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Lim.

Project description

# 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

## License

This project is licensed under the MIT License – see the [LICENSE](LICENSE) file for details.

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