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