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:
FuzzyQ_0.1.0.tar.gz
FuzzyQ_0.1.0.zip(r-4.5)FuzzyQ_0.1.0.zip(r-4.4)FuzzyQ_0.1.0.zip(r-4.3)
FuzzyQ_0.1.0.tgz(r-4.4-any)FuzzyQ_0.1.0.tgz(r-4.3-any)
FuzzyQ_0.1.0.tar.gz(r-4.5-noble)FuzzyQ_0.1.0.tar.gz(r-4.4-noble)
FuzzyQ_0.1.0.tgz(r-4.4-emscripten)FuzzyQ_0.1.0.tgz(r-4.3-emscripten)
FuzzyQ.pdf |FuzzyQ.html✨
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
Last updated 3 years agofrom:7bd4276506. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 20 2024 |
R-4.5-win | OK | Nov 20 2024 |
R-4.5-linux | OK | Nov 20 2024 |
R-4.4-win | OK | Nov 20 2024 |
R-4.4-mac | OK | Nov 20 2024 |
R-4.3-win | OK | Nov 20 2024 |
R-4.3-mac | OK | Nov 20 2024 |
Exports:AOplotfuzzyqfuzzyqBootfuzzyqCIsortClus
Dependencies:cluster