Package: mixedMem
Type: Package
Title: Tools for Discrete Multivariate Mixed Membership Models
Version: 1.2.0
Date: 2016-04-4
Authors@R: c( person("Y. Samuel", "Wang", email = "ysamwang@uw.edu", role =
    c("aut","cre")), person("Elena A.", "Erosheva", email =
    "erosheva@uw.edu", role = "aut"))
Maintainer: Y. Samuel Wang <ysamwang@uw.edu>
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 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.
License: GPL (>= 2)
Depends: R (>= 3.0.2)
Imports: Rcpp (>= 0.11.3), gtools, R.utils
LazyData: TRUE
LinkingTo: Rcpp (>= 0.11.3), RcppArmadillo, BH
VignetteBuilder: knitr
Suggests: knitr, xtable,
RoxygenNote: 5.0.1
Repository: https://ysamwang.r-universe.dev
Date/Publication: 2016-04-05 00:23:58 UTC
RemoteUrl: https://github.com/ysamwang/mixedmem
RemoteRef: HEAD
RemoteSha: d830b4de68027fee4ebf08a5fa8ed71e530e4553
NeedsCompilation: yes
Packaged: 2026-07-09 07:45:39 UTC; root
Author: Y. Samuel Wang [aut, cre],
  Elena A. Erosheva [aut]