ROCpAI
This is the development version of ROCpAI; for the stable release version, see ROCpAI.
Receiver Operating Characteristic Partial Area Indexes for evaluating classifiers
Bioconductor version: Development (3.21)
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("ROCpAI")
):
Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("ROCpAI")
For older versions of R, please refer to the appropriate Bioconductor release.
Documentation
Reference Manual |
Details
biocViews | Classification, Software, StatisticalMethod |
Version | 1.19.0 |
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) | |
Source Repository | git 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/ |
Package Downloads Report | Download Stats |