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: 2020-12-01 04:31:00 UTC; swang24
Author: Y. Samuel Wang [aut, cre],
  Elena A. Erosheva [aut]
Repository: CRAN
Date/Publication: 2020-12-01 17:30:13 UTC
Built: R 4.6.0; aarch64-apple-darwin23; 2026-03-27 06:56:23 UTC; unix
Archs: mixedMem.so.dSYM
