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).
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0.3 |
rolling linux/jammy R-4.5 | RLescalation_1.0.3.tar.gz |
187.7 KiB |
1.0.3 |
rolling linux/noble R-4.5 | RLescalation_1.0.3.tar.gz |
187.6 KiB |
1.0.3 |
rolling source/ R- | RLescalation_1.0.3.tar.gz |
85.2 KiB |
1.0.3 |
latest linux/jammy R-4.5 | RLescalation_1.0.3.tar.gz |
187.7 KiB |
1.0.3 |
latest linux/noble R-4.5 | RLescalation_1.0.3.tar.gz |
187.6 KiB |
1.0.3 |
latest source/ R- | RLescalation_1.0.3.tar.gz |
85.2 KiB |
1.0.3 |
2026-04-26 source/ R- | RLescalation_1.0.3.tar.gz |
85.2 KiB |
1.0.3 |
2026-04-23 source/ R- | RLescalation_1.0.3.tar.gz |
85.2 KiB |
1.0.3 |
2026-04-09 windows/windows R-4.5 | RLescalation_1.0.3.zip |
192.3 KiB |
1.0.2 |
2025-04-20 source/ R- | RLescalation_1.0.2.tar.gz |
85.2 KiB |