[aut, cre],
Guillem Rigaill [aut],
Valentin Dervieux [ctb]Implements an efficient O(n) algorithm based on bucket-sorting for fast computation of standard clustering comparison measures. Available measures include adjusted Rand index (ARI), normalized information distance (NID), normalized mutual information (NMI), normalized variation information (NVI) and entropy, as described in Vinh et al (2009) <doi:10.1145/1553374.1553511>.
| Version: | 0.1.1 |
| Imports: | Matrix, Rcpp |
| LinkingTo: | Rcpp |
| Suggests: | testthat |
| Published: | 2018-05-02 |
| Author: | Julien Chiquet [aut, cre],
Guillem Rigaill [aut],
Valentin Dervieux [ctb] |
| Maintainer: | Julien Chiquet <julien.chiquet at inra.fr> |
| BugReports: | https://github.com/jchiquet/aricode/issues |
| License: | GPL (≥ 3) |
| URL: | https://github.com/jchiquet/aricode (dev version) |
| NeedsCompilation: | yes |
| Materials: | NEWS |
| CRAN checks: | aricode results |
| Reference manual: | aricode.pdf |
| Package source: | aricode_0.1.1.tar.gz |
| Windows binaries: | r-devel: aricode_0.1.1.zip, r-release: aricode_0.1.1.zip, r-oldrel: aricode_0.1.1.zip |
| OS X binaries: | r-release: aricode_0.1.1.tgz, r-oldrel: aricode_0.1.1.tgz |
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