CRAN

dlbayes 0.1.0

Use Dirichlet Laplace Prior to Solve Linear Regression Problem and Do Variable Selection

Released Nov 14, 2018 by Shijia Zhang

This package can be loaded by Renjin but 4 out 5 tests failed.

Dependencies

glmnet 2.0-16 GIGrvg 0.5 expm 0.999-3 LaplacesDemon 16.1.1 MASS 7.3-51.1

The Dirichlet Laplace shrinkage prior in Bayesian linear regression and variable selection, featuring: utility functions in implementing Dirichlet-Laplace priors such as visualization; scalability in Bayesian linear regression; penalized credible regions for variable selection.

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>dlbayes</artifactId>
    <version>0.1.0-b1</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:dlbayes')

Test Results

This package was last tested against Renjin 0.9.2710 on Nov 16, 2018.

Source

R

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Release History