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PRROC
View on CRAN: Click
here
Download and install PRROC package within the R console
Install from CRAN:
install.packages("PRROC")
Install from Github:
library("remotes")
install_github("cran/PRROC")
Install by package version:
library("remotes")
install_version("PRROC", "1.4")
Attach the package and use:
library("PRROC")
Maintained by
Jan Grau
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.PRROC . PRROC citation info . PRROC results . PRROC.pdf . PRROC: computing and visualizing precision-recall and receiver operating characteristic curves in R . PRROC_1.4.tar.gz . PRROC_1.4.zip . PRROC_1.4.zip . PRROC_1.4.zip . PRROC_1.4.tgz . PRROC_1.4.tgz . PRROC_1.4.tgz . PRROC_1.4.tgz . PRROC archive . https://CRAN.R-project.org/package=PRROC .
First Published: 2014-12-16
Latest Update: 2018-06-19
Description:
Computes the areas under the precision-recall (PR) and ROC curve for weighted (e.g., soft-labeled) and unweighted data. In contrast to other implementations, the interpolation between points of the PR curve is done by a non-linear piecewise function. In addition to the areas under the curves, the curves themselves can also be computed and plotted by a specific S3-method. References: Davis and Goadrich (2006) ; Keilwagen et al. (2014) ; Grau et al. (2015) .
How to cite:
Jan Grau (2014). PRROC: Precision-Recall and ROC Curves for Weighted and Unweighted Data. R package version 1.4, https://cran.r-project.org/web/packages/PRROC. Accessed 06 May. 2025.
Previous versions and publish date:
Other packages that cited PRROC R package
View PRROC citation profile
Other R packages that PRROC depends,
imports, suggests or enhances
Complete documentation for PRROC
Functions, R codes and Examples using
the PRROC R package
Some associated functions: PRROC-package . plot.PRROC . pr.curve . print.PRROC . roc.curve .
Some associated R codes: PRROC.R . Full PRROC package functions and examples
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