CRAN

MixAll 1.4.2

Clustering and Classification using Model-Based Mixture Models

Released Apr 8, 2018 by Serge Iovleff

This package can be loaded by Renjin but there was an error compiling C/FORTRAN sources and 20 out 64 tests failed.

Dependencies

Algorithms and methods for model-based clustering and classification. It supports various types of data: continuous, categorical and counting and can handle mixed data of these types. It can fit Gaussian (with diagonal covariance structure), gamma, categorical and Poisson models. The algorithms also support missing values. This package can be used as an independent alternative to the (not free) 'mixtcomp' software available at .

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>MixAll</artifactId>
    <version>1.4.2-b4</version>
  </dependency>
</dependencies>
<repositories>
  <repository>
    <id>bedatadriven</id>
    <name>bedatadriven public repo</name>
    <url>https://nexus.bedatadriven.com/content/groups/public/</url>
  </repository>
</repositories>

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Renjin CLI

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

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

Test Results

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

Source

C++

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