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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
4.16 |
rolling linux/jammy R-4.5 | DynTxRegime_4.16.tar.gz |
1.3 MiB |
4.16 |
rolling linux/noble R-4.5 | DynTxRegime_4.16.tar.gz |
1.3 MiB |
4.16 |
rolling source/ R- | DynTxRegime_4.16.tar.gz |
206.5 KiB |
4.16 |
latest linux/jammy R-4.5 | DynTxRegime_4.16.tar.gz |
1.3 MiB |
4.16 |
latest linux/noble R-4.5 | DynTxRegime_4.16.tar.gz |
1.3 MiB |
4.16 |
latest source/ R- | DynTxRegime_4.16.tar.gz |
206.5 KiB |
4.16 |
2026-04-26 source/ R- | DynTxRegime_4.16.tar.gz |
206.5 KiB |
4.16 |
2026-04-23 source/ R- | DynTxRegime_4.16.tar.gz |
206.5 KiB |
4.16 |
2026-04-09 windows/windows R-4.5 | DynTxRegime_4.16.zip |
1.3 MiB |
4.15 |
2025-04-20 source/ R- | DynTxRegime_4.15.tar.gz |
203.3 KiB |