CRAN

DMRnet 0.2.0

Delete or Merge Regressors Algorithms for Linear and Logistic Model Selection and High-Dimensional Data

Released Mar 24, 2018 by Agnieszka Prochenka-Sołtys

This package is available for Renjin and there are no known compatibility issues.

Dependencies

glmnet 2.0-16 grpreg 3.1-3

Model selection algorithms for regression and classification, where the predictors can be numerical and categorical and the number of regressors exceeds the number of observations. The selected model consists of a subset of numerical regressors and partitions of levels of factors. Aleksandra Maj-Kańska, Piotr Pokarowski and Agnieszka Prochenka (2015) . Piotr Pokarowski and Jan Mielniczuk (2015) .

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>DMRnet</artifactId>
    <version>0.2.0-b4</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:DMRnet')

Test Results

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

Source

R

View GitHub Mirror

Release History