R Observatory: Metrics for TUGLab version 0.0.1

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

TUGLab

0.0.1Package record

A Laboratory for TU Games

0packages depend

1.9Kdownloads / year

–test coverage

13/13flavors OK

Overview

About

Maintained by Álvaro de Prado SaboridoCRAN page ↗GitHub ↗Website ↗Issues ↗Declared funder: MCIN/AEI/10.13039/501100011033

Cooperative game theory models decision-making situations in which a group of agents, called players, may achieve certain benefits by cooperating to reach an optimal outcome. It has great potential in different fields, since it offers a scenario to analyze and solve problems in which cooperation is essential to achieve a common goal. The 'TUGLab' (Transferable Utility Games Laboratory) R package contains a set of scripts that could serve as a helpful complement to the books and other materials used in courses on cooperative game theory, and also as a practical tool for researchers working in this field. The 'TUGLab' project was born in 2006 trying to highlight the geometrical aspects of the theory of cooperative games for 3 and 4 players. 'TUGlabWeb' is an online platform on which the basic functions of 'TUGLab' are implemented, and it is being used all over the world as a resource in degree, master's and doctoral programs. This package is an extension of the first versions and enables users to work with games in general (computational restrictions aside). The user can check properties of games, compute well-known games and calculate several set-valued and single-valued solutions such as the core, the Shapley value, the nucleolus or the core-center. The package also illustrates how the Shapley value flexibly adapts to various cooperative game settings, including weighted players and coalitions, a priori unions, and restricted communication structures. In keeping with the original philosophy of the first versions, special emphasis is placed on the graphical representation of the solution concepts for 3 and 4 players.

Changes in 0.0.1

Initial CRAN submission.

From NEWS.md in the release

Install

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

install.packages("TUGLab", 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("esanchez-coder/TUGLab")

Development version from esanchez-coder/TUGLab. 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-tuglab

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-TUGLab

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-TUGLab

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: 3.1 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK13 OK2026-06-09
ERROR12 OK, 1 ERROR2026-06-08
OK14 OK2026-04-10

Show 2 earlier changesHide 2 earlier changes

ERROR13 OK, 1 ERROR2026-04-09
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.0.1

READMENoVignettesNoNEWSYes · 67% structured · mentions 0.0.1Citation fileNoWebsiteYes

Help pages: 67
Examples that run: 100%67 run in a plain check
Exported functions with examples: 100%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 45%

How these are measured

Downloads

1.9K

CRAN downloads in the past year

Rank #23,951 · ~5/day · ~157/mo

Releases R versions

Daily download trend is not available in this view yet.

17930 days

53490 days

1.9K1 year

Compare downloads with other packages →

Also on66 r2u4 autocran

How downloads are counted

Repository

esanchez-coder/tuglab ↗Account: esanchez-coder

0Stars

0Forks

1Open issues

0Open PRs

0Releases

Responsiveness

not measured

How these are measured

PracticesBeta

Checks run against github.com/esanchez-coder/tuglab on 2026-10-21.

No development-tooling practices detected in the upstream repository.

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

Dependencies

Declared dependencies

5 external dependencies (excludes base and recommended)

Installing TUGLab adds 74 packages (40 with compiled code, 82 MB of source tarballs). Heaviest: BH 14 MB, stringi 11 MB, ggplot2 6.0 MB.

Depends (1)

R >= 3.5

Imports (5)

geometry plotly rcdd stringr volesti

LinkingTo (0)

none

Suggests (0)

none

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

People & History

People (7)

Álvaro de Prado Saborido

Author, Maintainer since 0.0.1 (2025)

Departamento de Estatística e Investigación Operativa. Universidade de Vigo. Spain

Miguel Ángel Mirás Calvo

Author

RGEAF. Departamento de Matemáticas. Universidade de Vigo. Spain

Iago Núñez Lugilde

Author

Departamento de Matemáticas. MODES. Universidade da Coruña. Spain

Carmen Quinteiro Sandomingo

Author

Departamento de Matemáticas. Universidade de Vigo. Spain

Estela Sánchez Rodríguez

Author

SiDOR. Departamento de Estatística e Investigación Operativa. Universidade de Vigo. CITMAga. Spain

Alejandro Bernárdez Ferradás

Contributor

SiDOR. Departamento de Estatística e Investigación Operativa. Universidade de Vigo. CITMAga. Spain

MCIN/AEI/10.13039/501100011033

Funder

Project PID2021-124030NB-C33. ERDF A way of making Europe/EU

Releases (1)

R
R 4.6.0 released · 2026-04-24
0.0.1Latest
record
2025-06-10 · current release
R
R 4.5.0 released · 2025-04-11

Package metadata

First published: 2025-06-10
Total releases: 1 / 1 yrs
License: GPL-3 OSI
Minimum R: ≥ 3.5
Download size: 125 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("TUGLab")

Format

de Prado Saborido, Á., MCIN/AEI/10.13039/501100011033, Bernárdez Ferradás, A., Mirás Calvo, M. Á., Núñez Lugilde, I., Quinteiro Sandomingo, C., & Sánchez Rodríguez, E. (2025). TUGLab: A Laboratory for TU Games (Version 0.0.1) [Computer software]. https://doi.org/10.32614/CRAN.package.TUGLab

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 TUGLab version 0.0.1 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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