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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

VersionRepositoryFileSize
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

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