| 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-class | An S4 class for kernel-based distance tests with normal kernel |
| 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-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 |
| 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 |