Package: WeightedCluster
Version: 2.2
Date: 2026-03-18
Title: Clustering of Weighted Data and Robust Clustering
Authors@R: c(person("Matthias", "Studer", email = "matthias.studer@unige.ch", role = c("aut", "cre")), person("Leonard", "Roth", role = c("ctb")), person("Leonhard", "Unterlerchner", role = c("ctb")))
Author: Matthias Studer [aut, cre], Leonard Roth [ctb], Leonhard Unterlerchner [ctb]
Maintainer: Matthias Studer <matthias.studer@unige.ch>
Depends: R (>= 3.0.0), TraMineR (>= 2.0-6), cluster
Imports: utils, RColorBrewer, foreach, progressr, future, doFuture,
        nnet, fastcluster, vegclust, lme4, margins, clue, viridis
Suggests: RUnit, knitr, isotone, vegan, lattice, rmarkdown, Cairo,
        progress, DirichletReg, betareg, fpc
VignetteBuilder: knitr
Description: 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, crisp and noise CLARA algorithm to cluster large database with sequence analysis, and a methodological framework for Robustness Assessment of Regressions using Cluster Analysis Typologies.
License: GPL (>= 2)
URL: https://r-forge.r-project.org/R/?group_id=743
Repository: R-Forge
Repository/R-Forge/Project: traminer
Repository/R-Forge/Revision: 1547
Repository/R-Forge/DateTimeStamp: 2026-04-19 04:51:56
Date/Publication: 2026-04-19 04:51:56
NeedsCompilation: yes
Packaged: 2026-04-19 05:12:11 UTC; rforge
Built: R 4.5.2; x86_64-w64-mingw32; 2026-04-19 05:30:55 UTC; windows
Archs: x64
