R Observatory: Metrics for multiRL version 0.4.5

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

multiRL

0.4.5

Reinforcement Learning Tools for Multi-Armed Bandit

0packages depend

1.7Kdownloads / year

–test coverage

13/13checks pass

Overview

About

Maintained by YuKiFirst published 2026-01-263 releasesCRAN page ↗GitHub ↗

A flexible general-purpose toolbox for implementing Rescorla-Wagner models in multi-armed bandit tasks. As the successor and functional extension of the 'binaryRL' package, 'multiRL' modularizes the Markov Decision Process (MDP) into six core components. This framework enables users to construct custom models via intuitive if-else syntax and define latent learning rules for agents. For parameter estimation, it provides both likelihood-based inference (MLE and MAP) and simulation-based inference (ABC and RNN), with full support for parallel processing across subjects. The workflow is highly standardized, featuring four main functions that strictly follow the four-step protocol (and ten rules) proposed by Wilson & Collins (2019) doi:10.7554/eLife.49547. Beyond the three built-in models (TD, RSTD, and Utility), users can easily derive new variants by declaring which variables are treated as free parameters.

Install

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

install.packages("multiRL", 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("yuki-961004/multiRL")

Development version from yuki-961004/multiRL. 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-multirl

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled.

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-multiRL

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-multiRL

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed).

Health

CRAN checks

13OK

Slowest check: 3.4 min · r-devel-windows-x86_64

Code health

None

Tests · ratio 0.00

not tracked

Coverage

100%

Documentation · exports

12

Dependencies · direct

Check history

OK2026-08-05
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
NOTE2026-08-01
12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
OK2026-06-10
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
ERROR2026-04-25
11 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
OK2026-04-22
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Show 2 earlier snapshots

ERROR2026-04-18
13 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
OK2026-03-10
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMENoVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo

Examples that run: 100%
Documented parameters: 100%
Return-value docs: 100%
References docs: 10%

Downloads

1.7K

CRAN downloads in the past year

Rank #14,669 · ~5/day · ~140/mo

Releases R versions

Daily download trend is not available in this view yet.

22330 days

70390 days

1.7K1 year

Compare downloads with other packages →

Also on241 r2u19 autocran

Repository

GitHub ↗ yuki-961004/multirl

4Stars

0Forks

0Open issues

0Open PRs

59Releases

135Commits

2Contributors

abcif-elsekeraskeras3mapmlemulti-armed-banditpca

License GPL-3.0 · 135 commits · Last activity 2026-07-28 · 0% stars, 30d

Stars over time

2026-01-27 · 12026-07-07 · 4

Repository practices

Upstream repositoryBeta

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

Checks run against github.com/yuki-961004/multirl on 2026-08-16.

Continuous integration (1)

GitHub Actions

Lint, format, editor (1)

RStudio project

Git structural (1)

.gitattributes

How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies

27 external dependencies (excludes base and recommended)

Depends (1)

R >= 4.1.0

Imports (12)

methodsutilsRcppcompilerfuture doFuture foreach doRNG progressr ggplot2 scalesgrDevices

LinkingTo (1)

Rcpp

Suggests (19)

statsGenSA GA DEoptim pso mlrMBO mlr ParamHelpers smoof lhs DiceKriging rgenoud cmaes nloptr abc pls reticulate keras keras3

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (2)

Maintainer (1)

YuKi

Author, Maintainer

Authors (2)

YuKi

Author, Maintainer

Xinyu

Author

Package Timeline

3 releases. Pick two to compare their code metrics. R releases are shown for context.

0.4.5Latest
2026-06-09 · current release · diff ↗
R
R 4.6.0 released · 2026-04-24
0.3.7
2026-03-31 · diff ↗
0.2.3
2026-03-10
R
R 4.5.0 released · 2025-04-11

Package metadata

First published: 2026-01-26
Total releases: 3 / 1 yrs
License: GPL-3 OSI
Minimum R: ≥ 4.1.0
Bundled data: 623 KB / 3 files
Download size: 756 KB
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("multiRL")

Format

YuKi, & Xinyu. (2026). multiRL: Reinforcement Learning Tools for Multi-Armed Bandit (Version 0.4.5) [Computer software]. https://doi.org/10.32614/CRAN.package.multiRL

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

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 multiRL version 0.4.5 [Data set]. HJJB, LLC. Data release v2026-08-21. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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