The ultimate practical guide to conjoint analysis with R
Read OriginalThis article provides a detailed, practical tutorial on conducting conjoint analysis in R, using packages like brms and marginaleffects. It explains how to analyze experimental data to find causal and descriptive quantities of interest, applying both frequentist and Bayesian statistical approaches. The context is a research project studying donor behavior toward NGOs, but the focus is on the technical methodology.
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