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 library.
The package provides:
- UniLasso
- Lasso / GLM wrappers over
adelie.grpnetfor Gaussian, binomial and Cox models - UniPairs (one-stage and two-stage) interaction models:
- support for Gaussian, logistic, and Cox regression
Installation
pip install uniPairs
## Citation
If you use this package in your research, please cite:
```bibtex
@article{echarghaoui2025univariate,
title={Univariate-Guided Interaction Modeling},
author={Echarghaoui, Aymen and Tibshirani, Robert},
journal={arXiv preprint arXiv:2512.14413},
year={2025}
}
Metadata
Release files for uniPairs 0.1.4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| unipairs-0.1.4.tar.gz | 19.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| unipairs-0.1.4-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 38.6 kB
Release files / unipairs-0.1.4.tar.gz
| Download URL | unipairs-0.1.4.tar.gz |
|---|---|
| Size | 19.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Release files / unipairs-0.1.4-py3-none-any.whl
| Download URL | unipairs-0.1.4-py3-none-any.whl |
|---|---|
| Size | 19.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/6.2.0 CPython/3.10.14
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