risk_ratio: Calculate the risk ratio (relative risk)

In cutpointr: Determine and Evaluate Optimal Cutpoints in Binary Classification Tasks

Calculate the risk ratio (relative risk)

Description

Calculate the risk ratio (or relative risk) from true positives, false positives, true negatives and false negatives. The inputs must be vectors of equal length.

risk_ratio = (tp / (tp + fn)) / (fp / (fp + tn))

Usage

risk_ratio(tp, fp, tn, fn, ...)

Arguments

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

See Also

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(), roc01(), sensitivity(), specificity(), sum_ppv_npv(), sum_sens_spec(), total_utility(), tpr(), tp(), youden()

Examples

risk_ratio(10, 5, 20, 10)
risk_ratio(c(10, 8), c(5, 7), c(20, 12), c(10, 18))

cutpointr documentation built on April 14, 2022, 1:06 a.m.