semvec/pypi-packages huggingface dataset:
lim 1.2.8
Lim.
License: MIT

lim
===

|PyPI-License| |PyPI-Version| |Documentation Status|

Lim is an efficient implementation of Generalized Linear Mixed Models
for genomic analysis.

Install
-------

The recommended way of installing it is via
`conda <http://conda.pydata.org/docs/index.html>`__

.. code:: bash

    conda install -c conda-forge limix-inference
    conda install h5py pandas tabulate pytest

and then

.. code:: bash

    pip install lim

Running the tests
-----------------

After installation, you can test it

::

    python -c "import lim; lim.test()"

as long as you have `pytest <http://docs.pytest.org/en/latest/>`__.

Documentation
-------------

Refer to the `documentation <http://lim.readthedocs.io/en/latest/>`__
for detailed information.

Authors
-------

-  **Christoph Lippert** - https://github.com/clippert
-  **Danilo Horta** - https://github.com/Horta
-  **Oliver Stegle** - https://github.com/ostegle
-  **Paolo Francesco Casale** - https://github.com/fpcasale

License
-------

This project is licensed under the MIT License -- see the
`LICENSE <LICENSE>`__ file for details.

.. |PyPI-License| image:: https://img.shields.io/pypi/l/lim.svg?style=flat-square
   :target: https://pypi.python.org/pypi/lim/
.. |PyPI-Version| image:: https://img.shields.io/pypi/v/lim.svg?style=flat-square
   :target: https://pypi.python.org/pypi/lim/
.. |Documentation Status| image:: https://readthedocs.org/projects/lim/badge/?style=flat-square&version=latest
   :target: http://lim.readthedocs.io/en/latest/