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-Ibáñez [aut, cre], Marco Chiarandini [aut], Carlos Fonseca [aut], LuÃs 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 resultsRetroSearch is an open source project built by @garambo | Open a GitHub Issue
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