CRAN

mmtfa 0.3

Model-Based Clustering and Classification with Mixtures of Modified t Factor Analyzers

Released Jun 15, 2018 by Jeffrey L. Andrews

This package can be loaded by Renjin but all tests failed.

Dependencies

Fits a family of mixtures of multivariate t-distributions under a continuous t-distributed latent variable structure for the purpose of clustering or classification. The alternating expectation-conditional maximization algorithm is used for parameter estimation.

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>mmtfa</artifactId>
    <version>0.3-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:mmtfa')

Test Results

This package was last tested against Renjin 0.9.2689 on Aug 26, 2018.

mmtfa-examples

Source

View GitHub Mirror