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.">

mooplot: Graphical Visualizations for Multi-Objective Optimization (original) (raw)

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-IbáñezORCID iD [aut, cre], Carlos Fonseca [ctb], Luís 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

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