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DTRreg (version 1.7)

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

Description

Dynamic treatment regime estimation and inference via G-estimation, dynamic weighted ordinary least squares (dWOLS) and Q-learning. Inference via bootstrap and (for G-estimation) recursive sandwich estimation. Estimation and inference for survival outcomes via Dynamic Weighted Survival Modeling (DWSurv). Extension to continuous treatment variables (gdwols). Wallace et al. (2017) ; Simoneau et al. (2020) .

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Version

Install

install.packages('DTRreg')

Monthly Downloads

327

Version

1.7

License

GPL-2

Maintainer

Michael Wallace

Last Published

September 13th, 2020

Functions in DTRreg (1.7)

plot

Diagnostic Plots for DTR Estimation
DWSurv

DTR estimation and inference for time-to-event data using DWSurv
chooseM

Adaptive Choice of the Bootstrap Resample Size M for the m-out-of-n Bootstrap with for DTR Estimation
confint

Flexible Confidence Interval Calculations for DTRs
DTRreg

DTR Estimation and Inference via G-estimation and Dynamic WOLS
predict

Optimal Outcome Prediction for DTRs
gdwols

DTR Estimation and Inference via Generalized dWOLS