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pgKDEsphere  

Parametrically Guided Kernel Density Estimator for Spherical Data
View on CRAN: Click here


Download and install pgKDEsphere package within the R console
Install from CRAN:
install.packages("pgKDEsphere")

Install from Github:
library("remotes")
install_github("cran/pgKDEsphere")

Install by package version:
library("remotes")
install_version("pgKDEsphere", "1.0.1")



Attach the package and use:
library("pgKDEsphere")
Maintained by
María Alonso-Pena
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-02-07
Latest Update: 2024-02-07
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) 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.
How to cite:
María Alonso-Pena (2024). pgKDEsphere: Parametrically Guided Kernel Density Estimator for Spherical Data. R package version 1.0.1, https://cran.r-project.org/web/packages/pgKDEsphere. Accessed 22 Dec. 2024.
Previous versions and publish date:
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Complete documentation for pgKDEsphere
Functions, R codes and Examples using the pgKDEsphere R package
Some associated functions: pgKDEsphere-internal . pi.kappa . sphkde.pg . sphkde.plot . 
Some associated R codes: RcppExports.R . internal.R . pi.kappa.R . sphkde.pg.R . sphkde.plot.R .  Full pgKDEsphere package functions and examples
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