DynTxRegime: Methods for Estimating Optimal Dynamic Treatment Regimes

Methods to estimate dynamic treatment regimes using Interactive Q-Learning, Q-Learning, weighted learning, and value-search methods based on Augmented Inverse Probability Weighted Estimators and Inverse Probability Weighted Estimators.

Getting started

Package details

AuthorS. T. Holloway, E. B. Laber, K. A. Linn, B. Zhang, M. Davidian, and A. A. Tsiatis
MaintainerShannon T. Holloway <sthollow@ncsu.edu>
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:

Try the DynTxRegime package in your browser

Any scripts or data that you put into this service are public.

DynTxRegime documentation built on Dec. 16, 2019, 1:35 a.m.