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).

Version: 3.4
Imports: pROC
Published: 2019-07-29
Author: Zhicheng Du, Yuantao Hao
Maintainer: Zhicheng Du <dgdzc at>
License: GPL-3
NeedsCompilation: no
CRAN checks: reportROC results


Reference manual: reportROC.pdf
Package source: reportROC_3.4.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release: reportROC_3.4.tgz, r-oldrel: reportROC_3.4.tgz
Old sources: reportROC archive


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