CRAN

l0ara 0.1.5

Sparse Generalized Linear Model with L0 Approximation for Feature Selection

Released Jul 24, 2017 by Wenchuan Guo

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

Dependencies

RcppArmadillo 0.9.100.5.0 Rcpp

An efficient procedure for feature selection for generalized linear models with L0 penalty, including linear, logistic, Poisson, gamma, inverse Gaussian regression. Adaptive ridge algorithms are used to fit the models.

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>l0ara</artifactId>
    <version>0.1.5-b16</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:l0ara')

Test Results

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

Source

R
C++

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Release History