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A flexible and fast mixed model toolbox.

Project description

# Limix

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Genomic analyses require flexible models that can be adapted to the needs of the user. Limix is a flexible and efficient linear mixed model library with interfaces to Python.

Limix includes methods for - single-variant association and interaction testing, - variance decompostion analysis with linear mixed models, - association and interaction set tests, - as well as different utils for statistical analysis, basic i/o and plotting.

A description of the public interface is found at https://limix.readthedocs.io/.

iPython notebook tutorials are available from github repository: https://github.com/limix/limix-tutorials.

These tutorials can also be viewed using the ipython notebook viewer: http://nbviewer.ipython.org/github/limix/limix-tutorials/blob/master/index.ipynb.

## Highlights

## Install

The recommended way of installing it is via [conda](http://conda.pydata.org/docs/index.html) `bash conda install -c conda-forge limix `

An alternative way would be via pip `bash pip install limix `

In the second option, you will need to sort out some of its dependencies. At least the [liknorm](https://github.com/limix/liknorm) one.

## Problems

If you encounter any issue, please, [submit it](https://github.com/limix/limix/issues).

## Authors

## License

This project is licensed under the Apache License (Version 2.0, January 2004) - see the [LICENSE](LICENSE) file for details

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