optimus (0.2.0)

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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.

Maintainer: Mitchell Lyons
Author(s): Mitchell Lyons [aut, cre]

License: GPL-3

Uses: mvabund, ordinal, testthat, knitr, rmarkdown

Released 4 months ago.

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