CRAN

mcclust 1.0

Process an MCMC Sample of Clusterings

Released Jul 23, 2012 by Arno Fritsch

Dependencies

lpSolve 5.6.13

Implements methods for processing a sample of (hard) clusterings, e.g. the MCMC output of a Bayesian clustering model. Among them are methods that find a single best clustering to represent the sample, which are based on the posterior similarity matrix or a relabelling algorithm.

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>mcclust</artifactId>
    <version>1.0-b252</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:mcclust')

Test Results

This package was last tested against Renjin 0.9.2687 on Aug 25, 2018.

• arandi-examples
• cltoSim-examples
• comp.psm-examples
• maxpear-examples
• mcclust-package-examples
• medv-examples
• minbinder-examples
• norm.label-examples
• relabel-examples
• vi.dist-examples

Source

View GitHub Mirror

Release History

• 1.0