Package index • QuadratiK

All functions

QuadratiK QuadratiK-package: Collection of Methods Constructed using the Kernel-Based Quadratic Distances

breast_cancer: Breast Cancer Wisconsin (Diagnostic)

dpkb() rpkb(): The Poisson kernel-based Distribution (PKBD)

kb.test-class: An S4 class for kernel-based distance tests with normal kernel

kb.test() show(<kb.test>): Kernel-based quadratic distance (KBQD) Goodness-of-Fit tests

pk.test-class: An S4 class for Poisson kernel-based quadratic distance tests.

pk.test() show(<pk.test>): Poisson kernel-based quadratic distance test of Uniformity on the sphere

pkbc-class: A S4 class for the clustering algorithm on the sphere based on Poisson kernel-based distributions.

pkbc() show(<pkbc>): Poisson kernel-based clustering on the sphere

pkbc_validation(): Validation of Poisson kernel-based clustering results

plot(<pkbc>,<ANY>): Plotting method for Poisson kernel-based clustering

predict(<pkbc>): Cluster spherical observations using a mixture of Poisson kernel-based densities

sample_hypersphere(): Generate random sample from the hypersphere

select_h(): Select the value of the kernel tuning parameter

stats_clusters(): Descriptive statistics for the clusters identified by the Poisson kernel-based clustering.

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