CRAN
JointRegBC 0.1.1
Joint Modelling of Mixed Correlated Binary and Continuous Responses : A Latent Variable Approach
Released Jun 16, 2013 by Ehsan Bahrami Samani
Dependencies
MASS 7.3-50 nlme 3.1-137 survival 2.42-3
A joint regression model for mixed correlated binary and continuous responses is presented. In this model binary response can be dependent on the continuous response. With this model, the dependence between responses can be taken into account by the correlation between errors in the models for binary and continuous responses.
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>JointRegBC</artifactId> <version>0.1.1-b239</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:JointRegBC')
Test Results
This package was last tested against Renjin 0.9.2644 on Jun 2, 2018.