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-any)FuzzyQ_0.1.0.zip(r-4.6-any)FuzzyQ_0.1.0.zip(r-4.5-any)
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 302 downloads 1 mentions 5 exports 1 dependencies

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

TargetResultTimeFilesSyslog
linux-develOK88
source / vignettesOK133
linux-releaseOK93
macos-releaseOK88
macos-oldrelOK85
windows-develOK63
windows-releaseOK74
windows-oldrelOK58
wasm-releaseOK73

Exports:AOplotfuzzyqfuzzyqBootfuzzyqCIsortClus

Dependencies:cluster