Description Usage Arguments Value

Given class probabilities (or scores) discriminating real data from artificial doublets, derive doublet calls. Based on selecting a ROC cutoff, see *The Inconsistency of ‘‘Optimal’’ Cutpoints Obtained using Two Criteria basedon the Receiver Operating Characteristic Curve*, (doi).

1 | ```
get_dblCalls_ROC(scrs_real, scrs_sim, rel_loss = 1)
``` |

`scrs_real` |
numeric vector, the scores for the real/original data |

`scrs_sim` |
numeric vector, the scores for the artificial doublets |

`rel_loss` |
numeric scalar, relative weight of a false positive classification compared with a false negative. Default:1 (same loss for fp and fn). |

numeric, vector containing the (estimated) number of doublets, the score threshold and the fraction of artificial doublets missed (false negative rate, of sorts)

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