Metadata-Version: 2.4
Name: uniPairs
Version: 0.1.3
Summary: Univariate-Guided Interaction Modeling
Author: Aymen Echarghaoui
License: MIT
Keywords: lasso,unilasso,interactions,regression
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering
Requires-Python: >=3.9
Description-Content-Type: text/markdown
Requires-Dist: numpy>=1.20
Requires-Dist: scipy>=1.7
Requires-Dist: scikit-learn>=1.0
Requires-Dist: matplotlib>=3.4
Requires-Dist: seaborn>=0.11
Requires-Dist: adelie>=1.1.52

# uniPairs

_Univariate–guided interaction modeling in Python._

`uniPairs` implements procedures for discovering and estimating pairwise interactions in high-dimensional generalized linear models, built on top of the [`adelie`](https://jamesyang007.github.io/adelie) library.

The package provides:

- **UniLasso**
- **Lasso / GLM wrappers** over `adelie.grpnet` for Gaussian, binomial and Cox models  
- **UniPairs (one-stage and two-stage)** interaction models:
  - support for Gaussian, logistic, and Cox regression

---

## Installation

```bash
pip install uniPairs
