Skip to main content

A flexible and fast mixed model toolbox written in C++/python

Project description

# LIMIX

## What is LIMIX?

LIMIX is a flexible and efficient linear mixed model library with interfaces to Python.
Limix is currently mainly developed by

Franceso Paolo Casale (casale@ebi.ac.uk)
Danilo Horta (horta@ebi.ac.uk)
Christoph Lippert (lippert@microsoft.com)
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.
* LIMIX is particular easy to install using the anaconda python distribution: https://store.continuum.io/cshop/anaconda.

* If you want to install LIMIX from source you require:
Python:
- scipy, numpy, pandas, cython

* Swig:
- swig 2.0 or higher (only required if you need to recompile C++ interfaces)

## 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/index.ipynb.
Alternative the sources file is available in the separate LIMIX tutorial repository:
https://github.com/PMBio/limix-tutorials

## 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

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

limix-0.7.12.tar.gz (3.0 MB view hashes)

Uploaded Source

Built Distribution

limix-0.7.12-py2.7-macosx-10.5-x86_64.egg (2.4 MB view hashes)

Uploaded Source

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page