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
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reportROC_3.6.tgz(r-4.4-any)reportROC_3.6.tgz(r-4.3-any)
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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'))

Peer review:

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.

2.80 score 2 packages 35 scripts 595 downloads 3 mentions 1 exports 9 dependencies

Last updated 2 years agofrom:744a20a4f9. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 18 2024
R-4.5-winOKNov 18 2024
R-4.5-linuxOKNov 18 2024
R-4.4-winOKNov 18 2024
R-4.4-macOKNov 18 2024
R-4.3-winOKNov 18 2024
R-4.3-macOKNov 18 2024

Exports:reportROC

Dependencies:colorspacelatticelmtestMASSplyrpROCRcppvcdzoo