r-qlearn
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.
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.
| Name | Type | Version | Platform | Labels | Updated | Size | Downloads | Actions |
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noarch/r-qlearn-1.0-r36h6115d3f_0.tar.bz2 | conda | 1.0 | noarch | main | Oct 15, 2019, 04:40 PM | 49.76 KB | 1 |