Other packages > Find by keyword >

spdesign  

Designing Stated Preference Experiments
View on CRAN: Click here


Download and install spdesign package within the R console
Install from CRAN:
install.packages("spdesign")

Install from Github:
library("remotes")
install_github("cran/spdesign")

Install by package version:
library("remotes")
install_version("spdesign", "0.0.5")



Attach the package and use:
library("spdesign")
Maintained by
Erlend Dancke Sandorf
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-08-17
Latest Update: 2024-10-18
Description:
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).
How to cite:
Erlend Dancke Sandorf (2023). spdesign: Designing Stated Preference Experiments. R package version 0.0.5, https://cran.r-project.org/web/packages/spdesign. Accessed 04 Jun. 2026.
Previous versions and publish date:
0.0.1 (2023-08-17 08:50), 0.0.2 (2023-09-07 16:00), 0.0.3 (2024-01-16 11:20), 0.0.4 (2024-06-21 13:50)
Other packages that cited spdesign R package
View spdesign citation profile
Other R packages that spdesign depends, imports, suggests or enhances
Complete documentation for spdesign
Functions, R codes and Examples using the spdesign R package
Some associated functions: all_priors_and_levels_specified . any_duplicates . attribute_level_balance . attribute_levels . attribute_names . block . calculate_a_error . calculate_c_error . calculate_d_error . calculate_efficiency . calculate_efficiency_criteria . calculate_s_error . clean_utility . coef.spdesign . contains_dummies . cor . cycle . define_base_x_j . define_x_j . derive_vcov . derive_vcov_mnl . derive_vcov_rpl . digitize . dot-onAttach . dummy_names . evaluate_design_candidate . exclude . expand_attribute_levels . extract_all_names . extract_attribute_names . extract_distribution . extract_level_occurrence . extract_named_values . extract_param_distribution . extract_param_names . extract_prior_distribution . extract_specified . extract_unparsed_values . extract_values . federov . fits_lvl_occurrences . full_factorial . generate_design . generate_rsc_candidate . has_bayesian_prior . has_random_parameter . is_balanced . lvl_occurrences . make_draws . make_mlhs . make_pseudo_random . make_scrambled_halton . make_scrambled_sobol . make_standard_halton . make_standard_sobol . min_lvl_occurrence . nlvls . normal . occurrences . prepare_priors . print.spdesign . print_efficiency_criteria . print_initial_header . print_iteration_information . priors . probabilities . probabilities_mnl . radical_inverse . random . random_design_candidate . reexports . relabel . remove_all_brackets . remove_prior . remove_round_brackets . remove_square_brackets . remove_whitespace . rep_cols . rep_rows . rsc . set_default_level_occurrence . set_default_options . shuffle . spdesign-package . summary.spdesign . swap . too_small . transform_distribution . transform_lognormal . transform_normal . transform_triangular . transform_uniform . update_utility . utility_formula . vcov.spdesign . 
Some associated R codes: DEPRECATED-set-defaults.R . assertions.R . block.R . derive.R . design.R . distributions.R . draws.R . efficiency-criteria.R . evaluate.R . exclusions-and-conditions.R . extract.R . federov.R . full-factorial.R . methods.R . parsing.R . print.R . priors.R . probabilities.R . random.R . remove.R . rsc.R . spdesign-package.R . utils.R . xj.R . zzz.R .  Full spdesign package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

crplyr  
A 'dplyr' Interface for Crunch
In order to facilitate analysis of datasets hosted on the Crunch data platform ...
Download / Learn more Package Citations See dependency  
phers  
Calculate Phenotype Risk Scores
Use phenotype risk scores based on linked clinical and genetic data to study Mendelian disease and ...
Download / Learn more Package Citations See dependency  
AMPLE  
Shiny Apps to Support Capacity Building on Harvest Control Rules
Three Shiny apps are provided that introduce Harvest Control Rules (HCR) for fisheries management. ...
Download / Learn more Package Citations See dependency  
shinybusy  
Busy Indicators and Notifications for 'Shiny' Applications
Add indicators (spinner, progress bar, gif) in your 'shiny' applications to show the user that the ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
murphydiagram  
Murphy Diagrams for Forecast Comparisons
Data and code for the paper by Ehm, Gneiting, Jordan and Krueger ('Of Quantiles and Expectiles: Con ...
Download / Learn more Package Citations See dependency  

27,268

R Packages

233,548

Dependencies

72,590

Author Associations

27,205

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA