Package: Rankcluster
Type: Package
Title: Model-Based Clustering for Multivariate Partial Ranking Data
Version: 0.98.0
Date: 2022-11-11
Authors@R: c(person("Quentin", "Grimonprez", role = c("aut", "cre"), email = "quentingrim@yahoo.fr"),
             person("Julien", "Jacques", role = "aut", email = "julien.jacques@univ-lyon2.fr"),
             person("Christophe", "Biernacki", role = "aut", email = "christophe.biernacki@inria.fr"))
Description: Implementation of a model-based clustering algorithm for
        ranking data (C. Biernacki, J. Jacques (2013)
        <doi:10.1016/j.csda.2012.08.008>). Multivariate rankings as
        well as partial rankings are taken into account. This algorithm
        is based on an extension of the Insertion Sorting Rank (ISR)
        model for ranking data, which is a meaningful and effective
        model parametrized by a position parameter (the modal ranking,
        quoted by mu) and a dispersion parameter (quoted by pi). The
        heterogeneity of the rank population is modelled by a mixture
        of ISR, whereas conditional independence assumption is
        considered for multivariate rankings.
License: GPL (>= 2)
Copyright: Inria - Université de Lille
BugReports: https://github.com/modal-inria/Rankcluster/issues/
Depends: R (>= 2.10)
Imports: Rcpp, methods
LinkingTo: Rcpp, RcppEigen
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr
Encoding: UTF-8
RoxygenNote: 7.2.1
Repository: https://modal-inria.r-universe.dev
Date/Publication: 2022-11-18 17:07:18 UTC
RemoteUrl: https://github.com/modal-inria/rankcluster
RemoteRef: HEAD
RemoteSha: ef9344d9c994d9a3bfe8eeb4f64744928b2b6286
NeedsCompilation: yes
Packaged: 2026-05-31 08:03:36 UTC; root
Author: Quentin Grimonprez [aut, cre],
  Julien Jacques [aut],
  Christophe Biernacki [aut]
Maintainer: Quentin Grimonprez <quentingrim@yahoo.fr>