Bioconductor version: Release (3.16)
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")
):
To install this package, start R (version "4.2") 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.
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("ROCpAI")
HTML | R Script | ROC Partial Area Indexes for evaluating classifiers |
Reference Manual |
biocViews | Classification, Software, StatisticalMethod |
Version | 1.10.0 |
In Bioconductor since | BioC 3.11 (R-4.0) (3 years) |
License | GPL-3 |
Depends | boot, SummarizedExperiment, fission, knitr, methods |
Imports | |
LinkingTo | |
Suggests | BiocStyle, knitr, rmarkdown |
SystemRequirements | |
Enhances | |
URL | |
BugReports | https://github.com/juanpegarcia/ROCpAI/tree/master/issues |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | ROCpAI_1.10.0.tar.gz |
Windows Binary | ROCpAI_1.10.0.zip (64-bit only) |
macOS Binary (x86_64) | ROCpAI_1.10.0.tgz |
macOS Binary (arm64) | ROCpAI_1.10.0.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 |
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