Released May 15, 2013 by
combinat 0.0-8 SpatialExtremes 2.0-6
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-b241</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 0.9.2644 on Jun 2, 2018.