R: Collection of Methods Constructed using Kernel-Based Quadratic Distances

# Collection of Methods Constructed using Kernel-Based Quadratic Distances

## Documentation for package ‘QuadratiK’ version 1.2.0

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Package NEWS.

## Help Pages

QuadratiK-package | Collection of Methods Constructed using the Kernel-Based Quadratic Distances
breast_cancer | Breast Cancer Wisconsin (Diagnostic)
dpkb | The Poisson kernel-based Distribution (PKBD)
kb.test | Kernel-based quadratic distance (KBQD) Goodness-of-Fit tests
kb.test-method | Kernel-based quadratic distance (KBQD) Goodness-of-Fit tests
pk.test | Poisson kernel-based quadratic distance test of Uniformity on the sphere
pk.test-method | Poisson kernel-based quadratic distance test of Uniformity on the sphere
pkbc | Poisson kernel-based clustering on the sphere
pkbc-method | Poisson kernel-based clustering on the sphere
pkbc_validation | Validation of Poisson kernel-based clustering results
plot-method | Plotting method for Poisson kernel-based clustering
plot.pkbc | Plotting method for Poisson kernel-based clustering
predict-method | Cluster spherical observations using a mixture of Poisson kernel-based densities
predict.pkbc | Cluster spherical observations using a mixture of Poisson kernel-based densities
QuadratiK | Collection of Methods Constructed using the Kernel-Based Quadratic Distances
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 (KBQD) Goodness-of-Fit tests
show-method | Poisson kernel-based quadratic distance test of Uniformity on the sphere
show-method | Poisson kernel-based clustering on the sphere
stats_clusters | Descriptive statistics for the clusters identified by the Poisson kernel-based clustering.
stats_clusters-method | Descriptive statistics for the clusters identified by the Poisson kernel-based clustering.
summary-method | Summarizing kernel-based quadratic distance results
summary-method | Summarizing kernel-based quadratic distance results
summary-method | Summarizing PKBD mixture Fits
summary.kb.test | Summarizing kernel-based quadratic distance results
summary.pk.test | Summarizing kernel-based quadratic distance results
summary.pkbc | Summarizing PKBD mixture Fits
wine | Wine data set
wireless | Wireless Indoor Localization