Multi-Objective Optimal Design of Experiments R package MOODE version 1.1.0 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>. Software Depends: R (>= 4.1.0) Imports: cli, far, progressr, Rdpack, rlang Suggests: doFuture, foreach Vasiliki Koutra <vasiliki.koutra@kcl.ac.uk> Comprehensive R Archive Network (CRAN) Vasiliki Koutra [aut, cre, cph] (ORCID: <https://orcid.org/0000-0002-1117-4554>), Olga Egorova [aut, cph], Steven Gilmour [aut, cph], Luzia Trinca [aut, cph] GPL (>= 3) 2025-08-18 application/tgz https://CRAN.R-project.org/package=MOODE doi:10.32614/CRAN.package.MOODE