SparseVFC: Sparse Vector Field Consensus for Vector Field Learning

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 <>.

Version: 0.1.2
Depends: R (≥ 4.1.0)
Imports: pdist, purrr
Suggests: ggplot2, dplyr, tibble, rmarkdown, grid, knitr
Published: 2023-11-09
DOI: 10.32614/CRAN.package.SparseVFC
Author: Jingmeng Cui ORCID iD [aut, cre]
Maintainer: Jingmeng Cui <jingmeng.cui at>
License: GPL (≥ 3)
NeedsCompilation: no
Materials: README NEWS
CRAN checks: SparseVFC results


Reference manual: SparseVFC.pdf
Vignettes: demo


Package source: SparseVFC_0.1.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): SparseVFC_0.1.2.tgz, r-oldrel (arm64): SparseVFC_0.1.2.tgz, r-release (x86_64): SparseVFC_0.1.2.tgz, r-oldrel (x86_64): SparseVFC_0.1.2.tgz
Old sources: SparseVFC archive

Reverse dependencies:

Reverse imports: fitlandr


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