Metadata-Version: 2.1
Name: nistats
Version: 0.0.1b2
Summary: Modeling and Statistical analysis of fMRI data in Python
Home-page: http://nistats.github.io
Maintainer: Bertrand Thirion
Maintainer-email: bertrand.thirion@inria.fr
License: new BSD
Download-URL: http://nistats.github.io
Platform: UNKNOWN
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved
Classifier: Programming Language :: C
Classifier: Programming Language :: Python
Classifier: Topic :: Software Development
Classifier: Topic :: Scientific/Engineering
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: POSIX
Classifier: Operating System :: Unix
Classifier: Operating System :: MacOS
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3.3
Classifier: Programming Language :: Python :: 3.4
Requires-Dist: numpy (>=1.11)
Requires-Dist: scipy (>=0.17)
Requires-Dist: scikit-learn (>=0.18)
Requires-Dist: nibabel (>=2.0.2)
Requires-Dist: nilearn (>=0.4)
Requires-Dist: pandas (>=0.18.0)

.. -*- mode: rst -*-

Nistats
=======

Nistats is a Python module for fast and easy modeling and statistical analysis
of functional Magnetic Resonance Imaging data.

It leverages the `nilearn <http://nilearn.github.io>`_ Python toolbox for
neuroimaging data manipulation (data downloading, visualization, masking).

This work is made available by a
`community <https://github.com/nistats/nistats/graphs/contributors>`_ of 
people, amongst which the INRIA Parietal Project Team and D'esposito lab at 
Berkeley.

It is based on developments initiated in the nipy
`nipy <http://nipy.org/nipy/stable>`_ project.

Important links
===============

- Official source code repo: https://github.com/nistats/nistats/
- HTML documentation (stable release): http://nistats.github.io/

Dependencies
============

The required dependencies to use the software are:

* Python >= 2.7
* setuptools
* Numpy >= 1.11
* SciPy >= 0.17
* Nibabel >= 2.0.2
* Nilearn >= 0.4.0
* Pandas >= 0.18.0
* Sklearn >= 0.18.0

If you are using nilearn plotting functionalities or running the
examples, matplotlib >= 1.5.1 is required.

If you want to run the tests, you need nose >= 1.2.1 and coverage >= 3.7.

If you want to download openneuro datasets Boto3 >= 1.2 is required


Install
=======

The installation instructions are found on the webpage:
https://nistats.github.io/

Development
===========

Code
----

GIT
~~~

You can check the latest sources with the command::

    git clone git://github.com/nistats/nistats

or if you have write privileges::

    git clone git@github.com:nistats/nistats


