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)
- https://CRAN.R-project.org/package=QuadratiK
- GitHub
- https://giovsaraceno.github.io/QuadratiK-package/
- File a bug report
- QuadratiK results
- QuadratiK.pdf
- Version1.1.2
- R version≥ 3.5.0
- LicenseGPL (≥ 3)
- Needs compilation?Yes
- Languageen-US
- QuadratiK citation info
- Last release10/29/2024
Documentation
- VignetteIntroduction to the QuadratiK Package
- Vignettesource
- VignetteR code
- VignetteNon-parametric Two-sample test
- Vignettesource
- VignetteR code
- VignetteRandom sampling from the Poisson kernel-based density
- Vignettesource
- VignetteR code
- Vignettek-sample test
- Vignettesource
- VignetteR code
- VignetteUniformity test on the Sphere
- Vignettesource
- VignetteR code
- VignetteClustering algorithm on the Wireless data
- Vignettesource
- VignetteR code
- MaterialREADME
- MaterialNEWS
Team
Giovanni Saraceno
Marianthi Markatou
Show author detailsRolesAuthorRaktim Mukhopadhyay
Show author detailsRolesAuthorMojgan Golzy
Show author detailsRolesAuthor
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- Depends1 package
- Imports15 packages
- Suggests12 packages
- Linking To2 packages