CRAN

gamlr 1.13-5

Gamma Lasso Regression

Released May 13, 2018 by Matt Taddy

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

Dependencies

Matrix 1.2-14

The gamma lasso algorithm provides regularization paths corresponding to a range of non-convex cost functions between L0 and L1 norms. As much as possible, usage for this package is analogous to that for the glmnet package (which does the same thing for penalization between L1 and L2 norms). For details see: Taddy (2017 JCGS), One-Step Estimator Paths for Concave Regularization, .

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>gamlr</artifactId>
    <version>1.13-5-b2</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:gamlr')

Test Results

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

Source

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Release History