CRAN
growcurves 0.2.4.1
Bayesian Semi and Nonparametric Growth Curve Models that Additionally Include Multiple Membership Random Effects
Released Dec 21, 2016 by Terrance Savitsky
Dependencies
RcppArmadillo 0.8.500.0 ggplot2 2.2.1 Formula 1.2-3 Rcpp reshape2 1.4.3
Employs a non-parametric formulation for by-subject random effect parameters to borrow strength over a constrained number of repeated measurement waves in a fashion that permits multiple effects per subject. One class of models employs a Dirichlet process (DP) prior for the subject random effects and includes an additional set of random effects that utilize a different grouping factor and are mapped back to clients through a multiple membership weight matrix; e.g. treatment(s) exposure or dosage. A second class of models employs a dependent DP (DDP) prior for the subject random effects that directly incorporates the multiple membership pattern.
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>growcurves</artifactId>
<version>0.2.4.1-b22</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:growcurves')
Test Results
This package was last tested against Renjin 0.9.2644 on Jun 2, 2018.