An Easy Way to Report ROC Analysis

Provides an easy way to report the results of ROC analysis, including: 1. an ROC curve. 2. the value of Cutoff, AUC (Area Under Curve), ACC (accuracy), SEN (sensitivity), SPE (specificity), PLR (positive likelihood ratio), NLR (negative likelihood ratio), PPV (positive predictive value), NPV (negative predictive value), PPA (percentage of positive accordance), NPA (percentage of negative accordance), TPA (percentage of total accordance), KAPPA (kappa value).


Reference manual

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install.packages("reportROC")

3.6 by Zhicheng Du, 4 years ago


Browse source code at https://github.com/cran/reportROC


Authors: Zhicheng Du , Yuantao Hao


Documentation:   PDF Manual  


GPL-3 license


Imports pROC, vcd, methods


Depended on by ROCpsych.


See at CRAN