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.
- Version1.0.1
- R versionunknown
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?Yes
- Last release02/07/2024
Team
María Alonso-Pena
Gerda Claeskens
Show author detailsRolesAuthorIrène Gijbels
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- Imports8 packages
- Linking To2 packages