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 DOI: 10.32614/CRAN.package.pgKDEsphere Author: MarÃa Alonso-Pena [aut, cre], Gerda Claeskens [aut], Irène Gijbels [aut] Maintainer: MarÃa Alonso-Pena <maria.alonsopena at ugr.es> License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] NeedsCompilation: yes CRAN checks: pgKDEsphere results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=pgKDEsphere to link to this page.
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