Package: pgKDEsphere
Type: Package
Title: Parametrically Guided Kernel Density Estimator for Spherical
        Data
Version: 1.0.1
Date: 2024-02-06
Authors@R: c(person("María", "Alonso-Pena", role = c("aut", "cre"),
                     email = "maria.alonsopena@ugr.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 <maria.alonsopena@ugr.es>
Description: 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.
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: 2024-02-06 14:07:55 UTC; Despacho 7
Repository: CRAN
Date/Publication: 2024-02-07 17:50:07 UTC
Built: R 4.3.1; aarch64-apple-darwin20; 2024-02-07 20:39:31 UTC; unix
Archs: pgKDEsphere.so.dSYM
