Information-Theoretic Measures for Revealing Variable Interactions R package infoxtr version 0.2 Implements information-theoretic measures to explore variable interactions, including KSG mutual information estimation for continuous variables from Kraskov et al. (2004) <doi:10.1103/PhysRevE.69.066138>, knockoff conditional mutual information described in Zhang & Chen (2025) <doi:10.1126/sciadv.adu6464>, synergistic-unique-redundant decomposition introduced by Martinez-Sanchez et al. (2024) <doi:10.1038/s41467-024-53373-4>, allowing detection of complex and diverse relationships among variables. Software Depends: R (>= 4.1.0) Imports: methods, sdsfun, sf, terra LinkingTo: Rcpp, RcppThread Suggests: knitr, Rcpp, RcppThread, readr, rmarkdown, spEDM, tEDM Wenbo Lyu <lyu.geosocial@gmail.com> Comprehensive R Archive Network (CRAN) Wenbo Lyu [aut, cre, cph] (ORCID: <https://orcid.org/0009-0002-6003-3800>) GPL-3 2026-03-30 application/tgz https://CRAN.R-project.org/package=infoxtr doi:10.32614/CRAN.package.infoxtr