CRAN

optimus 0.2.0

Model Based Diagnostics for Multivariate Cluster Analysis

Released Jan 16, 2018 by Mitchell Lyons

This package can be loaded by Renjin but 3 out 5 tests failed. An older version of this package is more compatible with Renjin.

Dependencies

ordinal 2015.6-28 mvabund 3.12.3

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.

Installation

Maven

This package can be included as a dependency from a Java or Scala project by including the following your project's pom.xml file. Read more about embedding Renjin in JVM-based projects.

<dependencies>
  <dependency>
    <groupId>org.renjin.cran</groupId>
    <artifactId>optimus</artifactId>
    <version>0.2.0-b1</version>
  </dependency>
</dependencies>
<repositories>
  <repository>
    <id>bedatadriven</id>
    <name>bedatadriven public repo</name>
    <url>https://nexus.bedatadriven.com/content/groups/public/</url>
  </repository>
</repositories>

View build log

Renjin CLI

If you're using Renjin from the command line, you load this library by invoking:

library('org.renjin.cran:optimus')

Test Results

This package was last tested against Renjin 0.9.2584 on Jan 18, 2018.

Source

R

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Release History