CRAN

glmmsr 0.2.3

Fit a Generalized Linear Mixed Model

Released Feb 4, 2019 by Helen Ogden

This package can be loaded by Renjin but there was an error compiling C/FORTRAN sources and all tests failed.

Dependencies

Rcpp BH 1.69.0-1 lme4 1.1-20 Matrix 1.2-15 R6 2.3.0 numDeriv 2016.8-1 RcppEigen 0.3.3.5.0

Conduct inference about generalized linear mixed models, with a choice about which method to use to approximate the likelihood. In addition to the Laplace and adaptive Gaussian quadrature approximations, which are borrowed from 'lme4', the likelihood may be approximated by the sequential reduction approximation, or an importance sampling approximation. These methods provide an accurate approximation to the likelihood in some situations where it is not possible to use adaptive Gaussian quadrature.

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>glmmsr</artifactId>
    <version>0.2.3-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>

View build log

Renjin CLI

If you're using Renjin from the command line, you load this library by invoking:

library('org.renjin.cran:glmmsr')

Test Results

This package was last tested against Renjin 0.9.2719 on Feb 6, 2019.

Source

C++

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