A tool to define the rare biosphere. 'ulrb' solves the problem of the definition of rarity by replacing arbitrary thresholds with an unsupervised machine learning algorithm (partitioning around medoids, or k-medoids). This algorithm works for any type of microbiome data, provided there is an abundance table. This method also works for non-microbiome data.
Version: 0.1.8 Depends: R (≥ 2.10) Imports: cluster, dplyr, ggplot2, purrr, rlang, stats, tidyr, clusterSim, gridExtra Suggests: knitr, rmarkdown, stringr, testthat (≥ 3.0.0), vegan Published: 2025-07-07 DOI: 10.32614/CRAN.package.ulrb Author: Francisco Pascoal [aut, cre], Paula Branco [aut], LuÃs Torgo [aut], Rodrigo Costa [aut], Catarina Magalhães [aut] Maintainer: Francisco Pascoal <fpascoal1996 at gmail.com> BugReports: https://github.com/pascoalf/ulrb/issues License: GPL (≥ 3) URL: https://pascoalf.github.io/ulrb/ NeedsCompilation: no Citation: ulrb citation info Materials: README CRAN checks: ulrb results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=ulrb to link to this page.
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