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 several built-in similarity/distance measures, computation of correlation, cosine similarity and Euclidean distance is particularly fast.

Version: 0.1.5
Depends: R (≥ 3.1.0), methods
Imports: Matrix (≥ 1.2), Rcpp (≥ 0.12.12), RcppParallel
LinkingTo: Rcpp, RcppParallel, RcppArmadillo (≥ 0.7.600.1.0)
Suggests: testthat, proxy
Published: 2019-07-21
Author: Kohei Watanabe ORCID iD [cre, aut, cph], Robrecht Cannoodt ORCID iD [aut]
Maintainer: Kohei Watanabe <watanabe.kohei at>
License: GPL-3
NeedsCompilation: yes
SystemRequirements: C++11
Materials: README NEWS
CRAN checks: proxyC results


Reference manual: proxyC.pdf
Package source: proxyC_0.1.5.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release: proxyC_0.1.5.tgz, r-oldrel: proxyC_0.1.5.tgz
Old sources: proxyC archive

Reverse dependencies:

Reverse imports: applicable, dynutils, immcp, quanteda, scClassify


Please use the canonical form to link to this page.