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circularKDE  

Recent Methods for Kernel Density Estimation of Circular Data
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("circularKDE", "0.1.1")



Attach the package and use:
library("circularKDE")
Maintained by
Stanislav Zamecnik
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-01-07
Latest Update: 2026-01-07
Description:
Provides recent kernel density estimation methods for circular data, including adaptive and higher-order techniques. The implementation is based on recent advances in bandwidth selection and circular smoothing. Key methods include adaptive bandwidth selection methods by Zámečník et al. (2024) <doi:10.1007/s00180-023-01401-0>, complete cross-validation by Hasilová et al. (2024) <doi:10.59170/stattrans-2024-024>, Fourier-based plug-in rules by Tenreiro (2022) <doi:10.1080/10485252.2022.2057974>, and higher-order kernels by Tsuruta & Sagae (2017) <doi:10.1016/j.spl.2017.08.003>.
How to cite:
Stanislav Zamecnik (2026). circularKDE: Recent Methods for Kernel Density Estimation of Circular Data. R package version 0.1.1, https://cran.r-project.org/web/packages/circularKDE. Accessed 17 Jul. 2026.
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