CRAN: Package SparseVFC

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年05月01日7>) for robust vector field learning. Largely translated from the Matlab functions in <https://github.com/jiayi-ma/VFC>.

Version: 0.1.2

Depends: R (≥ 4.1.0)

Imports: pdist, purrr

Suggests: ggplot2, dplyr, tibble, rmarkdown, grid, knitr

Published: 2023年11月09日

DOI: 10.32614/CRAN.package.SparseVFC

Author: Jingmeng Cui ORCID iD [aut, cre]

Maintainer: Jingmeng Cui <jingmeng.cui at outlook.com>

BugReports: https://github.com/Sciurus365/SparseVFC/issues

License: GPL (≥ 3)

URL: https://github.com/Sciurus365/SparseVFC

NeedsCompilation: no

Materials: README, NEWS

CRAN checks: SparseVFC results

Documentation:

Reference manual: SparseVFC.html , SparseVFC.pdf

Vignettes: demo (source, R code)

Downloads:

Package source: SparseVFC_0.1.2.tar.gz

Windows binaries: r-devel: SparseVFC_0.1.2.zip, r-release: SparseVFC_0.1.2.zip, r-oldrel: SparseVFC_0.1.2.zip

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

Linking:

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