DynTxRegime

Class BOWL

Methods Available for Objects of Class BOWL

Class BOWLBasic

Methods Available for Objects of Class BOWLBasic

Class BOWLObj

Class CVBasic

Class CVInfo

Methods Available for Objects of Class CVInfo

Class CVInfo2Par

Methods Available for Objects of Class CVInfo2Par

Class CVInfoLambda

Methods Available for Objects of Class CVInfoLambda

Class CVInfoObj

Methods Available for Objects of Class CVInfoObj

Class CVInfokParam

Methods Available for Objects of Class CVInfokParam

Retrieve Unevaluated Original Call

Class ClassificationFit

Methods Available for Objects of Class ClassificationFit

Class ClassificationFit_SubsetList

Methods Available for Objects of Class ClassificationFit_SubsetList

Class ClassificationFit_fSet

Methods Available for Objects of Class ClassificationFit_fSet

Class ClassificationObj

Methods Available for Objects of Class ClassificationObj

Identify Statistical Method Used to Obtain Result

Class DecisionPointList

Methods Available for Objects of Class DecisionPointList

Class DynTxRegime

Hidden methods

Methods Available for Objects of Class DynTxRegime

Class EARL

Methods Available for Objects of Class EARL

Class ExpSurrogate

Methods Available for Objects of Class ExpSurrogate

Class HingeSurrogate

Methods Available for Objects of Class HingeSurrogate

Class HuberHingeSurrogate

Methods Available for Objects of Class HuberHingeSurrogate

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

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 ModelObjSubset

Methods Available for Objects of Class ModelObjSubset

Class ModelObj_DecisionPointList

Class ModelObj_SubsetList

Class MultiRadialKernel

Methods Available for Objects of Class MultiRadialKernel

Class OWL

Methods Available for Objects of Class OWL

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

Complete Cross-Validation Step and Final Optimization

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

Methods Available for Objects of Class OptimStep

Class OptimalClass

Methods Available for Objects of Class OptimalClass

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

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 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_SubsetList

Methods Available for Objects of Class OutcomeSimpleFit_SubsetList

Class OutcomeSimpleFit_fSet

Methods Available for Objects of Class OutcomeSimpleFit_fSet

Class PolyKernel

Methods Available for Objects of Class PolyKernel

Class PropensityFit

Methods Available for Objects of Class PropensityFit

Class PropensityFit_SubsetList

Methods Available for Objects of Class PropensityFit_SubsetList

Class PropensityFit_fSet

Methods Available for Objects of Class PropensityFit_fSet

Class PropensityObj

Methods Available for Objects of Class PropensityObj

Class QLearn

Class QLearnObj

Class RWL

Methods Available for Objects of Class RWL

Class RadialKernel

Methods Available for Objects of Class RadialKernel

Class Regime

Methods Available for Objects of Class Regime

Class RegimeObj

Methods Available for Objects of Class RegimeObj

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

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

Class TxInfoList

Methods Available for Objects of 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 TypedFitObj

Methods Available for Objects of Class TypedFitObj

Class TypedFit_SubsetList

Methods Available for Objects of Class TypedFit_SubsetList

Class TypedFit_fSet

Methods Available for Objects of Class TypedFit_fSet

Adolescent BMI dataset (generated toy example)

Backwards Outcome Weighted Learning.

Create Model Objects for Subsets of Data

Retrieve Classification Regression Analysis

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

Extract Cross-Validation Results

apply() for List objects

Perform Classification Step

Efficient Augmentation and Relaxation Learning

Retrieve the Estimated Value

Defining the fSet Input Variable

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-Learning

Retrieve the Genetic Algorithm Results

Retrieve Outcome for Both Tx Options When Tx is Binary

Retrieve Propensity for Tx Received

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

Defining the iter Input Variable

Defining the moPropen Input Variable

Create a BOWL Object for First Step of BOWL Algorithm

Create a BOWL Object

Create a CVInfo Object

Create a New CVInfoObj Object

An n-Fold Cross Validation Step

Complete a Classification Regression Step

Create an Object of Class ClassificationFitObj

Complete an EARL Analysis

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

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

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

Complete Second Stage Analysis of Interactive Q-Learning Algorithm

Create a KernelObj

Complete a Learning Analysis

Combine model object models

Create Internal Model Objects for Subsets of Data

Complete an OWL Analysis

Complete an Optimization Step

Create an OptimObj Object

Estimate the Optimal Treatment and Value Using Classification

Complete a the Coarsened/Missing Data Analysis

Perform an Outcome Regression Step

Create a new OutcomeObj object

Complete a Propensity Regression Step

Create a new PropensityObj object

Perform a Step of the Q-Learning Algorithm

Complete a Residual Weighted Learning Analysis

Complete a Residual Weighted Learning Analysis

Create a new Regime object

Create a New RegimeObj Object

Create TxObj Object

Create TxSubset Object

Complete a Regression Step

Create a new TypedFitObj object

Extract or Estimate the Optimal Tx and Decision Functions

Extract Optimization Results

Classification Perspective

Missing or Coarsened Data Perspective - Genetic Algorithm

Retrieve Outcome Regression Analysis

Outcome Weighted Learning

Generates Plots as Defined by Modeling Functions

Retrieve Propensity Regression Analysis

A Step of the Q-Learning Algorithm

Quantile-Quantile Plots

Extract Regime Parameters

Extract Model Residuals

Residual Weighted Learning

Standard Deviation

Define the Objective Function

Result Summaries