CRAN

DLASSO 2.0.2

Implementation of Adaptive or Non-Adaptive Differentiable Lasso and SCAD Penalties in Linear Models

Released Jun 8, 2017 by Hamed Haseli Mashhadi

This package can be loaded by Renjin but 2 out 3 tests failed.

Dependencies

MASS 7.3-50

An implementation of the differentiable lasso (dlasso) and SCAD (dSCAD) using iterative ridge algorithm. This package allows selecting the tuning parameter by AIC, BIC, GIC and GIC.

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>DLASSO</artifactId>
    <version>2.0.2-b11</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:DLASSO')

Test Results

This package was last tested against Renjin 0.9.2644 on Jun 1, 2018.

Source

R

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Release History