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TUGLab
View on CRAN: Click
here
Download and install TUGLab package within the R console
Install from CRAN:
install.packages("TUGLab")
Install from Github:
library("remotes")
install_github("cran/TUGLab") Install by package version:
library("remotes")
install_version("TUGLab", "0.0.1") Attach the package and use:
library("TUGLab")
Maintained by
Álvaro de Prado Saborido
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[Scholar Profile | Author Map]
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First Published: 2025-06-10
Latest Update: 2025-06-10
Description:
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.
How to cite:
Álvaro de Prado Saborido (2025). TUGLab: A Laboratory for TU Games. R package version 0.0.1, https://cran.r-project.org/web/packages/TUGLab. Accessed 07 Jun. 2026.
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