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, sequence analysis typology validation using parametric bootstraps and plotting (fuzzy) clusters of state sequences. It further provides a fuzzy and crisp CLARA algorithm to cluster large database with sequence analysis, and a methodological framework for Robustness Assessment of Regressions using Cluster Analysis Typologies (RARCAT).

Version:	2.0
Depends:	R (≥ 3.0.0), TraMineR (≥ 2.0-6), cluster
Imports:	utils, RColorBrewer, foreach, progressr, future, doFuture, nnet, fastcluster, vegclust, lme4, margins
Suggests:	RUnit, knitr, isotone, vegan, lattice, rmarkdown, Cairo, progress, DirichletReg, betareg, fpc
Published:	2025-12-10
DOI:	10.32614/CRAN.package.WeightedCluster
Author:	Matthias Studer [aut, cre], Leonard Roth [ctb]
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

Documentation:

Reference manual:

WeightedCluster.html , WeightedCluster.pdf

Vignettes:

Short R Tutorial: Sequence Analysis Typologies for Large Databases (source, R code) Short R Tutorial: Validating Sequence Analysis Typologies To be Used in Subsequent Regression (source, R code) Short R Tutorial: Validating Sequence Analysis Typologies Using Parametric Bootstrap (source, R code) Short R Tutorial: Fuzzy and Property-Based Clustering for Sequence Analysis (source, R code) R Tutorials: Robustness Assessment of Regressions using Cluster Analysis Typologies (source, R code) WeightedCluster Library Manual: A practical guide to creating typologies of trajectories in the social sciences with R (source, R code) Le manuel de la librairie WeightedCluster: un guide pratique pour la creation de typologies de trajectoires en sciences sociales avec R (source, R code) WeightedCluster Preview (source, R code)

Downloads:

Package source:	WeightedCluster_2.0.tar.gz
Windows binaries:	r-devel: WeightedCluster_2.0.zip, r-release: WeightedCluster_2.0.zip, r-oldrel: WeightedCluster_2.0.zip
macOS binaries:	r-release (arm64): WeightedCluster_2.0.tgz, r-oldrel (arm64): WeightedCluster_2.0.tgz, r-release (x86_64): WeightedCluster_2.0.tgz, r-oldrel (x86_64): WeightedCluster_2.0.tgz
Old sources:	WeightedCluster archive

Reverse dependencies:

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

Linking:

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