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.
| Version: | 0.5.2 |
| 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: | 2025-04-25 |
| DOI: | 10.32614/CRAN.package.proxyC |
| Author: | Kohei Watanabe [cre, aut, cph], Robrecht Cannoodt [aut] |
| Maintainer: | Kohei Watanabe <watanabe.kohei at gmail.com> |
| BugReports: | https://github.com/koheiw/proxyC/issues |
| License: | GPL-3 |
| URL: | https://github.com/koheiw/proxyC,https://koheiw.github.io/proxyC/ |
| NeedsCompilation: | yes |
| Materials: | README,NEWS |
| CRAN checks: | proxyC results |
Documentation:
Downloads:
Reverse dependencies:
| Reverse imports: | applicable,dynutils,GeDi,LSX,quanteda.textstats,scClassify,scMerge,seededlda,SimBu,wordvector |
| Reverse suggests: | plotthis,simona |
Linking:
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