Fuzzy Quantification of Common and Rare Species
Overview
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).
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK14 OK2026-03-10
Documentation
- Help pages
- 8
- Examples that run
- 100%8 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 38%
Downloads
Repository
Forks over time
Releases over time
2 development-tooling and community-health practices detected across 2 families in the upstream repository
Checks run against github.com/ligophorus/fuzzyq on 2026-10-18.
GitHub Pages site last deployed 2021-05-31
Dependencies
Installing FuzzyQ adds no packages beyond those that come with R.
Code & Tests
Datasets
People & History
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- 0.1.0Latest2021-01-05 · current release
- RR 4.0.0 released · 2020-04-24
Package metadata
- First published
- 2021-01-05
- Total releases
- 1 / 5 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 3.5.0
- Bundled data
- 7.3 KB / 3 files
- Download size
- 27 KB
Cite
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