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QuadratiK: Collection of Methods Constructed using Kernel-Based Quadratic Distances
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>.
Getting started
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Package details |
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| Author | Giovanni Saraceno [aut, cre] (ORCID 000-0002-1753-2367), Marianthi Markatou [aut], Raktim Mukhopadhyay [aut], Mojgan Golzy [aut] |
| Maintainer | Giovanni Saraceno <gsaracen@buffalo.edu> |
| License | GPL (>= 3) |
| Version | 1.1.2 |
| URL | https://CRAN.R-project.org/package=QuadratiK https://github.com/giovsaraceno/QuadratiK-package https://giovsaraceno.github.io/QuadratiK-package/ |
| Package repository | View on CRAN |
| Installation |
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