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.
- Version1.1.2
- R versionunknown
- LicenseGPL (≥ 3)
- Needs compilation?Yes
- Languageen-US
- QuadratiK citation info
- Last release10/29/2024
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Team
Giovanni Saraceno
Raktim Mukhopadhyay
Marianthi Markatou
Mojgan Golzy
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- Imports12 packages
- Suggests12 packages
- Linking To2 packages