Package: spheresmooth 0.1.3
Kwan-Young Bak
spheresmooth: Piecewise Geodesic Smoothing for Spherical Data
Fitting a smooth path to a given set of noisy spherical data observed at known time points. It implements a piecewise geodesic curve fitting method on the unit sphere based on a velocity-based penalization scheme. The proposed approach is implemented using the Riemannian block coordinate descent algorithm. To understand the method and algorithm, one can refer to Bak, K. Y., Shin, J. K., & Koo, J. Y. (2023) <doi:10.1080/02664763.2022.2054962> for the case of order 1. Additionally, this package includes various functions necessary for handling spherical data.
Authors:
spheresmooth_0.1.3.tar.gz
spheresmooth_0.1.3.tar.gz(r-4.5-noble)spheresmooth_0.1.3.tar.gz(r-4.4-noble)
spheresmooth_0.1.3.tgz(r-4.4-emscripten)spheresmooth_0.1.3.tgz(r-4.3-emscripten)
spheresmooth.pdf |spheresmooth.html✨
spheresmooth/json (API)
| # Install 'spheresmooth' in R: |
| install.packages('spheresmooth', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/kybak90/spheresmooth/issues
Pkgdown site:https://kybak90.github.io
- apw_spherical - A polar wander dataset
- goni_spherical - A tropical cyclone dataset
Last updated 20 days agofrom:1f509e0270. Checks:OK: 2. Indexed: no.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Dec 07 2024 |
| R-4.5-linux | OK | Dec 07 2024 |
Exports:calculate_losscartesian_to_sphericalcrossdotedpexp_mapgeodesicgeodesic_lowerknots_quantilenorm2normalizenormalize_lowerpenalized_linear_spherical_splinepiecewise_geodesicspherical_distspherical_to_cartesian
Dependencies:
