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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.1.2 |
2026-04-09 windows/windows R-4.5 | BayesRegDTR_1.1.2.zip |
685.5 KiB |