Elea McDonnell Feit's repositories
ad_response_tutorial
This tutorial shows users how to evaluate advertising response using last click attribution, experiments, marketing mix models and attribution models. By applying these methods to the same (synthetic) data set, users will learn how the methods compare. We also illustrate the data manipulation that is required to prepare typical raw advertising data for analysis. Examples are worked in R and slides are provided in LaTeX.
testandroll
Replication Files for Feit and Berman (2019) Test & Roll: Profit-Maximizing A/B Tests, Marketing Science.
data_fusion
Code for the examples in the Feit and Bradlow chapter on Fusion Modeling in the Handbook of Marketing Research.
RforResearch
Introduction to R and R Markdown for Business School Faculty and Doctoral Students
brettgall.hugo
Contains the source code/files for my website:
Causal_Forests_Tutorial
Analyzing Experiments Using Causal Forests for R Ladies Philly
ChoiceStan
Materials from tutorial "Using Stan to Estimate Hierarchical Bayes Models," ART Forum 2017
statrethinking_winter2019
Statistical Rethinking course at MPI-EVA from Dec 2018 through Feb 2019