permuteLabels {mixedMem}

Mixed Membership Post-Processing

Description

Mixed Membership models are invariant to permutations of the sub-population labels; swapping the names of each sub-population yields an equivalent model. The ordering of the labels in a fitted model is dependent on the initialization points of the variational EM algorithim. The permuteLabels function returns a mixedMemModel object where the labels (for \theta, \phi, \delta and \alpha) have been permuted according a given permutation of the integers 1 through K. The findLabels function can be used to find a permutation of the labels which most closely matches another fitted model.

Usage

permuteLabels(model, perm)

Arguments

model

a fitted mixedMemModel object which will be relabeled.

perm

a vector of length K with integers 1:K. This is the permutation by which to relabel the mixedMemModel object such that group i in the returned mixedMemModel object corresponds to group perm[i] from the input mixedMemModel object.

Value

permuteLabels returns a mixedMemModel object such that group i in the returned mixedMemModel object corresponds to group perm[i] from the input mixedMemModel object

See Also

findLabels