R Observatory: Metrics for RLescalation version 1.0.3

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

RLescalation

1.0.3Package record

Optimal Dose Escalation Using Deep Reinforcement Learning

0packages depend

2.1Kdownloads / year

–test coverage

13/13flavors OK

Overview

About

Maintained by Kentaro MatsuuraCRAN page ↗GitHub ↗Issues ↗

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).

Install

R (CRAN)pak (dev)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("RLescalation", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("MatsuuraKentaro/RLescalation")

Development version from MatsuuraKentaro/RLescalation. Installs pak first if it is not already available.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-rlescalation

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-RLescalation

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-RLescalation

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13OK

CRAN check page ↗

Slowest check: 1.4 min · r-oldrel-macos-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.0.3

READMEYes · 587 wordsVignettesYes · 1 · dynamicNEWSYes · 67% structured · does not mention 1.0.3Citation fileNoWebsitenot declared in DESCRIPTION

Help pages: 8
Examples that run: 60%3 run in a plain check · 2 never run
Exported functions with examples: 63%
Documented parameters: 90%
Return-value docs: 63%
Help pages citing references: 0%

Vignettes (1)

Optimal Dose Escalation Using Deep Reinforcement Learning HTML

How these are measured

Downloads

2.1K

CRAN downloads in the past year

Rank #22,745 · ~6/day · ~176/mo

Releases R versions

Daily download trend is not available in this view yet.

19330 days

58290 days

2.1K1 year

Compare downloads with other packages →

Also on81 r2u1 autocran

How downloads are counted

Repository

matsuurakentaro/rlescalation ↗Account: MatsuuraKentaro

2Stars

0Forks

1Open issues

0Open PRs

3Releases

13Commits

1Commit identities

13 commits · Last activity 2025-10-07 · 0% stars, 30d

Responsiveness

not measured

Stars over time

2025-10-15 · 12026-07-07 · 2

How these are measured

PracticesBeta

3 development-tooling and community-health practices detected across 2 families in the upstream repository

Checks run against github.com/matsuurakentaro/rlescalation on 2026-10-22.

Continuous integration (2)

GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

Docs source (1)

README.Rmd

How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies

7 external dependencies (excludes base and recommended)

Installing RLescalation adds 15 packages (11 with compiled code, 6.8 MB of source tarballs). Heaviest: Rcpp 1.8 MB, reticulate 1.6 MB, jsonlite 1.0 MB.

Depends (0)

none

Imports (7)

glue R6 nleqslv reticulatestatsutilszip

LinkingTo (0)

none

Suggests (2)

knitr rmarkdown

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

People & History

People (1)

Kentaro Matsuura

Releases (3)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
1.0.3Latest
record
2025-10-07 · current release · diff ↗
R
R 4.5.0 released · 2025-04-11
1.0.2
record
2025-02-08 · diff ↗
1.0.1
record
2025-01-09
R
R 4.4.0 released · 2024-04-24

Package metadata

First published: 2025-01-09
Total releases: 3 / 1 yrs
License: MIT + file LICENSE OSI
Download size: 85 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("RLescalation")

Format

Matsuura, K. (2025). RLescalation: Optimal Dose Escalation Using Deep Reinforcement Learning (Version 1.0.3) [Computer software]. https://doi.org/10.32614/CRAN.package.RLescalation

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for RLescalation version 1.0.3 [Data set]. HJJB, LLC. Data release v2026-10-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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