R: DTR Estimation and Inference via G-Estimation, Dynamic WOLS, Q-Learning, and Dynamic Weighted Survival Modeling (DWSurv)

# DTR Estimation and Inference via G-Estimation, Dynamic WOLS, Q-Learning, and Dynamic Weighted Survival Modeling (DWSurv)

## Documentation for package ‘DTRreg’ version 2.4

- DESCRIPTION file
- Package NEWS

## Help Pages

autoplot.DTRreg | Diagnostic Plots for DTR Estimation via autoplot()
chooseM | Adaptive Choice of the Bootstrap Resample Size M
coef.DTRreg | DTR Estimation and Inference via G-estimation, Dynamic WOLS, or Q-learning
confint.DTRreg | Confidence Interval Calculations for DTRs
data | Toy Two-Stage Trial Datasets
DTRreg | DTR Estimation and Inference via G-estimation, Dynamic WOLS, or Q-learning
DWSurv | DTR estimation and inference for time-to-event data using DWSurv
plot.DTRreg | Diagnostic Plots for DTR Estimation
predict.DTRreg | Optimal Outcome Prediction for DTRs
print.DTRreg | DTR Estimation and Inference via G-estimation, Dynamic WOLS, or Q-learning
summary.DTRreg | DTR Estimation and Inference via G-estimation, Dynamic WOLS, or Q-learning
twoStageCens | Toy Two-Stage Trial Datasets
twoStageCont | Toy Two-Stage Trial Datasets
twoStageSurv | Toy Two-Stage Trial Datasets