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.
| Version: |
1.1.0 |
| Depends: |
R (≥ 3.0.2) |
| Imports: |
Rcpp (≥ 0.11.3), gtools |
| LinkingTo: |
Rcpp (≥ 0.11.3), RcppArmadillo, BH |
| Suggests: |
knitr, xtable |
| Published: |
2015-08-17 |
| Author: |
Y. Samuel Wang [aut, cre],
Elena A. Erosheva [aut] |
| Maintainer: |
Y. Samuel Wang <ysamwang at uw.edu> |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: |
yes |
| CRAN checks: |
mixedMem results |