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 gmail.com>
BugReports: https://github.com/koheiw/proxyC/issues
License: GPL-3
NeedsCompilation: yes
SystemRequirements: C++11
Materials: README NEWS
CRAN checks: proxyC results

Downloads:

Reference manual: proxyC.pdf
Package source: proxyC_0.1.5.tar.gz
Windows binaries: r-devel: proxyC_0.1.5.zip, r-devel-gcc8: proxyC_0.1.5.zip, r-release: proxyC_0.1.5.zip, r-oldrel: proxyC_0.1.5.zip
OS X binaries: r-release: proxyC_0.1.5.tgz, r-oldrel: proxyC_0.1.5.tgz
Old sources: proxyC archive

Reverse dependencies:

Reverse imports: dynutils, quanteda

Linking:

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