Metadata-Version: 2.1
Name: heteroverlap
Version: 0.0.2
Summary: Regression-based heterogeneity analysis to identify overlapping subgroup structure in high-dimensional data
Home-page: https://github.com/foliag/subgroup
Author: ZiyeLuo
Author-email: 2017100369@ruc.edu.cn
License: UNKNOWN
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
License-File: LICENSE

# heteroverlap
This project is used for regression-based heterogeneity analysis to identify overlapping subgroup structure in high-dimensional data. For more details, check our paper.

## Installation
1) Install the package from pypi or
    ```
    pip install tifresi
    ```   
2) from source
    ```
    git clone https://github.com/foliag/subgroup
    cd subgroup
    pip install .
    ```       


## License & citation

The content of this repository is released under the terms of the [MIT license](LICENCE.txt).
Please consider citing our paper if you use it.

```
@article{luo2022regression,
author = {Luo, Ziye and Yao, Xinyue and Sun, Yifan and Fan, Xinyan},
title = {Regression-based heterogeneity analysis to identify overlapping subgroup structure in high-dimensional data},
journal = {Biometrical Journal},
volume = {n/a},
number = {n/a},
pages = {},
keywords = {heterogeneity analysis, high-dimensional data, overlapping subgroup structure, penalization, regression},
doi = {https://doi.org/10.1002/bimj.202100119},
url = {https://onlinelibrary.wiley.com/doi/abs/10.1002/bimj.202100119},
eprint = {https://onlinelibrary.wiley.com/doi/pdf/10.1002/bimj.202100119}
}
```






