https://github.com/limix/lim

Lim is an efficient implementation of Generalized Linear Mixed Models for genomic analysis.
https://github.com/limix/lim

Last synced: 2 months ago
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Lim is an efficient implementation of Generalized Linear Mixed Models for genomic analysis.

• Host: GitHub
• URL: https://github.com/limix/lim
• Owner: limix
• License: other
• Created: 2016-05-19T12:41:23.000Z (about 9 years ago)
• Default Branch: master
• Last Pushed: 2017-07-12T10:56:39.000Z (almost 8 years ago)
• Last Synced: 2025-03-02T07:41:09.765Z (3 months ago)
• Language: Python
• Homepage:
• Size: 507 KB
• Stars: 2
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# lim

[![PyPI-License](https://img.shields.io/pypi/l/lim.svg?style=flat-square)](https://pypi.python.org/pypi/lim/)

[![PyPI-Version](https://img.shields.io/pypi/v/lim.svg?style=flat-square)](https://pypi.python.org/pypi/lim/)

[![Documentation Status](https://readthedocs.org/projects/lim/badge/?style=flat-square&version=latest)](http://lim.readthedocs.io/en/latest/)

Lim is an efficient implementation of Generalized Linear Mixed Models for

genomic analysis.

## Install

The recommended way of installing it is via [conda](http://conda.pydata.org/docs/index.html)

```bash

conda install -c conda-forge limix-inference

conda install h5py pandas tabulate pytest

```

and then

```bash

pip install lim

```

## Running the tests

After installation, you can test it

```

python -c "import lim; lim.test()"

```

as long as you have [pytest](http://docs.pytest.org/en/latest/).

## Documentation

Refer to the [documentation](http://lim.readthedocs.io/en/latest/) for detailed

information.

## Authors

* **Christoph Lippert** - [https://github.com/clippert](https://github.com/clippert)

* **Danilo Horta** - [https://github.com/Horta](https://github.com/Horta)

* **Oliver Stegle** - [https://github.com/ostegle](https://github.com/ostegle)

* **Paolo Francesco Casale** - [https://github.com/fpcasale](https://github.com/fpcasale)

## License

This project is licensed under the MIT License -- see the

[LICENSE](LICENSE) file for details.