A flexible and fast mixed model toolbox.
Project description
# Limix
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Limix is a flexible and efficient linear mixed model library with interfaces to Python. Genomic analyses require flexible models that can be adapted to the needs of the user. Limix is smart about how particular models are fitted to save computational cost.
LATEST: [iSet, interaction set tests for gene-context interactions, is now in Limix.](https://github.com/PMBio/limix-tutorials/tree/master/iSet)
## 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 (and likely to fail) would be via pip
` pip install limix `
## Usage
A good starting point is our package Vignettes. These tutorials are available from this repository: https://github.com/PMBio/limix-tutorials.
The main package vignette can also be viewed using the ipython notebook viewer: http://nbviewer.ipython.org/github/pmbio/limix-tutorials/blob/master/index.ipynb.
Alternatively, the source file is available in the separate Limix tutorial repository: https://github.com/PMBio/limix-tutorials
## Problems
If you encounter any issue, please, [submit it](https://github.com/PMBio/limix/issues).
## Authors
Christoph Lippert - [https://github.com/clippert](https://github.com/clippert)
Danilo Horta - [https://github.com/Horta](https://github.com/Horta)
Franceso Paolo Casale - [https://github.com/fpcasale](https://github.com/fpcasale)
Oliver Stegle - [https://github.com/ostegle](https://github.com/ostegle)
## 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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