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FuzzyQ: Fuzzy Quantification of Common and Rare Species

Fuzzy clustering of species in an ecological community as common or rare based on their abundance and occupancy. It also includes functions to compute confidence intervals of classification metrics and plot results. See Balbuena et al. (2020, <doi:10.1101/2020.08.12.247502>).

Version: 0.1.0
Depends: R (≥ 3.5.0)
Imports: cluster
Published: 2021-01-05
Author: Juan A. Balbuena ORCID iD [aut, cre, cph], Clara Monlleó-Borrull [aut, cph], Cristina Llopis-Belenguer ORCID iD [aut, cph], Isabel Blasco-Costa ORCID iD [aut, cph], Volodimir Saraveeb ORCID iD [aut, cph], Serge Morand ORCID iD [aut, cph]
Maintainer: Juan A. Balbuena <j.a.balbuena at uv.es>
License: GPL-3
URL: https://ligophorus.github.io/FuzzyQ/
NeedsCompilation: no
Materials: README
CRAN checks: FuzzyQ results

Documentation:

Reference manual: FuzzyQ.pdf

Downloads:

Package source: FuzzyQ_0.1.0.tar.gz
Windows binaries: r-devel: FuzzyQ_0.1.0.zip, r-release: FuzzyQ_0.1.0.zip, r-oldrel: FuzzyQ_0.1.0.zip
macOS binaries: r-release (arm64): FuzzyQ_0.1.0.tgz, r-oldrel (arm64): FuzzyQ_0.1.0.tgz, r-release (x86_64): FuzzyQ_0.1.0.tgz, r-oldrel (x86_64): FuzzyQ_0.1.0.tgz

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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