CRAN

MNS 1.0

Mixed Neighbourhood Selection

Released Dec 8, 2015 by Ricardo Pio Monti

Dependencies

glmnet 2.0-16 mvtnorm 1.0-8 MASS 7.3-50 doParallel 1.0.11 igraph 1.2.2

An implementation of the mixed neighbourhood selection (MNS) algorithm. The MNS algorithm can be used to estimate multiple related precision matrices. In particular, the motivation behind this work was driven by the need to understand functional connectivity networks across multiple subjects. This package also contains an implementation of a novel algorithm through which to simulate multiple related precision matrices which exhibit properties frequently reported in neuroimaging analysis.

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>MNS</artifactId>
    <version>1.0-b35</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:MNS')

Test Results

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

• MNS-examples
• MNS-package-examples
• cv.MNS-examples
• gen.Network-examples
• plot.MNS-examples

Source

View GitHub Mirror

Release History

• 1.0