BayesRegDTR
Bayesian Regression for Dynamic Treatment Regimes
Methods to estimate optimal dynamic treatment regimes using Bayesian likelihood-based regression approach as described in Yu, W., & Bondell, H. D. (2023) doi:10.1093/jrsssb/qkad016 Uses backward induction and dynamic programming theory for computing expected values. Offers options for future parallel computing.
- Version1.1.2
- R versionunknown
- LicenseGPL (≥ 3)
- Needs compilation?Yes
- Last release11/27/2025
Documentation
Team
Weichang Yu
MaintainerShow author detailsJeremy Lim
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