CRAN

LICORS 0.2.0

Light Cone Reconstruction of States - Predictive State Estimation From Spatio-Temporal Data

Released Nov 26, 2013 by Georg M. Goerg

This package can be loaded by Renjin but 2 out 28 tests failed.

Dependencies

Matrix 1.2-14 RColorBrewer 1.1-2 fields 9.6 mvtnorm 1.0-8 FNN 1.1 locfit 1.5-9.1 zoo 1.8-1

Estimates predictive states from spatio-temporal data and consequently can provide provably optimal forecasts. Currently this implementation supports an N-dimensional spatial grid observed over equally spaced time intervals. E.g. a video is a 2D spatial systems observed over time. This package implements mixed LICORS, has plotting tools (for (1+1)D and (2+1)D systems), and methods for optimal forecasting. Due to memory limitations it is recommend to only analyze (1+1)D systems.

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>LICORS</artifactId>
    <version>0.2.0-b38</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:LICORS')

Test Results

This package was last tested against Renjin 0.9.2644 on Jun 2, 2018.

Source

R

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Release History