Collection of Methods Constructed using Kernel-Based Quadratic Distances
QQ-plot of given two samples using ggplot2
Compute the critical value for two-sample KBQD tests
Compute and display some descriptive statistics for the two sample tes...
Compute the critical value for the KBQD k-sample tests
Degrees of freedom (DOF) for the Normal kernel
Degrees of freedom (DOF) for the Poisson kernel
The Poisson kernel-based Distribution (PKBD)
Generate two samples data from skew-normal distributions
An S4 class for kernel-based distance tests with normal kernel
Kernel-based quadratic distance (KBQD) Goodness-of-Fit tests
Compute the critical value for the KBQD tests for multivariate Normali...
An S4 class for Poisson kernel-based quadratic distance tests.
Poisson kernel-based quadratic distance test of Uniformity on the sphe...
Validation of Poisson kernel-based clustering results
A S4 class for the clustering algorithm on the sphere based on Poisson...
Poisson kernel-based clustering on the sphere
Plotting method for Poisson kernel-based clustering
Compute the critical value for the Poisson KBQD tests for Uniformity
Cluster spherical observations using a mixture of Poisson kernel-based...
Collection of Methods Constructed using the Kernel-Based Quadratic Dis...
Generate random sample from the hypersphere
Select the value of the kernel tuning parameter
Descriptive statistics for the clusters identified by the Poisson kern...
Summarizing kernel-based quadratic distance results
Summarizing kernel-based quadratic distance results
Summarizing PKBD mixture Fits
Exact variance of k-sample test
Exact variance of normality test
Exact variance of two-sample test
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>.
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