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 Unionâs Horizon 2020 research and innovation program under the Marie Sklodowska-Curie grant INSPiRE (Grant agreement ID: 793163).
Version: 0.0.5 Depends: R (≥ 4.0.0), stringr Imports: cli, future, randtoolbox, matrixStats, dplyr, tibble Suggests: knitr, rmarkdown, testthat Published: 2024-10-18 DOI: 10.32614/CRAN.package.spdesign Author: Erlend Dancke Sandorf [aut, cre], Danny Campbell [aut] Maintainer: Erlend Dancke Sandorf <erlend.dancke.sandorf at nmbu.no> License: CC BY-SA 4.0 URL: https://spdesign.edsandorf.me, https://github.com/edsandorf/spdesign NeedsCompilation: no Citation: spdesign citation info Materials: NEWS CRAN checks: spdesign results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=spdesign to link to this page.
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