expperm (version 0.1.0)

sink: A variational approximation of an expected permutation matrix

Description

Computes an approximate expected permutation matrix and marginal likelihood from a matrix of assignment likelihoods. The approximation minimizes a constrained KL divergence from the likelihood, and is computed via the repeated renormalization of the input's rows and columns.

Usage

sink(A, maxit = 99)

Arguments

A

A matrix of assignment likelihoods.

maxit

An integer specifying the maximum number of steps used in the optimization.

Value

E(P), the expected permutation matrix corresponding to A.

Examples

# NOT RUN {
data(A)
sink(A)
# }