Package: ExpertChoice 0.2.1

ExpertChoice: Design of Discrete Choice and Conjoint Analysis

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) <doi:10.1016/j.ijresmar.2005.09.003>.

Authors:Jed Stephens [aut, cre]

ExpertChoice_0.2.1.tar.gz
ExpertChoice_0.2.1.zip(r-4.7)ExpertChoice_0.2.1.zip(r-4.6)ExpertChoice_0.2.1.zip(r-4.5)
ExpertChoice_0.2.1.tgz(r-4.6-any)ExpertChoice_0.2.1.tgz(r-4.5-any)
ExpertChoice_0.2.1.tar.gz(r-4.7-any)ExpertChoice_0.2.1.tar.gz(r-4.6-any)
ExpertChoice_0.2.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
ExpertChoice/json (API)

# Install 'ExpertChoice' in R:

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

Bug tracker:https://github.com/jedstephens/expertchoice/issues

On CRAN:

4.88 score 15 stars 5 scripts 207 downloads 1 mentions 8 exports 39 dependencies

Last updated from:dda9602c4c. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	133
source / vignettes	OK	229
linux-release-x86_64	OK	114
macos-release-arm64	OK	134
macos-oldrel-arm64	OK	178
windows-devel	OK	126
windows-release	OK	80
windows-oldrel	OK	94
wasm-release	OK	106

Exports:augment_levels check_overshadow construct_question_frame dce_efficiency fractional_factorial_efficiency full_factorial modulo_method search_design

Dependencies:cli colorspace combinat conf.design data.table DoE.base dplyr far generics glue gmp jsonlite lattice lifecycle lmtest magrittr MASS nlme numbers partitions pillar pkgconfig polynom purrr R6 rbibutils Rdpack rlang rlist sets tibble tidyselect utf8 vcd vctrs withr XML yaml zoo

Practical Introduction to ExpertChoice

Rendered frompractical.Rmdusingknitr::rmarkdownon May 12 2026.

Last update: 2020-03-31
Started: 2019-11-21

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Augment levels and B-matrix to Full Factorial Design.	augment_levels
Check Overshadow - Pareto Dominate Solutions	check_overshadow
Convert from choice_sets to a question data	construct_question_frame
Efficiency Measures for Discrete Choice Experiments	dce_efficiency
Fractional Factorial Design Efficiency	fractional_factorial_efficiency
Full Factorial Design	full_factorial
Modulo Method - Described by Street et al.	modulo_method
Search Full Factorial for Fractional Factorial Design	search_design