Package: GTbasedIM 1.0.0

Laura Davila-Pena

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.

Authors:Laura Davila-Pena [aut, cre]

GTbasedIM_1.0.0.tar.gz
GTbasedIM_1.0.0.tar.gz(r-4.5-noble)GTbasedIM_1.0.0.tar.gz(r-4.4-noble)
GTbasedIM_1.0.0.tgz(r-4.4-emscripten)GTbasedIM_1.0.0.tgz(r-4.3-emscripten)
GTbasedIM.pdf |GTbasedIM.html✨
GTbasedIM/json (API)

# Install 'GTbasedIM' in R:
install.packages('GTbasedIM', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Uses libs:
  • openjdk– OpenJDK Java runtime, using Hotspot JIT
Datasets:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 5 exports 13 dependencies

Last updated 18 days agofrom:81e924f87c. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 08 2024
R-4.5-linuxOKOct 08 2024

Exports:checkingIM_depIM_nodepMellpredictions

Dependencies:abindCoopGamegeometrygtoolslinproglpSolvemagicrcddRcppRcppProgressrJavaRWekaRWekajars