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 |