CRAN

quantregForest 1.3-7

Quantile Regression Forests

Released Dec 19, 2017 by Loris Michel

This package can be loaded by Renjin but all tests failed.

Dependencies

randomForest 4.6-14 RColorBrewer 1.1-2

Quantile Regression Forests is a tree-based ensemble method for estimation of conditional quantiles. It is particularly well suited for high-dimensional data. Predictor variables of mixed classes can be handled. The package is dependent on the package 'randomForest', written by Andy Liaw.

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>quantregForest</artifactId>
    <version>1.3-7-b9</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:quantregForest')

Test Results

This package was last tested against Renjin 0.9.2689 on Aug 27, 2018.

Source

R
C
Fortran

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Release History