CRAN

globalboosttest 1.1-0

Testing the additional predictive value of high-dimensional data

Released Oct 29, 2012 by Anne-Laure Boulesteix

This package can be loaded by Renjin but 1 out 3 tests failed.

Dependencies

mboost 2.8-1 survival 2.42-3

'globalboosttest' implements a permutation-based testing procedure to globally test the (additional) predictive value of a large set of predictors given that a small set of predictors is already available. Currently, 'globalboosttest' supports binary outcomes (via logistic regression) and survival outcomes (via Cox regression). It is based on boosting regression as implemented in the package 'mboost'.

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>globalboosttest</artifactId>
    <version>1.1-0-b36</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:globalboosttest')

Test Results

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

Source

R

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Release History