doi:10.1007/978-3-642-02538-9_9>.">

eaf: Plots of the Empirical Attainment Function (original) (raw)

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>.

Version: 2.5.2
Depends: R (≥ 3.2)
Imports: modeltools, graphics, grDevices, matrixStats, Rdpack
Suggests: extrafont, testthat (≥ 3.0.0), withr, viridisLite, spelling
Published: 2025-03-28
DOI: 10.32614/CRAN.package.eaf
Author: Manuel López-IbáñezORCID iD [aut, cre], Marco Chiarandini [aut], Carlos Fonseca [aut], Luís Paquete [aut], Thomas Stützle [aut], Mickaël Binois [ctb]
Maintainer: Manuel López-Ibáñez <manuel.lopez-ibanez at manchester.ac.uk>
BugReports: https://github.com/MLopez-Ibanez/eaf/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://mlopez-ibanez.github.io/eaf/,https://github.com/MLopez-Ibanez/eaf
NeedsCompilation: yes
SystemRequirements: GNU make, Gnu Scientific Library
Language: en-GB
Citation: eaf citation info
Materials: README, NEWS
CRAN checks: eaf results

Documentation:

Downloads:

Reverse dependencies:

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=eafto link to this page.