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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]
First Published: 2023-08-17
Latest Update: 2024-01-16
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 29 Mar. 2025.
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
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