Call                    Retrieve Unevaluated Original Call
DTRstep                 Identify Statistical Method Used to Obtain
                        Result
EARL-class              Class 'EARL'
IQLearnFS_C-class       Class 'IQLearnFS_C'
IQLearnFS_ME-class      Class 'IQLearnFS_ME'
IQLearnFS_VHet-class    Class 'IQLearnFS_VHet'
IQLearnSS-class         Class 'IQLearnSS'
OWL-class               Class 'OWL'
OptimalClass-class      Class 'OptimalClass'
OptimalClassObj-class   Class 'OptimalClassObj'
OptimalInfo-class       Class 'OptimalInfo'
OptimalSeq-class        Class 'OptimalSeq'
OptimalSeqCoarsened-class
                        Class Contains Results for the Coarsened Data
                        IPW/AIPW Method
OptimalSeqMissing-class
                        Class Contains Results for the Missing Data
                        IPW/AIPW Method
QLearn-class            Class 'QLearn'
QLearnObj-class         Class 'QLearnObj'
RWL-class               Class 'RWL'
bmiData                 Adolescent BMI dataset (generated toy example)
bowl                    Backwards Outcome Weighted Learning.
buildModelObjSubset     Create Model Objects for Subsets of Data
classif                 Retrieve Classification Regression Analysis
coef                    Extract Model Coefficients From Objects
                        Returned by Modeling Functions
cvInfo                  Extract Cross-Validation Results
earl                    Efficient Augmentation and Relaxation Learning
estimator               Retrieve the Estimated Value
fSet                    Defining the fSet Input Variable
fitObject               Objects Returned by Modeling Functions
fittedCont              Retrieve the Fitted Contrast Component from
                        Second Stage IQ-Learning
fittedMain              Retrieve the Fitted Main Effects Component from
                        Second Stage IQ-Learning
genetic                 Retrieve the Genetic Algorithm Results
iqLearn                 Interactive Q-Learning
iter                    Defining the iter Input Variable
moPropen                Defining the moPropen Input Variable
optTx                   Extract or Estimate the Optimal Tx and Decision
                        Functions
optimObj                Extract Optimization Results
optimalClass            Classification Perspective
optimalSeq              Missing or Coarsened Data Perspective - Genetic
                        Algorithm
outcome                 Retrieve Outcome Regression Analysis
owl                     Outcome Weighted Learning
plot                    Generates Plots as Defined by Modeling
                        Functions
propen                  Retrieve Propensity Regression Analysis
qLearn                  A Step of the Q-Learning Algorithm
regimeCoef              Extract Regime Parameters
residuals               Extract Model Residuals
rwl                     Residual Weighted Learning
sd                      Standard Deviation
summary                 Result Summaries
