Package: pgKDEsphere Type: Package Title: Parametrically Guided Kernel Density Estimator for Spherical Data Version: 1.0.2 Date: 2025-10-28 Authors@R: c(person("María", "Alonso-Pena", role = c("aut", "cre"), email = "mariaalonso.pena@usc.es"), person("Gerda", "Claeskens", role = "aut"), person("Irène", "Gijbels", role = "aut")) Author: María Alonso-Pena [aut, cre], Gerda Claeskens [aut], Irène Gijbels [aut] Maintainer: María Alonso-Pena Description: Nonparametric density estimation for (hyper)spherical data by means of a parametrically guided kernel estimator (Alonso-Pena et al. (2024) . 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. License: GPL (>= 2) Imports: Rcpp (>= 1.0.11), rgl, Directional, DirStats, circular, matrixStats, rotasym, movMF LinkingTo: Rcpp, RcppArmadillo Encoding: UTF-8 RoxygenNote: 7.2.3 NeedsCompilation: yes Packaged: 2026-10-10 15:52:09 UTC; root Config/pak/sysreqs: libabsl-dev cmake libfreetype6-dev libgdal-dev gdal-bin libgeos-dev libglu1-mesa-dev make texlive libpng-dev libuv1-dev libgl1-mesa-dev libssl-dev libproj-dev libsqlite3-dev libudunits2-dev zlib1g-dev Repository: https://maria-alonsopena.r-universe.dev Date/Publication: 2025-10-28 21:20:02 UTC RemoteUrl: https://github.com/cran/pgKDEsphere RemoteRef: HEAD RemoteSha: fc5d703e38a9a59931ba657dfc922a5ddd2966df