Similarity and Distance Quantification Between Probability Functions

binned.kernel.est | Kernel Density Estimation |

CE | Shannon's Conditional-Entropy H(X | Y) |

distance | Distances between Probability Density Functions |

dist.diversity | Distance Diversity between Probability Density Functions |

estimate.probability | Estimate Probability Vectors From Count Vectors |

getDistMethods | Get method names for 'distance' |

gJSD | Generalized Jensen-Shannon Divergence |

H | Shannon's Entropy H(X) |

JE | Shannon's Joint-Entropy H(X,Y) |

JSD | Jensen-Shannon Divergence |

KL | Kullback-Leibler Divergence |

lin.cor | Linear Correlation |

MI | Shannon's Mutual Information I(X,Y) |

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