gawdis
Multi-Trait Dissimilarity with more Uniform Contributions
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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.5 |
rolling source/ R- | gawdis_0.1.5.tar.gz |
72.7 KiB |
0.1.5 |
rolling linux/jammy R-4.5 | gawdis_0.1.5.tar.gz |
101.7 KiB |
0.1.5 |
latest source/ R- | gawdis_0.1.5.tar.gz |
72.7 KiB |
0.1.5 |
latest linux/jammy R-4.5 | gawdis_0.1.5.tar.gz |
101.7 KiB |
0.1.5 |
2026-04-23 source/ R- | gawdis_0.1.5.tar.gz |
72.7 KiB |
0.1.5 |
2026-04-09 windows/windows R-4.5 | gawdis_0.1.5.zip |
104.1 KiB |
0.1.5 |
2025-04-20 source/ R- | gawdis_0.1.5.tar.gz |
72.7 KiB |