CRAN

abcrf 1.7

Approximate Bayesian Computation via Random Forests

Released Sep 4, 2017 by Jean-Michel Marin [aut, cre], Louis Raynal [aut], Pierre Pudlo [aut], Christian P. Robert [ctb], Arnaud Estoup [ctb]

This package can be loaded by Renjin but 12 out 13 tests failed.

Dependencies

ranger 0.8.0 stringr 1.2.0 MASS 7.3-47 matrixStats 0.52.2 readr 1.1.1 RcppArmadillo 0.8.100.1.0 Rcpp

Performs Approximate Bayesian Computation (ABC) model choice and parameter inference via random forests.

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>abcrf</artifactId>
    <version>1.7-b9</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:abcrf')

Test Results

This package was last tested against Renjin 0.8.2523 on Nov 12, 2017.

Source

R
C++

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Release History