Computes Proximity in Large Sparse Matrices [R package proxyC version 0.5.2]

proxyC: Computes Proximity in Large Sparse Matrices

Computes proximity between rows or columns of large matrices efficiently in C++. Functions are optimised for large sparse matrices using the Armadillo and Intel TBB libraries. Among various built-in similarity/distance measures, computation of correlation, cosine similarity, Dice coefficient and Euclidean distance is particularly fast.

Version: 0.5.2

Depends: R (≥ 3.1.0), methods

Imports: Matrix (≥ 1.2), Rcpp (≥ 0.12.12)

LinkingTo: Rcpp, RcppArmadillo (≥ 0.7.600.1.0)

Suggests: testthat, entropy, proxy, knitr, rmarkdown

Published: 2025年04月25日

DOI: 10.32614/CRAN.package.proxyC

Author: Kohei Watanabe ORCID iD [cre, aut, cph], Robrecht Cannoodt ORCID iD [aut]

Maintainer: Kohei Watanabe <watanabe.kohei at gmail.com>

BugReports: https://github.com/koheiw/proxyC/issues

License: GPL-3

URL: https://github.com/koheiw/proxyC, https://koheiw.github.io/proxyC/

NeedsCompilation: yes

Materials: README, NEWS

CRAN checks: proxyC results

Documentation:

Reference manual: proxyC.html , proxyC.pdf

Downloads:

Package source: proxyC_0.5.2.tar.gz

Windows binaries: r-devel: proxyC_0.5.2.zip, r-release: proxyC_0.5.2.zip, r-oldrel: proxyC_0.5.2.zip

macOS binaries: r-release (arm64): proxyC_0.5.2.tgz, r-oldrel (arm64): proxyC_0.5.2.tgz, r-release (x86_64): proxyC_0.5.2.tgz, r-oldrel (x86_64): proxyC_0.5.2.tgz

Old sources: proxyC archive

Reverse dependencies:

Reverse imports: applicable, dynutils, GeDi, immcp, LSX, quanteda.textstats, scClassify, scMerge, seededlda, SimBu, wordvector

Reverse suggests: plotthis, simona

Linking:

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