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RLescalation  

Optimal Dose Escalation Using Deep Reinforcement Learning
View on CRAN: Click here


Download and install RLescalation package within the R console
Install from CRAN:
install.packages("RLescalation")

Install from Github:
library("remotes")
install_github("cran/RLescalation")

Install by package version:
library("remotes")
install_version("RLescalation", "1.0.3")



Attach the package and use:
library("RLescalation")
Maintained by
Kentaro Matsuura
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-01-09
Latest Update: 2025-02-08
Description:
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).
How to cite:
Kentaro Matsuura (2025). RLescalation: Optimal Dose Escalation Using Deep Reinforcement Learning. R package version 1.0.3, https://cran.r-project.org/web/packages/RLescalation. Accessed 24 Oct. 2026.
Previous versions and publish date:
(2026-07-09 08:19), 1.0.1 (2025-01-09 19:10), 1.0.2 (2025-02-08 04:10)
Other packages that cited RLescalation R package
View RLescalation citation profile
Other R packages that RLescalation depends, imports, suggests or enhances
Complete documentation for RLescalation
Functions, R codes and Examples using the RLescalation R package
Full RLescalation package functions and examples
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