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
NeedsCompilation: no
Packaged: 2018-01-16 22:18:22 UTC; Mitch
Author: Mitchell Lyons [aut, cre]
Repository: CRAN
Date/Publication: 2018-01-16 22:32:40 UTC
Built: R 4.6.0; ; 2026-04-27 19:03:15 UTC; unix
