset-class

Class ModelObjSubset

OptimalObj-class

Class OptimalObj

TypedFit-methods

Methods Available for Objects of Class TypedFit

Class TypedFit

OptimalObj-methods

Methods Available for Objects of Class OptimalObj

OptimalSeqMissing-class

Class Contains Results for the Missing Data IPW/AIPW Method

PolyKernel-class

Class PolyKernel

OptimalSeqMissing-methods

Methods Available for Objects of Class OptimalSeqMissing

PolyKernel-methods

Methods Available for Objects of Class PolyKernel

PropensityFit-methods

Methods Available for Objects of Class PropensityFit

PropensityFit-class

Class PropensityFit

OptimalClass-class

Class OptimalClass

Complete Cross-Validation Step and Final Optimization

MethodObject-methods

Methods Available for Objects of Class MethodObject

MultiRadialKernel-methods

Methods Available for Objects of Class MultiRadialKernel

OutcomeSimpleFit_SubsetList-class

Class OutcomeSimpleFit_SubsetList

TxInfoBasic-class

Class TxInfoBasic

TxInfoBasic-methods

Methods Available for Objects of Class TxInfoBasic

Methods Available for Objects of Class OWL

OutcomeSimpleFit_fSet-class

Class OutcomeSimpleFit_fSet

OptimalClassObj-class

Class OptimalClassObj

OptimalSeq-class

Class OptimalSeq

OutcomeSimpleFit_fSet-methods

Methods Available for Objects of Class OutcomeSimpleFit_fSet

Class OptimObj

OptimalClass-methods

Methods Available for Objects of Class OptimalClass

OptimalSeq-methods

Methods Available for Objects of Class OptimalSeq

Complete an EARL Analysis

OptimObj-methods

Methods Available for Objects of Class OptimObj

Methods Available for Objects of Class RWL

TxSubsetFactor-class

Class TxSubsetFactor

TypedFit_SubsetList-class

Class TypedFit_SubsetList

TxSubsetFactor-methods

Methods Available for Objects of Class TxSubsetFactor

QLearnObj-class

Class QLearnObj

OptimalInfo-class

Class OptimalInfo

OutcomeNoFit-class

Class OutcomeNoFit

OptimalInfo-methods

Methods Available for Objects of Class OptimalInfo

SmoothRampSurrogate-methods

Methods Available for Objects of Class SmoothRampSurrogate

SmoothRampSurrogate-class

Class SmoothRampSurrogate

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

Surrogate-class

Class Surrogate

SubsetList-class

Class SubsetList

Create an OptimObj Object

Complete an Optimization Step

OutcomeSimpleFit_SubsetList-methods

Methods Available for Objects of Class OutcomeSimpleFit_SubsetList

PropensityFit_fSet-class

Class PropensityFit_fSet

PropensityFit_fSet-methods

Methods Available for Objects of Class PropensityFit_fSet

TxInfoNoSubsets-class

Class TxInfoNoSubsets

Surrogate-methods

Methods Available for Objects of Class Surrogate

Complete a Residual Weighted Learning Analysis

RadialKernel-methods

Methods Available for Objects of Class RadialKernel

RadialKernel-class

Class RadialKernel

TxSubsetInteger-class

Class TxSubsetInteger

SubsetList-methods

Methods Available for Objects of Class SubsetList

TxInfoNoSubsets-methods

Methods Available for Objects of Class TxInfoNoSubsets

TxInfoInteger-class

Class TxInfoInteger

TypedFit_SubsetList-methods

Methods Available for Objects of Class TypedFit_SubsetList

Objects Returned by Modeling Functions

Retrieve the Fitted Contrast Component from Second Stage IQ-Learning

SqHingeSurrogate-class

Class SqHingeSurrogate

TxInfoInteger-methods

Methods Available for Objects of Class TxInfoInteger

TypedFitObj-class

Class TypedFitObj

TypedFitObj-methods

Methods Available for Objects of Class TypedFitObj

Class TxSubset

SqHingeSurrogate-methods

Methods Available for Objects of Class SqHingeSurrogate

Extract Model Coefficients From Objects Returned by Modeling Functions

Methods Available for Objects of Class TxObj

TxSubset-methods

Methods Available for Objects of Class TxSubset

TxSubsetInteger-methods

Methods Available for Objects of Class TxSubsetInteger

buildModelObjSubset

Create Model Objects for Subsets of Data

Adolescent BMI dataset (generated toy example)

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

Backwards Outcome Weighted Learning.

OutcomeNoFit-methods

Methods Available for Objects of Class OutcomeNoFit

TxInfoFactor-methods

Methods Available for Objects of Class TxInfoFactor

TxInfoFactor-class

Class TxInfoFactor

RegimeObj-methods

Methods Available for Objects of Class RegimeObj

RegimeObj-class

Class RegimeObj

Missing or Coarsened Data Perspective - Genetic Algorithm

Create a new Regime object

TxInfoWithSubsets-methods

Methods Available for Objects of Class TxInfoWithSubsets

Create method object for EARL

Perform Classification Step

TxInfoWithSubsets-class

Class TxInfoWithSubsets

TypedFit_fSet-class

Class TypedFit_fSet

TypedFit_fSet-methods

Methods Available for Objects of Class TypedFit_fSet

apply() for List objects

Extract Cross-Validation Results

Retrieve Classification Regression Analysis

internal-earl-methods

Methods Available for Objects of Class .earl

internal-earl-class

Retrieve the Estimated Value

Efficient Augmentation and Relaxation Learning

Retrieve Propensity for Tx Received

Retrieve Outcome for Both Tx Options When Tx is Binary

Retrieve the Genetic Algorithm Results

Defining the fSet Input Variable

Create method object for Outcome Weighted Learning

Interactive Q-Learning

An n-Fold Cross Validation Step

Complete Second Stage Analysis of Interactive Q-Learning Algorithm

Create method object for Residual Weighted Learning

Create a New CVInfoObj Object

Extract Optimization Results

Classification Perspective

Defining the iter Input Variable

internal-owl-methods

Methods Available for Objects of Class .owl

Retrieve Propensity Regression Analysis

internal-owl-class

internal-rwl-class

A Step of the Q-Learning Algorithm

Defining the moPropen Input Variable

Standard Deviation

Define the Objective Function

Retrieve Outcome Regression Analysis

Create a CVInfo Object

Create a BOWL Object

Perform an Outcome Regression Step

Create a KernelObj

newIQLearnFS_ME

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

newPropensityFit

Complete a Propensity Regression Step

newIQLearnFS_VHet

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

Create a new OutcomeObj object

newPropensityObj

Create a new PropensityObj object

Create TxSubset Object

Complete a Regression Step

Create a BOWL Object for First Step of BOWL Algorithm

Combine model object models

Complete a Learning Analysis

Extract Model Residuals

Create a New RegimeObj Object

Create TxObj Object

newOptimalClass

Estimate the Optimal Treatment and Value Using Classification

Complete a the Coarsened/Missing Data Analysis

Result Summaries

Residual Weighted Learning

Create a new TypedFitObj object

Extract or Estimate the Optimal Tx and Decision Functions

newClassificationFit

Complete a Classification Regression Step

internal-rwl-methods

Methods Available for Objects of Class .rwl

newModelObjSubset

Create Internal Model Objects for Subsets of Data

newClassificationObj

Create an Object of Class ClassificationFitObj

Complete an OWL Analysis

Outcome Weighted Learning

Perform a Step of the Q-Learning Algorithm

.newRWL,Kernel-method

Complete a Residual Weighted Learning Analysis

Generates Plots as Defined by Modeling Functions

Quantile-Quantile Plots

Extract Regime Parameters