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ROCpAI

This is the released version of ROCpAI; for the devel version, see ROCpAI.

All versions 3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13, 3.12, 3.11

Receiver Operating Characteristic Partial Area Indexes for evaluating classifiers


Bioconductor version: Release (3.23)

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.

Author: Juan-Pedro Garcia [aut, cre], Manuel Franco [aut], Juana-María Vivo [aut]

Maintainer: Juan-Pedro Garcia <juanpedro.garcia4 at um.es>

Citation (from within R, enter citation("ROCpAI")):

Juan-Pedro Garcia, Manuel Franco, Juana-María Vivo. ROCpAI: Receiver Operating Characteristic Partial Area Indexes for evaluating classifiers. doi:10.18129/B9.bioc.ROCpAI, R package version 1.24.0, https://bioconductor.org/packages/ROCpAI.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") and enter:

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("ROCpAI")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("ROCpAI")
ROC Partial Area Indexes for evaluating classifiers HTML R Script
Reference ManualPDF

Details

biocViews Classification, Software, StatisticalMethod
Version1.24.0
In Bioconductor sinceBioC 3.11 (R-4.0) (6.5 years)
License GPL-3
Depends boot, SummarizedExperiment, fission, knitr, methods
Imports
System Requirements
URL
Bug Reportshttps://github.com/juanpegarcia/ROCpAI/tree/master/issues
See More
Suggests BiocStyle, knitr, rmarkdown
Linking To
Enhances
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report Build Report, r-universe

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package ROCpAI_1.24.0.tar.gz
Windows Binary (x86_64) ROCpAI_1.24.0.zip (64-bit only)
macOS Binary (big-sur-x86_64) ROCpAI_1.24.0.tgz
macOS Binary (sonoma-arm64) ROCpAI_1.24.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/ROCpAI
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/ROCpAI
Package Short Url https://bioconductor.org/packages/ROCpAI/
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