| 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 |