Metadata-Version: 1.2
Name: nistats
Version: 0.0.1rc0
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 is being retired.**
        =============================
        
        	This repository is now archived.
        
        	It will not receive any further development or bug fixes.
        	Its functionality has now been incorporated into Nilearn's *stats*, *datasets*, and *reporting* modules.
        
        	It will be available in `Nilearn <http://nilearn.github.io>`_ 0.7.0 onwards, set to release in late 2020.
        	Please file issues and pull requests in Nilearn, from now on.
        
        	Credit for the various Pull Requests that  have been merged into Nistats are now visible in Nilearn.
        	Open issues have been moved into Nilearn.
        	Open PRs will need to be redone.
        
        
        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
        
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
