Clustering R package clustur version 0.1.4 A tool that implements the clustering algorithms from 'mothur' (Schloss PD et al. (2009) <doi:10.1128/AEM.01541-09>). 'clustur' make use of the cluster() and make.shared() command from 'mothur'. Our cluster() function has five different algorithms implemented: 'OptiClust', 'furthest', 'nearest', 'average', and 'weighted'. 'OptiClust' is an optimized clustering method for Operational Taxonomic Units, and you can learn more here, (Westcott SL, Schloss PD (2017) <doi:10.1128/mspheredirect.00073-17>). The make.shared() command is always applied at the end of the clustering command. This functionality allows us to generate and create clustering and abundance data efficiently. Software Depends: R (>= 3.5.0) Imports: Matrix, methods, Rcpp (>= 1.0.12), utils LinkingTo: Rcpp, testthat Suggests: knitr, rmarkdown, testthat (>= 3.0.0), xml2 Patrick Schloss <pschloss@umich.edu> Comprehensive R Archive Network (CRAN) Gregory Johnson [aut] (ORCID: <https://orcid.org/0009-0008-3890-0297>), Sarah Westcott [aut], Patrick Schloss [aut, cre, cph] (ORCID: <https://orcid.org/0000-0002-6935-4275>) GPL (>= 3) 2026-01-08 application/tgz https://CRAN.R-project.org/package=clustur doi:10.32614/CRAN.package.clustur