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MOODE: Multi-Objective Optimal Design of Experiments

Provides functionality to generate compound optimal designs for targeting the multiple experimental objectives directly, ensuring that the full set of research questions is answered as economically as possible. Designs can be found using point or coordinate exchange algorithms combining estimation, inference and lack-of-fit criteria that account for model inadequacy. Details and examples are given by Koutra et al. (2024) <doi:10.48550/arXiv.2412.17158>.

Version: 1.0.1
Imports: cli, far, progressr, Rdpack, rlang
Suggests: doFuture, foreach
Published: 2025-01-08
DOI: 10.32614/CRAN.package.MOODE
Author: Vasiliki Koutra ORCID iD [aut, cre, cph], Olga Egorova [aut, cph], Steven Gilmour [aut, cph], Luzia Trinca [aut, cph]
Maintainer: Vasiliki Koutra <vasiliki.koutra at kcl.ac.uk>
BugReports: https://github.com/vkstats/MOODE/issues
License: GPL (≥ 3)
URL: https://github.com/vkstats/MOODE
NeedsCompilation: no
Materials: README NEWS
CRAN checks: MOODE results

Documentation:

Reference manual: MOODE.pdf

Downloads:

Package source: MOODE_1.0.1.tar.gz
Windows binaries: r-devel: MOODE_1.0.1.zip, r-release: MOODE_1.0.1.zip, r-oldrel: MOODE_1.0.1.zip
macOS binaries: r-release (arm64): MOODE_1.0.1.tgz, r-oldrel (arm64): MOODE_1.0.1.tgz, r-release (x86_64): MOODE_1.0.1.tgz, r-oldrel (x86_64): MOODE_1.0.1.tgz

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.