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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>.

Versions across snapshots

VersionRepositoryFileSize
1.1.3 rolling linux/jammy R-4.5 QuadratiK_1.1.3.tar.gz 1.1 MiB
1.1.3 rolling linux/noble R-4.5 QuadratiK_1.1.3.tar.gz 1.1 MiB
1.1.3 rolling source/ R- QuadratiK_1.1.3.tar.gz 483.1 KiB
1.1.3 latest linux/jammy R-4.5 QuadratiK_1.1.3.tar.gz 1.1 MiB
1.1.3 latest linux/noble R-4.5 QuadratiK_1.1.3.tar.gz 1.1 MiB
1.1.3 latest source/ R- QuadratiK_1.1.3.tar.gz 483.1 KiB
1.1.3 2026-04-26 source/ R- QuadratiK_1.1.3.tar.gz 483.1 KiB
1.1.3 2026-04-23 source/ R- QuadratiK_1.1.3.tar.gz 483.1 KiB
1.1.3 2026-04-09 windows/windows R-4.5 QuadratiK_1.1.3.zip 1.4 MiB
1.1.3 2025-04-20 source/ R- QuadratiK_1.1.3.tar.gz 483.1 KiB

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