mixedMem (1.1.0)

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Tools for Discrete Multivariate Mixed Membership Models.

http://cran.r-project.org/web/packages/mixedMem

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.

Maintainer: Y. Samuel Wang
Author(s): Y. Samuel Wang [aut, cre], Elena A. Erosheva [aut]

License: GPL (>= 2)

Uses: gtools, Rcpp, xtable, knitr

Released over 1 year ago.


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