Package: spheresmooth 0.1.0.9000

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:Seyoung Lee [aut], Kwan-Young Bak [aut, cre, cph]

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spheresmooth.pdf |spheresmooth.html
spheresmooth/json (API)

# Install 'spheresmooth' in R:
install.packages('spheresmooth', repos = c('https://kybak90.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/kybak90/spheresmooth/issues

Datasets:

On CRAN:

15 exports 0.83 score 0 dependencies 135 downloads

Last updated 5 months agofrom:034c48b2b6. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 16 2024
R-4.5-winOKSep 16 2024
R-4.5-linuxOKSep 16 2024
R-4.4-winOKSep 16 2024
R-4.4-macOKSep 16 2024
R-4.3-winOKSep 16 2024
R-4.3-macOKSep 16 2024

Exports:calculate_lossCartesian_to_Sphericalcrosscross_normalizeddotedpExpGeodesicknots_quantilenorm2Normalizepenalized_linear_spherical_splinepiecewise_geodesicspherical_distSpherical_to_Cartesian

Dependencies: