CRAN
odprism 1.1
Optimal design and performance of random intercept and slope models.
Released Mar 14, 2013 by Martijn van de Pol
Dependencies
mvtnorm 1.0-8 fields 9.6 lme4 1.1-18-1 Matrix 1.2-14
Simulation functions to assess the optimal design and performance of random intercept and slope models (i.e. mixed models), which can be used to a priori determine adequate sampling designs for e.g. reaction norm studies. Functions allow users to vary the sampling design in terms of number of grouping units sampled (e.g. individuals, schools, populations, etc.) and replicates per grouping unit (unbalanced as well balanced datasets) and also allow users to vary the parameter conditions used to generate the data. Subsequently, the performance of mixed models (based on lme4 package) fitted on these datasets is assessed in terms of the accuracy and the precision of estimates of fixed and random parameter, as well as the statistical power.
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>odprism</artifactId>
<version>1.1-b40</version>
</dependency>
</dependencies>
<repositories>
<repository>
<id>bedatadriven</id>
<name>bedatadriven public repo</name>
<url>https://nexus.bedatadriven.com/content/groups/public/</url>
</repository>
</repositories>
Renjin CLI
If you're using Renjin from the command line, you load this library by invoking:
library('org.renjin.cran:odprism')
Test Results
This package was last tested against Renjin 0.9.2689 on Aug 26, 2018.