projoint
1.1.3Conjoint Analysis with Reliability Correction and Visualization
Overview
Provides tools for analyzing data generated from conjoint survey experiments, a method widely used in the social sciences for studying multidimensional preferences. The package implements estimation of marginal means (MMs) and average marginal component effects (AMCEs), with corrections for measurement error. Methods include profile-level and choice-level estimators, bias correction using intra-respondent reliability (IRR), and visualization utilities. For details on the methodology, see Clayton, Horiuchi, Kaufman, King, and Komisarchik (2025) https://gking.harvard.edu/conjointE.
Install
Health
- OK2026-08-0513 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-06-0913 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-06-0712 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-04-2512 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Show 1 earlier snapshots
- NOTE2026-03-1011 OK · 3 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 38%
- Documented parameters
- 96%
- Return-value docs
- 100%
- References docs
- 0%
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Repository practices
5 development-tooling and community-health practices detected across 5 families in the upstream repository
Checks run against github.com/yhoriuchi/projoint on 2026-08-16.
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Dependencies
Nothing depends on this yet.
Code & Tests
Datasets
People & History
5 releases. Pick two to compare their code metrics. R releases are shown for context.
Package metadata
- First published
- 2025-10-29
- Total releases
- 5 / 1 yrs
- License
- MIT + file LICENSE OSI
- Minimum R
- ≥ 4.1.0
- Bundled data
- 185 KB / 5 files
- Download size
- 2.1 MB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("projoint")The authors publish a CITATION.cff, so they have said how they want this cited. Run citation() and use what it gives you.
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