vizMem

the <code>mixedMemModel</code> object that will be plotted.

model

a matrix of the same dimensions as <code>model$phi</code> which contains parameters to compare
against the fitted model.

compare

main

nrow

ncol

the specific individuals which will be shown in the plot. If the argument is left blank, all individuals will be plotted.
If the number of individuals to be plotted is larger than <code>nrow * ncol</code> then multiple plots will be produced.

indices

a vector specifying labels for each sub-population.

groupNames

a vector of length 2 containing strings which correspond to the names of the models (fitted and comparison).

fitNames


<code>vizMem</code> plots estimates for the group membership scores of each individual. This is the function called by the <code>mixedMemModel</code> class
generic plot function.


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.

vizMem: Mixed Membership Visualization

Description

Usage

Arguments

Details