CRAN

quadrupen 0.2-6

Sparsity by Worst-Case Quadratic Penalties

Released Apr 30, 2018 by Julien Chiquet

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

Dependencies

ggplot2 3.0.0 RcppArmadillo 0.9.100.5.0 scales 1.0.0 Rcpp reshape2 1.4.3 Matrix 1.2-14

Fits classical sparse regression models with efficient active set algorithms by solving quadratic problems. Also provides a few methods for model selection purpose (cross-validation, stability selection).

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>quadrupen</artifactId>
    <version>0.2-6-b3</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:quadrupen')

Test Results

This package was last tested against Renjin 0.9.2689 on Aug 26, 2018.

Source

R
C
C++

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Release History