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r-mixedmem

Anaconda Verified

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

To install this package, run one of the following:

Conda
$conda install r::r-mixedmem

Usage Tracking

1.1.2
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About

Summary

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.

Last Updated

Jun 27, 2022 at 19:42

License

GPL-2

Total Downloads

338

Supported Platforms

linux-64

Unsupported Platforms

macOS-64 Last supported version: 1.1.0
win-64 Last supported version: 1.1.0