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optimus
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]
[Scholar Profile | Author Map]
All associated links for this package
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 22 Dec. 2024.
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
Functions, R codes and Examples using
the optimus R package
Some associated functions: find_optimal . get_characteristic . merge_clusters . plot.aicsums . points.aicsums . swamps .
Some associated R codes: data.R . find_optimal-models.R . find_optimal.R . get_characteristic-models.R . get_characteristic.R . helloworld.R . merge_clusters-funs.R . merge_clusters.R . plot.aicsums.R . utils.R . Full optimus package functions and examples
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