Collection of Methods Constructed using Kernel-Based Quadratic Distances R package QuadratiK version 1.2.0 It includes test for multivariate normality, test for uniformity on the d-dimensional Sphere, non-parametric two- and k-sample tests, random generation of points from the Poisson kernel-based density and clustering algorithm for spherical data. For more information see Saraceno G., Markatou M., Mukhopadhyay R. and Golzy M. (2024) <doi:10.48550/arXiv.2402.02290> Markatou, M. and Saraceno, G. (2024) <doi:10.48550/arXiv.2407.16374>, Ding, Y., Markatou, M. and Saraceno, G. (2023) <doi:10.5705/ss.202022.0347>, and Golzy, M. and Markatou, M. (2020) <doi:10.1080/10618600.2020.1740713>. Software Depends: R (>= 3.5.0) Imports: parallel, doParallel, foreach, ggplot2, ggpubr, methods, moments, mvtnorm, Rcpp, RcppEigen, rlecuyer, sn, stats, rrcov, scatterplot3d LinkingTo: Rcpp, RcppEigen Suggests: knitr, rmarkdown, roxygen2, testthat (>= 3.0.0), rgl, sphunif, circular, cluster, clusterRepro, mclust, Tinflex, movMF Giovanni Saraceno <giovanni.saraceno@unipd.it> Comprehensive R Archive Network (CRAN) Giovanni Saraceno [aut, cre] (ORCID 000-0002-1753-2367), Marianthi Markatou [aut], Raktim Mukhopadhyay [aut], Mojgan Golzy [aut], Hingee Kassel [rev], Emi Tanaka [rev] GPL (>= 3) 2026-05-03 application/tgz https://CRAN.R-project.org/package=QuadratiK doi:10.32614/CRAN.package.QuadratiK en-US