Collection of Methods Constructed using Kernel-Based Quadratic Distances

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Documentation for package ‘QuadratiK’ version 1.0.0

• DESCRIPTION file.
• User guides, package vignettes and other documentation.

Help Pages

QuadratiK-package	Collection of methods constructed using kernel-based quadratic distances
dpkb	The Poisson kernel-based Distribution (PKBD)
kb.test	Kernel-based quadratic distance Goodness-of-Fit tests
kb.test-class	An S4 class for kernel-based distance tests with normal kernel
kb.test-method	Kernel-based quadratic distance Goodness-of-Fit tests
pk.test	Poisson kernel-based quadratic distance test of Uniformity on the sphere
pk.test-class	An S4 class for Poisson kernel-based quadratic distance tests.
pk.test-method	Poisson kernel-based quadratic distance test of Uniformity on the sphere
pkbc	Poisson kernel-based clustering on the sphere
pkbc-class	A S4 class for the clustering algorithm on the sphere based on Poisson kernel-based distributions.
pkbc-method	Poisson kernel-based clustering on the sphere
rpkb	The Poisson kernel-based Distribution (PKBD)
sample_hypersphere	Generate random sample from the hypersphere
select_h	Select the value of the kernel tuning parameter
show-method	Kernel-based quadratic distance Goodness-of-Fit tests
show-method	Poisson kernel-based quadratic distance test of Uniformity on the sphere
summary-method	Summarizing kernel-based quadratic distance results
summary-method	Summarizing kernel-based quadratic distance results
summary_stat	Descriptive statistics for Poisson kernel-based clustering results.
validation	Validation of Poisson kernel-based clustering results
wireless	Wireless Indoor Localization