Package: ROCpAI 1.19.0

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_1.19.0.tar.gz
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ROCpAI.pdf |ROCpAI.html✨
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-1.19.0(bioc 3.21)ROCpAI-1.18.0(bioc 3.20)

softwarestatisticalmethodclassification

3.30 score 2 scripts 228 downloads 5 exports 35 dependencies

Last updated 5 months agofrom:15f6984a3e. Checks:1 OK, 8 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 27 2025
R-4.5-winNOTEMar 27 2025
R-4.5-macNOTEMar 27 2025
R-4.5-linuxNOTEMar 27 2025
R-4.4-winNOTEMar 27 2025
R-4.4-macNOTEMar 27 2025
R-4.4-linuxNOTEMar 27 2025
R-4.3-winNOTEMar 27 2025
R-4.3-macNOTEMar 27 2025

Exports:mcpAUCmcpAUCbootpointsCurvetpAUCtpAUCboot

Dependencies:abindaskpassBiobaseBiocGenericsbootcrayoncurlDelayedArrayevaluatefissiongenericsGenomeInfoDbGenomeInfoDbDataGenomicRangeshighrhttrIRangesjsonliteknitrlatticeMatrixMatrixGenericsmatrixStatsmimeopensslR6S4ArraysS4VectorsSparseArraySummarizedExperimentsysUCSC.utilsxfunXVectoryaml

ROCpAI: ROC Partial Area Indexes for evaluating classifiers

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

Rendered fromvignettes.Rmdusingknitr::rmarkdownon Mar 27 2025.

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