DynTxRegime: A comprehensive package for analysis of dynamic treatment regimes (R).

TitleDynTxRegime: A comprehensive package for analysis of dynamic treatment regimes (R).
Publication TypeSoftware
Year of Publication2017
AuthorsHolloway, Shannon T., Eric B. Laber, Kristin A. Linn, Baqun Zhang, Marie Davidian, and Anastasios A. Tsiatis
Versionv3.1
Abstract

R Package provides several methods to estimate Dynamic Treatment Regimes using IQ-Learning, Q-Learning, Augmented Inverse Probability Weighted Estimators, Inverse Probability Weighted Estimators, Outcome Weighted Learning, Residual Weighted Learning, Efficient Augmentation and Relaxation Learning and Backward Outcome Weighted Learning
Original PublicationDynTxRegime: A comprehensive package for analysis of dynamic treatment regimes (R).
Project: 
Project 2.4
Software Demonstration Weblink: 
R Package
On-line Interactive Tutorial