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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.
| Version: |
0.1.3 |
| Depends: |
R (≥ 3.5.0) |
| Suggests: |
sphereplot, rgl, ggplot2, rworldmap, sf |
| Published: |
2024-12-06 |
| DOI: |
10.32614/CRAN.package.spheresmooth |
| Author: |
Jae-Hwan Jhong 
[aut] (Chungbuk National University),
Ja-Yong Koo [aut] (Korea University),
Seyoung Lee [aut] (Sungshin Women's University),
Kwan-Young Bak
[aut, cre, cph] (Sungshin Women's University) |
| Maintainer: |
Kwan-Young Bak <kybak at sungshin.ac.kr> |
| BugReports: |
https://github.com/kybak90/spheresmooth/issues |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: |
https://kybak90.github.io/spheresmooth/,
https://github.com/kybak90/spheresmooth |
| NeedsCompilation: |
no |
| Materials: |
README |
| CRAN checks: |
spheresmooth results |
Documentation:
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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