WeightedCluster: Clustering of Weighted Data

The WeightedCluster library provides functions to cluster states sequences and weighted data. These functionalities include aggregating replicated cases, an optimized weighted PAM algorithm, function computing cluster quality measures for a range of clustering solutions and miscellaneous functions to plot clustering solutions of state sequences.

Version: 1.2
Depends: R (≥ 3.0.0), TraMineR (≥ 1.8-8), cluster
Imports: utils, RColorBrewer
Suggests: RUnit, knitr, isotone, vegan, lattice
Published: 2014-01-19
Author: Matthias Studer [aut, cre]
Maintainer: Matthias Studer <matthias.studer at unige.ch>
BugReports: NA
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: http://mephisto.unige.ch/weightedcluster
NeedsCompilation: yes
Citation: WeightedCluster citation info
Materials: NEWS
CRAN checks: WeightedCluster results


Reference manual: WeightedCluster.pdf
Vignettes: WeightedCluster Library Manual: A practical guide to creating typologies of trajectories in the social sciences with R
Le manuel de la librairie WeightedCluster: un guide pratique pour la creation de typologies de trajectoires en sciences sociales avec R
WeightedCluster Preview
Package source: WeightedCluster_1.2.tar.gz
Windows binaries: r-devel: WeightedCluster_1.2.zip, r-release: WeightedCluster_1.2.zip, r-oldrel: WeightedCluster_1.2.zip
OS X Mavericks binaries: r-release: WeightedCluster_1.2.tgz, r-oldrel: WeightedCluster_1.2.tgz
Old sources: WeightedCluster archive

Reverse dependencies:

Reverse depends: ClusterStability
Reverse imports: MortHump
Reverse suggests: GDAtools