Package: Rankcluster
Type: Package
Title: Model-Based Clustering for Multivariate Partial Ranking Data
Version: 0.94
Date: 2016-07-21
Author: Quentin Grimonprez, Julien Jacques
Maintainer: Quentin Grimonprez <quentin.grimonprez@inria.fr>
Description: Implementation of a model-based clustering algorithm for
    ranking data. 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 2012-2016
Depends: R (>= 2.10), methods
Imports: Rcpp
LinkingTo: Rcpp, RcppEigen
RoxygenNote: 5.0.1
Repository: CRAN
Repository/R-Forge/Project: rankclust
Repository/R-Forge/Revision: 57
Repository/R-Forge/DateTimeStamp: 2016-07-21 13:51:40
Date/Publication: 2016-07-29 00:55:17
NeedsCompilation: yes
Packaged: 2016-07-21 14:06:39 UTC; rforge
Built: R 3.4.4; x86_64-w64-mingw32; 2019-04-25 20:52:47 UTC; windows
Archs: i386, x64
