CRAN

msgps 1.3.1

Degrees of Freedom of Elastic Net, Adaptive Lasso and Generalized Elastic Net

Released Jan 27, 2019 by Kei Hirose

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

Computes the degrees of freedom of the lasso, elastic net, generalized elastic net and adaptive lasso based on the generalized path seeking algorithm. The optimal model can be selected by model selection criteria including Mallows' Cp, bias-corrected AIC (AICc), generalized cross validation (GCV) and BIC.

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>msgps</artifactId>
    <version>1.3.1-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:msgps')

Test Results

This package was last tested against Renjin 0.9.2719 on Jan 29, 2019.

Source

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Release History