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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: | 1.0.0 |
| Depends: | R (≥ 3.5.0) |
| Imports: | Rcpp, RcppEigen, sn, methods, stats, MASS, moments, mvtnorm, movMF, rlecuyer, foreach, doParallel, Tinflex, ggpp, ggplot2, rgl, clusterRepro, ggpubr, mclust, rrcov, cluster |
| LinkingTo: | Rcpp, RcppEigen |
| Suggests: | rmarkdown, testthat (≥ 3.0.0), roxygen2, knitr |
| Published: | 2024-02-23 |
| Author: | Giovanni Saraceno [aut, cre] (ORCID 000-0002-1753-2367), Marianthi Markatou [aut], Raktim Mukhopadhyay [aut], Mojgan Golzy [ctb] |
| Maintainer: | Giovanni Saraceno <gsaracen at buffalo.edu> |
| License: | GPL (≥ 3) |
| NeedsCompilation: | yes |
| Materials: | README |
| CRAN checks: | QuadratiK results |
| Reference manual: | QuadratiK.pdf |
| Vignettes: |
Non-parametric Two-sample test k-sample test Uniformity test on the Sphere Clustering algorithm on the Wireless data |
| Package source: | QuadratiK_1.0.0.tar.gz |
| Windows binaries: | r-devel: QuadratiK_1.0.0.zip, r-release: QuadratiK_1.0.0.zip, r-oldrel: QuadratiK_1.0.0.zip |
| macOS binaries: | r-release (arm64): QuadratiK_1.0.0.tgz, r-oldrel (arm64): QuadratiK_1.0.0.tgz, r-release (x86_64): QuadratiK_1.0.0.tgz, r-oldrel (x86_64): QuadratiK_1.0.0.tgz |
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