CRAN

varSelRF 0.7-8

Variable Selection using Random Forests

Released Jul 10, 2017 by Ramon Diaz-Uriarte

This package is available for Renjin and there are no known compatibility issues.

Dependencies

randomForest 4.6-14

Variable selection from random forests using both backwards variable elimination (for the selection of small sets of non-redundant variables) and selection based on the importance spectrum (somewhat similar to scree plots; for the selection of large, potentially highly-correlated variables). Main applications in high-dimensional data (e.g., microarray data, and other genomics and proteomics applications).

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>varSelRF</artifactId>
    <version>0.7-8-b17</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:varSelRF')

Test Results

This package was last tested against Renjin 0.9.2682 on Aug 23, 2018.

Source

R

View GitHub Mirror

Release History