Skip to content

Latest commit

 

History

History
19 lines (15 loc) · 611 Bytes

README.md

File metadata and controls

19 lines (15 loc) · 611 Bytes

Empirical Bayes Python

Using Python to recreate the code and charts used throughout David Robinson's Introduction to Empirical Bayes.

This is mostly a work in progress (and one that I might not get around to completing).

Requirements

  • pip3 install -r requirements.txt
  • Lahman data
    • We use the CSV files

FAQ

Why?

I really enjoyed the book, but haven't used R in several years. In order to take these approaches at work, I'd need to translate them to Python.