CRAN
mBvs 1.1
Bayesian Variable Selection Methods for Multivariate Data
Released Oct 29, 2017 by Kyu Ha Lee
This package can be loaded by Renjin but there was an error compiling C/FORTRAN sources and 1 out 3 tests failed.
Bayesian variable selection methods for data with multivariate responses and multiple covariates. The package contains implementations of multivariate Bayesian variable selection methods for continuous data and zero-inflated count data.
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>mBvs</artifactId>
<version>1.1-b9</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:mBvs')
Test Results
This package was last tested against Renjin 0.9.2644 on Jun 2, 2018.