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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 |
| Reference manual: | pgKDEsphere.pdf |
| Package source: | pgKDEsphere_1.0.1.tar.gz |
| Windows binaries: | r-devel: pgKDEsphere_1.0.1.zip, r-release: pgKDEsphere_1.0.1.zip, r-oldrel: pgKDEsphere_1.0.1.zip |
| macOS binaries: | r-release (arm64): pgKDEsphere_1.0.1.tgz, r-oldrel (arm64): pgKDEsphere_1.0.1.tgz, r-release (x86_64): pgKDEsphere_1.0.1.tgz, r-oldrel (x86_64): pgKDEsphere_1.0.1.tgz |
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