Package: optimus
Type: Package
Title: Model Based Diagnostics for Multivariate Cluster Analysis
Version: 0.2.0
Date: 2018-01-16
Authors@R: person("Mitchell", "Lyons", 
                  email = "mitchell.lyons@gmail.com",
                  role = c("aut", "cre"))
Maintainer: Mitchell Lyons <mitchell.lyons@gmail.com>
Description: 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.
Imports: stats, methods, mvabund (>= 3.1), ordinal (>= 2015.1-21)
Depends: R (>= 3.1.0)
URL: https://github.com/mitchest/optimus/
BugReports: https://github.com/mitchest/optimus/issues
License: GPL-3
LazyData: TRUE
RoxygenNote: 6.0.1
Suggests: testthat, knitr, rmarkdown
VignetteBuilder: knitr
Repository: https://mitchest.r-universe.dev
Date/Publication: 2018-06-20 02:01:00 UTC
RemoteUrl: https://github.com/mitchest/optimus
RemoteRef: HEAD
RemoteSha: 8caa20da60c92578acfaf2f835fe528935e75a1d
NeedsCompilation: no
Packaged: 2026-06-22 09:21:32 UTC; root
Author: Mitchell Lyons [aut, cre]