Efficient Computations of Standard Clustering Comparison Measures R package aricode version 1.1.0 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>. 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. Software Imports: Matrix, Rcpp, lifecycle LinkingTo: Rcpp Suggests: testthat, spelling, mclust, ggplot2, pkgdown Julien Chiquet <julien.chiquet@inrae.fr> Comprehensive R Archive Network (CRAN) Julien Chiquet [aut, cre] (ORCID: <https://orcid.org/0000-0002-3629-3429>), Guillem Rigaill [aut], Martina Sundqvist [aut], Valentin Dervieux [ctb], Florent Bersani [ctb] GPL (>= 3) 2026-05-13 application/tgz https://CRAN.R-project.org/package=aricode doi:10.32614/CRAN.package.aricode en-US