Methods for Estimating Optimal Dynamic Treatment Regimes

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Documentation for package ‘DynTxRegime’ version 4.9

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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