clustur: Clustering
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: |
0.1.4 |
| 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: |
2026-01-08 |
| 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:
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