R Observatory: Metrics for binaryRL version 0.9.9

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

binaryRL

0.9.9

Reinforcement Learning Tools for Two-Alternative Forced Choice Tasks

0packages depend

4.9Kdownloads / year

–test coverage

13/13checks pass

Overview

About

Maintained by YuKiFirst published 2025-05-138 releasesCRAN page ↗GitHub ↗

Tools for building Rescorla-Wagner Models for Two-Alternative Forced Choice tasks, commonly employed in psychological research. Most concepts and ideas within this R package are referenced from Sutton and Barto (2018) <ISBN:9780262039246>. The package allows for the intuitive definition of RL models using simple if-else statements and three basic models built into this R package are referenced from Niv et al. (2012) doi:10.1523/JNEUROSCI.5498-10.2012. Our approach to constructing and evaluating these computational models is informed by the guidelines proposed in Wilson & Collins (2019) doi:10.7554/eLife.49547. Example datasets included with the package are sourced from the work of Mason et al. (2024) doi:10.3758/s13423-023-02415-x.

Install

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

install.packages("binaryRL", 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/binaryRL")

Development version from yuki-961004/binaryRL. 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-binaryrl

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-binaryRL

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-binaryRL

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

Health

CRAN checks

13OK

Slowest check: 2.9 min · r-devel-windows-x86_64

Code health

None

Tests · ratio 0.00

not tracked

Coverage

100%

Documentation · exports

7

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
OK2026-04-22
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
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: 17%
Documented parameters: 97%
Return-value docs: 100%
References docs: 0%

Downloads

4.9K

CRAN downloads in the past year

Rank #6,977 · ~14/day · ~412/mo

Releases R versions

Daily download trend is not available in this view yet.

23530 days

1.2K90 days

4.9K1 year

Compare downloads with other packages →

Also on510 r2u57 autocran

Repository

GitHub ↗ yuki-961004/binaryrl

10Stars

0Forks

0Open issues

0Open PRs

93Releases

411Commits

2Contributors

psychologyreinforcement-learningtafcmapmler-packagesrcpp

License GPL-3.0 · 411 commits · Last activity 2026-03-13

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/binaryrl 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

20 external dependencies (excludes base and recommended)

Depends (1)

R >= 4.0.0

Imports (7)

Rcppcompilerfuture doFuture foreach doRNG progressr

LinkingTo (1)

Rcpp

Suggests (14)

statsGenSA GA DEoptim pso mlrMBO mlr ParamHelpers smoof lhs DiceKriging rgenoud cmaes nloptr

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (1)

Maintainer (1)

YuKi

Author, Maintainer

Authors (1)

YuKi

Author, Maintainer

Package Timeline

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

R
R 4.6.0 released · 2026-04-24
0.9.9Latest
2026-01-08 · current release · diff ↗
0.9.8
2025-10-28 · diff ↗
0.9.7
2025-08-20 · diff ↗
0.9.0
2025-07-08 · diff ↗
0.8.9
2025-06-15 · diff ↗
0.8.7
2025-06-10 · diff ↗
0.8.3
2025-05-23 · diff ↗
0.8.0
2025-05-13
R
R 4.5.0 released · 2025-04-11

Package metadata

First published: 2025-05-13
Total releases: 8 / 1 yrs
License: GPL-3 OSI
Minimum R: ≥ 4.0.0
Bundled data: 334 KB / 2 files
Download size: 417 KB
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("binaryRL")

Format

YuKi. (2026). binaryRL: Reinforcement Learning Tools for Two-Alternative Forced Choice Tasks (Version 0.9.9) [Computer software]. https://doi.org/10.32614/CRAN.package.binaryRL

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 binaryRL version 0.9.9 [Data set]. HJJB, LLC. Data release v2026-08-17. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-17, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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