CRAN

deal 1.2-39

Learning Bayesian Networks with Mixed Variables

Released Oct 20, 2018 by Claus Dethlefsen

Bayesian networks with continuous and/or discrete variables can be learned and compared from data. The method is described in Boettcher and Dethlefsen (2003), .

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>deal</artifactId>
    <version>1.2-39-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:deal')

Test Results

This package was last tested against Renjin 0.9.2692 on Oct 21, 2018.

• autosearch-examples
• drawnetwork-examples
• genlatex-examples
• insert-examples
• jointprior-examples
• learn-examples
• maketrylist-examples
• network-examples
• networkfamily-examples
• numbermixed-examples
• nwfunique-examples
• perturb-examples
• readnet-examples
• rnetwork-examples

Source

View GitHub Mirror

Release History

• 1.2-39
• 1.2-37
• 1.2-35
• 1.2-34
• 1.2-33
• 1.2-31
• 1.2-30
• 1.2-29
• 1.2-28
• 1.2-27
• 1.2-26
• 1.2-25
• 1.2-22
• 1.2-17
• 1.2-9
• 1.2-8
• 1.2-7
• 1.2-6
• 1.2-4
• 1.2-3
• 1.1-15
• 1.1-2
• 1.1-1
• 1.0-20