CRAN

JacobiEigen 0.3-3

Classical Jacobi Eigenvalue Algorithm

Released Mar 10, 2019 by Bill Venables

This package is available for Renjin and there are no known compatibility issues.

Dependencies

Rcpp

Implements the classical Jacobi algorithm for the eigenvalues and eigenvectors of a real symmetric matrix, both in pure 'R' and in 'C++' using 'Rcpp'. Mainly as a programming example for teaching purposes.

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>JacobiEigen</artifactId>
    <version>0.3-3-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:JacobiEigen')

Test Results

This package was last tested against Renjin 0.9.2724 on Mar 12, 2019.

Source

R
C++

View GitHub Mirror

Release History