CRAN

mdw 2017.12-03

Maximum Diversity Weighting

Released Dec 4, 2017 by Zonglin He

This package can be loaded by Renjin but 2 out 6 tests failed.

Dimension-reduction methods aim at defining a score that maximizes signal diversity. Two approaches, namely maximum entropy weights and maximum variance weights, are provided.

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>mdw</artifactId>
    <version>2017.12-03-b7</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:mdw')

Test Results

This package was last tested against Renjin 0.9.2687 on Aug 24, 2018.

Source

R

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Release History