spdesign
0.0.6Designing Stated Preference Experiments
Overview
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).
Install
Health
- NOTE r-devel-linux-x86_64-debian-clang
- NOTE r-devel-linux-x86_64-debian-gcc
- NOTE r-devel-linux-x86_64-fedora-gcc
- NOTE r-devel-windows-x86_64
- NOTE2026-07-1611 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-07-0913 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-03-103 OK · 11 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 98%
- Return-value docs
- 90%
- References docs
- 8%
Downloads
Repository
Stars over time
Forks over time
Releases over time
Issues over time
PRs over time
Repository practices
3 development-tooling and community-health practices detected across 3 families in the upstream repository
Checks run against github.com/edsandorf/spdesign on 2026-08-03.
Dependencies
Nothing depends on this yet.
Code & Tests
People & History
6 releases. Pick two to compare their code metrics. R releases are shown for context.
Package metadata
- First published
- 2023-08-17
- Total releases
- 6 / 3 yrs
- License
- CC BY-SA 4.0
- Minimum R
- ≥ 4.1.0
- Download size
- 158 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
Cite
Cite this package
Start here. This is the citation for the package itself.
citation("spdesign")CRAN DOI
https://doi.org/10.32614/CRAN.package.spdesignBibTeX, derived from DESCRIPTION
@Manual{spdesign,
title = {spdesign: Designing Stated Preference Experiments},
author = {Sandorf, Erlend Dancke and Campbell, Danny},
year = {2026},
note = {R package version 0.0.6},
doi = {10.32614/CRAN.package.spdesign},
url = {https://CRAN.R-project.org/package=spdesign}
}Derived from the package DESCRIPTION, not from a citation file the authors wrote. If they publish one later, prefer it.
This is the citation for the package. It is not a citation for the R Observatory.
Cite this page
Use this when the claim is about a measurement on this page.
BibTeX
@misc{robservatoryspdesign,
author = {Balamuta, James Joseph},
title = {{R} {Observatory}: Metrics for {spdesign} version 0.0.6},
year = {2026},
publisher = {HJJB, LLC},
url = {https://r-observatory.thecoatlessprofessor.com/packages/spdesign},
note = {Data set. Data release v2026-08-05}
}APA
Balamuta, J. J. (2026). R Observatory: Metrics for spdesign version 0.0.6 [Data set]. HJJB, LLC. Data release v2026-08-05. https://r-observatory.thecoatlessprofessor.com/packages/spdesignRIS
TY - DATA
AU - Balamuta, James Joseph
TI - R Observatory: Metrics for spdesign version 0.0.6
PY - 2026
PB - HJJB, LLC
N1 - Data release v2026-08-05
UR - https://r-observatory.thecoatlessprofessor.com/packages/spdesign
ER - In prose
These package metrics were obtained from the R Observatory (Balamuta, 2026), data release v2026-08-05, https://r-observatory.thecoatlessprofessor.com/packages/spdesign.Bound to data release v2026-08-05, which is what makes the numbers on this page reproducible. See how to cite.