# Collection of Methods Constructed using Kernel-Based Quadratic Distances

## 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