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RLoptimal
View on CRAN: Click
here
Download and install RLoptimal package within the R console
Install from CRAN:
install.packages("RLoptimal")
Install from Github:
library("remotes")
install_github("cran/RLoptimal")
Install by package version:
library("remotes")
install_version("RLoptimal", "1.2.1")
Attach the package and use:
library("RLoptimal")
Maintained by
Kentaro Matsuura
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.RLoptimal . https://github.com/MatsuuraKentaro/RLoptimal/issues . https://github.com/MatsuuraKentaro/RLoptimal . RLoptimal results . RLoptimal.pdf . RLoptimal_1.2.1.tar.gz . RLoptimal_1.2.1.zip . RLoptimal_1.2.1.zip . RLoptimal_1.2.1.zip . RLoptimal_1.2.1.tgz . RLoptimal_1.2.1.tgz . RLoptimal_1.2.1.tgz . RLoptimal_1.2.1.tgz . RLoptimal_1.2.1.tgz . RLoptimal_1.2.1.tgz . RLoptimal archive . https://CRAN.R-project.org/package=RLoptimal .
First Published: 2024-10-03
Latest Update: 2024-10-03
Description:
An implementation to compute an optimal adaptive allocation rule using deep reinforcement learning in a dose-response study (Matsuura et al. (2022) <doi:10.1002/sim.9247>). The adaptive allocation rule can directly optimize a performance metric, such as power, accuracy of the estimated target dose, or mean absolute error over the estimated dose-response curve.
How to cite:
Kentaro Matsuura (2024). RLoptimal: Optimal Adaptive Allocation Using Deep Reinforcement Learning. R package version 1.2.1, https://cran.r-project.org/web/packages/RLoptimal. Accessed 17 Feb. 2025.
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