Package: spdesign 0.0.5

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).

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

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manual.pdf |manual.html✨
card.svg |card.png
spdesign/json (API)
NEWS

# Install 'spdesign' in R:

install.packages('spdesign', repos = c('https://edsandorf.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/edsandorf/spdesign/issues

Pkgdown/docs site:https://spdesign.edsandorf.me

On CRAN:

4.32 score 1 stars 21 scripts 219 downloads 20 exports 26 dependencies

Last updated from:83d66fccbe. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	141
source / vignettes	OK	190
linux-release-x86_64	OK	153
macos-release-arm64	OK	117
macos-oldrel-arm64	OK	119
windows-devel	OK	95
windows-release	OK	117
windows-oldrel	OK	98
wasm-release	OK	110

Exports:attribute_levels attribute_names block calculate_efficiency_criteria clean_utility cor expand_attribute_levels full_factorial generate_design level_balance make_draws occurrences priors probabilities rep_cols rep_rows set_default_options update_utility utility_formula vcov

Dependencies:cli codetools digest dplyr future generics globals glue lifecycle listenv magrittr matrixStats parallelly pillar pkgconfig R6 randtoolbox rlang rngWELL stringi stringr tibble tidyselect utf8 vctrs withr

Examples

Rendered fromexamples.Rmdusingknitr::rmarkdownon May 17 2026.

Last update: 2024-01-16
Started: 2024-01-16

Syntax

Rendered fromsyntax.Rmdusingknitr::rmarkdownon May 17 2026.

Last update: 2024-06-24
Started: 2021-01-08

Help page	Topics
Print package startup message	.onAttach
Check whether all priors and attributes have specified levels	all_priors_and_levels_specified
Check whether any priors or attributes are specified with a value more than once	any_duplicates
Check whether we can achieve attribute level balance	attribute_level_balance
Generic for getting the attributes and levels from the utility function	attribute_levels
Generic for getting the attribute names	attribute_names
Block the design	block
A-error	calculate_a_error
C-error	calculate_c_error
D-error	calculate_d_error
Calculate efficiency	calculate_efficiency
Calculate efficiency criteria	calculate_efficiency_criteria
S-error	calculate_s_error
Cleans the utility expression	clean_utility
Generic for extracting the vector of priors	coef.spdesign
Check whether the utility function contains dummy coded variables	contains_dummies
Correlation	cor
Cycling of attribute levels	cycle
Define base x_j	define_base_x_j
Define x_j	define_x_j
Derive the variance covariance matrix of the design	derive_vcov
Derive the variance covariance matrix for the MNL model	derive_vcov_mnl
Derive the variance covariance matrix for the RPL model	derive_vcov_rpl
Expand the sequence of integers	digitize
Find the position of the dummy coded attributes	dummy_names
Evaluate the design candidate	evaluate_design_candidate
Exclude rows from the candidate set	exclude
Expand the list of attributes and levels to the "wide" format	expand_attribute_levels
Extract all names	extract_all_names
Extract attribute names	extract_attribute_names
Extract distributions	extract_distribution
Extract the frequency of levels	extract_level_occurrence
Extracts the named values of the utility function	extract_named_values
Extract the parameter distribution	extract_param_distribution
Extract parameter names	extract_param_names
Extract the prior distribution	extract_prior_distribution
Extract specified	extract_specified
Extract unparsed named values of the utilitiy function	extract_unparsed_values
Extract the value argument(s)	extract_values
Find a design using a modified Federov algorithm	federov
Test whether a design candidate fits the constraints imposed by the level occurrences	fits_lvl_occurrences
Generate the full factorial	full_factorial
Generate an efficient experimental design	generate_design
Generates a candidate for the RSC algorithm	generate_rsc_candidate
Tests whether the utility expression contains Bayesian priors	has_bayesian_prior
Tests whether the utility expression contains random parameters	has_random_parameter
Tests whether a utility function is balanced	is_balanced
Print level balance of your design	level_balance
Attribute level occurrence lookup tables	lvl_occurrences
Make random draws	make_draws
Make Modified Latin Hypercube Draws	make_mlhs
Make pseudo random draws	make_pseudo_random
Make scrambled Halton draws	make_scrambled_halton
Make scrambled sobol draws	make_scrambled_sobol
Wrapper for halton()	make_standard_halton
Make sobol draws	make_standard_sobol
Find minimum level occurrences	min_lvl_occurrence
Find the number of levels	nlvls
Evaluating a distribution	lognormal lognormal_p normal normal_p triangular triangular_p uniform uniform_p
Extract or set attribute level occurrences	occurrences
Prepare the list of priors	prepare_priors
Creates a printable version of the efficiency criteria	print_efficiency_criteria
Prints the initial header for the table of results	print_initial_header
Prints iteration information	print_iteration_information
A generic function for printing an 'spdesign' object	print.spdesign
Generic for extracting the vector of priors	priors
Calculate the probabilities of the design	probabilities
Calculate the MNL probabilities	probabilities_mnl
Compute the radical inverse	radical_inverse
Make a random design	random
Create a random design_object candidate	random_design_candidate
Relabeling of attribute levels	relabel
Removes all brackets	remove_all_brackets
Removes the parameter from the utility string	remove_prior
Remove round bracket	remove_round_brackets
Remove square bracket	remove_square_brackets
Remove all white spaces	remove_whitespace
Repeat columns	rep_cols
Repeat rows	rep_rows
Make a design candidate based on the rsc algorithm	rsc
Sets the default level occurrence in an attribute level balanced design	set_default_level_occurrence
Validate design opt	set_default_options
Shuffle the order of points in the unit interval.	shuffle
Create a summary of the experimental design	summary.spdesign
Swapping of attribute	swap
Check if the design is too small	too_small
Transform distribution	transform_distribution
Transform to the lognormal distribution	transform_lognormal
Transform to the normal distribution	transform_normal
Transform to the triangular distribution	transform_triangular
Transform to the uniform distribution	transform_uniform
Update the utility function	update_utility
Create formulas from the utility functions	utility_formula
Extract the variance co-variance matrix	vcov.spdesign

Package: spdesign 0.0.5

spdesign: Designing Stated Preference Experiments

Examples

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Help Manual

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