Package: clustur Type: Package Title: Clustering Version: 0.1.4 Date: 2025-12-12 Authors@R: c( person("Gregory", "Johnson", , "grejoh@umich.edu", role = c("aut"), comment = c(ORCID = "0009-0008-3890-0297")), person("Sarah", "Westcott", , "swestcot@umich.edu", role = c("aut")), person("Patrick", "Schloss", , "pschloss@umich.edu", role = c("aut", "cre", "cph"), comment = c(ORCID = "0000-0002-6935-4275")) ) Maintainer: Patrick Schloss Description: A tool that implements the clustering algorithms from 'mothur' (Schloss PD et al. (2009) ). '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) ). 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. License: GPL (>= 3) Encoding: UTF-8 Imports: Matrix, methods, Rcpp (>= 1.0.12), utils Depends: R (>= 3.5.0) LinkingTo: Rcpp, testthat Suggests: knitr, rmarkdown, testthat (>= 3.0.0), xml2 Config/testthat/edition: 3 RoxygenNote: 7.3.2 VignetteBuilder: knitr URL: http://www.schlosslab.org/clustur/, https://github.com/SchlossLab/clustur BugReports: https://github.com/SchlossLab/clustur/issues Config/pak/sysreqs: cmake make libuv1-dev Repository: https://schlosslab.r-universe.dev Date/Publication: 2026-01-07 20:25:54 UTC RemoteUrl: https://github.com/schlosslab/clustur RemoteRef: HEAD RemoteSha: 5d646f88945a4dcdb105c0103d0b4c0a76370f78 NeedsCompilation: yes Packaged: 2026-07-03 06:48:49 UTC; root Author: Gregory Johnson [aut] (ORCID: ), Sarah Westcott [aut], Patrick Schloss [aut, cre, cph] (ORCID: )