roc_performance_measures: [!!!] Performance measures

In GegznaV/multiROC: Tools for ROC Analyis

Description

Calculate various performance measures for classificatory analysis
[!!!] (...The description is incomplete...)

Usage

calculate_acc(TP, FN, FP, TN)

roc_calculate_acc(obj)

calculate_bac(SE, SP)

roc_calculate_bac(obj)

calculate_auc(SE, SP)

roc_calculate_auc(obj)

calculate_npv(TN, FN)

roc_calculate_npv(obj)

calculate_ppv(TP, FP)

roc_calculate_ppv(obj)

calculate_sensitivity(TP, FN)

roc_calculate_se(obj)

calculate_specificity(TN, FP)

roc_calculate_sp(obj)

calculate_youdens_j(SE, SP)

roc_youdens_j(obj)

calculate_kappa(TP, FN, FP, TN)

roc_calculate_kappa(obj)

calculate_wkappa(TP, FN, FP, TN)

roc_calculate_wkappa(obj)

Arguments

TP	(numeric) Number of true positives.
FN	(numeric) Number of false negatives.
FP	(numeric) Number of false positives.
TN	(numeric) Number of true negatives.
obj	Either an roc_result_list or an roc_results object.
SE	(numeric) Vector of sensitivities.
SP	(numeric) Vector of specificities

Author(s)

Vilmantas Gegzna

See Also

Other functions for ROC: access_elements, calculate_performance(), print.as_str(), roc_predict()

GegznaV/multiROC documentation built on Sept. 15, 2020, 10:33 a.m.