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# CITATION file created with {cffr} R package
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cff-version: 1.2.0
message: 'To cite package "ConsRankClass" in publications use:'
type: software
license: GPL-3.0-only
title: 'ConsRankClass: Classification and Clustering of Preference Rankings'
version: 1.0.1
doi: 10.32614/CRAN.package.ConsRankClass
abstract: 'Tree-based classification and soft-clustering method for preference rankings,
  with tools for external validation of fuzzy clustering. It contains the recursive
  partitioning algorithm for preference rankings, non-parametric tree-based method
  for a matrix of preference rankings as a response variable. It contains also the
  distribution-free soft clustering method for preference rankings, namely the K-median
  cluster component analysis (CCA). The package depends on the ''ConsRank'' R package.
  Options for validate the tree-based method are both test-set procedure and V-fold
  cross validation. The package contains the routines to compute the adjusted concordance
  index (a fuzzy version of the adjusted rand index) and the normalized degree of
  concordance (the corresponding fuzzy version of the rand index). Essential references:
  D''Ambrosio, A., Amodio, S., Iorio, C., Pandolfo, G., and Siciliano, R. (2021) <https://doi.org/10.1007/s00357-020-09367-0>
  D''Ambrosio, A., and Heiser, W.J. (2019) <https://doi.org/10.1007/s41237-018-0069-5>;
  D''Ambrosio, A., and Heiser W.J. (2016) <https://doi.org/10.1007/s11336-016-9505-1>;
  Hullermeier, E., Rifqi, M., Henzgen, S., and Senge, R. (2012) <https://doi.org/10.1109/TFUZZ.2011.2179303>.'
authors:
- family-names: D'Ambrosio
  given-names: Antonio
  email: antdambr@unina.it
repository: https://antdambr.r-universe.dev
commit: 33f18bd53c9446c0b020042ff957798c93d1c138
url: https://www.r-project.org/
date-released: '2021-09-28'
contact:
- family-names: D'Ambrosio
  given-names: Antonio
  email: antdambr@unina.it