optimus
Model Based Diagnostics for Multivariate Cluster Analysis
Assessment and diagnostics for comparing competing clustering solutions, using predictive models. The main intended use is for comparing clustering/classification solutions of ecological data (e.g. presence/absence, counts, ordinal scores) to 1) find an optimal partitioning solution, 2) identify characteristic species and 3) refine a classification by merging clusters that increase predictive performance. However, in a more general sense, this package can do the above for any set of clustering solutions for i observations of j variables.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.2.0 |
rolling linux/jammy R-4.5 | optimus_0.2.0.tar.gz |
114.5 KiB |
0.2.0 |
rolling linux/noble R-4.5 | optimus_0.2.0.tar.gz |
114.4 KiB |
0.2.0 |
rolling source/ R- | optimus_0.2.0.tar.gz |
61.5 KiB |
0.2.0 |
latest linux/jammy R-4.5 | optimus_0.2.0.tar.gz |
114.5 KiB |
0.2.0 |
latest linux/noble R-4.5 | optimus_0.2.0.tar.gz |
114.4 KiB |
0.2.0 |
latest source/ R- | optimus_0.2.0.tar.gz |
61.5 KiB |
0.2.0 |
2026-04-26 source/ R- | optimus_0.2.0.tar.gz |
61.5 KiB |
0.2.0 |
2026-04-23 source/ R- | optimus_0.2.0.tar.gz |
61.5 KiB |
0.2.0 |
2026-04-09 windows/windows R-4.5 | optimus_0.2.0.zip |
116.2 KiB |
0.2.0 |
2025-04-20 source/ R- | optimus_0.2.0.tar.gz |
61.5 KiB |