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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 |
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 |
Reference manual: | proxyC.pdf |
Vignettes: |
Similarity and Distance Measures in proxyC |
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 depends: | seededlda |
Reverse imports: | applicable, dynutils, immcp, LSX, quanteda.textstats, scClassify, scFeatures, scMerge, SimBu, simplifyEnrichment |
Reverse suggests: | simona |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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