RTCC
Detecting Trait Clustering in Environmental Gradients
The Randomized Trait Community Clustering method (Triado-Margarit et al., 2019, <doi:10.1038/s41396-019-0454-4>) is a statistical approach which allows to determine whether if an observed trait clustering pattern is related to an increasing environmental constrain. The method 1) determines whether exists or not a trait clustering on the sampled communities and 2) assess if the observed clustering signal is related or not to an increasing environmental constrain along an environmental gradient. Also, when the effect of the environmental gradient is not linear, allows to determine consistent thresholds on the community assembly based on trait-values.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.1 |
rolling linux/jammy R-4.5 | RTCC_0.1.1.tar.gz |
112.9 KiB |
0.1.1 |
rolling linux/noble R-4.5 | RTCC_0.1.1.tar.gz |
113.5 KiB |
0.1.1 |
rolling source/ R- | RTCC_0.1.1.tar.gz |
54.2 KiB |
0.1.1 |
latest linux/jammy R-4.5 | RTCC_0.1.1.tar.gz |
112.9 KiB |
0.1.1 |
latest linux/noble R-4.5 | RTCC_0.1.1.tar.gz |
113.5 KiB |
0.1.1 |
latest source/ R- | RTCC_0.1.1.tar.gz |
54.2 KiB |
0.1.1 |
2026-04-26 source/ R- | RTCC_0.1.1.tar.gz |
54.2 KiB |
0.1.1 |
2026-04-23 source/ R- | RTCC_0.1.1.tar.gz |
54.2 KiB |
0.1.1 |
2026-04-09 windows/windows R-4.5 | RTCC_0.1.1.zip |
436.1 KiB |
0.1.1 |
2025-04-20 source/ R- | RTCC_0.1.1.tar.gz |
54.2 KiB |