CRAN

glmmBUGS 2.4.2

Generalised Linear Mixed Models with BUGS and JAGS

Released May 1, 2018 by Patrick Brown

Dependencies

MASS 7.3-50 abind 1.4-3 sp 1.2-7

Automates running Generalised Linear Mixed Models, including spatial models, with WinBUGS, OpenBUGS and JAGS. Models are specified with formulas, with the package writings model files, arranging unbalanced data in ragged arrays, and creating starting values. The model is re-parameterized, and functions are provided for converting model outputs to the original parameterization.

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>glmmBUGS</artifactId>
    <version>2.4.2-b2</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:glmmBUGS')

Test Results

This package was last tested against Renjin 0.9.2644 on Jun 2, 2018.

• binToBinom-examples
• checkChain-examples
• cholInvArray-examples
• getDesignMatrix-examples
• glmmBUGS-examples
• glmmPQLstrings-examples
• mergeBugsData-examples
• muscleResult-examples
• ontario-examples
• ontarioResult-examples
• popDataAdjMat-examples
• rongelapUTM-examples
• startingFunction-examples
• summaryChain-examples
• winBugsRaggedArray-examples
• writeBugsModel-examples

Source

View GitHub Mirror

Release History

• 2.4.2
• 2.4.0
• 2.3
• 2.0
• 1.9
• 1.8
• 1.7
• 1.6.4
• 1.6
• 1.5
• 1.4
• 1.2
• 1.1
• 1.0