reportROC: 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).

Getting started

Package details

AuthorZhicheng Du, Yuantao Hao
MaintainerZhicheng Du<dgdzc@hotmail.com>
LicenseGPL-3
Version3.6
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("reportROC")

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reportROC documentation built on June 17, 2022, 5:06 p.m.