mooplot: Graphical Visualizations for Multi-Objective Optimization
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: |
0.1.0 |
Depends: |
R (≥ 4.0) |
Imports: |
Rdpack, collapse (≥ 2.0.8), grDevices, graphics, matrixStats, moocore |
Suggests: |
extrafont, viridisLite, spelling, testthat (≥ 3.0.0), withr |
Published: |
2025-03-21 |
DOI: |
10.32614/CRAN.package.mooplot |
Author: |
Manuel López-Ibáñez
[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 |
Documentation:
Downloads:
Linking:
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