cjoint: An R Package for Estimating Average Marginal Component-specific Effects for Conjoint Survey Experiments
This package allows researchers to estimate the causal effects of attributes in conjoint survey experiments. It implements the Average Marginal Component-specific Effects (AMCE) estimator presented in Hainmueller, J., Hopkins, D., and Yamamoto T. (2014) Causal Inference in Conjoint Analysis: Understanding Multi-Dimensional Choices via Stated Preference Experiments. Political Analysis 22(1):1-30
Package: cjoint
Type: R Package
Version: 2.1.3
Date: 2026-05-18
License: GPL (>= 2)
Soubhik Barari, Elissa Berwick, Jens Hainmueller, Daniel Hopkins, Sean Liu, Anton Strezhnev, Teppei Yamamoto
Anton Strezhnev strezhnev@wisc.edu
Hainmueller, J., Hopkins, D., and Yamamoto T. (2014) Causal Inference in Conjoint Analysis: Understanding Multi-Dimensional Choices via Stated Preference Experiments. Political Analysis 22(1):1-30
To install the Github version of the cjoint package, use the following command:
remotes::install_github("astrezhnev/cjoint")