A method to calculate the overlap coefficient between two empirical distributions (that can be used as a measure of similarity between two samples).

overlap( x, y, method_density = "kernel", method_auc = "trapezoid", precision = 2^10, extend = TRUE, extend_scale = 0.1, ... )

x | Vector of x values. |
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y | Vector of x values. |

method_density | Density estimation method. See |

method_auc | Area Under the Curve (AUC) estimation method. See |

precision | Number of points of density data. See the |

extend | Extend the range of the x axis by a factor of |

extend_scale | Ratio of range by which to extend the x axis. A value of |

... | Currently not used. |

library(bayestestR) x <- distribution_normal(1000, 2, 0.5) y <- distribution_normal(1000, 0, 1) overlap(x, y)#> # Overlap #> #> 0.19