causal-toolkit-yanranhan 0.1.1

A Python package for causal inference methods including ATE estimation, propensity score methods, and meta-learners

causal-toolkit-yanranhan

A small Python package that implements several basic causal inference estimators from the course:

Average Treatment Effect (ATE) for randomized experiments

Propensity-score methods (IPW and Doubly Robust)

Meta-learners (S-learner, T-learner, X-learner)

Double Machine Learning (binary and continuous treatment)

Installation

uv pip install -e .
pip install git+https://github.com/yanranhan95-create/causal-toolkit-yanranhan.git