QuadratiK: Collection of Methods Constructed using Kernel-Based Quadratic Distances

It includes test for multivariate normality, test for uniformity on the 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., Golzy, M. (2024) <doi:10.48550/arXiv.2402.02290>, Ding, Y., Markatou, M., Saraceno, G. (2023) <doi:10.5705/ss.202022.0347>, and Golzy, M., Markatou, M. (2020) <doi:10.1080/10618600.2020.1740713>.

Version: 1.1.0
Depends: R (≥ 3.5.0)
Imports: cluster, clusterRepro, doParallel, foreach, ggplot2, ggpp, ggpubr, mclust, methods, moments, movMF, mvtnorm, Rcpp, RcppEigen, rgl, rlecuyer, rrcov, sn, stats, Tinflex
LinkingTo: Rcpp, RcppEigen
Suggests: knitr, rmarkdown, roxygen2, testthat (≥ 3.0.0)
Published: 2024-05-14
Author: Giovanni Saraceno [aut, cre] (ORCID 000-0002-1753-2367), Marianthi Markatou [aut], Raktim Mukhopadhyay [aut], Mojgan Golzy [aut]
Maintainer: Giovanni Saraceno <gsaracen at buffalo.edu>
BugReports: https://github.com/giovsaraceno/QuadratiK-package/issues
License: GPL (≥ 3)
URL: https://cran.r-project.org/package=QuadratiK, https://github.com/giovsaraceno/QuadratiK-package, https://giovsaraceno.github.io/QuadratiK-package/
NeedsCompilation: yes
Materials: README
CRAN checks: QuadratiK results


Reference manual: QuadratiK.pdf
Vignettes: Non-parametric Two-sample test
Random sampling from the Poisson kernel-based density
k-sample test
Uniformity test on the Sphere
Clustering algorithm on the Wireless data


Package source: QuadratiK_1.1.0.tar.gz
Windows binaries: r-devel: QuadratiK_1.1.0.zip, r-release: QuadratiK_1.1.0.zip, r-oldrel: QuadratiK_1.1.0.zip
macOS binaries: r-release (arm64): QuadratiK_1.1.0.tgz, r-oldrel (arm64): QuadratiK_1.1.0.tgz, r-release (x86_64): QuadratiK_1.1.0.tgz, r-oldrel (x86_64): QuadratiK_1.1.0.tgz
Old sources: QuadratiK archive


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