CRAN

asVPC 1.0.2

Average Shifted Visual Predictive Checks

Released May 8, 2015 by Eun-Kyung Lee

Dependencies

ggplot2 2.2.1 plyr 1.8.4

The visual predictive checks are well-known method to validate the nonlinear mixed effect model, especially in pharmacometrics area. The average shifted visual predictive checks are the newly developed method of Visual predictive checks combined with the idea of the average shifted histogram.

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>asVPC</artifactId>
    <version>1.0.2-b42</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:asVPC')

Test Results

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

• VPC.graph-examples
• asVPC.binW-examples
• asVPC.distanceW-examples
• makeCOVbin-examples
• origdata-examples
• simdata-examples

Source

View GitHub Mirror

Release History

• 1.0.2