Metadata-Version: 2.1
Name: pycausal-inference
Version: 0.1.0
Summary: A causal inference toolkit with ATE, IPW, doubly robust, and meta-learners.
Author: Leon Tan
License: MIT
Project-URL: Homepage, https://github.com/LTan00/pycausal-inference
Project-URL: Repository, https://github.com/LTan00/pycausal-inference
Project-URL: Issues, https://github.com/LTan00/pycausal-inference/issues
Keywords: causal inference,treatment effect,statistics,machine learning
Classifier: Development Status :: 3 - Alpha
Classifier: License :: OSI Approved :: MIT License
Classifier: Intended Audience :: Science/Research
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.9
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Requires-Python: >=3.8
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: numpy>=1.21
Requires-Dist: pandas>=1.3
Requires-Dist: scipy>=1.7
Requires-Dist: scikit-learn>=1.0
Requires-Dist: lightgbm>=3.3
Requires-Dist: patsy>=0.5
Provides-Extra: dev
Requires-Dist: pytest>=7.0; extra == "dev"
Requires-Dist: pytest-cov>=3.0; extra == "dev"
Requires-Dist: black>=22.0; extra == "dev"
Requires-Dist: mypy>=0.950; extra == "dev"

[![Tests](https://github.com/LTan00/pycausal-inference/workflows/Tests/badge.svg)](https://github.com/LTan00/pycausal-inference/actions)

# causal_toolkit_yourname

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

## Installation


