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.
- https://CRAN.R-project.org/package=QuadratiK
- GitHub
- https://docs.ropensci.org/QuadratiK/
- File a bug report
- QuadratiK results
- QuadratiK.pdf
- Version1.1.3
- R versionR (≥ 3.5.0)
- LicenseGPL (≥ 3)
- Needs compilation?Yes
- Languageen-US
- QuadratiK citation info
- Last release02/04/2025
Documentation
Team
Giovanni Saraceno
MaintainerShow author detailsMojgan Golzy
Show author detailsRolesAuthorHingee Kassel
Show author detailsRolesReviewerRaktim Mukhopadhyay
Emi Tanaka
Show author detailsRolesReviewerMarianthi Markatou
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Dependencies
- Imports12 packages
- Suggests12 packages
- Linking To2 packages