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>.
Version: 1.1.3 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 Published: 2025-02-04 DOI: 10.32614/CRAN.package.QuadratiK Author: Giovanni Saraceno [aut, cre] (ORCID 000-0002-1753-2367), Marianthi Markatou [aut], Raktim Mukhopadhyay [aut], Mojgan Golzy [aut], Hingee Kassel [rev], Emi Tanaka [rev] Maintainer: Giovanni Saraceno <giovanni.saraceno at unipd.it> BugReports: https://github.com/ropensci/QuadratiK/issues License: GPL (≥ 3) URL: https://CRAN.R-project.org/package=QuadratiK, https://github.com/ropensci/QuadratiK/, https://docs.ropensci.org/QuadratiK/ NeedsCompilation: yes Language: en-US Citation: QuadratiK citation info Materials: README NEWS CRAN checks: QuadratiK results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=QuadratiK to link to this page.
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