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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.
| Version: | 4.15 |
| Depends: | methods, modelObj, stats |
| Imports: | kernlab, rgenoud, dfoptim |
| Suggests: | MASS, rpart, nnet |
| Published: | 2023-11-24 |
| Author: | S. T. Holloway, E. B. Laber, K. A. Linn, B. Zhang, M. Davidian, and A. A. Tsiatis |
| Maintainer: | Shannon T. Holloway <shannon.t.holloway at gmail.com> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| Materials: | NEWS |
| In views: | CausalInference |
| CRAN checks: | DynTxRegime results |
| Reference manual: | DynTxRegime.pdf |
| Package source: | DynTxRegime_4.15.tar.gz |
| Windows binaries: | r-devel: DynTxRegime_4.15.zip, r-release: DynTxRegime_4.15.zip, r-oldrel: DynTxRegime_4.15.zip |
| macOS binaries: | r-release (arm64): DynTxRegime_4.15.tgz, r-oldrel (arm64): DynTxRegime_4.15.tgz, r-release (x86_64): DynTxRegime_4.15.tgz, r-oldrel (x86_64): DynTxRegime_4.15.tgz |
| Old sources: | DynTxRegime archive |
| Reverse imports: | DevTreatRules, polle |
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