This is the development version of XAItest; for the stable release version, see XAItest.
XAItest: Enhancing Feature Discovery with eXplainable AIBioconductor version: Development (3.22)
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 a system that enables the comparison of feature importance with p-values by incorporating calibrated simulated data.
Author: Ghislain FIEVET [aut, cre] ORCID: 0000-0002-0337-7327 , Sébastien HERGALANT [aut] ORCID: 0000-0001-8456-7992
Maintainer: Ghislain FIEVET <ghislain.fievet at gmail.com>
Citation (from within R, entercitation("XAItest")): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("XAItest")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("XAItest")Follow Installation instructions to use this package in your R session.
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