Design of Discrete Choice and Conjoint Analysis
Overview
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.
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK12 OK2026-04-25
- NOTE11 OK, 3 NOTE2026-03-10
Documentation
- Help pages
- 8
- Examples that run
- 100%8 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 50%
Downloads
Repository
- PRs merged (all time)
- 0%
- Median days to close, 50 most recently updated closed issues
- 194
- Median days to close, 50 most recently updated closed PRs
- 0
Stars over time
Forks over time
Releases over time
Issues over time
2 development-tooling and community-health practices detected across 2 families in the upstream repository
Checks run against github.com/jedstephens/expertchoice on 2026-10-21.
Dependencies
Installing ExpertChoice adds 36 packages (22 with compiled code, 20 MB of source tarballs). Heaviest: data.table 5.7 MB, colorspace 2.0 MB, rbibutils 1.1 MB.
Code & Tests
People & History
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- 0.2.0Latest2020-04-03 · current release
- RR 3.6.0 released · 2019-04-26
Package metadata
- First published
- 2020-04-03
- Total releases
- 1 / 6 yrs
- License
- MIT + file LICENSE OSI
- Minimum R
- ≥ 3.6.0
- Download size
- 545 KB
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("ExpertChoice")This package has no citation file, so citation() returns this entry built from DESCRIPTION.
Cite the R Observatory
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