Sparse Vector Field Consensus for Vector Field Learning
Overview
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.
- In the demo, changed the parameter name of
geom_segment()fromsizetolinewidthaccording to the newer guideline of theggplot2package. - Added
R >= 4.1.0requirement for the use of native pipe.
From NEWS.md in the release
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK14 OK2026-03-10
Documentation
- 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%
- demo HTML
Downloads
Repository
Stars over time
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.
Dependencies
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.
Code & Tests
Datasets
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- 0.1.2Latest
- RR 4.3.0 released · 2023-04-21
- 0.1.12023-02-15 · diff ↗
- 0.1.02022-05-27
- RR 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
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Run in R for the authors' preferred citation:
citation("SparseVFC")This package has no citation file, so citation() returns this entry built from DESCRIPTION.
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