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SparseVFC

0.1.2Package record

Sparse Vector Field Consensus for Vector Field Learning

1packages depend
3.4Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

The sparse vector field consensus (SparseVFC) algorithm (Ma et al., 2013 doi:10.1016/j.patcog.2013.05.017) for robust vector field learning. Largely translated from the Matlab functions in https://github.com/jiayi-ma/VFC.

Changes in 0.1.2
  • In the demo, changed the parameter name of geom_segment() from size to linewidth according to the newer guideline of the ggplot2 package.
  • Added R >= 4.1.0 requirement for the use of native pipe.

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 1.2 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 0.1.2
READMEYes · 95 wordsVignettesYes · 1 · dynamicNEWSYes · 100% structured · mentions 0.1.2Citation fileNoWebsitenot declared in DESCRIPTION
Help pages
4
Examples that run
100%2 run in a plain check
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
50%
Vignettes (1)

Downloads

3.4K
CRAN downloads in the past year
Rank #12,785 · ~9/day · ~285/mo
Daily download trend is not available in this view yet.
33430 days
88890 days
3.4K1 year
Compare downloads with other packages →
Also on104 r2u3 autocran

Repository

1Stars
0Forks
0Open issues
0Open PRs
0Releases
8Commits
1Commit identities
License file reads as GPL-3.0 · 8 commits · Last activity 2023-11-15
Responsiveness
not measured

Stars over time

2023-05-31 · 12026-07-07 · 1
PracticesBeta

4 development-tooling and community-health practices detected across 3 families in the upstream repository

Checks run against github.com/sciurus365/sparsevfc on 2026-10-22.

Docs source (1)
README.Rmd
CRAN release process (2)
cran-comments.mdCRAN-SUBMISSION
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies
7 external dependencies (excludes base and recommended)

Installing SparseVFC adds 8 packages (7 with compiled code, 3.1 MB of source tarballs). Heaviest: vctrs 1.0 MB, rlang 766 KB, cli 629 KB.

Depends (1)
R >= 4.1.0
Imports (2)
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
1direct
0indirect
Imports 1
Depends, Imports or LinkingTo, most downloaded first

Datasets

People & History

People (1)
Author, Maintainer since 0.1.0 (2022)
Releases (3)

Pick two releases to compare their code metrics.

  • 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
  • 0.1.2Latest
    record
    2023-11-09 · current release · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • 0.1.1
    record
    2023-02-15 · diff ↗
  • 0.1.0
    record
    2022-05-27
  • R
    R 4.2.0 released · 2022-04-22

Package metadata

First published
2022-05-27
Total releases
3 / 4 yrs
License
GPL (>= 3) OSI
Minimum R
≥ 4.1.0
Bundled data
1.5 MB / 1 file
Download size
1.5 MB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("SparseVFC")
Cui, J. (2023). SparseVFC: Sparse Vector Field Consensus for Vector Field Learning (Version 0.1.2) [Computer software]. https://doi.org/10.32614/CRAN.package.SparseVFC

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

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 SparseVFC version 0.1.2 [Data set]. HJJB, LLC. Data release v2026-10-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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