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_1.19.0.tgz(r-4.4-any)ROCpAI_1.19.0.tgz(r-4.3-any)
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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'))

Peer review:

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

On BioConductor:ROCpAI-1.19.0(bioc 3.21)ROCpAI-1.17.0(bioc 3.20)

softwarestatisticalmethodclassification

2.30 score 1 scripts 140 downloads 5 exports 35 dependencies

Last updated 23 days agofrom:15f6984a3e. Checks:ERROR: 1 WARNING: 6. Indexed: yes.

TargetResultDate
Doc / VignettesFAILOct 31 2024
R-4.5-winWARNINGOct 31 2024
R-4.5-linuxWARNINGOct 31 2024
R-4.4-winWARNINGOct 31 2024
R-4.4-macWARNINGOct 31 2024
R-4.3-winWARNINGOct 31 2024
R-4.3-macWARNINGOct 31 2024

Exports:mcpAUCmcpAUCbootpointsCurvetpAUCtpAUCboot

Dependencies:abindaskpassBiobaseBiocGenericsbootcrayoncurlDelayedArrayevaluatefissionGenomeInfoDbGenomeInfoDbDataGenomicRangeshighrhttrIRangesjsonliteknitrlatticeMatrixMatrixGenericsmatrixStatsmimeopensslR6S4ArraysS4VectorsSparseArraySummarizedExperimentsysUCSC.utilsxfunXVectoryamlzlibbioc