c( person("Y. Samuel", "Wang", email = "ysamuelwang@gmail.com", role =
c("aut","cre")), person("Elena A.", "Erosheva", email =
"erosheva@uw.edu", role = "aut"))
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.

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

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

Inference on stochastic differential models Ornstein-Uhlenbeck or
Cox-Ingersoll-Ross, with one or two random effects in the drift function.
S. Hermann, K. Ickstadt and C. Mueller (2016) <doi:10.1002/asmb.2175>
M. Delattre, V. Genon-Catalot and A. Samson (2012) <doi:10.1111/j.1467-9469.2012.00813.x>
F. Comte, V. Genon-Catalot and A. Samson (2013) <doi:10.1016/j.spa.2013.04.009>
V. Genon-Catalot and C. Laredo (2014) <doi:10.1080/02331888.2016.1141910>
C. Dion and V. Genon-Catalot (2015) <doi:10.1007/s11203-015-9122-0>.

Christophe Ambroise, Gilles Grasseau, Mark Hoebeke, Pierre Latouche
Gilles Grasseau, Mark Hoebeke <mixer@genopole.cnrs.fr>
performs the estimation of Erdös Rényi Mixture for Graphs