Methods for Estimating Optimal Dynamic Treatment Regimes

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Documentation for package ‘DynTxRegime’ version 3.2

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DynTxRegime-package Methods for Estimating Optimal Dynamic Treatment Regimes
bmiData Adolescent BMI dataset (generated toy example)
bowl Backward Outcome Weighted Learning
buildModelObjSubset Create Model Objects for Subsets of Data.
classif Retrieve Classification Value Object
coef Retrieve Model Coefficients
cvInfo Retrieve Cross-Validation Results
DTRstep Identify Statistical Method of DynTxRegime Object
DynTxRegime-class Class '"DynTxRegime"'
earl Efficient Augmentation and Relaxation Learning
estimator Estimated Value of Estimated Optimal Regime
estimator-method Estimated Value of Estimated Optimal Regime
fitObject Modeling Function Value Objects
fittedCont Extract Fitted Contrast Component of Outcome
fittedMain Extract Fitted Main Effects of Outcome
fSet Defining the fSet input variable
genetic Retrieve the Result of the Genetic Algorithm Optimization
iqLearnFSC IQ-Learning: Regression of Estimated Second-Stage Contrasts
iqLearnFSM IQ-Learning: Regression of Estimated Second-Stage Main Effects
iqLearnFSV IQ-Learning: Variance of the Regression of the Estimated Second-Stage Contrast (IQ3)
iqLearnSS IQ-Learning: Second-Stage Regression
iter Defining the iter input variable
moPropen Defining the moPropen input variable
optimalClass Classification Based Estimation of Optimal Dynamic Treatment Regimes
optimalSeq Regression Based Value-Search Estimation of Optimal Dynamic Treatment Regimes
optimObj Retrieve Optimization Value Object
optTx Methods to Retrieve Estimated Optimal Treatment or to Predict Optimal Treatment
optTx-method Methods to Retrieve Estimated Optimal Treatment or to Predict Optimal Treatment
outcome Retrieve Regression Objects for the Outcome Regression Models
owl Outcome Weighted Learning
plot Generate Standard Plots
plot-method Generate Standard Plots
plugInValue Estimate Plug-in Value
propen Retrieve Regression Objects for Propensity Score
qLearn Q-learning
qqplot IQ-Learning: Generate QQ-Plots for Variance Modeling .
qqplot-method IQ-Learning: Generate QQ-Plots for Variance Modeling .
regimeCoef Retrieve Regime Parameter Estimates
residuals Extract Model Residuals
rwl Residual Weighted Learning to Estimate Optimal Treatment Regimes
sd Standard Deviation of IQ-Learning Variance Step
sd-method Standard Deviation of IQ-Learning Variance Step
show Show an Object
summary Summary Results
summary-method Summary Results