CRAN

tglm 1.0

Binary Regressions under Independent Student-t Priors

Released Jul 26, 2015 by Yingbo Li

This package can be loaded by Renjin but all tests failed.

Dependencies

coda 0.19-1 truncnorm 1.0-8 mvtnorm 1.0-8 BayesLogit 0.6

Use Gibbs sampler with Polya-Gamma data augmentation to fit logistic and probit regression under independent Student-t priors (including Cauchy priors and normal priors as special cases).

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>tglm</artifactId>
    <version>1.0-b38</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:tglm')

Test Results

This package was last tested against Renjin 0.9.2689 on Aug 26, 2018.

tglm.fit-examples

Source

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