Metadata-Version: 1.1
Name: glimix-core
Version: 1.3.7
Summary: Fast inference for Generalised Linear Mixed Models
Home-page: https://github.com/limix/glimix-core
Author: Danilo Horta
Author-email: horta@ebi.ac.uk
License: MIT
Description-Content-Type: UNKNOWN
Description: 
        glimix-core
        ===========
        
        .. image:: https://github.com/limix/glimix-core/blob/develop/logo.png
        
        |PyPI-Status| |Conda-Forge-Status| |Conda-Downloads| |Build-Status| |Codacy-Grade| |License-Badge| |Doc-Status|
        
        Fast inference over mean and covariance parameters for Generalised Linear Mixed Models.
        It implements the mathematical tricks of FaST-LMM_ for the special case of Linear Mixed Models
        with a linear covariance matrix and provides an interface to perform inference over millions of
        covariates in seconds. (Refer to FastScanner_ for details.)
        The Generalised Linear Mixed Model inference is implemented via Expectation Propagation and
        also makes use of several mathematical tricks to handle large data sets with thousands of samples
        and millions of covariates. (Refer to GLMMExpFam_ and FastScanner_ for details.)
        
        Install
        -------
        
        The recommended way of installing it is via conda_
        
        .. code:: bash
        
            conda install -c conda-forge glimix-core
        
        An alternative way would be via pip_
        
        .. code:: bash
        
            pip install glimix-core
        
        Running the tests
        -----------------
        
        After installation, you can test it
        
        .. code:: bash
        
            python -c "import glimix_core; glimix_core.test()"
        
        as long as you have pytest_.
        
        Authors
        -------
        
        * `Danilo Horta`_
        
        License
        -------
        
        This project is licensed under the MIT License - see the `License file`_ file
        for details.
        
        .. |Build-Status| image:: https://travis-ci.org/limix/glimix-core.svg?branch=master
            :target: https://travis-ci.org/limix/glimix-core
        
        .. |Codacy-Grade| image:: https://api.codacy.com/project/badge/Grade/e0227434c8f040888ff92d1a4d67bcc8
            :target: https://www.codacy.com/app/danilo.horta/glimix-core?utm_source=github.com&utm_medium=referral&utm_content=limix/glimix-core&utm_campaign=badger
        
        .. |PyPI-Status| image:: https://img.shields.io/pypi/v/glimix-core.svg
            :target: https://pypi.python.org/pypi/glimix-core
        
        .. |PyPI-Versions| image:: https://img.shields.io/pypi/pyversions/glimix-core.svg
            :target: https://pypi.python.org/pypi/glimix-core
        
        .. |Conda-Forge-Status| image:: https://anaconda.org/conda-forge/glimix-core/badges/version.svg
            :target: https://anaconda.org/conda-forge/glimix-core
        
        .. |Conda-Downloads| image:: https://anaconda.org/conda-forge/glimix-core/badges/downloads.svg?style=flat
            :target: https://anaconda.org/conda-forge/glimix-core
        
        .. |License-Badge| image:: https://img.shields.io/pypi/l/glimix-core.svg
            :target: https://raw.githubusercontent.com/limix/glimix-core/master/LICENSE.txt
        
        .. |Doc-Status| image:: https://readthedocs.org/projects/glimix-core/badge/?style=flat&version=stable
            :target: https://glimix-core.readthedocs.io/
        
        .. _License file: https://raw.githubusercontent.com/limix/glimix-core/master/LICENSE.txt
        
        .. _Danilo Horta: https://github.com/horta
        
        .. _conda: http://conda.pydata.org/docs/index.html
        
        .. _pip: https://pypi.python.org/pypi/pip
        
        .. _pytest: http://docs.pytest.org/en/latest/
        
        .. _FaST-LMM: https://github.com/MicrosoftGenomics/FaST-LMM
        
        .. _FastScanner: http://glimix-core.readthedocs.io/en/stable/lmm.html#glimix_core.lmm.FastScanner
        
        .. _GLMMExpFam: http://glimix-core.readthedocs.io/en/stable/glmm.html#glmmexpfam-class
        
Keywords: lmm,glmm,gwas
Platform: any
Classifier: Development Status :: 5 - Production/Stable
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
