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Tools for evaluating link prediction and clustering algorithms with respect to ground truth. Includes efficient implementations of common performance measures such as pairwise precision/recall, cluster homogeneity/completeness, variation of information, Rand index etc.
| Version: | 0.1.2 |
| Depends: | R (≥ 3.0.2) |
| Imports: | Rcpp (≥ 1.0.5), stats, Matrix |
| LinkingTo: | Rcpp, BH (≥ 1.69.0) |
| Suggests: | testthat |
| Published: | 2023-09-16 |
| Author: | Neil Marchant [aut, cre], Rebecca Steorts [aut], Olivier Binette [ctb] |
| Maintainer: | Neil Marchant <ngmarchant at gmail.com> |
| BugReports: | https://github.com/cleanzr/clevr/issues |
| License: | GPL-2 |
| URL: | https://github.com/cleanzr/clevr |
| NeedsCompilation: | yes |
| Materials: | README NEWS |
| In views: | OfficialStatistics |
| CRAN checks: | clevr results |
| Reference manual: | clevr.pdf |
| Package source: | clevr_0.1.2.tar.gz |
| Windows binaries: | r-devel: clevr_0.1.2.zip, r-release: clevr_0.1.2.zip, r-oldrel: clevr_0.1.2.zip |
| macOS binaries: | r-release (arm64): clevr_0.1.2.tgz, r-oldrel (arm64): clevr_0.1.2.tgz, r-release (x86_64): clevr_0.1.2.tgz, r-oldrel (x86_64): clevr_0.1.2.tgz |
| Old sources: | clevr archive |
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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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