Package: ROCpAI 1.17.0

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]

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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-1.17.0(bioc 3.20)ROCpAI-1.16.0(bioc 3.19)

bioconductor-package

5 exports 0.49 score 35 dependencies

Last updated 2 months agofrom:f0060fe439

Exports:mcpAUC mcpAUCboot pointsCurve tpAUC tpAUCboot

Dependencies:abind askpass Biobase BiocGenerics boot crayon curl DelayedArray evaluate fission GenomeInfoDb GenomeInfoDbData GenomicRanges highr httr IRanges jsonlite knitr lattice Matrix MatrixGenerics matrixStats mime openssl R6 S4Arrays S4Vectors SparseArray SummarizedExperiment sys UCSC.utils xfun XVector yaml zlibbioc

ROCpAI: ROC Partial Area Indexes for evaluating classifiers

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

Rendered fromvignettes.Rmdusingknitr::rmarkdownon Jun 30 2024.

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

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Clasification of area under ROC curve following McClish method	mcpAUC
mcpAUCboot	mcpAUCboot
Points of the ROC curve	pointsCurve
Tigher partial area under the ROC curve	tpAUC
tpAUCboot	tpAUCboot