CRAN

mbclusterwise 1.0

Clusterwise Multiblock Analyses

Released Nov 22, 2016 by Stephanie Bougeard

Dependencies

doParallel 1.0.11 ade4 1.7-11 kknn 1.3.1 foreach 1.4.4

Perform clusterwise multiblock analyses (clusterwise multiblock Partial Least Squares, clusterwise multiblock Redundancy Analysis or a regularized method between the two latter ones) associated with a F-fold cross-validation procedure to select the optimal number of clusters and dimensions.

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>mbclusterwise</artifactId>
    <version>1.0-b15</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:mbclusterwise')

Test Results

This package was last tested against Renjin 0.9.2635 on Apr 26, 2018.

• cw.multiblock-examples
• cw.predict-examples
• cw.tenfold-examples
• mbpcaiv.fast-examples
• mbpls.fast-examples
• mbregular-examples
• simdata.red-examples

Source

View GitHub Mirror

Release History

• 1.0