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).

Version:	3.6
Imports:	pROC, vcd, methods
Published:	2022-06-17
DOI:	10.32614/CRAN.package.reportROC
Author:	Zhicheng Du, Yuantao Hao
Maintainer:	Zhicheng Du <dgdzc at hotmail.com>
License:	GPL-3
NeedsCompilation:	no
CRAN checks:	reportROC results

Documentation:

Reference manual:

reportROC.html , reportROC.pdf

Downloads:

Package source:	reportROC_3.6.tar.gz
Windows binaries:	r-devel: reportROC_3.6.zip, r-release: reportROC_3.6.zip, r-oldrel: reportROC_3.6.zip
macOS binaries:	r-release (arm64): reportROC_3.6.tgz, r-oldrel (arm64): reportROC_3.6.tgz, r-release (x86_64): reportROC_3.6.tgz, r-oldrel (x86_64): reportROC_3.6.tgz
Old sources:	reportROC archive

Reverse dependencies:

Reverse depends:	ROCpsych
Reverse imports:	PDATK

Linking:

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