[cre, aut, cph],
Robrecht Cannoodt
[aut]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: | 0.1.5 |
| Depends: | R (≥ 3.1.0), methods |
| Imports: | Matrix (≥ 1.2), Rcpp (≥ 0.12.12), RcppParallel |
| LinkingTo: | Rcpp, RcppParallel, RcppArmadillo (≥ 0.7.600.1.0) |
| Suggests: | testthat, proxy |
| Published: | 2019-07-21 |
| 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 |
| NeedsCompilation: | yes |
| SystemRequirements: | C++11 |
| Materials: | README NEWS |
| CRAN checks: | proxyC results |
| Reference manual: | proxyC.pdf |
| Package source: | proxyC_0.1.5.tar.gz |
| Windows binaries: | r-devel: proxyC_0.1.5.zip, r-release: proxyC_0.1.5.zip, r-oldrel: proxyC_0.1.5.zip |
| macOS binaries: | r-release: proxyC_0.1.5.tgz, r-oldrel: proxyC_0.1.5.tgz |
| Old sources: | proxyC archive |
| Reverse imports: | applicable, dynutils, immcp, quanteda, scClassify |
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