Metadata-Version: 2.4
Name: plivwrp
Version: 0.1.0
Summary: An intuitive formula wrapper for Double/Debiased Machine Learning (PLR and PLIV models).
Home-page: https://github.com/mohanbhavya98/plivwrp
Author: Bhavya Mohan
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Intended Audience :: Science/Research
Requires-Python: >=3.8
Description-Content-Type: text/markdown
Requires-Dist: pandas
Requires-Dist: formulaic
Requires-Dist: doubleml
Requires-Dist: scikit-learn
Requires-Dist: jinja2
Dynamic: author
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
Dynamic: home-page
Dynamic: requires-dist
Dynamic: requires-python
Dynamic: summary

# plivwrp

`plivwrp` provides an intuitive, R-style formula wrapper for Double/Debiased Machine Learning, allowing applied econometricians to estimate Partially Linear Regression (PLR) and Partially Linear IV (PLIV) models seamlessly.

Built on top of `DoubleML` (Chernozhukov et al., 2018), this package abstracts away the data matrix configuration and nuisance parameter cross-fitting, allowing researchers to estimate causal effects and export publication-ready LaTeX tables using a single string.

## Installation
```bash
pip install plivwrp
