A package for a more general, more straightforward, and more creative conjoint analysis
This project aims to conduct a random survey design for collecting responses regarding wine preferences of Italian consumers. Furthermore, it attempts to understand how preference share gets affected as we vary different attributes associated with wine with the use of a research method called Conjoint Analysis..
An R package with tools for designing choice based conjoint (cbc) survey experiments and conduction power analyses
Choice-Based Conjoint Analysis, Multinomial Logit Model, Multinomial Logit Model with random coefficients
Fall 2024 section of EMSE 6035: Marketing Analytics for Design Decisions @ GWU
This is a full conjoint analysis study ran on 250 survey participants, analysed through Bayesian Hierarchical Model, using RSTAN package
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