R Observatory: Metrics for PRROC version 1.4

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

PRROC

1.4Package record

Precision-Recall and ROC Curves for Weighted and Unweighted Data

17packages dependsuggested by 5

369.7Kdownloads / year

51.8%test coverage

13/13flavors OK

Overview

About

Maintained by Jan GrauCRAN page ↗

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) doi:10.1145/1143844.1143874; Keilwagen et al. (2014) doi:10.1371/journal.pone.0092209; Grau et al. (2015) doi:10.1093/bioinformatics/btv153.

Install

R (CRAN)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("PRROC", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-prroc

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-PRROC

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-PRROC

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13OK

CRAN check page ↗

Slowest check: 1.5 min · r-oldrel-macos-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.4

READMENoVignettesYes · 1 · dynamicNEWSNoCitation fileYes · cites a publicationWebsitenot declared in DESCRIPTION

Help pages: 6includes a package overview page
Examples that run: 100%6 run in a plain check
Exported functions with examples: 100%
Documented parameters: 90%
Return-value docs: 67%
Help pages citing references: 50%

Vignettes (1)

PRROC: computing and visualizing precision-recall and receiver operating characteristic curves in R PDF

How these are measured

Downloads

369.7K

CRAN downloads in the past year

Rank #752 · ~1K/day · ~30.8K/mo

Releases R versions

Daily download trend is not available in this view yet.

18.5K30 days

66.3K90 days

369.7K1 year

Compare downloads with other packages →

Also on31.1K r2u6 autocran36.7K conda_forge281 bioconda148 c2d4u

How downloads are counted

Dependencies

Declared dependencies

4 external dependencies (excludes base and recommended)

Installing PRROC adds 1 package (1 with compiled code, 766 KB of source tarballs). Heaviest: rlang 766 KB.

Depends (1)

rlang

Imports (0)

none

LinkingTo (0)

none

Suggests (3)

testthat ggplot2 ROCR

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

17direct

53indirect

Imports 17

Suggested by 5

Show all 22 packagesHide all 22 packages

Depends, Imports or LinkingTo, most downloaded first

mlr3measures PatientLevelPrediction E2E biospear prcbench immunaut riskscores autoFlagR ICBioMark GroupBN usefun PEAXAI DDESONN priorityelasticnet TSLA simtrait dagHMM

Suggests, most downloaded first

WeightedROC featR bioLeak PheVis BioMoR

How these are counted

Code & Tests

People & History

People (2)

Jan Grau

Author, Maintainer since 1.0 (2014)

Jens Keilwagen

Author

Releases (5)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
R
R 4.5.0 released · 2025-04-11
1.4Latest
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2025-03-18 · current release · diff ↗
R
R 4.4.0 released · 2024-04-24
R
R 4.3.0 released · 2023-04-21
R
R 4.2.0 released · 2022-04-22
R
R 4.1.0 released · 2021-05-18
R
R 4.0.0 released · 2020-04-24
R
R 3.6.0 released · 2019-04-26
1.3.1
record
2018-06-19 · diff ↗
R
R 3.5.0 released · 2018-04-23
1.3
record
2017-04-21 · diff ↗
R
R 3.4.0 released · 2017-04-21
R
R 3.3.0 released · 2016-05-03
R
R 3.2.0 released · 2015-04-16
1.1
record
2015-02-26 · diff ↗

Show 2 earlier eventsHide 2 earlier events

1.0
record
2014-12-16
R
R 3.1.0 released · 2014-04-10

Package metadata

First published: 2014-12-16
Total releases: 5 / 12 yrs
License: GPL-3 OSI
Download size: 510 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("PRROC")

The package provides a citation file that builds its entry when R runs it. Run citation() to see it.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for PRROC version 1.4 [Data set]. HJJB, LLC. Data release v2026-10-20. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-20, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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