Description Usage Arguments Details Value Author(s) References See Also Examples

This function empirically estimates the Mutual Information from a table of counts using the observed frequencies.

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`freqs.table` |
a table of counts. |

`method` |
a character determining if the Mutual Information should be normalized. |

The mutual information estimation is computed from the observed frequencies through a plugin estimator based on entropy.

The plugin estimator is I(X, Y) = H (X) + H(Y) - H(X, Y), where H() is the entropy computed with `entropyData`

.

Mutual information estimate.

Gilles Kratzer

Cover, Thomas M, and Joy A Thomas. (2012). "Elements of Information Theory". John Wiley & Sons.

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