Skip to main content

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

Project description

causal-toolkit-qingwei

Tests

PyPI version

A Python package for causal inference methods including:

  • ATE estimation
  • IPW (Inverse Probability Weighting)
  • Doubly Robust Estimation
  • S-Learner
  • T-Learner
  • X-Learner
  • Double Machine Learning

Installation

git clone https://github.com/qingweizhang054/causal-toolkit-qingwei-package.git
cd causal-toolkit-qingwei-package

uv venv
.venv\Scripts\activate

uv pip install -e ".[dev]"

Run Tests

uv run pytest

Example Usage

from causal_toolkit_qingwei import (
    calculate_ate_ci,
    ipw,
    x_learner_discrete
)

Author

Qingwei Zhang
University of Chicago

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

causal_toolkit_qingwei-0.1.3.tar.gz (6.1 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

causal_toolkit_qingwei-0.1.3-py3-none-any.whl (6.2 kB view details)

Uploaded Python 3

File details

Details for the file causal_toolkit_qingwei-0.1.3.tar.gz.

File metadata

  • Download URL: causal_toolkit_qingwei-0.1.3.tar.gz
  • Upload date:
  • Size: 6.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.15

File hashes

Hashes for causal_toolkit_qingwei-0.1.3.tar.gz
Algorithm Hash digest
SHA256 ba09ac6bf0a594d8557f7a5a0a60873cf440832bea8faf89688c33419a54aeef
MD5 7062b22c3feba0b9b53f0c3a4b51b838
BLAKE2b-256 0fa72b16af33732cc1657c944e84103323ce6b60eb7703dd8650bcd281a30164

See more details on using hashes here.

File details

Details for the file causal_toolkit_qingwei-0.1.3-py3-none-any.whl.

File metadata

File hashes

Hashes for causal_toolkit_qingwei-0.1.3-py3-none-any.whl
Algorithm Hash digest
SHA256 bf6298652f059f82b3586fe3b850fd56d2474128d545ce95945da46e5c100a99
MD5 8a3e7fbe751c25c21f83edc3118767f1
BLAKE2b-256 048f25d04a5bf4f258be03b89cb0f90359871fac0bcf5377e01cf6e4e30b4878

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page