CRAN

varImp 0.3

RF Variable Importance for Arbitrary Measures

Released May 3, 2019 by Philipp Probst

This package can be loaded by Renjin but all tests failed. An older version of this package is more compatible with Renjin.

Dependencies

party 1.3-3 measures 0.2

Computes the random forest variable importance (VIMP) for the conditional inference random forest (cforest) of the 'party' package. Includes a function (varImp) that computes the VIMP for arbitrary measures from the 'measures' package. For calculating the VIMP regarding the measures accuracy and AUC two extra functions exist (varImpACC and varImpAUC).

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>varImp</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>

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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:varImp')

Test Results

This package was last tested against Renjin 0.9.2726 on May 7, 2019.

Source

R

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Release History