Package: proxyC 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.

Authors:Kohei Watanabe [cre, aut, cph], Robrecht Cannoodt [aut]

proxyC_0.5.2.tar.gz
proxyC_0.5.2.zip(r-4.7)proxyC_0.5.2.zip(r-4.6)proxyC_0.5.2.zip(r-4.5)
proxyC_0.5.2.tgz(r-4.6-x86_64)proxyC_0.5.2.tgz(r-4.6-arm64)proxyC_0.5.2.tgz(r-4.5-x86_64)proxyC_0.5.2.tgz(r-4.5-arm64)
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proxyC_0.5.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
proxyC/json (API)
NEWS

# Install 'proxyC' in R:

install.packages('proxyC', repos = c('https://koheiw.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/koheiw/proxyc/issues

Pkgdown/docs site:https://koheiw.github.io

Uses libs:

openblas– Optimized BLAS
onetbb– Parallelism library for C++
c++– GNU Standard C++ Library v3

On CRAN:

data-science distance-measures similarity-measures openblas onetbb cpp

9.08 score 29 stars 35 packages 41 scripts 9.5k downloads 9 exports 4 dependencies

Last updated from:4a3cbad920. Checks:13 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	OK	189
linux-devel-x86_64	OK	181
source / vignettes	OK	242
linux-release-arm64	OK	166
linux-release-x86_64	OK	182
macos-release-arm64	OK	109
macos-release-x86_64	OK	387
macos-oldrel-arm64	OK	146
macos-oldrel-x86_64	OK	263
windows-devel	OK	186
windows-release	OK	230
windows-oldrel	OK	155
wasm-release	OK	131

Exports:colSds colZeros crossprod dist mask rowSds rowZeros simil tcrossprod

Dependencies:lattice Matrix Rcpp RcppArmadillo

Similarity and Distance Measures in proxyC

Kohei Watanabe

Rendered frommeasures.Rmdusingknitr::rmarkdownon May 22 2026.

Last update: 2024-10-15
Started: 2022-10-05

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Standard deviation of columns and rows of large matrices	colSds rowSds
Number of zeros in columns and rows of large matrices	colZeros rowZeros
Cross-product of large sparse matrices	crossprod tcrossprod
Create a pattern matrix for masking	mask
Compute similarity/distance between rows or columns of large matrices	dist simil