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], 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 |