A comprehensive toolkit for estimating Dynamic Treatment Regimes. Available methods include Interactive Q-Learning, Q-Learning, and value-search methods based on Augmented Inverse Probability Weighted estimators and Inverse Probability Weighted estimators.
| Version: | 2.1 |
| Depends: | methods, modelObj |
| Suggests: | MASS, rpart, nnet, rgenoud |
| Published: | 2015-06-11 |
| Author: | S. T. Holloway, E. B. Laber, K. A. Linn, B. Zhang, M. Davidian, and A. A. Tsiatis |
| Maintainer: | Shannon T. Holloway <sthollow at ncsu.edu> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| CRAN checks: | DynTxRegime results |
| Reference manual: | DynTxRegime.pdf |
| Package source: | DynTxRegime_2.1.tar.gz |
| Windows binaries: | r-devel: DynTxRegime_2.1.zip, r-release: DynTxRegime_2.1.zip, r-oldrel: DynTxRegime_2.1.zip |
| OS X Mavericks binaries: | r-release: DynTxRegime_2.1.tgz, r-oldrel: DynTxRegime_2.1.tgz |
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