sink_cpp {expperm} | R Documentation |
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.
sink_cpp(A, maxit = 99)
A |
A matrix of assignment likelihoods. |
maxit |
An integer specifying the maximum number of steps used in the optimization. |
E(P)
, the expected permutation matrix corresponding to A
.
data(A) sink_cpp(A)