CRAN

vennLasso 0.1.5

Variable Selection for Heterogeneous Populations

Released Jan 25, 2019 by Jared Huling

This package can be loaded by Renjin but 8 out 11 tests failed.

Dependencies

foreach 1.4.4 RcppEigen 0.3.3.5.0 visNetwork 2.0.5 RcppNumerical 0.3-2 MASS 7.3-51.1 VennDiagram 1.6.20 Rcpp survival 2.43-3 Matrix 1.2-15 igraph 1.2.2

Provides variable selection and estimation routines for models with main effects stratified on multiple binary factors. The 'vennLasso' package is an implementation of the method introduced in Huling, et al. (2017) .

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>vennLasso</artifactId>
    <version>0.1.5-b1</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:vennLasso')

Test Results

This package was last tested against Renjin 0.9.2719 on Jan 27, 2019.

Source

C++

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