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GTbasedIM: Game Theory-Based Influence Measures

Understanding how features influence a specific response variable becomes crucial in classification problems, with applications ranging from medical diagnosis to customer behavior analysis. This packages provides tools to compute such an influence measure grounded on game theory concepts. In particular, the influence measures presented in Davila-Pena, Saavedra-Nieves, and Casas-Méndez (2024) <doi:10.48550/arXiv.2408.02481> can be obtained.

Version: 1.0.0
Depends: R (≥ 2.10)
Imports: CoopGame, RWeka, stats
Published: 2024-10-07
DOI: 10.32614/CRAN.package.GTbasedIM
Author: Laura Davila-Pena ORCID iD [aut, cre]
Maintainer: Laura Davila-Pena <lauradavila.pena at usc.es>
License: GPL-2
NeedsCompilation: no
Citation: GTbasedIM citation info
CRAN checks: GTbasedIM results

Documentation:

Reference manual: GTbasedIM.pdf

Downloads:

Package source: GTbasedIM_1.0.0.tar.gz
Windows binaries: r-devel: GTbasedIM_1.0.0.zip, r-release: GTbasedIM_1.0.0.zip, r-oldrel: GTbasedIM_1.0.0.zip
macOS binaries: r-release (arm64): GTbasedIM_1.0.0.tgz, r-oldrel (arm64): GTbasedIM_1.0.0.tgz, r-release (x86_64): GTbasedIM_1.0.0.tgz, r-oldrel (x86_64): GTbasedIM_1.0.0.tgz

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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