CRAN

MultivariateRandomForest 1.1.5

Models Multivariate Cases Using Random Forests

Released May 1, 2017 by Raziur Rahman

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

Dependencies

bootstrap 2017.2 Rcpp

Models and predicts multiple output features in single random forest considering the linear relation among the output features, see details in Rahman et al (2017).

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>MultivariateRandomForest</artifactId>
    <version>1.1.5-b16</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:MultivariateRandomForest')

Test Results

This package was last tested against Renjin 0.9.2644 on Jun 2, 2018.

Source

C++

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