Package: proxyC 0.5.2

Kohei Watanabe

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.tar.gz(r-4.7-arm64)proxyC_0.5.2.tar.gz(r-4.7-x86_64)proxyC_0.5.2.tar.gz(r-4.6-arm64)proxyC_0.5.2.tar.gz(r-4.6-x86_64)
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://cran.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:

Conda:

openblasonetbbcpp

6.30 score 35 packages 40 scripts 9.5k downloads 9 exports 4 dependencies

Last updated from:a8bbdf2709. Checks:4 NOTE, 2 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64NOTE172
linux-devel-x86_64NOTE177
source / vignettesOK248
linux-release-arm64NOTE179
linux-release-x86_64NOTE187
wasm-releaseOK140

Exports:colSdscolZeroscrossproddistmaskrowSdsrowZerossimiltcrossprod

Dependencies:latticeMatrixRcppRcppArmadillo

Similarity and Distance Measures in proxyC

Kohei Watanabe

Rendered frommeasures.Rmdusingknitr::rmarkdownon May 31 2026.

Last update: 2025-04-22
Started: 2022-10-06