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PRROC  

Precision-Recall and ROC Curves for Weighted and Unweighted Data
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]
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:
1.0 (2014-12-16 22:35), 1.1 (2015-02-26 02:14), 1.3.1 (2018-06-19 12:42), 1.3 (2017-04-21 20:46)
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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