Metadata-Version: 1.1
Name: limix
Version: 0.5.8
Summary: A flexible and fast mixed model toolbox written in C++/python
Home-page: http://
Author: Christoph Lippert, Paolo Casale, Oliver Stegle
Author-email: lippert@microsoft.com, stegle@ebi.ac.uk
License: BSD
Description: # LIMIX
        
        ## What is LIMIX?
        
        LIMIX is a flexible and efficient linear mixed model library with interfaces to Python and other scripting languages.
        
        By Christoph Lippert (lippert@microsoft.com),
        Franceso Paolo Casale (casale@ebi.ac.uk), and Oliver Stegle (stegle@ebi.ac.uk) 
        
        
        ## Philosophy 
        
        Genomic analyses require flexible models that can be adapted to the needs of the user. 
        LIMIX is smart about how particular models are fit to safe computational cost. 
        
        
        ## Installation:
        
        * Recommended is an installation via pypi.
        * pip install limix will work on most systems.
        
        * If you want to install LIMIX from source you require:
        Python:
        - scons, scipy, numpy
        
        * Swig:
        - swig 2.0 or higher
        
        ## How to use LIMIX?
        A good starting point is our package Vignettes. These tutorials can are available in 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/tutorial_yeast.ipynb or by downloading the PDF equivalent: https://github.com/PMBio/limix-tutorials/blob/master/tutorial_yeast.pdf.
        
        More extensive documentation will be available soon.
        
        ## Problems ? 
        If you want to use LIMIX and encounter any issues, please contact us by email: limix@mixed-models.org
        
        ## License
        See [LICENSE] https://github.com/PMBio/limix/blob/master/license.txt
        
Keywords: linear mixed models,GWAS,QTL
Platform: UNKNOWN
Requires: scipy
Requires: numpy
Requires: matplotlib
Requires: pandas
Requires: scons
