DESCRIPTION

Package: aricode
Type: Package
Title: Efficient Computations of Standard Clustering Comparison Measures
Version: 1.0.3
Authors@R: c(
    person("Julien", "Chiquet", role = c("aut", "cre"), email = "julien.chiquet@inrae.fr",
      comment = c(ORCID = "0000-0002-3629-3429")),
    person("Guillem", "Rigaill", role = "aut", email = "guillem.rigaill@inrae.fr"),
    person("Martina", "Sundqvist", role = "aut", email = "martina.sundqvist@agroparistech.fr"),
    person("Valentin", "Dervieux", role = "ctb", email = "valentin.dervieux@gmail.com"),
    person("Florent", "Bersani", role = "ctb", email = "florent@bersani.org")
  )
Maintainer: Julien Chiquet <julien.chiquet@inrae.fr>
Description: 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.
License: GPL (>=3)
URL: https://github.com/jchiquet/aricode
BugReports: https://github.com/jchiquet/aricode/issues
Encoding: UTF-8
Imports:
    Matrix,
    Rcpp
Suggests: 
    testthat,
    spelling
LinkingTo: Rcpp
RoxygenNote: 7.2.3
Language: en-US