Metadata-Version: 2.1
Name: limix
Version: 2.0.3
Summary: A flexible and fast mixed model toolbox
Home-page: https://github.com/limix/limix
Author: C. Lippert, D. Horta, F. P. Casale, and O. Stegle
Author-email: horta@ebi.ac.uk
Maintainer: Danilo Horta
Maintainer-email: horta@ebi.ac.uk
License: MIT
Download-URL: https://github.com/limix/limix
Description: # limix
        
        [![Travis](https://img.shields.io/travis/limix/limix.svg?style=flat-square&label=linux%20%2F%20macos%20build)](https://travis-ci.org/limix/limix) [![AppVeyor](https://img.shields.io/appveyor/ci/Horta/limix.svg?style=flat-square&label=windows%20build)](https://ci.appveyor.com/project/Horta/limix) [![Documentation](https://readthedocs.org/projects/limix/badge/?version=stable&style=flat-square)](https://limix.readthedocs.io/)
        
        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.
        It includes methods for
        
        - Single-variant association and interaction testing
        - Variance decompostion analysis with linear mixed models
        - Association and interaction set tests
        - Different utils for statistical analysis, basic i/o, and plotting.
        
        The documentation can be found at https://limix.readthedocs.io.
        
        ## Install
        
        Installation is easy and works on macOS, Linux, and Windows:
        
        ```bash
        pip install limix
        ```
        
        If you already have Limix but want to upgrade it to the latest version:
        
        ```bash
        pip install limix --upgrade
        ```
        
        ## Running tests
        
        After installation, you can test it
        
        ```bash
        python -c "import limix; limix.test()"
        ```
        
        as long as you have [pytest](https://docs.pytest.org/en/latest/).
        
        ## Authors
        
        * [Christoph Lippert](https://github.com/clippert)
        * [Danilo Horta](https://github.com/horta)
        * [Francesco Paolo Casale](https://github.com/fpcasale)
        * [Oliver Stegle](https://github.com/ostegle)
        
        ## License
        
        This project is licensed under the [Apache License License](https://raw.githubusercontent.com/limix/limix/2.0.0/LICENSE.md).
        
Keywords: association,glmm,lmm,genetics
Platform: Windows
Platform: MacOS
Platform: Linux
Classifier: Development Status :: 5 - Production/Stable
Classifier: Environment :: Console
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Description-Content-Type: text/markdown
