circularKDE
Recent Methods for Kernel Density Estimation of Circular Data
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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.1 |
2026-04-09 windows/windows R-4.5 | circularKDE_0.1.1.zip |
82.6 KiB |