CRAN

dyncomp 0.0.2-1

Complexity of Short and Coarse-Grained Time Series

Released Aug 16, 2018 by Tim Kaiser

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

Dependencies

While there are many well-established measures for identifying critical fluctuations and phase transitions, these measures only work with many points of measurement and thus are unreliable when studying short and coarse-grained time series. This package provides a measure for complexity in a time series that does not rely on long time series (Kaiser (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>dyncomp</artifactId>
    <version>0.0.2-1-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:dyncomp')

Test Results

This package was last tested against Renjin 0.9.2657 on Aug 18, 2018.

complexity-examples

Source

View GitHub Mirror