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Plots of the Empirical Attainment Function

0packages dependsuggested by 1
32.8Kdownloads / year
72.1%test coverage
13/13flavors OK

Overview

About

Computation and visualization of the empirical attainment function (EAF) for the analysis of random sets in multi-criterion optimization. M. López-Ibáñez, L. Paquete, and T. Stützle (2010) doi:10.1007/978-3-642-02538-9_9.

Changes in 2.5.2
  • Use gsl from Rtools >= 42 on Windows (contributed by @kalibera).

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 3.7 min · r-devel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK12 OK2026-04-25
  • NOTE11 OK, 3 NOTE2026-03-10
Advisories

none known

Documentation

In release 2.5.2
READMEYes · 1,067 wordsVignettesNoNEWSYes · 100% structured · mentions 2.5.2Citation fileYes · cites a publicationWebsiteYes · pkgdown
Help pages
26 (1 internal)includes a package overview page
Examples that run
92%24 run in a plain check · 1 only when donttest examples are enabled (R CMD check --as-cran) · 1 never run
Exported functions with examples
100%
Documented parameters
80%
Return-value docs
95%
Help pages citing references
50% with a bibliography file

Downloads

32.8K
CRAN downloads in the past year
Rank #2,439 · ~90/day · ~2.7K/mo
Daily download trend is not available in this view yet.
2.2K30 days
6.6K90 days
32.8K1 year
Compare downloads with other packages →
Also on387 r2u7 autocran17 c2d4u

Repository

17Stars
4Forks
2Open issues
0Open PRs
0Releases
449Commits
6Commit identities
multiobjective-optimizationreafeaf-differencessummary-attainment-surfaceshypervolumevisualizationepsilon
449 commits · Last activity 2025-03-28 · 0% stars, 30d
Responsiveness
How these are sampled
PRs merged (all time)
86%
Median days to close, 50 most recently updated closed issues
364
Median days to close, 50 most recently updated closed PRs
2

Stars over time

2025-03-13 · 172026-08-21 · 17
PracticesBeta

8 development-tooling and community-health practices detected across 5 families in the upstream repository

Checks run against github.com/mlopez-ibanez/eaf 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 (3)
pkgdown

GitHub Pages site last deployed 2025-03-28 · The repository has a site deploy workflow

Coverage (1)
Coverage reporting
Reproducibility and dev environment (1)
Makefile
Show all practicesHide 1 practice
CRAN release process (1)
cran-comments.md
How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies
8 external dependencies (excludes base and recommended)

Installing eaf adds 4 packages (2 with compiled code, 1.7 MB of source tarballs). Heaviest: rbibutils 1.1 MB, Rdpack 370 KB, matrixStats 207 KB.

Depends (1)
R >= 3.2
Imports (5)
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect
Suggested by 1
Suggests, most downloaded first

Datasets

People & History

People (6)
Author, Maintainer since 1.0 (2011)
Author · added in 1.8
Author · added in 2.0
Contributor · added in 1.9
Listed in earlier versions (2)
Marco Chiarandini.
no longer listed · 1.0 to 1.07
no longer listed · 1.0 to 1.9-1
Releases (18)

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
  • 2.5.2Latest
    record
    2025-03-28 · current release · diff ↗
  • 2.5.1
    record
    2024-08-20 · diff ↗
  • R
    R 4.4.0 released · 2024-04-24
  • 2.5
    record
    2023-11-28 · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • 2.4.1
    record
    2023-03-14 · diff ↗
  • 2.4
    record
    2023-01-12 · diff ↗
  • R
    R 4.2.0 released · 2022-04-22
  • 2.3
    record
    2021-12-21 · diff ↗ ·
    added 3 exports
    attsurf2df, pdf_crop, write_datasets
  • 2.2
    record
    2021-10-06 · diff ↗
  • R
    R 4.1.0 released · 2021-05-18
  • 2.1
    record
    2021-05-07 · diff ↗
  • 2.0
    record
    2021-02-09 · diff ↗ ·
    added 7 exports
    avg_hausdorff_dist, choose_eafdiff, choose_eafdiffplot, largest_eafdiff, total_whv_rect, whv_hype, whv_rect
  • R
    R 4.0.0 released · 2020-04-24
Show 20 earlier eventsHide 20 earlier events
  • 1.9-1
    record
    2020-03-05 · diff ↗
  • 1.9
    record
    2020-03-03 · diff ↗ ·
    added 15 exports
    eafdiff, epsilon_additive, epsilon_mult, filter_dominated, hv_contributions, hypervolume, igd, igd_plus, is_nondominated, normalise, pareto_rank, read_datasets, symDifPlot, vorobDev, vorobT
  • R
    R 3.6.0 released · 2019-04-26
  • R
    R 3.5.0 released · 2018-04-23
  • 1.8
    record
    2018-03-22 · diff ↗ ·
    removed 4 exports
    eafplot.formula, eafplot.list, eafplot.data.frame, eafplot.default
    added 1 export
    eafs
  • 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
  • 1.07
    record
    2015-01-07 · diff ↗
  • 1.06
    record
    2014-10-01 · diff ↗
  • R
    R 3.1.0 released · 2014-04-10
  • R
    R 3.0.0 released · 2013-04-03
  • 1.05
    record
    2013-02-20 · diff ↗
  • R
    R 2.15.0 released · 2012-03-30
  • 1.04
    record
    2012-01-10 · diff ↗
  • 1.03
    record
    2011-12-04 · diff ↗
  • R
    R 2.14.0 released · 2011-10-31
  • R
    R 2.13.0 released · 2011-04-13
  • 1.0
    record
    2011-02-20
  • R
    R 2.12.0 released · 2010-10-15

Package metadata

First published
2011-02-20
Total releases
18 / 15 yrs
License
GPL (>= 2) OSI
Minimum R
≥ 3.2
Bundled data
75 KB / 6 files
Download size
2.2 MB

Cite

Cite this package

Run in R for the authors' entry:

citation("eaf")

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

It points to 10.1007/978-3-642-02538-9_9.

Cite the R Observatory

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

APA

Balamuta, J. J. (2026). R Observatory: Metrics for eaf version 2.5.2 [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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