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 |