ROCpAI
Receiver Operating Characteristic Partial Area Indexes for evaluating classifiers
Bioconductor version: Release (3.20)
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")):
Installation
To install this package, start R (version "4.4") 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
| Reference Manual |
Details
| biocViews | Classification, Software, StatisticalMethod |
| Version | 1.17.0 |
| In Bioconductor since | BioC 3.11 (R-4.0) (4.5 years) |
| License | GPL-3 |
| Depends | boot, SummarizedExperiment, fission, knitr, methods |
| Imports | |
| System Requirements | |
| URL | |
| Bug Reports | https://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 |
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | |
| Windows Binary (x86_64) | |
| macOS Binary (x86_64) | |
| macOS Binary (arm64) | ROCpAI_1.17.0.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 |