AMCE Estimator for Conjoint Experiments

An R implementation of 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.

cjoint: An R Package for Estimating Average Marginal Component-specific Effects for Conjoint Survey Experiments

Description

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

Details

Package: cjoint Type: R Package Version: 2.1.3 Date: 2026-05-18 License: GPL (>= 2)

Authors:

Soubhik Barari, Elissa Berwick, Jens Hainmueller, Daniel Hopkins, Sean Liu, Anton Strezhnev, Teppei Yamamoto

Maintainer:

Anton Strezhnev [email protected]

References:

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

Installation Guide:

To install the Github version of the cjoint package, use the following command:

remotes::install_github("astrezhnev/cjoint")