.. bayes_meeg documentation master file, created by
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bayes_meeg
==========

Installation
============

We recommend the `Anaconda Python distribution <https://www.continuum.io/downloads>`_. To install ``bayes_meeg``, you first need to install its dependencies::

	$ conda install numpy matplotlib scipy mayavi numba
	$ pip install -U mne

If you want to install the latest version of the code (nightly) use::

	$ pip install https://api.github.com/repos/yousrabk/bayes_meeg/zipball/master

If you do not have admin privileges on the computer, use the ``--user`` flag
with `pip`. To upgrade, use the ``--upgrade`` flag provided by `pip`.

To check if everything worked fine, you can do::

	$ python -c 'import bayes_meeg'

and it should not give any error messages.

Bug reports
===========

Use the `github issue tracker <https://github.com/yousrabk/bayes_meeg/issues>`_ to report bugs.

Cite
====

[1] Bekhti, Y., Lucka, F., Salmon, J., & Gramfort, A. (2018). "`A hierarchical Bayesian perspective on majorization-minimization for non-convex sparse regression: application to M/EEG source imaging <http://iopscience.iop.org/article/10.1088/1361-6420/aac9b3/pdf>`_."
Inverse Problems.