CRAN

Mposterior 0.1.2

Mposterior: R package for Robust and Scalable Bayes via a Median of Subset Posterior Measures

Released Jun 2, 2014 by Sanvesh Srivastava

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

Dependencies

RcppArmadillo 0.9.100.5.0 Rcpp

Mposterior package provides a general framework for estimating a median of subset posterior measures (M-posterior). Each subset posterior measure is represented as a matrix of posterior samples; rows represent the atoms and columns index the dimensions. All subset measures are represented as list of matrices; length of the list equals the number of subsets (or machines). The distance between subset posterior measures and M-posterior is measured using the RBF kernel. M-posterior is represented as a weighted combination of empirical measures based on subsets measures. These weights are estimated using Weiszfeld algorithm implemented in this package.

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>Mposterior</artifactId>
    <version>0.1.2-b264</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:Mposterior')

Test Results

This package was last tested against Renjin 0.9.2689 on Aug 27, 2018.

Source

R
C++

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Release History