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GeodRegr

0.2.0

Geodesic Regression

0packages depend
2.3Kdownloads / year
test coverage
0/13checks pass

Overview

About
Maintained by Ha-Young ShinFirst published 2020-08-242 releasesCRAN page ↗GitHub ↗

Provides a gradient descent algorithm to find a geodesic relationship between real-valued independent variables and a manifold-valued dependent variable (i.e. geodesic regression). Available manifolds are Euclidean space, the sphere, hyperbolic space, and Kendall's 2-dimensional shape space. Besides the standard least-squares loss, the least absolute deviations, Huber, and Tukey biweight loss functions can also be used to perform robust geodesic regression. Functions to help choose appropriate cutoff parameters to maintain high efficiency for the Huber and Tukey biweight estimators are included, as are functions for generating random tangent vectors from the Riemannian normal distributions on the sphere and hyperbolic space. The n-sphere is a n-dimensional manifold: we represent it as a sphere of radius 1 and center 0 embedded in (n+1)-dimensional space. Using the hyperboloid model of hyperbolic space, n-dimensional hyperbolic space is embedded in (n+1)-dimensional Minkowski space as the upper sheet of a hyperboloid of two sheets. Kendall's 2D shape space with K landmarks is of real dimension 2K-4; preshapes are represented as complex K-vectors with mean 0 and magnitude 1. Details are described in Shin, H.-Y. and Oh, H.-S. (2020) arXiv:2007.04518. Also see Fletcher, P. T. (2013) doi:10.1007/s11263-012-0591-y.

Install

Health

CRAN checks
13NOTE
Failing flavors
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Slowest check: 1.2 min · r-release-macos-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
3
Dependencies · direct
Check history
  • NOTE2026-03-10
    0 OK · 14 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
100%
References docs
75%

Downloads

2.3K
CRAN downloads in the past year
Rank #19,922 · ~6/day · ~193/mo
Daily download trend is not available in this view yet.
14730 days
57490 days
2.3K1 year
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Repository

Repository
1Stars
0Forks
0Open issues
0Open PRs
0Releases
4Commits
1Contributors
4 commits · Last activity 2021-08-28 · 0% stars, 30d

Stars over time

2026-01-05 · 12026-07-07 · 1

Repository practices

Upstream repositoryBeta

1 development-tooling and community-health practice detected across 1 family in the upstream repository

Checks run against github.com/hayoungshin1/geodregr on 2026-08-23.

Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
1 external dependency (excludes base and recommended)
Depends (1)
R >= 4.0.0
Imports (3)
MASSzipfRstats
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (2)
Maintainer (1)
Author, Maintainer
Authors (2)
Author, Maintainer
Package Timeline

2 releases. Pick two to compare their code metrics. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • 0.2.0Latest
    2021-09-03 · current release · diff ↗
  • R
    R 4.1.0 released · 2021-05-18
  • 0.1.0
    2020-08-24
  • R
    R 4.0.0 released · 2020-04-24

Package metadata

First published
2020-08-24
Total releases
2 / 6 yrs
License
GPL-3 OSI
Minimum R
≥ 4.0.0
Bundled data
19 KB / 1 file
Download size
41 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("GeodRegr")
Shin, H., & Oh, H. (2021). GeodRegr: Geodesic Regression (Version 0.2.0) [Computer software]. https://doi.org/10.32614/CRAN.package.GeodRegr

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for GeodRegr version 0.2.0 [Data set]. HJJB, LLC. Data release v2026-08-26. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-26, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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