Package: ROCpAI 1.25.0

Juan-Pedro Garcia

ROCpAI: Receiver Operating Characteristic Partial Area Indexes for evaluating classifiers

The package analyzes the Curve ROC, identificates it among different types of Curve ROC and calculates the area under de curve through the method that is most accuracy. This package is able to standarizate proper and improper pAUC.

Authors:Juan-Pedro Garcia [aut, cre], Manuel Franco [aut], Juana-María Vivo [aut]

ROCpAI_1.25.0.tar.gz
ROCpAI_1.25.0.zip(r-4.7)ROCpAI_1.25.0.zip(r-4.6)ROCpAI_1.25.0.zip(r-4.5)
ROCpAI_1.25.0.tgz(r-4.6-any)ROCpAI_1.25.0.tgz(r-4.5-any)
ROCpAI_1.25.0.tar.gz(r-4.7-any)ROCpAI_1.25.0.tar.gz(r-4.6-any)
ROCpAI_1.25.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
ROCpAI/json (API)

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

Bug tracker:https://github.com/juanpegarcia/rocpai/issues

On BioConductor:ROCpAI-1.25.0(bioc 3.24)ROCpAI-1.24.0(bioc 3.23)

softwarestatisticalmethodclassification

3.30 score 5 scripts 308 downloads 5 exports 24 dependencies

Last updated from:98cce8ca3e. Checks:8 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
bioc-checksNOTE176
linux-devel-x86_64NOTE265
source / vignettesOK214
linux-release-x86_64NOTE300
macos-release-arm64NOTE175
macos-oldrel-arm64NOTE148
windows-develNOTE198
windows-releaseNOTE194
windows-oldrelNOTE168
wasm-releaseOK145

Exports:mcpAUCmcpAUCbootpointsCurvetpAUCtpAUCboot

Dependencies:abindBiobaseBiocGenericsbootDelayedArrayevaluatefissiongenericsGenomicRangeshighrIRangesknitrlatticeMatrixMatrixGenericsmatrixStatsS4ArraysS4VectorsSeqinfoSparseArraySummarizedExperimentxfunXVectoryaml

ROCpAI: ROC Partial Area Indexes for evaluating classifiers

Manuel Franco, Juana-María Vivo, Juan Pedro García-Ortiz

Rendered fromvignettes.Rmdusingknitr::rmarkdownon May 20 2026.

Last update: 2020-03-04
Started: 2020-03-04