Designing Stated Preference Experiments R package spdesign version 0.0.6 Contemporary software commonly used to design stated preference experiments are expensive and the code is closed source. This is a free software package with an easy to use interface to make flexible stated preference experimental designs using state-of-the-art methods. For an overview of stated choice experimental design theory, see e.g., Rose, J. M. & Bliemer, M. C. J. (2014) in Hess S. & Daly. A. <doi:10.4337/9781781003152>. The package website can be accessed at <https://spdesign.edsandorf.me>. We acknowledge funding from the European Union’s Horizon 2020 research and innovation program under the Marie Sklodowska-Curie grant INSPiRE (Grant agreement ID: 793163). The package features in Mariel et al. (2025) Environmental Valuation with Discrete Choice Experiments in R. (<doi:10.1007/978-3-031-89338-4>). Software Depends: R (>= 4.1.0), stringr Imports: cli, future, randtoolbox, matrixStats, dplyr, tibble Suggests: knitr, rmarkdown, testthat Erlend Dancke Sandorf <erlend.dancke.sandorf@nmbu.no> Comprehensive R Archive Network (CRAN) Erlend Dancke Sandorf [aut, cre], Danny Campbell [aut] CC BY-SA 4.0 2026-07-02 application/tgz https://CRAN.R-project.org/package=spdesign doi:10.32614/CRAN.package.spdesign