CRAN

JADE 2.0-1

Blind Source Separation Methods Based on Joint Diagonalization and Some BSS Performance Criteria

Released Mar 2, 2018 by Klaus Nordhausen

This package can be loaded by Renjin but 2 out 19 tests failed.

Dependencies

Cardoso's JADE algorithm as well as his functions for joint diagonalization are ported to R. Also several other blind source separation (BSS) methods, like AMUSE and SOBI, and some criteria for performance evaluation of BSS algorithms, are given. The package is described in Miettinen, Nordhausen and Taskinen (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>JADE</artifactId>
    <version>2.0-1-b7</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:JADE')

Test Results

This package was last tested against Renjin 0.9.2689 on Aug 25, 2018.

Source

C++

View GitHub Mirror