Metadata-Version: 1.2
Name: nistats
Version: 0.0.1b0
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
Description: .. -*- 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
        * Patsy >= 0.4.1
        
        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
        =======
        
        In order to perform the installation, run the following command from the nistats directory::
        
            python setup.py install --user
        
        
        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
        
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
