get_dblCalls_ROC {scds} | R Documentation |
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).
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)