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: 2025-04-25 DOI: 10.32614/CRAN.package.proxyC Author: Kohei Watanabe [cre, aut, cph], Robrecht Cannoodt [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: Downloads: Reverse dependencies: Reverse imports: applicable, dynutils, immcp, LSX, quanteda.textstats, scClassify, scFeatures, scMerge, seededlda, SimBu, wordvector Reverse suggests: simona Linking:Please use the canonical form https://CRAN.R-project.org/package=proxyC to link to this page.
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