Package: mixedMem
Type: Package
Title: Tools for Discrete Multivariate Mixed Membership Models
Version: 1.0.2
Date: 2015-04-29
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 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).
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,
Packaged: 2015-05-08 15:01:39 UTC; hornik
Author: Y. Samuel Wang [aut, cre],
  Elena A. Erosheva [aut]
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2015-05-08 18:14:40
Built: R 3.1.3; x86_64-apple-darwin10.8.0; 2015-05-11 19:53:11 UTC; unix
Archs: mixedMem.so.dSYM
