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spdesign: 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. <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).

Version: 0.0.3
Depends: R (≥ 4.0.0), stringr
Imports: cli, future, randtoolbox, matrixStats, dplyr, tibble
Suggests: knitr, rmarkdown, testthat
Published: 2024-01-16
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:

Reference manual: spdesign.pdf
Vignettes: Examples
Syntax

Downloads:

Package source: spdesign_0.0.3.tar.gz
Windows binaries: r-devel: spdesign_0.0.3.zip, r-release: spdesign_0.0.3.zip, r-oldrel: spdesign_0.0.3.zip
macOS binaries: r-release (arm64): spdesign_0.0.3.tgz, r-oldrel (arm64): spdesign_0.0.3.tgz, r-release (x86_64): spdesign_0.0.3.tgz, r-oldrel (x86_64): spdesign_0.0.3.tgz
Old sources: spdesign archive

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.
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