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:	0.4.1
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:	2024-04-07
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
NeedsCompilation:	yes
Materials:	README NEWS
CRAN checks:	proxyC results

Documentation:

Reference manual:	proxyC.pdf
Vignettes:	Similarity and Distance Measures in proxyC

Downloads:

Package source:	proxyC_0.4.1.tar.gz
Windows binaries:	r-devel: proxyC_0.4.1.zip, r-release: proxyC_0.4.1.zip, r-oldrel: proxyC_0.4.1.zip
macOS binaries:	r-release (arm64): proxyC_0.4.1.tgz, r-oldrel (arm64): proxyC_0.4.1.tgz, r-release (x86_64): proxyC_0.4.1.tgz, r-oldrel (x86_64): proxyC_0.4.1.tgz
Old sources:	proxyC archive

Reverse dependencies:

Reverse depends:	seededlda
Reverse imports:	applicable, dynutils, immcp, LSX, quanteda.textstats, scClassify, scFeatures, scMerge, SimBu
Reverse suggests:	simona

Linking:

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