CRAN

gjam 2.2.7

Generalized Joint Attribute Modeling

Released Apr 17, 2019 by James S. Clark

This package can be loaded by Renjin but no tests could be found for the package.

Dependencies

RcppArmadillo 0.9.400.2.0 MASS 7.3-51.4 RANN 2.6.1 Rcpp

Analyzes joint attribute data (e.g., species abundance) that are combinations of continuous and discrete data with Gibbs sampling. Full model and computation details are described in Clark et al. (2018) .

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>gjam</artifactId>
    <version>2.2.7-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>

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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:gjam')

Source

R
C++

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Release History