permuteLabels

the fitted <code>mixedMemModel</code> object

model

the permutation by which to relabel the <code>mixedMemModel</code> object. Must be a vector of length model$K.

perm

Mixed Membership models are invariant to permutations of the sub-population labels and the ordering of the labels
is dependent on the initialization of the variational EM algorithim.
Given a permutation, which can be found using <code>findLabels</code>,
the method returns a <code>mixedMemModel</code> object with permuted labels

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).

permuteLabels: Mixed Membership Post-Processing

Description

Usage

Arguments

Value

See Also