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clevr: Clustering and Link Prediction Evaluation in R

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
DOI: 10.32614/CRAN.package.clevr
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

Documentation:

Reference manual: clevr.pdf

Downloads:

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

Linking:

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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.