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:	1.6-0
Depends:	R (≥ 3.0.0), TraMineR (≥ 2.0-6), cluster
Imports:	utils, RColorBrewer
Suggests:	RUnit, knitr, isotone, vegan, lattice
Published:	2021-10-05
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
SystemRequirements:	C++11
Citation:	WeightedCluster citation info
Materials:	NEWS
CRAN checks:	WeightedCluster results

Documentation:

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

Downloads:

Package source:	WeightedCluster_1.6-0.tar.gz
Windows binaries:	r-devel: WeightedCluster_1.6-0.zip, r-release: WeightedCluster_1.6-0.zip, r-oldrel: WeightedCluster_1.6-0.zip
macOS binaries:	r-release (arm64): WeightedCluster_1.6-0.tgz, r-oldrel (arm64): WeightedCluster_1.6-0.tgz, r-release (x86_64): WeightedCluster_1.6-0.tgz, r-oldrel (x86_64): WeightedCluster_1.6-0.tgz
Old sources:	WeightedCluster archive

Reverse dependencies:

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

Linking:

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