Package: ROCS 1.4

Tianwei Yu

ROCS: Receiver Operating Characteristics Surface

Plots the Receiver Operating Characteristics Surface for high-throughput class-skewed data, calculates the Volume under the Surface (VUS) and the FDR-Controlled Area Under the Curve (FCAUC), and conducts tests to compare two ROC surfaces. Computes eROC curve and the corresponding AUC for imperfect reference standard.

Authors:Tianwei Yu [aut, cre], Peizhou Liao [ctb]

ROCS_1.4.tar.gz
ROCS_1.4.tar.gz(r-4.7-any)ROCS_1.4.tar.gz(r-4.6-any)
ROCS_1.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
ROCS/json (API)

# Install 'ROCS' in R:
install.packages('ROCS', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

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

2.00 score 8 scripts 150 downloads 125 mentions 6 exports 29 dependencies

Last updated from:9368f0f470. Checks:4 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK102
source / vignettesOK245
linux-release-x86_64OK113
wasm-releaseOK295

Exports:e.rocfcauc.fptpfcauc.xrocs.fptprocs.xtest.rocs

Dependencies:base64encbslibcachemclidigestevaluatefastmapfontawesomefshighrhtmltoolshtmlwidgetsjquerylibjsonliteknitrlifecyclemagrittrmemoisemimepoibinR6rappdirsrglrlangrmarkdownsasstinytexxfunyaml