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projoint  

Conjoint Analysis with Reliability Correction and Visualization
View on CRAN: Click here


Download and install projoint package within the R console
Install from CRAN:
install.packages("projoint")

Install from Github:
library("remotes")
install_github("cran/projoint")

Install by package version:
library("remotes")
install_version("projoint", "1.1.4")



Attach the package and use:
library("projoint")
Maintained by
Yusaku Horiuchi
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-10-29
Latest Update: 2025-10-29
Description:
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>.
How to cite:
Yusaku Horiuchi (2025). projoint: Conjoint Analysis with Reliability Correction and Visualization. R package version 1.1.4, https://cran.r-project.org/web/packages/projoint. Accessed 26 Oct. 2026.
Previous versions and publish date:
(2026-08-28 21:30), 1.0.6 (2025-10-29 20:50), 1.1.0 (2026-02-16 15:20), 1.1.1 (2026-02-23 00:00), 1.1.2 (2026-07-15 14:50), 1.1.3 (2026-07-31 20:50)
Other packages that cited projoint R package
View projoint citation profile
Other R packages that projoint depends, imports, suggests or enhances
Complete documentation for projoint
Functions, R codes and Examples using the projoint R package
Full projoint package functions and examples
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