Package: spheresmooth 0.1.3

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:Jae-Hwan Jhong [aut], Ja-Yong Koo [aut], Seyoung Lee [aut], Kwan-Young Bak [aut, cre, cph]

spheresmooth_0.1.3.tar.gz
spheresmooth_0.1.3.zip(r-4.7-any)spheresmooth_0.1.3.zip(r-4.6-any)spheresmooth_0.1.3.zip(r-4.5-any)
spheresmooth_0.1.3.tgz(r-4.6-any)spheresmooth_0.1.3.tgz(r-4.5-any)
spheresmooth_0.1.3.tar.gz(r-4.7-any)spheresmooth_0.1.3.tar.gz(r-4.6-any)
spheresmooth_0.1.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
spheresmooth/json (API)

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

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

Pkgdown/docs site:https://kybak90.github.io

Datasets:

On CRAN:

Conda:

2.70 score 8 scripts 190 downloads 16 exports 0 dependencies

Last updated from:bf7c39b79c. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK140
source / vignettesOK176
linux-releaseOK122
macos-releaseOK174
macos-oldrelOK128
windows-develOK71
windows-releaseOK75
windows-oldrelOK119
wasm-releaseOK131

Exports:calculate_losscartesian_to_sphericalcrossdotedpexp_mapgeodesicgeodesic_lowerknots_quantilenorm2normalizenormalize_lowerpenalized_linear_spherical_splinepiecewise_geodesicspherical_distspherical_to_cartesian

Dependencies: