sink_cpp: A variational approximation of an expected permutation matrix...
In expperm: Computing Expectations and Marginal Likelihoods for Permutations
Description
Usage
Arguments
Value
Examples
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
1
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
1
2
expperm documentation built on May 29, 2019, 1:02 a.m.
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Description Usage Arguments Value Examples
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
1 |
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
1 2 |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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