CRAN

DynamicGP 1.1-2

Modelling and Analysis of Dynamic Computer Experiments

Released Jan 3, 2019 by Ru Zhang

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

Dependencies

Emulating and solving inverse problems for dynamic computer experiments. It contains two major functionalities: (1) localized GP model for large-scale dynamic computer experiments using the algorithm proposed by Zhang et al. (2018) ; (2) solving inverse problems in dynamic computer experiments. The current version only supports 64-bit version of R.

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>DynamicGP</artifactId>
    <version>1.1-2-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:DynamicGP')

Test Results

This package was last tested against Renjin 0.9.2718 on Jan 5, 2019.

Source

C++

Fortran

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