Metadata-Version: 2.4
Name: drkaizeng-mendelian-randomisation
Version: 0.0.1
Summary: Simulate and estimate causal effects using Mendelian Randomisation.
Project-URL: Homepage, https://statistics-and-engineering-lab.readthedocs.io/en/latest/python_projects/mendelian_randomisation/
Author: Kai Zeng
License-File: LICENCE
Classifier: Development Status :: 3 - Alpha
Classifier: Environment :: Console
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Programming Language :: Python :: 3.13
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Requires-Python: >=3.13
Requires-Dist: click>=8.3.1
Requires-Dist: numpy>=2.4.0
Requires-Dist: scipy>=1.15.0
Description-Content-Type: text/markdown

# Mendelian Randomisation

A Python package for simulating and estimating causal effects using Mendelian Randomisation with the Inverse-Variance Weighted (IVW) estimator. See the [documentation](https://statistics-and-engineering-lab.readthedocs.io/en/latest/python_projects/mendelian_randomisation/) for more details.
