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: 0.1.0
Depends: R (≥ 2.10)
Suggests: rgl, sphereplot
Published: 2024-04-18
DOI: 10.32614/CRAN.package.spheresmooth
Author: Seyoung Lee [aut] (Sungshin Women's University), Kwan-Young Bak ORCID iD [aut, cre, cph] (Sungshin Women's University)
Maintainer: Kwan-Young Bak <kybak at sungshin.ac.kr>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Materials: README
CRAN checks: spheresmooth results


Reference manual: spheresmooth.pdf


Package source: spheresmooth_0.1.0.tar.gz
Windows binaries: r-devel: spheresmooth_0.1.0.zip, r-release: spheresmooth_0.1.0.zip, r-oldrel: spheresmooth_0.1.0.zip
macOS binaries: r-release (arm64): spheresmooth_0.1.0.tgz, r-oldrel (arm64): spheresmooth_0.1.0.tgz, r-release (x86_64): spheresmooth_0.1.0.tgz, r-oldrel (x86_64): spheresmooth_0.1.0.tgz


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