CRAN

multinbmod 1.0

Regression analysis of overdispersed correlated count data

Released Jan 16, 2014 by Ivonne Solis-Trapala

This is a likelihood approach for the regression analysis of overdispersed correlated count data with cluster varying covariates. The approach fits a multivariate negative binomial model by maximum likelihood and provides robust estimates of the regression coefficients.

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>multinbmod</artifactId>
    <version>1.0-b245</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:multinbmod')

Test Results

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

• multinb.fit-examples
• multinbmod-examples
• multinbmod-package-examples
• summary.multinbmod-examples

Source

View GitHub Mirror

Release History

• 1.0