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 05 Mar. 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

neat  
Efficient Network Enrichment Analysis Test
Includes functions and examples to compute NEAT, the Network Enrichment Analysis Test described in ...
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  
roccv  
ROC for Cross Validation Results
Cross validate large genetic data while specifying clinical variables that should always be in the m ...
Download / Learn more Package Citations See dependency  
pinp  
'pinp' is not 'PNAS'
A 'PNAS'-alike style for 'rmarkdown', derived from the 'Proceedings of the National Academy of Scie ...
Download / Learn more Package Citations See dependency  
ClimClass  
Climate Classification According to Several Indices
Classification of climate according to Koeppen - Geiger, of aridity indices, of continentality indi ...
Download / Learn more Package Citations See dependency  
imagefx  
Extract Features from Images
Synthesize images into characteristic features for time-series analysis or machine learning applicat ...
Download / Learn more Package Citations See dependency  

26,264

R Packages

223,360

Dependencies

70,244

Author Associations

26,265

Publication Badges

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