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:
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')) |
- cars_binary - Cars Binary Dataset
- cars_original - Cars Original Dataset
- spotify_15 - Spotify 15 Dataset
- spotify_75 - Spotify 75 Dataset
- spotify_original - Spotify Original Dataset
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 3 months agofrom:81e924f87c. Checks:OK: 2. Indexed: no.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Dec 07 2024 |
| R-4.5-linux | OK | Dec 07 2024 |
Exports:checkingIM_depIM_nodepMellpredictions
Dependencies:abindCoopGamegeometrygtoolslinproglpSolvemagicrcddRcppRcppProgressrJavaRWekaRWekajars
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Cars Binary Dataset | cars_binary |
| Cars Original Dataset | cars_original |
| checking Function: Check Specified Rows Within Dataset | checking |
| IM_dep Function: Calculate Influence Measure with Dependent Features | IM_dep |
| IM_nodep Function: Calculate Influence Measure for Features Without Dependency | IM_nodep |
| Mell Function: Subset Data Based on Group Index Conditions | Mell |
| Predictions Function: Generate predictions using classifiers from RWeka | predictions |
| Spotify 15 Dataset | spotify_15 |
| Spotify 75 Dataset | spotify_75 |
| Spotify Original Dataset | spotify_original |
