vizTheta

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

model

estimates to compare against. Should be an array with same dimensions as model$theta

compare

main

vector specifying labels for each variable

varNames

vector specifying labels for each sub-population

groupNames

the number of rows in each plot. If the argument is not specified, all variables will appear in one plot

nrow

fitNames

a vector which indicates specific variables to plot. If the argument is not specified, all variables will be plotted

indices

Plots $\theta$, the parameters which govern the distributions of variables in a mixed membership model. $\theta_{j,k}$ governs the
distribution of variable j for sub-population k. The model fit 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).

vizTheta: Mixed Membership Visualization

Description

Usage

Arguments

Details