CRAN

qrnn 2.0.4

Quantile Regression Neural Network

Released Jun 13, 2019 by Alex J. Cannon

Fit quantile regression neural network models with optional left censoring, partial monotonicity constraints, generalized additive model constraints, and the ability to fit multiple non-crossing quantile functions following Cannon (2011) and Cannon (2018) .

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>qrnn</artifactId>
    <version>2.0.4-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>

View build log

Renjin CLI

If you're using Renjin from the command line, you load this library by invoking:

library('org.renjin.cran:qrnn')

Test Results

This package was last tested against Renjin 0.9.2726 on Jul 13, 2019.

• YVRprecip-examples
• censored.mean-examples
• composite.stack-examples
• dummy.code-examples
• gam.style-examples
• huber-examples
• mcqrnn-examples
• qrnn-rbf-examples
• qrnn.fit-examples
• qrnn.predict-examples
• qrnn2-examples
• quantile.dtn-examples
• tilted.abs-examples
• transfer-examples

Source

View GitHub Mirror

Release History

• 2.0.4
• 2.0.3
• 2.0.2
• 2.0.1
• 2.0
• 1.1.3
• 1.1.2
• 1.1.1
• 1.1
• 1.0.3
• 1.0.2
• 1.0