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ExpertChoice
View on CRAN: Click
here
Download and install ExpertChoice package within the R console
Install from CRAN:
install.packages("ExpertChoice")
Install from Github:
library("remotes")
install_github("cran/ExpertChoice") Install by package version:
library("remotes")
install_version("ExpertChoice", "0.2.0") Attach the package and use:
library("ExpertChoice")
Maintained by
Jed Stephens
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-04-03
Latest Update: 2020-04-03
Description:
Supports designing efficient discrete choice experiments (DCEs). Experimental designs can be formed on the basis of orthogonal arrays or search methods for optimal designs (Federov or mixed integer programs). Various methods for converting these experimental designs into a discrete choice experiment. Many efficiency measures! Draws from literature of Kuhfeld (2010) and Street et. al (2005) .
How to cite:
Jed Stephens (2020). ExpertChoice: Design of Discrete Choice and Conjoint Analysis. R package version 0.2.0, https://cran.r-project.org/web/packages/ExpertChoice. Accessed 07 Aug. 2026.
Previous versions and publish date:
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Complete documentation for ExpertChoice
Functions, R codes and Examples using
the ExpertChoice R package
Some associated functions: augment_levels . check_overshadow . construct_question_frame . dce_efficiency . fractional_factorial_efficiency . full_factorial . modulo_method . search_design .
Some associated R codes: augment_levels.R . check_overshadow.R . construct_question_frame.R . dce_efficiency.R . fractional_factorial_efficiency.R . full_factorial.R . modulo_method.R . search_design.R . Full ExpertChoice package functions and examples
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