TUGLab

0.0.1

A Laboratory for TU Games

0packages depend

1.7Kdownloads / year

–test coverage

12/13checks pass

Overview

About

Maintained by Álvaro de Prado SaboridoFirst published 2025-06-101 releasesCRAN page ↗GitHub ↗

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.

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.

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).

Health

CRAN checks

1NOTE12OK

Failing flavors

NOTE r-devel-linux-x86_64-debian-gcc

Slowest check: 3.8 min · r-oldrel-windows-x86_64

Code health

None

Tests · ratio 0.00

not tracked

Coverage

100%

Documentation · exports

Dependencies · direct

Check history

NOTE2026-08-01
12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
OK2026-06-09
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
ERROR2026-06-08
12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
OK2026-04-10
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
ERROR2026-04-09
13 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE

Show 1 earlier snapshots

OK2026-03-10
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMENoVignettesNopkgdown siteNoNEWSYes · 67% structuredCode of conductNoContributing guideNo

Examples that run: 100%
Documented parameters: 100%
Return-value docs: 100%
References docs: 45%

Downloads

1.7K

CRAN downloads in the past year

Rank #22,912 · ~5/day · ~146/mo

Releases R versions

Daily download trend is not available in this view yet.

8430 days

45790 days

1.7K1 year

Compare downloads with other packages →

Also on92 r2u4 autocran

Repository

GitHub ↗ esanchez-coder/tuglab

0Stars

0Forks

1Open issues

0Open PRs

0Releases

Last activity 2025-06-05

Repository practices

Upstream repositoryBeta

Checks run against github.com/esanchez-coder/tuglab on 2026-08-02.

No development-tooling practices detected in the upstream repository.

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

Dependencies

Declared dependencies

5 external dependencies (excludes base and recommended)

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.

Code & Tests

People & History

People (7)

Maintainer (1)

Álvaro de Prado Saborido

Author, Maintainer

Authors (5)

Álvaro de Prado Saborido

Author, Maintainer

Miguel Ángel Mirás Calvo

Author

Iago Núñez Lugilde

Author

Carmen Quinteiro Sandomingo

Author

Estela Sánchez Rodríguez

Author

Contributors (1)

Alejandro Bernárdez Ferradás

Contributor

Funders (1)

MCIN/AEI/10.13039/501100011033

Funder

Package Timeline

1 release. R releases are shown for context.

R
R 4.6.0 released · 2026-04-24
0.0.1Latest
2026-03-10 · 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
Installed size: not tracked yet
With dependencies: not tracked yet

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