Description Usage Arguments References Examples

Local Nearest Neighbor (LNN) mutual information estimator by Gao et al. 2017. This estimator uses the LNN entropy (`lnn_entropy`

) estimator into the mutual information identity.

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`data` |
Matrix of sample observations, each row is an observation. |

`splits` |
A vector that describes which sets of columns in |

`k` |
Order of the local kNN bandwidth selection. |

`tr` |
Order of truncation (number of neighbors to include in the local density estimation). |

Gao, W., Oh, S., & Viswanath, P. (2017). Density functional estimators with k-nearest neighbor bandwidths. IEEE International Symposium on Information Theory - Proceedings, 1, 1351–1355.

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