Tools for Discrete Multivariate Mixed Membership Models
Compute the approximate BIC
Compute a lower bound on the log-likelihood (ELBO)
Mixed Membership Post-Processing
Tools for fitting discrete multivariate mixed membership models
Constructor for a Mixed Membership Model Object
Fit Mixed Membership models using variational EM
Mixed Membership Post-Processing
Plot a Mixed Membership Model
Simulate Mixed Membership Data
Summary of a Mixed Membership Model
Mixed Membership Visualization
Mixed Membership Visualization
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.