Clustering of Weighted Data R package WeightedCluster version 2.0 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). Software 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 Matthias Studer <matthias.studer@unige.ch> Comprehensive R Archive Network (CRAN) Matthias Studer [aut, cre], Leonard Roth [ctb] GPL (>= 2) 2025-12-10 application/tgz https://CRAN.R-project.org/package=WeightedCluster doi:10.32614/CRAN.package.WeightedCluster