Package: FuzzyQ 0.1.0

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>).

Authors:Juan A. Balbuena [aut, cre, cph], Clara Monlleó-Borrull [aut, cph], Cristina Llopis-Belenguer [aut, cph], Isabel Blasco-Costa [aut, cph], Volodimir Saraveeb [aut, cph], Serge Morand [aut, cph]

FuzzyQ_0.1.0.tar.gz
FuzzyQ_0.1.0.zip(r-4.7)FuzzyQ_0.1.0.zip(r-4.6)FuzzyQ_0.1.0.zip(r-4.5)
FuzzyQ_0.1.0.tgz(r-4.6-any)FuzzyQ_0.1.0.tgz(r-4.5-any)
FuzzyQ_0.1.0.tar.gz(r-4.7-any)FuzzyQ_0.1.0.tar.gz(r-4.6-any)
FuzzyQ_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
FuzzyQ/json (API)

# Install 'FuzzyQ' in R:
install.packages('FuzzyQ', repos = c('https://ligophorus.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/ligophorus/fuzzyq/issues

Datasets:
  • antsA - Ant species abundance from Arnan et el.
  • Azov - Helminth communities of so-iuy mullets from the Sea of Azov
  • Japan - Helminth communities of so-iuy mullets from the Japan Sea

On CRAN:

Conda:

2.70 score 7 scripts 176 downloads 1 mentions 5 exports 1 dependencies

Last updated from:7bd4276506. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK108
source / vignettesOK131
linux-release-x86_64OK100
macos-release-arm64OK129
macos-oldrel-arm64OK186
windows-develOK105
windows-releaseOK62
windows-oldrelOK57
wasm-releaseOK120

Exports:AOplotfuzzyqfuzzyqBootfuzzyqCIsortClus

Dependencies:cluster