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optimus  

Model Based Diagnostics for Multivariate Cluster Analysis
View on CRAN: Click here


Download and install optimus package within the R console
Install from CRAN:
install.packages("optimus")

Install from Github:
library("remotes")
install_github("cran/optimus")

Install by package version:
library("remotes")
install_version("optimus", "0.2.0")



Attach the package and use:
library("optimus")
Maintained by
Mitchell Lyons
[Scholar Profile | Author Map]
First Published: 2017-03-24
Latest Update: 2018-01-16
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.
How to cite:
Mitchell Lyons (2017). optimus: Model Based Diagnostics for Multivariate Cluster Analysis. R package version 0.2.0, https://cran.r-project.org/web/packages/optimus. Accessed 17 Apr. 2025.
Previous versions and publish date:
0.1.0 (2017-03-24 14:26)
Other packages that cited optimus R package
View optimus citation profile
Other R packages that optimus depends, imports, suggests or enhances
Complete documentation for optimus
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