pgKDEsphere: Parametrically Guided Kernel Density Estimator for SphericalData
Nonparametric density estimation for (hyper)spherical data by means of a parametrically guided kernel estimator (Alonso-Pena et al. (2024) <doi:10.1111/sjos.12737>. The package also allows the data-driven selection of the smoothing parameter and the representation of the estimated density for circular and spherical data. Estimators of the density without guide can also be obtained.
| Version: | 1.0.2 |
| Imports: | Rcpp (≥ 1.0.11),rgl,Directional,DirStats,circular,matrixStats,rotasym,movMF |
| LinkingTo: | Rcpp,RcppArmadillo |
| Published: | 2025-10-28 |
| DOI: | 10.32614/CRAN.package.pgKDEsphere |
| Author: | María Alonso-Pena [aut, cre], Gerda Claeskens [aut], Irène Gijbels [aut] |
| Maintainer: | María Alonso-Pena <mariaalonso.pena at usc.es> |
| License: | GPL-2 |GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | yes |
| CRAN checks: | pgKDEsphere results |
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