Designing Stated Preference Experiments

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. . 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. ().


Reference manual

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install.packages("spdesign")

0.0.7 by Erlend Dancke Sandorf, 9 days ago


https://spdesign.edsandorf.me, https://github.com/edsandorf/spdesign


Browse source code at https://github.com/cran/spdesign


Authors: Erlend Dancke Sandorf [aut, cre] , Danny Campbell [aut]


Documentation:   PDF Manual  


CC BY-SA 4.0 license


Imports cli, future, randtoolbox, matrixStats, dplyr, tibble

Depends on stringr

Suggests knitr, rmarkdown, testthat


See at CRAN