pgKDEsphere: Parametrically Guided Kernel Density Estimator for Spherical
Data
Nonparametric density estimation for (hyper)spherical data by means of a parametrically guided kernel estimator (adaptation of the method of Hjort and Glad (1995) <doi:10.1214/aos/1176324627> to the spherical setting). 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: |
1.0.1 |
| Imports: |
Rcpp (≥ 1.0.11), rgl, Directional, DirStats, circular, matrixStats, rotasym, movMF |
| LinkingTo: |
Rcpp, RcppArmadillo |
| Published: |
2024-02-07 |
| Author: |
María Alonso-Pena [aut, cre],
Gerda Claeskens [aut],
Irène Gijbels [aut] |
| Maintainer: |
María Alonso-Pena <maria.alonsopena at ugr.es> |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: |
yes |
| CRAN checks: |
pgKDEsphere results |
Documentation:
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