Lim.
Project description
# lim
[](https://pypi.python.org/pypi/lim/) [](https://pypi.python.org/pypi/lim/) [](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.
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