tpr {cutpointr} R Documentation

## Calculate true / false positive / negative rate

### Description

Calculate the true positive rate (tpr, equal to sensitivity and recall), the false positive rate (fpr, equal to fall-out), the true negative rate (tnr, equal to specificity), or the false negative rate (fnr) from true positives, false positives, true negatives and false negatives. The inputs must be vectors of equal length.

tpr = tp / (tp + fn)
fpr = fp / (fp + tn)
tnr = tn / (tn + fp)
fnr = fn / (fn + tp)

### Usage

tpr(tp, fn, ...)

fpr(fp, tn, ...)

tnr(fp, tn, ...)

fnr(tp, fn, ...)


### Arguments

 tp (numeric) number of true positives. fn (numeric) number of false negatives. ... for capturing additional arguments passed by method. fp (numeric) number of false positives. tn (numeric) number of true negatives.

Other metric functions: F1_score(), Jaccard(), abs_d_ppv_npv(), abs_d_sens_spec(), accuracy(), cohens_kappa(), cutpoint(), false_omission_rate(), metric_constrain(), misclassification_cost(), npv(), odds_ratio(), p_chisquared(), plr(), ppv(), precision(), prod_ppv_npv(), prod_sens_spec(), recall(), risk_ratio(), roc01(), sensitivity(), specificity(), sum_ppv_npv(), sum_sens_spec(), total_utility(), tp(), youden()
tpr(10, 5, 20, 10)