CRAN

GPvam 3.0-5

Maximum Likelihood Estimation of Multiple Membership Mixed Models Used in Value-Added Modeling

Released Apr 18, 2018 by Andrew Karl

This package can be loaded by Renjin but 1 out 4 tests failed.

Dependencies

Matrix 1.2-14 RcppArmadillo 0.8.500.0 Rcpp numDeriv 2016.8-1

An EM algorithm, Karl et al. (2013) , is used to estimate the generalized, variable, and complete persistence models, Mariano et al. (2010) . These are multiple-membership linear mixed models with teachers modeled as "G-side" effects and students modeled with either "G-side" or "R-side" effects.

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>GPvam</artifactId>
    <version>3.0-5-b3</version>
  </dependency>
</dependencies>
<repositories>
  <repository>
    <id>bedatadriven</id>
    <name>bedatadriven public repo</name>
    <url>https://nexus.bedatadriven.com/content/groups/public/</url>
  </repository>
</repositories>

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Renjin CLI

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

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

Test Results

This package was last tested against Renjin 0.9.2644 on Jun 2, 2018.