Fair Interpolated Transport for Group-Fair Clustering R package FITclust version 1.0.0 Implementation of Fair Interpolated Transport (FIT), an algorithm-agnostic preprocessing framework for group-fair clustering. Group-conditional empirical distributions are moved along Wasserstein-2 geodesics toward a shared barycenter at a tunable transport intensity, and the smallest intensity meeting a soft-fairness tolerance is selected. Three soft clustering families are provided, centroid based, graph based, and model based. Software Depends: R (>= 3.5.0) Imports: stats, transport, Matrix, mvtnorm Suggests: ggplot2, knitr, rmarkdown, devtools, spelling, Jesse S. Ghashti <jesse.ghashti@ubc.ca> Comprehensive R Archive Network (CRAN) Jesse S. Ghashti [aut, cre], Warren Hare [aut], John R.J. Thompson [aut] GPL-2 2026-08-21 application/tgz https://CRAN.R-project.org/package=FITclust doi:10.32614/CRAN.package.FITclust en-US