CRAN

glmm 1.3.0

Generalized Linear Mixed Models via Monte Carlo Likelihood Approximation

Released Dec 11, 2018 by Christina Knudson

Dependencies

foreach 1.4.4 trust 0.1-7 itertools 0.1-3 mvtnorm 1.0-8 Matrix 1.2-15 doParallel 1.0.14

Approximates the likelihood of a generalized linear mixed model using Monte Carlo likelihood approximation. Then maximizes the likelihood approximation to return maximum likelihood estimates, observed Fisher information, and other model information.

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>glmm</artifactId>
    <version>1.3.0-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:glmm')

Test Results

This package was last tested against Renjin 0.9.2716 on Dec 19, 2018.

• BinBerTest
• Booth2-examples
• BoothHobert-examples
• bacteria-examples
• bernoulli.glmm-examples
• binomfamtest
• binomial.glmm-examples
• cbpp2-examples
• cfamilies
• coef.glmm-examples
• confint.glmm-examples
• coreTest
• distRandtests
• elTest
• families
• familiesFiniteDiffs
• glmm-examples
• logLik-examples
• matvecmult
• mcse-examples
• mcseTest
• mcvcov-examples
• murder-examples
• objfunTest
• poisson.glmm-examples
• radish2-examples
• salamFiniteDiffs
• salamander-examples
• se-examples
• testpiecesBH
• testt
• varcomps.glmm-examples
• vcov.glmm-examples

Source

View GitHub Mirror

Release History

• 1.3.0
• 1.2.3
• 1.2.2
• 1.2.1
• 1.2
• 1.1.1
• 1.0.4
• 1.0.3
• 1.0.2
• 1.0.1
• 1.0