Quantify the overlap between gaussian distributions of the two group scores, to assess model efficiency (best models should not overlap, to prevent from false discovery).

1 | ```
OVL(means, sds, cutoff=1e-4, n=1e4)
``` |

`means` |
Numeric vector of two values, the means of the gaussian distributions. |

`sds` |
Numeric vector of two values, the standard deviations of the gaussian distributions. |

`cutoff` |
Single numeric value, minimal quantile for integration range definition (distributions will be considered between their |

`n` |
Single integer value, the amount of equi-distant points to use for the computation. The greater it is, the more precise the returned value will be. |

Returns the proportion of the overlap between the two gaussian distributions N1 and N2, i.e. `min(N1, N2) / (N1 + N2)`

.

Sylvain Mareschal

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