Metadata-Version: 2.4
Name: akshat-causal-toolkit
Version: 0.1.0
Summary: A Python package for causal inference methods including ATE estimation, propensity score methods, and meta-learners
Author: Akshat Gupta
License: MIT
Project-URL: Homepage, https://github.com/YOUR_GITHUB_USERNAME/akshat-causal-toolkit
Project-URL: Documentation, https://github.com/YOUR_GITHUB_USERNAME/akshat-causal-toolkit#readme
Project-URL: Repository, https://github.com/YOUR_GITHUB_USERNAME/akshat-causal-toolkit
Project-URL: Bug Tracker, https://github.com/YOUR_GITHUB_USERNAME/akshat-causal-toolkit/issues
Keywords: causal inference,statistics,machine learning,treatment effects,meta learners
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: Programming Language :: Python :: 3.12
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Requires-Python: >=3.8
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: pandas>=1.3.0
Requires-Dist: numpy>=1.21.0
Requires-Dist: scipy>=1.7.0
Requires-Dist: scikit-learn>=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: mypy>=0.950; extra == "dev"
Dynamic: license-file

# Akshat Causal Toolkit

[![Tests](https://github.com/yourusername/akshat-causal-toolkit/workflows/Tests/badge.svg)](https://github.com/
akgupta-droid/akshat-causal-toolkit/actions)
[![PyPI version](https://badge.fury.io/py/akshat-causal-toolkit.svg)](https://pypi.org/project/akshat-causal-toolkit/)

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

## Installation

```bash
pip install akshat-causal-toolkit
```

## Quick Start

```python
from akshat_causal_toolkit import (
    calculate_ate_ci,
    calculate_ate_pvalue,
    ipw,
    doubly_robust,
    s_learner_discrete,
    t_learner_discrete,
    x_learner_discrete,
    double_ml_cate,
)
```

