CRAN

IMIFA 2.1.0

Infinite Mixtures of Infinite Factor Analysers and Related Models

Released Feb 4, 2019 by Keefe Murphy

This package can be loaded by Renjin but 3 out 18 tests failed.

Dependencies

slam 0.1-44 matrixStats 0.54.0 mclust 5.4.2 viridis 0.5.1 Rfast 1.9.2 mvnfast 0.2.5

Provides flexible Bayesian estimation of Infinite Mixtures of Infinite Factor Analysers and related models, for nonparametrically clustering high-dimensional data, introduced by Murphy et al. (2018) . The IMIFA model conducts Bayesian nonparametric model-based clustering with factor analytic covariance structures without recourse to model selection criteria to choose the number of clusters or cluster-specific latent factors, mostly via efficient Gibbs updates. Model-specific diagnostic tools are also provided, as well as many options for plotting results, conducting posterior inference on parameters of interest, posterior predictive checking, and quantifying uncertainty.

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>IMIFA</artifactId>
    <version>2.1.0-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>

View build log

Renjin CLI

If you're using Renjin from the command line, you load this library by invoking:

library('org.renjin.cran:IMIFA')

Test Results

This package was last tested against Renjin 0.9.2719 on Feb 6, 2019.

Source

R

View GitHub Mirror

Release History