# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "XAItest" in publications use:' type: software license: MIT title: 'XAItest: XAItest: Enhancing Feature Discovery with eXplainable AI' version: 1.4.0 doi: 10.64898/2025.12.06.692723 identifiers: - type: doi value: 10.32614/CRAN.package.XAItest abstract: XAItest is an R Package that identifies features using eXplainable AI (XAI) methods such as SHAP or LIME. This package allows users to compare these methods with traditional statistical tests like t-tests, empirical Bayes, and Fisher's test. Additionally, it includes simThresh, a system that enables the comparison of feature importance with p-values by incorporating calibrated simulated data. authors: - family-names: FIEVET given-names: Ghislain email: ghislain.fievet@gmail.com orcid: https://orcid.org/0000-0002-0337-7327 - family-names: HERGALANT given-names: Sébastien email: sebastien.hergalant@inserm.fr orcid: https://orcid.org/0000-0001-8456-7992 preferred-citation: type: article title: 'The eXplainable Artificial Intelligence (XAI) Triad: Models, Importances, and Significance at Scale' authors: - family-names: Fievet given-names: Ghislain email: ghislain.fievet@gmail.com orcid: https://orcid.org/0000-0002-0337-7327 - family-names: Broseus given-names: Julien - family-names: Meyre given-names: David - family-names: Hergalant given-names: Sebastien journal: bioRxiv year: '2025' doi: 10.64898/2025.12.06.692723 repository: https://bioc-release.r-universe.dev repository-code: https://github.com/GhislainFievet/XAItest commit: a7f2cb4dd33d58e8084261a0ab12f72d2298e581 url: https://github.com/GhislainFievet/XAItest date-released: '2026-04-28' contact: - family-names: FIEVET given-names: Ghislain email: ghislain.fievet@gmail.com orcid: https://orcid.org/0000-0002-0337-7327