CRAN

decomposedPSF 0.1.3

Time Series Prediction with PSF and Decomposition Methods (EMD and EEMD)

Released Jul 9, 2017 by Neeraj Bokde

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

Dependencies

PSF 0.4 tseries 0.10-42 forecast 8.2 Rlibeemd 1.4.0

Predict future values with hybrid combinations of Pattern Sequence based Forecasting (PSF), Autoregressive Integrated Moving Average (ARIMA), Empirical Mode Decomposition (EMD) and Ensemble Empirical Mode Decomposition (EEMD) methods based hybrid methods.

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>decomposedPSF</artifactId>
    <version>0.1.3-b8</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:decomposedPSF')

Test Results

This package was last tested against Renjin 0.8.2523 on Nov 12, 2017.

Source

R

View GitHub Mirror

Release History