ulrb: Unsupervised Learning Based Definition of Microbial RareBiosphere
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], Luís 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:
| Package source: | ulrb_0.1.8.tar.gz |
| Windows binaries: | r-devel:ulrb_0.1.8.zip, r-release:ulrb_0.1.8.zip, r-oldrel:ulrb_0.1.8.zip |
| macOS binaries: | r-release (arm64):ulrb_0.1.8.tgz, r-oldrel (arm64):ulrb_0.1.8.tgz, r-release (x86_64):ulrb_0.1.8.tgz, r-oldrel (x86_64):ulrb_0.1.8.tgz |
| Old sources: | ulrb archive |
Linking:
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