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RLescalation: Optimal Dose Escalation Using Deep Reinforcement Learning
An implementation to compute an optimal dose escalation rule using deep reinforcement learning in phase I oncology trials (Matsuura et al. (2023) <doi:10.1080/10543406.2023.2170402>). The dose escalation rule can directly optimize the percentages of correct selection (PCS) of the maximum tolerated dose (MTD).
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Package details |
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| Author | Kentaro Matsuura [aut, cre, cph] (<https://orcid.org/0000-0001-5262-055X>) |
| Maintainer | Kentaro Matsuura <matsuurakentaro55@gmail.com> |
| License | MIT + file LICENSE |
| Version | 1.0.2 |
| URL | https://github.com/MatsuuraKentaro/RLescalation |
| Package repository | View on CRAN |
| Installation |
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