Visualization of multi-dimensional data arising in multi-objective optimization, including plots of the empirical attainment function (EAF), M. López-Ibáñez, L. Paquete, and T. Stützle (2010) <doi:10.1007/978-3-642-02538-9_9>, and symmetric Vorob'ev expectation and deviation, M. Binois, D. Ginsbourger, O. Roustant (2015) <doi:10.1016/j.ejor.2014.07.032>, among others.
Version: 0.1.1 Depends: R (≥ 4.0) Imports: Rdpack, collapse (≥ 2.0.8), grDevices, graphics, matrixStats, moocore (≥ 0.1.5) Suggests: extrafont, viridisLite, spelling, testthat (≥ 3.0.0), withr Published: 2025-05-12 DOI: 10.32614/CRAN.package.mooplot Author: Manuel López-Ibáñez [aut, cre], Carlos Fonseca [ctb], LuÃs Paquete [ctb], Mickaël Binois [ctb] Maintainer: Manuel López-Ibáñez <manuel.lopez-ibanez at manchester.ac.uk> BugReports: https://github.com/multi-objective/mooplot/issues/ License: LGPL-2 | LGPL-2.1 | LGPL-3 [expanded from: LGPL (≥ 2)] URL: https://multi-objective.github.io/mooplot/r/, https://github.com/multi-objective/mooplot/ NeedsCompilation: no Language: en-GB Citation: mooplot citation info Materials: README NEWS CRAN checks: mooplot results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=mooplot to link to this page.
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