Functions to implement Q-learning for estimating optimal dynamic treatment regimes from two stage sequentially randomized trials, and to perform inference via m-out-of-n bootstrap for parameters indexing the optimal regime.
| Version: | 1.0 |
| Published: | 2012-03-09 |
| Author: | Jingyi Xin, Bibhas Chakraborty, and Eric B. Laber |
| Maintainer: | Bibhas Chakraborty <bc2425 at columbia.edu> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| CRAN checks: | qLearn results |
| Reference manual: | qLearn.pdf |
| Package source: | qLearn_1.0.tar.gz |
| Windows binaries: | r-devel: qLearn_1.0.zip, r-release: qLearn_1.0.zip, r-oldrel: qLearn_1.0.zip |
| macOS binaries: | r-release: qLearn_1.0.tgz, r-oldrel: qLearn_1.0.tgz |
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