CRAN

mlegp 3.1.7

Maximum Likelihood Estimates of Gaussian Processes

Released Apr 14, 2018 by Garrett M. Dancik

Maximum likelihood Gaussian process modeling for univariate and multi-dimensional outputs with diagnostic plots following Santner et al (2003) . Contact the maintainer for a package version that includes sensitivity analysis.

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>mlegp</artifactId>
    <version>3.1.7-b3</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:mlegp')

Test Results

This package was last tested against Renjin 0.9.2687 on Aug 24, 2018.

• CV-examples
• gp.list-examples
• is.gp-examples
• mlegp-examples
• mlegp-naming-functions-examples
• mlegp-svd-functions-examples
• nugget-examples
• paramLookup-examples
• plot.gp-examples
• plot.gp.list-examples
• plotObservedEffects-examples
• predict.gp-examples
• print.gp-examples
• print.gp.list-examples
• summary.gp-examples
• summary.gp.list-examples
• uniqueSummary-examples

Source

View GitHub Mirror

Release History

• 3.1.7
• 3.1.6
• 3.1.4
• 3.1.3
• 3.1.2
• 3.1.1
• 3.1.0
• 2.2.6
• 2.2.5
• 2.2.4
• 2.2.3
• 2.2.2
• 2.2.1
• 2.2
• 2.1
• 2.0
• 1.1
• 1.0