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pgKDEsphere

Parametrically Guided Kernel Density Estimator for Spherical Data

Nonparametric density estimation for (hyper)spherical data by means of a parametrically guided kernel estimator (Alonso-Pena et al. (2024) <doi:10.1111/sjos.12737>. 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.

Versions across snapshots

VersionRepositoryFileSize
1.0.2 rolling linux/jammy R-4.5 pgKDEsphere_1.0.2.tar.gz 76.9 KiB
1.0.2 rolling linux/noble R-4.5 pgKDEsphere_1.0.2.tar.gz 78.0 KiB
1.0.2 rolling source/ R- pgKDEsphere_1.0.2.tar.gz 7.6 KiB
1.0.2 latest linux/jammy R-4.5 pgKDEsphere_1.0.2.tar.gz 76.9 KiB
1.0.2 latest linux/noble R-4.5 pgKDEsphere_1.0.2.tar.gz 78.0 KiB
1.0.2 latest source/ R- pgKDEsphere_1.0.2.tar.gz 7.6 KiB
1.0.2 2026-04-26 source/ R- pgKDEsphere_1.0.2.tar.gz 7.6 KiB
1.0.2 2026-04-23 source/ R- pgKDEsphere_1.0.2.tar.gz 7.6 KiB
1.0.2 2026-04-09 windows/windows R-4.5 pgKDEsphere_1.0.2.zip 488.3 KiB
1.0.1 2025-04-20 source/ R- pgKDEsphere_1.0.1.tar.gz 7.7 KiB

Dependencies (latest)

Imports

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