Package: RLescalation 1.0.3

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).

Authors:Kentaro Matsuura [aut, cre, cph]

RLescalation_1.0.3.tar.gz
RLescalation_1.0.3.zip(r-4.7)RLescalation_1.0.3.zip(r-4.6)RLescalation_1.0.3.zip(r-4.5)
RLescalation_1.0.3.tgz(r-4.6-any)RLescalation_1.0.3.tgz(r-4.5-any)
RLescalation_1.0.3.tar.gz(r-4.7-any)RLescalation_1.0.3.tar.gz(r-4.6-any)
RLescalation_1.0.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
RLescalation/json (API)
NEWS

# Install 'RLescalation' in R:
install.packages('RLescalation', repos = c('https://matsuurakentaro.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/matsuurakentaro/rlescalation/issues

On CRAN:

Conda:

4.00 score 2 stars 195 downloads 8 exports 16 dependencies

Last updated from:11151fdc2d. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK119
source / vignettesOK181
linux-release-x86_64OK114
macos-release-arm64OK69
macos-oldrel-arm64OK116
windows-develOK66
windows-releaseOK88
windows-oldrelOK68
wasm-releaseOK107

Exports:clean_python_settingscompute_rl_scenariosEscalationRulelearn_escalation_rulerl_config_setrl_dnn_configsetup_pythonsimulate_one_trial

Dependencies:glueherejsonlitelatticeMatrixnleqslvpngR6rappdirsRcppRcppTOMLreticulaterlangrprojrootwithrzip

Optimal Dose Escalation Using Deep Reinforcement Learning

Kentaro Matsuura

Rendered fromRLescalation.Rmdusingknitr::rmarkdownon May 09 2026.

Last update: 2025-02-10
Started: 2024-12-31