Package: circularKDE 0.1.1
Stanislav Zamecnik
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>.
Authors:
circularKDE_0.1.1.tar.gz
circularKDE_0.1.1.zip(r-4.7)circularKDE_0.1.1.zip(r-4.6)circularKDE_0.1.1.zip(r-4.5)
circularKDE_0.1.1.tgz(r-4.6-any)circularKDE_0.1.1.tgz(r-4.5-any)
circularKDE_0.1.1.tar.gz(r-4.7-any)circularKDE_0.1.1.tar.gz(r-4.6-any)
circularKDE_0.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
circularKDE/json (API)
| # Install 'circularKDE' in R: |
| install.packages('circularKDE', repos = c('https://stazam.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/stazam/circularkde/issues
circular-statisticsdensity-estimationkernel-methodsstatistics
Last updated from:fce768e681. Checks:7 NOTE, 2 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | NOTE | 125 | ||
| source / vignettes | OK | 151 | ||
| linux-release-x86_64 | NOTE | 108 | ||
| macos-release-arm64 | NOTE | 147 | ||
| macos-oldrel-arm64 | NOTE | 175 | ||
| windows-devel | NOTE | 72 | ||
| windows-release | NOTE | 73 | ||
| windows-oldrel | NOTE | 64 | ||
| wasm-release | OK | 90 |
Exports:adaptiveDensityCircularbwCcvbwFobwJfbwLscvgbwScvbwTs
