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.
Version: 0.1.3 Depends: R (≥ 3.5.0) Imports: Matrix, methods, Rcpp (≥ 1.0.12), utils LinkingTo: Rcpp, testthat Suggests: knitr, rmarkdown, testthat (≥ 3.0.0), xml2 Published: 2025-04-21 DOI: 10.32614/CRAN.package.clustur Author: Gregory Johnson [aut], Sarah Westcott [aut], Patrick Schloss [aut, cre, cph] Maintainer: Patrick Schloss <pschloss at umich.edu> BugReports: https://github.com/SchlossLab/clustur/issues License: GPL (≥ 3) URL: http://www.schlosslab.org/clustur/, https://github.com/SchlossLab/clustur NeedsCompilation: yes Materials: README NEWS CRAN checks: clustur results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=clustur to link to this page.
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