Skip to main content

A flexible and fast mixed model toolbox.

Project description

# Limix

[![PyPI-License](]( [![PyPI-Version](]( [![Anaconda-Server Badge](]( [![Documentation Status](](

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

iPython notebook tutorials are available from github repository:

These tutorials can also be viewed using the ipython notebook viewer:

## Highlights

## Install

The recommended way of installing it is via [conda]( `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]( one.

## Problems

If you encounter any issue, please, [submit it](

## Authors

## License

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

Project details

Release history Release notifications

Download files

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

Filename, size & hash SHA256 hash help File type Python version Upload date
limix-1.0.18.tar.gz (884.7 kB) Copy SHA256 hash SHA256 Source None Jul 11, 2018

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN SignalFx SignalFx Supporter DigiCert DigiCert EV certificate StatusPage StatusPage Status page