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 Reverse dependencies: Reverse imports: poem Linking:Please use the canonical form https://CRAN.R-project.org/package=clevr to link to this page.
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