Title: Tools for Discrete Multivariate Mixed Membership Models
Authors@R: c( person("Y. Samuel", "Wang", email = "ysamwang@uw.edu", role =
c("aut","cre")), person("Elena A.", "Erosheva", email =
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).
LinkingTo: Rcpp (>= 0.11.3), RcppArmadillo, BH

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.

Authors@R: c( person("Y. Samuel", "Wang", email = "ysamuelwang@gmail.com", role =
Maintainer: Y. Samuel Wang <ysamuelwang@gmail.com>
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.

Title: Estimator with Qudratics Forms in Mixeds Models
Author: Jean-Benoist Leger <jleger@agroparistech.fr>, ENS Cachan
Description: Compute Estimator of variance with quadratic forms, and
computes test on a linar contrasts in fixed effects

Title: Estimation Methods for Stochastic Differential Mixed Effects
Adeline Sansom [aut], Simone Hermann [aut]
Depends: R (>= 3.0.2), sde, moments, MASS, stats, graphics, methods
Description: Inference on stochastic differential models Ornstein-Uhlenbeck or
Cox-Ingersoll-Ross, with one or two random effects in the drift function.