Package: proxyC 0.4.1

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

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

proxyC_0.4.1.tar.gz
proxyC_0.4.1.tar.gz(r-4.5-noble)proxyC_0.4.1.tar.gz(r-4.4-noble)
proxyC_0.4.1.tgz(r-4.4-emscripten)proxyC_0.4.1.tgz(r-4.3-emscripten)
proxyC.pdf |proxyC.html✨
proxyC/json (API)
NEWS

# Install 'proxyC' in R:
install.packages('proxyC', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

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

Uses libs:
  • openblas– Optimized BLAS
  • onetbb– Parallelism library for C++
  • c++– GNU Standard C++ Library v3

openblasonetbbcpp

6.04 score 30 packages 23 scripts 5.2k downloads 6 exports 4 dependencies

Last updated 8 months agofrom:d2d0ec11ba. Checks:OK: 1 NOTE: 1. Indexed: no.

TargetResultDate
Doc / VignettesOKNov 25 2024
R-4.5-linux-x86_64NOTENov 25 2024

Exports:colSdscolZerosdistrowSdsrowZerossimil

Dependencies:latticeMatrixRcppRcppArmadillo

Similarity and Distance Measures in proxyC

Kohei Watanabe

Rendered frommeasures.Rmdusingknitr::rmarkdownon Nov 25 2024.

Last update: 2024-04-08
Started: 2022-10-06