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 1.4.0 Index]