aricode: Efficient Computations of Standard Clustering Comparison Measures

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), adjusted mutual information (AMI), normalized variation information (NVI) and entropy, as described in Vinh et al (2009) <doi:10.1145/1553374.1553511>. Include AMI (Adjusted Mutual Information) since version 0.1.2, a modified version of ARI (MARI), as described in Sundqvist et al. <doi:10.1007/s00180-022-01230-7> and simple Chi-square distance since version 1.0.0.

Version: 1.0.3
Imports: Matrix, Rcpp
LinkingTo: Rcpp
Suggests: testthat, spelling
Published: 2023-10-20
DOI: 10.32614/CRAN.package.aricode
Author: Julien Chiquet ORCID iD [aut, cre], Guillem Rigaill [aut], Martina Sundqvist [aut], Valentin Dervieux [ctb], Florent Bersani [ctb]
Maintainer: Julien Chiquet <julien.chiquet at>
License: GPL (≥ 3)
NeedsCompilation: yes
Language: en-US
Materials: NEWS
CRAN checks: aricode results


Reference manual: aricode.pdf


Package source: aricode_1.0.3.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): aricode_1.0.3.tgz, r-oldrel (arm64): aricode_1.0.3.tgz, r-release (x86_64): aricode_1.0.3.tgz, r-oldrel (x86_64): aricode_1.0.3.tgz
Old sources: aricode archive

Reverse dependencies:

Reverse imports: Banksy, clustAnalytics, Dune, GREMLINS, ILoReg, l1spectral, pipeComp, SISIR, WormTensor
Reverse suggests: FisherEM, missSBM, sbm


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