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.

1 exports 1.45 score 9 dependencies 2 dependents 3 mentions 30 scripts 704 downloads

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

TargetResultDate
Doc / VignettesOKAug 20 2024
R-4.5-winOKAug 20 2024
R-4.5-linuxOKAug 20 2024
R-4.4-winOKAug 20 2024
R-4.4-macOKAug 20 2024
R-4.3-winOKAug 20 2024
R-4.3-macOKAug 20 2024

Exports:reportROC

Dependencies:colorspacelatticelmtestMASSplyrpROCRcppvcdzoo