Syracuse University, Masters of Applied Data Science - MAR 653 Marketing Analytics

R package that creates Bayesian I- and D-optimal designs for choice models involving mixtures of ingredient proportions

choice models with economic foundation

Code for paper "Bayesian I-optimal designs for choice experiments with mixtures" by Mario Becerra and Peter Goos.

This is the data and code repository for the article "Autistic traits influence the strategic diversity of information sampling: Insights from two-stage decision models" (published on PLoS Computational Biology).