R Observatory: Metrics for precrec version 0.24.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

precrec

0.24.0Package record

Calculate Accurate Precision-Recall and ROC (Receiver Operator Characteristics) Curves

3packages dependsuggested by 5

49.7Kdownloads / year

96.6%test coverage

13/13flavors OK

Overview

About

Maintained by Takaya SaitoCRAN page ↗GitHub ↗Website ↗Issues ↗

Accurate calculations and visualization of precision-recall and ROC (Receiver Operator Characteristics) curves. Saito and Rehmsmeier (2015) doi:10.1371/journal.pone.0118432.

Changes in 0.24.0

New format_points() reconstructs per-instance scores and labels from a table of performance values calculated at a set of thresholds - true and false positive rates, or recall and precision - so that a summary table can reach evalmod() and mmdata() after all. The rows between two thresholds become instances that share a score, and the even spread precrec already applies to a tied run is the non-linear interpolation of Davis and Goadrich (2006), so nothing new was needed in the curve code and a complete table round-trips exactly. np and nn are required: rates do not carry the class totals, and the totals also place the chance-level baseline. The interpolation is exact only across a gap one instance wide, so an area read off a coarse table remains an estimate - format_points() says so when it runs, and *Prepare your data* says so at more length. Requested in #6 and #15, and tracked in #32.

Show all changes in 0.24.0Hide the rest of the changes in 0.24.0

*Prepare your data* replaces its section on what cannot be used as input with one on what a table of summary points can and cannot give you.

From NEWS.md in the release

Install

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

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

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

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("evalclass/precrec")

Development version from evalclass/precrec. Installs pak first if it is not already available.

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-precrec

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-precrec

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-precrec

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: 6.0 min · r-devel-linux-x86_64-debian-clang

Status changes

OK13 OK2026-09-29
ERROR12 OK, 1 ERROR2026-09-25
OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK13 OK2026-06-09

Show 4 earlier changesHide 4 earlier changes

NOTE12 OK, 1 NOTE2026-06-08
OK14 OK2026-04-22
ERROR13 OK, 1 ERROR2026-04-18
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.24.0

READMEYes · 837 wordsVignettesYes · 1 · dynamicNEWSYes · 100% structured · mentions 0.24.0Citation fileYes · cites a publicationWebsiteYes · pkgdown

The repository also keeps web-only articles.

Help pages: 36includes a package overview page
Examples that run: 82%23 run in a plain check · 5 never run
Exported functions with examples: 100%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 3%

Vignettes (1)

Get started with precrec

How these are measured

Downloads

49.7K

CRAN downloads in the past year

Rank #1,957 · ~136/day · ~4.1K/mo

Releases R versions

Daily download trend is not available in this view yet.

3.4K30 days

9.6K90 days

49.7K1 year

Compare downloads with other packages →

Also on2.8K r2u4 autocran7.8K conda_forge62 bioconda

How downloads are counted

Repository

evalclass/precrec ↗Organization: evalclass

47Stars

5Forks

0Open issues

0Open PRs

31Releases

772Commits

5Commit identities

License file reads as GPL-3.0 · 772 commits · Last activity 2026-09-14 · +2.2% stars, 30d

Responsiveness

How these are sampled

PRs merged (all time): 100%
Median days to close, 50 most recently updated closed issues: 32
Median days to close, 50 most recently updated closed PRs: 21

Stars over time

2024-06-21 · 442026-10-15 · 47

How these are measured

PracticesBeta

12 development-tooling and community-health practices detected across 7 families in the upstream repository

Checks run against github.com/evalclass/precrec on 2026-10-18.

Continuous integration (2)

GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

Docs source (4)

README.Rmdpkgdown

GitHub Pages site last deployed 2026-09-14 · The repository has a site deploy workflow

pkgdown site last built 2026-09-14, before release 0.24.0 (2026-09-15)

Coverage (1)

Coverage reporting

Reproducibility and dev environment (1)

data-raw/

Show all practicesHide 3 practices

CRAN release process (1)

cran-comments.md

Lint, format, editor (2)

lintrRStudio project

Git structural (1)

.gitattributes

How this is detected·Detection ruleset v3 (2026-09-26)

AI coding toolsBeta

This repository shows signs of AI coding tools.

Claude Codefirst seen 2026-08-29
Seen in the repository: .claude, CLAUDE.md
Named in .Rbuildignore: .claude, CLAUDE.md
Commits: at least 108 crediting it in the message

Models named in its commits

Claude Opus 5100 commits · Aug to Sep 2026

Some of these counts are a minimum, because the search stopped before the oldest commits.

Counts are commits, not lines of code. Commits by a tool's accounts count once across all of its accounts. Commits crediting it are the largest count among its credit lines, a minimum.How this is detected·Detection ruleset v4 (updated 2026-09-27)

Dependencies

Declared dependencies

14 external dependencies (excludes base and recommended)

Installing precrec adds 22 packages (11 with compiled code, 22 MB of source tarballs). Heaviest: ggplot2 6.0 MB, data.table 5.7 MB, Rcpp 1.8 MB.

Depends (1)

R >= 4.1

Imports (13)

Rcpp ggplot2 checkmate cligridgridExtramethodsdata.table (>= 1.10.4)withrgraphicsrlang (>= 1.0.0)statsutils

LinkingTo (1)

Rcpp

Suggests (5)

testthat knitr rmarkdown patchwork spelling

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

3direct

0indirect

Imports 3

Suggested by 5

Depends, Imports or LinkingTo, most downloaded first

prcbench aggreCAT usefun

Suggests, most downloaded first

mlr3viz explainer inferCSN lame simphony

How these are counted

Code & Tests

Datasets

People & History

People (2)

Takaya Saito

Author, Maintainer since 0.1.1 (2015)

Marc Rehmsmeier

Author

Releases (28)

Pick two releases to compare their code metrics.

0.24.0Latest
record
2026-09-15 · current release · diff ↗ ·
added 12 exports
auc_boot, auc_delong, auc_diff, average_precision, best_cutoff, classification_report, format_points, metric_curve, metric_table, prbe, prob_metrics, prob_metrics_ci
R
R 4.6.0 released · 2026-04-24
0.14.5
record
2025-05-15 · diff ↗
R
R 4.5.0 released · 2025-04-11
R
R 4.4.0 released · 2024-04-24
0.14.4
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2023-10-12 · diff ↗
R
R 4.3.0 released · 2023-04-21
0.14.2
record
2023-03-12 · diff ↗
0.14.1
record
2023-01-08 · diff ↗
R
R 4.2.0 released · 2022-04-22
0.12.9
record
2022-03-10 · diff ↗
0.12.8
record
2022-01-31 · diff ↗
0.12.7
record
2021-05-31 · diff ↗
R
R 4.1.0 released · 2021-05-18
0.12.5
record
2021-04-06 · diff ↗
0.12.1
record
2021-02-02 · diff ↗

Show 24 earlier eventsHide 24 earlier events

0.12.0
record
2021-01-07 · diff ↗
0.11.2
record
2020-05-28 · diff ↗
0.11.1
record
2020-05-15 · diff ↗
R
R 4.0.0 released · 2020-04-24
0.11
record
2020-01-09 · diff ↗ ·
added 1 export
auc_ci
R
R 3.6.0 released · 2019-04-26
0.10.1
record
2019-04-12 · diff ↗
0.10
record
2019-03-05 · diff ↗
R
R 3.5.0 released · 2018-04-23
0.9.1
record
2017-08-23 · diff ↗ ·
added 1 export
format_nfold
0.8.0
record
2017-06-23 · diff ↗
R
R 3.4.0 released · 2017-04-21
0.7.1
record
2017-04-07 · diff ↗
0.6.2
record
2017-01-18 · diff ↗
0.6.1
record
2016-11-22 · diff ↗
0.5.2
record
2016-10-11 · diff ↗
0.5.0
record
2016-09-09 · diff ↗ ·
added 2 exports
part, pauc
0.4.0
record
2016-06-24 · diff ↗
R
R 3.3.0 released · 2016-05-03
0.3.2
record
2016-04-13 · diff ↗
0.3.1
record
2016-03-01 · diff ↗
0.2.0
record
2015-12-21 · diff ↗
0.1.1
record
2015-12-04
R
R 3.2.0 released · 2015-04-16

Package metadata

First published: 2015-12-04
Total releases: 28 / 11 yrs
License: GPL-3 OSI
Minimum R: ≥ 4.1
Bundled data: 564 KB / 7 files
Download size: 954 KB

Cite

Cite this package

Run in R for the authors' entry:

citation("precrec")

The package provides a citation file, so citation() returns the authors' own entry.

It points to 10.1093/bioinformatics/btw570.

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 precrec version 0.24.0 [Data set]. HJJB, LLC. Data release v2026-10-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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