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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 |
DOI: | 10.32614/CRAN.package.FuzzyQ |
Author: | Juan A. Balbuena [aut, cre, cph], Clara MonlleĆ³-Borrull [aut, cph], Cristina Llopis-Belenguer [aut, cph], Isabel Blasco-Costa [aut, cph], Volodimir Saraveeb [aut, cph], Serge Morand [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 |
Reference manual: | FuzzyQ.pdf |
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 |
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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.