vizMem

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

model

estimates to compare against. This should be a matrix with same dimensions as model$phi

compare

main

nrow

ncol

the specific individuals to plot. If the argument is left blank, all individuals will be plotted

indices

vector specifying labels for each sub-population

groupNames

fitNames

Plots estimates for individual group membership. The estimates used are the
normalized phi, which are the posterior means from the variational distribution. The estimated model is shown in black,
and the comparison (if available) is shown in red.

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).

vizMem: Mixed Membership Visualization

Description

Usage

Arguments

Details