CRAN

GpGp 0.2.0

Fast Gaussian Process Computation Using Vecchia's Approximation

Released Jun 29, 2019 by Joseph Guinness

This package can be loaded by Renjin but 18 out 21 tests failed.

Dependencies

RcppArmadillo 0.9.500.2.0 FNN 1.1.3 Rcpp

Functions for fitting and doing predictions with Gaussian process models using Vecchia's (1988) approximation. Package also includes functions for reordering input locations, finding ordered nearest neighbors (with help from 'FNN' package), grouping operations, and conditional simulations. Covariance functions for spatial and spatial-temporal data on Euclidean domains and spheres are provided. The original approximation is due to Vecchia (1988) , and the reordering and grouping methods are from Guinness (2018) . Model fitting employs a Fisher scoring algorithm described in Guinness (2019) .

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>GpGp</artifactId>
    <version>0.2.0-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>

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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:GpGp')

Test Results

This package was last tested against Renjin 0.9.2726 on Jul 13, 2019.

Source

C++

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