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✨
DESCRIPTION
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 204 downloads 1 mentions 5 exports 1 dependencies

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

TargetResultTimeFilesSyslog
linux-devel-x86_64OK92
source / vignettesOK153
linux-release-x86_64OK134
macos-release-arm64OK131
macos-oldrel-arm64OK124
windows-develOK66
windows-releaseOK78
windows-oldrelOK64
wasm-releaseOK92

Exports:AOplotfuzzyqfuzzyqBootfuzzyqCIsortClus

Dependencies:cluster