microSTASIS: Microbiota STability ASsessment via Iterative cluStering

The toolkit 'µSTASIS' has been developed for the stability analysis of microbiota in a temporal framework by leveraging on iterative clustering. Concretely, the core function uses Hartigan-Wong k-means algorithm as many times as possible for stressing out paired samples from the same individuals to test if they remain together for multiple numbers of clusters over a whole data set of individuals. Moreover, the package includes multiple functions to subset samples from paired times, validate the results or visualize the output.

Version: 0.1.0
Depends: R (≥ 2.10)
Imports: crayon, fmsb, future, future.apply, ggplot2, ggside, progressr, reshape2, stats, stringr
Published: 2021-09-14
Author: Pedro Sánchez-Sánchez ORCID iD [aut, cre], Alfonso Benítez-Páez ORCID iD [aut]
Maintainer: Pedro Sánchez-Sánchez <bio.pedro.technology at gmail.com>
License: GPL (≥ 3)
NeedsCompilation: no
CRAN checks: microSTASIS results


Reference manual: microSTASIS.pdf


Package source: microSTASIS_0.1.0.tar.gz
Windows binaries: r-devel: microSTASIS_0.1.0.zip, r-release: microSTASIS_0.1.0.zip, r-oldrel: microSTASIS_0.1.0.zip
macOS binaries: r-release (arm64): microSTASIS_0.1.0.tgz, r-oldrel (arm64): microSTASIS_0.1.0.tgz, r-release (x86_64): microSTASIS_0.1.0.tgz, r-oldrel (x86_64): microSTASIS_0.1.0.tgz


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