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r-mixedmem

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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_test::r-mixedmem

Usage Tracking

1.1.0
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Total downloads: 0

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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.

Information Last Updated

Apr 22, 2025 at 15:32

License

GPL-2

Total Downloads

18

Platforms

Linux 64 Version: 1.1.0
macOS 64 Version: 1.1.0
Win 64 Version: 1.1.0