DTRstep                 Identify Statistical Method of DynTxRegime
                        Object
DynTxRegime-class       Class '"DynTxRegime"'
DynTxRegime-package     Methods for Estimating Optimal Dynamic
                        Treatment Regimes
bmiData                 Adolescent BMI dataset (generated toy example)
bowl                    Backward Outcome Weighted Learning
buildModelObjSubset     Create Model Objects for Subsets of Data.
classif                 Retrieve Classification Value Object
coef                    Retrieve Model Coefficients
cvInfo                  Retrieve Cross-Validation Results
earl                    Efficient Augmentation and Relaxation Learning
estimator               Estimated Value of Estimated Optimal Regime
fSet                    Defining the fSet input variable
fitObject               Modeling Function Value Objects
fittedCont              Extract Fitted Contrast Component of Outcome
fittedMain              Extract Fitted Main Effects of Outcome
genetic                 Retrieve the Result of the Genetic Algorithm
                        Optimization
iqLearnFSC              IQ-Learning: Regression of Estimated
                        Second-Stage Contrasts
iqLearnFSM              IQ-Learning: Regression of Estimated
                        Second-Stage Main Effects
iqLearnFSV              IQ-Learning: Variance of the Regression of the
                        Estimated Second-Stage Contrast (IQ3)
iqLearnSS               IQ-Learning: Second-Stage Regression
iter                    Defining the iter input variable
moPropen                Defining the moPropen input variable
optTx                   Methods to Retrieve Estimated Optimal Treatment
                        or to Predict Optimal Treatment
optimObj                Retrieve Optimization Value Object
optimalClass            Classification Based Estimation of Optimal
                        Dynamic Treatment Regimes
optimalSeq              Regression Based Value-Search Estimation of
                        Optimal Dynamic Treatment Regimes
outcome                 Retrieve Regression Objects for the Outcome
                        Regression Models
owl                     Outcome Weighted Learning
plot                    Generate Standard Plots
plugInValue             Estimate Plug-in Value
propen                  Retrieve Regression Objects for Propensity
                        Score
qLearn                  Q-learning
qqplot                  IQ-Learning: Generate QQ-Plots for Variance
                        Modeling .
regimeCoef              Retrieve Regime Parameter Estimates
residuals               Extract Model Residuals
rwl                     Residual Weighted Learning to Estimate Optimal
                        Treatment Regimes
sd                      Standard Deviation of IQ-Learning Variance Step
show                    Show an Object
summary                 Summary Results
