WeightedCluster: Clustering of Weighted Data

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 (fuzzy) clusters of state sequences. Parametric bootstraps methods to validate typology of sequences are also provided.

Version: 1.6-4
Depends: R (≥ 3.0.0), TraMineR (≥ 2.0-6), cluster
Imports: utils, RColorBrewer, foreach, progressr, future, doFuture, nnet
Suggests: RUnit, knitr, isotone, vegan, lattice, progress
Published: 2023-07-07
DOI: 10.32614/CRAN.package.WeightedCluster
Author: Matthias Studer [aut, cre]
Maintainer: Matthias Studer <matthias.studer at unige.ch>
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_1.6-4.tar.gz
Windows binaries: r-devel: WeightedCluster_1.6-4.zip, r-release: WeightedCluster_1.6-4.zip, r-oldrel: WeightedCluster_1.6-4.zip
macOS binaries: r-release (arm64): WeightedCluster_1.6-4.tgz, r-oldrel (arm64): WeightedCluster_1.6-4.tgz, r-release (x86_64): WeightedCluster_1.6-4.tgz, r-oldrel (x86_64): WeightedCluster_1.6-4.tgz
Old sources: WeightedCluster archive

Reverse dependencies:

Reverse depends: ClusterStability
Reverse imports: dTBM, MEDseq
Reverse suggests: seqhandbook, TraMineR


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