cmu-phil/example-causal-datasets

Public dataset repository for the Causal Chamber Project

Notes, exercises and other materials related to causal inference, causal discovery and causal ML.

Unified causal discovery engine

Step-by-step causal inference — method selection, assumptions, and robustness checks

An index of algorithms for learning causality with data

R & Python code and datasets for Everyday Causal Inference — a free book on experiments, DiD, IV, RDD, and causal time series for business

R Package 📦 Containing the Datasaurus Dozen datasets 📊

Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.

Repository for the Tetrad Project, www.phil.cmu.edu/tetrad.