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 1 scripts 166 downloads 5 exports 35 dependencies

Last updated 4 months agofrom:15f6984a3e. Checks:1 OK, 6 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKJan 26 2025
R-4.5-winNOTEJan 26 2025
R-4.5-linuxNOTEJan 26 2025
R-4.4-winNOTEJan 26 2025
R-4.4-macNOTEJan 26 2025
R-4.3-winNOTEJan 26 2025
R-4.3-macNOTEJan 26 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 Jan 26 2025.

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