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. Dynamic Treatment Regimes: Statistical Methods for Precision Medicine, Tsiatis, A. A., Davidian, M. D., Holloway, S. T., and Laber, E. B., Chapman & Hall/CRC Press, 2020, ISBN:978-1-4987-6977-8.
- Version4.15
- R versionunknown
- LicenseGPL-2
- Needs compilation?No
- Last release11/24/2023
Documentation
Team
M. Davidian
S. T. Holloway
E. B. Laber
K. A. Linn
B. Zhang
A. A. Tsiatis
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- Depends1 package
- Imports3 packages
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