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-4.7-any)reportROC_3.6.zip(r-4.6-any)reportROC_3.6.zip(r-4.5-any)
reportROC_3.6.tgz(r-4.6-any)reportROC_3.6.tgz(r-4.5-any)
reportROC_3.6.tar.gz(r-4.7-any)reportROC_3.6.tar.gz(r-4.6-any)
reportROC_3.6.tgz(r-4.6-emscripten)
manual.pdf |manual.html
DESCRIPTION
card.svg |card.png
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:

Conda:

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

2.84 score 2 packages 38 scripts 352 downloads 3 mentions 1 exports 8 dependencies

Last updated from:744a20a4f9. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK258
source / vignettesOK158
linux-release-x86_64OK218
macos-release-arm64OK90
macos-oldrel-arm64OK87
windows-develOK78
windows-releaseOK95
windows-oldrelOK71
wasm-releaseOK100

Exports:reportROC

Dependencies:colorspacelatticelmtestMASSpROCRcppvcdzoo