Released May 15, 2013 by Rob Erhardt
This package contains code to 1.) construct the summary statistic needed to facilitate approximate Bayesian computing for spatial extremes, and then 2.) run the ABC-Rejection method to produce a set of draws from the ABC posterior. The intention is for the user to directly modify the command >abc.rej() to suit his or her purposes. In general, ABC fitting of max-stable processes is very computationally expensive, and requires advanced programming skills with research computing.
This package can be included as a dependency from a Java or Scala project by including
the following your project's
about embedding Renjin in JVM-based projects.
<dependencies> <dependency> <groupId>org.renjin.cran</groupId> <artifactId>ABCExtremes</artifactId> <version>1.0-b233</version> </dependency> </dependencies> <repositories> <repository> <id>bedatadriven</id> <name>bedatadriven public repo</name> <url>https://nexus.bedatadriven.com/content/groups/public/</url> </repository> </repositories>
If you're using Renjin from the command line, you load this library by invoking:
This package was last tested against Renjin 0.8.2442 on Sep 25, 2017.