CRAN

mixedMem 1.1.0

Tools for Discrete Multivariate Mixed Membership Models

Released Aug 17, 2015 by Y. Samuel Wang

This package can be loaded by Renjin but there was an error compiling C/FORTRAN sources and 2 out 3 tests failed.

Dependencies

RcppArmadillo 0.8.500.0 Rcpp BH 1.66.0-1 gtools 3.5.0

Fits mixed membership models with discrete multivariate data (with or without repeated measures) following the general framework of Erosheva et al (2004). This package uses a Variational EM approach by approximating the posterior distribution of latent memberships and selecting hyperparameters through a pseudo-MLE procedure. Currently supported data types are Bernoulli, multinomial and rank (Plackett-Luce). The extended GoM model with fixed stayers from Erosheva et al (2007) is now also supported. See Airoldi et al (2014) for other examples of mixed membership models.

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>mixedMem</artifactId>
    <version>1.1.0-b60</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:mixedMem')

Test Results

This package was last tested against Renjin 0.9.2644 on Jun 2, 2018.

Source

R
C
C++

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Release History