Metadata-Version: 2.4
Name: pycausal_dai
Version: 0.1.0
Summary: A Python package for causal inference methods including ATE estimation, propensity score methods, and meta-learners
Author-email: Huanlin Dai <dai.huan.lin@gmail.com>
License: MIT
Project-URL: Homepage, https://github.com/yourusername/pycausal_dai
Project-URL: Documentation, https://github.com/yourusername/pycausal_dai#readme
Project-URL: Repository, https://github.com/yourusername/pycausal_dai
Project-URL: Bug Tracker, https://github.com/yourusername/pycausal_dai/issues
Keywords: causal inference,statistics,machine learning,treatment effects
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Requires-Python: >=3.11
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: graphviz>=0.21
Requires-Dist: lightgbm>=4.6.0
Requires-Dist: linearmodels>=7.0
Requires-Dist: matplotlib>=3.10.7
Requires-Dist: networkx>=3.5
Requires-Dist: numpy<2
Requires-Dist: pandas>=2.3.3
Requires-Dist: patsy>=1.0.1
Requires-Dist: pyarrow>=22.0.0
Requires-Dist: scikit-learn>=1.7.2
Requires-Dist: scipy>=1.16.2
Requires-Dist: seaborn>=0.13.2
Requires-Dist: statsmodels>=0.14.5
Requires-Dist: toolz>=1.0.0
Provides-Extra: dev
Requires-Dist: pytest>=7.0.0; extra == "dev"
Requires-Dist: pytest-cov>=3.0.0; extra == "dev"
Requires-Dist: black>=22.0.0; extra == "dev"
Requires-Dist: pylint>=2.12.0; extra == "dev"
Requires-Dist: mypy>=0.950; extra == "dev"
Dynamic: license-file

# pycausal_dai
[![Tests](https://github.com/yourusername/your-package-name/workflows/Tests/badge.svg)](https://github.com/daihuanlin/pycausal_dai/actions)
