CRAN

atmcmc 1.0

Automatically Tuned Markov Chain Monte Carlo

Released Sep 29, 2014 by Jinyoung Yang

This package can be loaded by Renjin but 1 out 3 tests failed.

Uses adaptive diagnostics to tune and run a random walk Metropolis MCMC algorithm, to converge to a specified target distribution and estimate means of functionals.

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>atmcmc</artifactId>
    <version>1.0-b228</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:atmcmc')

Test Results

This package was last tested against Renjin 0.8.2359 on May 26, 2017.

Source

R

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Release History