gawdis
0.1.5Multi-Trait Dissimilarity with more Uniform Contributions
Overview
R function gawdis() produces multi-trait dissimilarity with more uniform contributions of different traits. de Bello et al. (2021) doi:10.1111/2041-210X.13537 presented the approach based on minimizing the differences in the correlation between the dissimilarity of each trait, or groups of traits, and the multi-trait dissimilarity. This is done using either an analytic or a numerical solution, both available in the function.
Install
Health
- OK2026-04-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-04-0913 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- not tracked
- Return-value docs
- not tracked
- References docs
- 50%
Downloads
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1 development-tooling and community-health practice detected across 1 family in the upstream repository
Checks run against github.com/pavel-fibich/gawdis on 2026-07-26.
Dependencies
Code & Tests
People & History
5 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- 0.1.5Latest
- RR 4.3.0 released · 2023-04-21
- 0.1.42023-04-13 · diff ↗
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- 0.1.32021-05-12 · diff ↗
- 0.1.22020-12-17 · diff ↗
- 0.1.02020-11-05
- RR 4.0.0 released · 2020-04-24
Package metadata
- First published
- 2020-11-05
- Total releases
- 5 / 6 yrs
- License
- GPL-2 | GPL-3 OSI
- Download size
- 74 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet