get_dblCalls_ROC {scds}R Documentation

Derive doublet calls from classification probabilities

Description

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).

Usage

get_dblCalls_ROC(scrs_real, scrs_sim, rel_loss = 1)

Arguments

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).

Value

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


[Package scds version 1.8.0 Index]