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 <pschloss@umich.edu>
Description: 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.
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
NeedsCompilation: yes
Packaged: 2026-01-07 20:47:46 UTC; grejoh
Author: 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>)
Repository: CRAN
Date/Publication: 2026-01-08 09:20:30 UTC
Built: R 4.6.0; x86_64-w64-mingw32; 2026-04-13 03:30:12 UTC; windows
Archs: x64
