CRAN

nnlasso 0.3

Non-Negative Lasso and Elastic Net Penalized Generalized Linear Models

Released Mar 10, 2016 by Baidya Nath Mandal

This package can be loaded by Renjin but 3 out 8 tests failed.

Estimates of coefficients of lasso penalized linear regression and generalized linear models subject to non-negativity constraints on the parameters using multiplicative iterative algorithm. Entire regularization path for a sequence of lambda values can be obtained. Functions are available for creating plots of regularization path, cross validation and estimating coefficients at a given lambda value. There is also provision for obtaining standard error of coefficient estimates.

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>nnlasso</artifactId>
    <version>0.3-b44</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:nnlasso')

Test Results

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

Source

R

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Release History