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' |

qqplot | Quantile-Quantile Plots |

qqplot-method | Quantile-Quantile Plots |

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 |