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mixedMem (version 1.0.2)

Tools for Discrete Multivariate Mixed Membership Models

Description

Fits mixed membership models with discrete multivariate data (with or without repeated measures) following the general framework of Erosheva 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).

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Install

install.packages('mixedMem')

Monthly Downloads

179

Version

1.0.2

License

GPL (>= 2)

Maintainer

Last Published

May 8th, 2015

Functions in mixedMem (1.0.2)