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'))

Peer review:

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 140 downloads 5 exports 35 dependencies

Last updated 3 months agofrom:15f6984a3e. Checks:1 OK, 6 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKDec 27 2024
R-4.5-winNOTEDec 31 2024
R-4.5-linuxNOTEDec 27 2024
R-4.4-winNOTEDec 31 2024
R-4.4-macNOTEDec 27 2024
R-4.3-winNOTEDec 31 2024
R-4.3-macNOTEDec 27 2024

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 Dec 27 2024.

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