mixedMem: Tools for Discrete Multivariate Mixed Membership Models

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.

Package details

AuthorY. Samuel Wang [aut, cre], Elena A. Erosheva [aut]
MaintainerY. Samuel Wang <ysamuelwang@gmail.com>
LicenseGPL (>= 2)
Package repositoryView on CRAN
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mixedMem documentation built on Dec. 2, 2020, 1:09 a.m.