Package: proxyC
Type: Package
Title: Computes Proximity in Large Sparse Matrices
Version: 0.5.2
Authors@R: c(
    person("Kohei", "Watanabe", email = "watanabe.kohei@gmail.com", role = c("cre", "aut", "cph"), 
           comment = c(ORCID = "0000-0001-6519-5265")),
    person("Robrecht", "Cannoodt", email = "rcannood@gmail.com", role = c("aut"),
           comment = c(ORCID = "0000-0003-3641-729X"))
    )
Description: 
    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.
URL: https://github.com/koheiw/proxyC, https://koheiw.github.io/proxyC/
BugReports: https://github.com/koheiw/proxyC/issues
License: GPL-3
Depends: R (>= 3.1.0), methods
Imports: Matrix (>= 1.2), Rcpp (>= 0.12.12)
Suggests: testthat, entropy, proxy, knitr, rmarkdown
LinkingTo: Rcpp, RcppArmadillo (>= 0.7.600.1.0)
NeedsCompilation: yes
Encoding: UTF-8
RoxygenNote: 7.3.2
VignetteBuilder: knitr
Config/Needs/website: coop, Rfast, parallelDist, distances, proxy,
        microbenchmark, ggplot2
Packaged: 2025-04-25 10:25:52 UTC; watan
Author: Kohei Watanabe [cre, aut, cph]
    (<https://orcid.org/0000-0001-6519-5265>),
  Robrecht Cannoodt [aut] (<https://orcid.org/0000-0003-3641-729X>)
Maintainer: Kohei Watanabe <watanabe.kohei@gmail.com>
Repository: CRAN
Date/Publication: 2025-04-25 12:40:06 UTC
Built: R 4.6.0; aarch64-apple-darwin23; 2026-04-25 23:41:13 UTC; unix
Archs: proxyC.so.dSYM
