Package: WeightedCluster
Version: 1.4
Date: 2019-03-21
Title: Clustering of Weighted Data
Authors@R: person("Matthias", "Studer", email = "matthias.studer@unige.ch", role = c("aut", "cre"))
Author: Matthias Studer [aut, cre]
Maintainer: Matthias Studer <matthias.studer@unige.ch>
Depends: R (>= 3.0.0), TraMineR (>= 2.0-6), cluster
Imports: utils, RColorBrewer
Suggests: RUnit, knitr, isotone, vegan, lattice
SystemRequirements: C++11
VignetteBuilder: knitr
Description: Clusters state sequences and weighted data. It provides an optimized weighted PAM algorithm as well as functions for aggregating replicated cases, computing cluster quality measures for a range of clustering solutions and plotting clusters of state sequences.
License: GPL (>= 2)
URL: http://mephisto.unige.ch/weightedcluster
NeedsCompilation: yes
Packaged: 2019-03-21 09:27:21 UTC; studerm
Repository: CRAN
Date/Publication: 2019-03-21 10:23:29 UTC
Built: R 3.5.2; x86_64-apple-darwin15.6.0; 2019-04-02 22:23:40 UTC; unix
Archs: WeightedCluster.so.dSYM
