Description Usage Arguments Value Author(s) See Also

Function selects the most optimal value of alpha parameter according to pAUC.
For each of possible alphas the pAUC is computed as a measure of the separabilty of two distributions of similarity score: random and subsampled (prepared by function `RandomScore`

.
Alpha with maximal pAUC is selected.

1 | ```
selectAlpha(alpha, subsample, random)
``` |

`alpha` |
Vector of possible alphas |

`subsample` |
Similarity scores after subsampling |

`random` |
Similarity scores after permuting class labels |

A list:

`alpha` |
selected value of alpha |

`pAUC` |
pAUC for all alphas achivied |

Ivana Ihnatova

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