CRAN

varcompci 1.0.1

VARCOMPCI: A Package for Computation of Confidence Intervals for Variance Components of Mixed Models in R.

Released May 5, 2012 by Sergi Civit

This package is available for Renjin and there are no known compatibility issues.

This package compute confidence intervals on individual variances for any balanced mixed model, involving five or fewer factors according to Burdick and Graybill (1992) methodology. The package would fit a saturated model to the data (main effect and interaction terms of all orders) providing an ANOVA model with Expected Mean Squares (type III) by using the (Bennett and Franklin 1954) algorithm. The output will include: a table showing the confidence interval (CI) and estimate of each covariance parameter, as well as the method used to compute the CI, the Expected Mean Square, an ANOVA table showing the degrees of freedom (df), sums of squares (SS), mean squares (MS), F statistic, and finally AIC and BIC measures.

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>varcompci</artifactId>
    <version>1.0.1-b251</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:varcompci')

Test Results

This package was last tested against Renjin 0.9.2644 on Jun 1, 2018.

Source

R

View GitHub Mirror

Release History