CRAN

dsample 0.91.2.2

Discretization-Based Direct Random Sample Generation

Released Nov 30, 2015 by Chel Hee Lee

This package can be loaded by Renjin but all tests failed.

Dependencies

Two discretization-based Monte Carlo algorithms, namely the Fu-Wang algorithm and the Wang-Lee algorithm, are provided for random sample generation from a high dimensional distribution of complex structure. The normalizing constant of the target distribution needs not to be known.

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>dsample</artifactId>
    <version>0.91.2.2-b33</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:dsample')

Test Results

This package was last tested against Renjin 0.9.2689 on Aug 26, 2018.

dsample-examples

Source

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