Package: mixedMem
Type: Package
Title: Tools for Discrete Multivariate Mixed Membership Models
Version: 1.1.2
Date: 2020-11-28
Authors@R: c( person("Y. Samuel", "Wang", email = "ysamuelwang@gmail.com", role =
    c("aut","cre")), person("Elena A.", "Erosheva", email =
    "erosheva@uw.edu", role = "aut"))
Maintainer: Y. Samuel Wang <ysamuelwang@gmail.com>
Description: 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.
License: GPL (>= 2)
Depends: R (>= 3.0.2)
Imports: Rcpp (>= 0.11.3), gtools
LazyData: TRUE
LinkingTo: Rcpp (>= 0.11.3), RcppArmadillo, BH
VignetteBuilder: knitr
Suggests: knitr, xtable,
NeedsCompilation: yes
Packaged: 2026-10-04 10:37:41 UTC; root
Author: Y. Samuel Wang [aut, cre], Elena A. Erosheva [aut]
Repository: https://cran.r-universe.dev
Date/Publication: 2020-12-01 16:30:13 UTC
RemoteUrl: https://github.com/cran/mixedMem
RemoteRef: HEAD
RemoteSha: 106a3d6d3008c505b9406adf8de1ac0e39bda510