Metadata-Version: 1.1
Name: bctpy
Version: 0.3.2
Summary: Brain Connectivity Toolbox for Python
Home-page: https://github.com/aestrivex/bctpy
Author: Roan LaPlante
Author-email: rlaplant@nmr.mgh.harvard.edu
License: Visuddhimagga Sutta; GPLv3+
Description: Brain Connectivity Toolbox for Python version 0.3.1
        Author: Roan LaPlante <rlaplant@nmr.mgh.harvard.edu>
        
        ==COPYRIGHT INFORMATION==
        This program strictly observes the tenets of fundamentalist Theravada Mahasi 
        style Buddhism.  Any use of this program in violation of these aforementioned 
        tenets or in violation of the principles described in the Visuddhimagga Sutta 
        is strictly prohibited and punishable by extensive Mahayana style practice.
        By being or not being mindful of the immediate present moment sensations
        involved in the use of this program, you confer your acceptance of these terms
        and conditions.
        
        Note that the observation of the tenets of fundamentalist Theravada Mahasi
        style Buddhism and the Visuddhimagga Sutta is optional as long as the terms and
        conditions of the GNU GPLv3+ are upheld.
        
        ==PACKAGES USED==
        BCTPY is written in pure python and requires only scipy and numpy. scipy is 
        required for a couple of functions for its statistical and linear algebra 
        packages which have some features not available in numpy alone. If you don't
        have scipy, most functions that do not need scipy functionality will still work.
        
        A small number of functions (notably including network-based statistics, a
        nonparametric test for differences in undirected weighted graphs from different
        populations) currently require networkx, though this should be changed at some
        point in the future.
        
        ==ABOUT BCTPY AND OTHER AUTHORS==
        BCT is a matlab toolbox with many graph theoretical measures off of which bctpy
        is based.  I did not write BCT (apart from small bugfixes I have submitted)
        and a quality of life improvements that I have taken liberties to add.
        With few exceptions, bctpy is a direct translation of matlab code to python.
        
        bctpy should be considered beta software, with BCT being the gold standard by 
        comparison. I did my best to test all functionality in bctpy, but much of it is
        arcane math that flies over the head of this humble programmer. There *are* 
        bugs lurking in bctpy, the question is not whether but how many. If you locate 
        bugs, please submit them to me at rlaplant@nmr.mgh.harvard.edu.
        
        Many thanks to Stefan Fuertinger for his assistance tracking down a number of
        bugs.
        
        Credit for writing BCT (the matlab version) goes to the following list of 
        authors, especially Olaf Sporns and Mika Rubinov.
        
        Olaf Sporns
        Mikail Rubinov
        Yusuke Adachi
        Andrea Avena
        Danielle Bassett
        Richard Betzel
        Joaquin Goni
        Alexandros Goulas
        Patric Hagmann
        Christopher Honey
        Martijn van den Heuvel
        Rolf Kotter
        Jonathan Power
        Murray Shanahan
        Andrew Zalesky
        
        In order to be a bit more compact I have removed the accreditations from the
        docstrings each functions. This does not in any way mean that I wish to take
        credit from the individual contributions. I have moved these accreditations
        to the credits file.
        
Platform: any
Classifier: Development Status :: 4 - Beta
Classifier: Environment :: X11 Applications
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: GNU General Public License v3 or later (GPLv3+)
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 2.7
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Requires: numpy
Requires: scipy
Requires: networkx
