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ROCpAI

Receiver Operating Characteristic Partial Area Indexes for evaluating classifiers

Bioconductor version: Release (3.17)

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-MarĂ­a Vivo [aut]

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

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

Installation

To install this package, start R (version "4.3") 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 Manual PDF

Details

biocViews Classification, Software, StatisticalMethod
Version 1.12.0
In Bioconductor since BioC 3.11 (R-4.0) (3.5 years)
License GPL-3
Depends boot, SummarizedExperiment, fission, knitr, methods
Imports
Linking To
Suggests BiocStyle, knitr, rmarkdown
System Requirements
Enhances
URL
Bug Reports https://github.com/juanpegarcia/ROCpAI/tree/master/issues
See More
Depends On Me
Imports Me
Suggests Me
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Build Report  

Package Archives

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

Source Package ROCpAI_1.12.0.tar.gz
Windows Binary ROCpAI_1.12.0.zip
macOS Binary (x86_64) ROCpAI_1.12.0.tgz
macOS Binary (arm64) ROCpAI_1.12.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/ROCpAI
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/ROCpAI
Bioc Package Browser https://code.bioconductor.org/browse/ROCpAI/
Package Short Url https://bioconductor.org/packages/ROCpAI/
Package Downloads Report Download Stats