Package: reportROC 3.6

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).

Authors:Zhicheng Du, Yuantao Hao

reportROC_3.6.tar.gz
reportROC_3.6.zip(r-4.5)reportROC_3.6.zip(r-4.4)reportROC_3.6.zip(r-4.3)
reportROC_3.6.tgz(r-4.5-any)reportROC_3.6.tgz(r-4.4-any)reportROC_3.6.tgz(r-4.3-any)
reportROC_3.6.tar.gz(r-4.5-noble)reportROC_3.6.tar.gz(r-4.4-noble)
reportROC_3.6.tgz(r-4.4-emscripten)reportROC_3.6.tgz(r-4.3-emscripten)
reportROC.pdf |reportROC.html
reportROC/json (API)

# Install 'reportROC' in R:
install.packages('reportROC', repos = c('https://marsdu1989.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • aSAH - Subarachnoid hemorrhage data

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.77 score 2 packages 33 scripts 612 downloads 3 mentions 1 exports 9 dependencies

Last updated 3 years agofrom:744a20a4f9. Checks:8 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 16 2025
R-4.5-winOKFeb 16 2025
R-4.5-macOKFeb 16 2025
R-4.5-linuxOKFeb 16 2025
R-4.4-winOKFeb 16 2025
R-4.4-macOKFeb 16 2025
R-4.3-winOKFeb 16 2025
R-4.3-macOKFeb 16 2025

Exports:reportROC

Dependencies:colorspacelatticelmtestMASSplyrpROCRcppvcdzoo