A flexible and fast mixed model toolbox.
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.
The recommended way of installing it is via conda
conda install -c conda-forge limix
An alternative way would be via pip
pip install limix
In the second option, you will need to sort out some of its dependencies. At least the liknorm one.
If you encounter any issue, please, submit it.
This project is licensed under the Apache License (Version 2.0, January 2004) - see the LICENSE file for details
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|File Name & Checksum SHA256 Checksum Help||Version||File Type||Upload Date|
|limix-1.0.12-py2-none-any.whl (933.1 kB) Copy SHA256 Checksum SHA256||py2||Wheel||Jul 10, 2017|
|limix-1.0.12-py3-none-any.whl (933.1 kB) Copy SHA256 Checksum SHA256||py3||Wheel||Jul 10, 2017|
|limix-1.0.12.tar.gz (2.5 MB) Copy SHA256 Checksum SHA256||–||Source||Jul 10, 2017|