CRAN
MultiRNG 1.2.2
Multivariate Pseudo-Random Number Generation
Released May 14, 2019 by Ran Gao
This package can be loaded by Renjin but 6 out 11 tests failed.
Pseudo-random number generation for 11 multivariate distributions: Normal, t, Uniform, Bernoulli, Hypergeometric, Beta (Dirichlet), Multinomial, Dirichlet-Multinomial, Laplace, Wishart, and Inverted Wishart. The details of the method are explained in Demirtas (2004)
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>MultiRNG</artifactId>
<version>1.2.2-b1</version>
</dependency>
</dependencies>
<repositories>
<repository>
<id>bedatadriven</id>
<name>bedatadriven public repo</name>
<url>https://nexus.bedatadriven.com/content/groups/public/</url>
</repository>
</repositories>
Renjin CLI
If you're using Renjin from the command line, you load this library by invoking:
library('org.renjin.cran:MultiRNG')
Test Results
This package was last tested against Renjin 0.9.2726 on Jul 13, 2019.
- draw.correlated.binary-examples
- draw.d.variate.normal-examples
- draw.d.variate.t-examples
- draw.d.variate.uniform-examples
- draw.dirichlet-examples
- draw.dirichlet.multinomial-examples
- draw.multinomial-examples
- draw.multivariate.hypergeometric-examples
- draw.multivariate.laplace-examples
- generate.point.in.sphere-examples
- loc.min-examples