CRAN

LPStimeSeries 1.0-5

Learned Pattern Similarity and Representation for Time Series

Released Mar 27, 2015 by Mustafa Gokce Baydogan

This package can be loaded by Renjin but 3 out 9 tests failed.

Dependencies

RColorBrewer 1.1-2

Learned Pattern Similarity (LPS) for time series. Implements a novel approach to model the dependency structure in time series that generalizes the concept of autoregression to local auto-patterns. Generates a pattern-based representation of time series along with a similarity measure called Learned Pattern Similarity (LPS). Introduces a generalized autoregressive kernel.This package is based on the 'randomForest' package by Andy Liaw.

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>LPStimeSeries</artifactId>
    <version>1.0-5-b267</version>
  </dependency>
</dependencies>
<repositories>
  <repository>
    <id>bedatadriven</id>
    <name>bedatadriven public repo</name>
    <url>https://nexus.bedatadriven.com/content/groups/public/</url>
  </repository>
</repositories>

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Renjin CLI

If you're using Renjin from the command line, you load this library by invoking:

library('org.renjin.cran:LPStimeSeries')

Test Results

This package was last tested against Renjin 0.9.2644 on Jun 1, 2018.

Source

R
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Release History