ysamwang/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 includes a Variational EM and MCMC estimation approaches. 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.

Getting started

Package details

MaintainerY. Samuel Wang <[email protected]>
LicenseGPL (>= 2)
Version1.2.0
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("ysamwang/mixedMem")
ysamwang/mixedMem documentation built on May 4, 2019, 5:33 p.m.