Metadata-Version: 1.2
Name: SUITPy
Version: 1.2.0
Summary: Mapping and plotting cerebellar fMRI data in Python
Home-page: https://github.com/DiedrichsenLab/SUITPy
Maintainer: Jorn Diedrichsen
Maintainer-email: jdiedric@uwo.ca
License: MIT
Download-URL: https://github.com/DiedrichsenLab/SUITPy/archive/refs/tags/v.1.2.0.tar.gz
Description: SUITPy: Analysis and visualization of cerebellar imaging data.
        ==============================================================
        
        The package provides some basic functionality of the original SUIT toolbox for Matlab (https://github.com/jdiedrichsen/suit).
        Currently, only mapping of volume data to the flatmap and display of the flatmap are implemented.
        
        Important links
        ---------------
        
        - SUIT website: http://diedrichsenlab.org/imaging/suit.htm
        - Official source code repository: https://github.com/SUITPy/
        - HTML documentation (latest release): https://suitpy.readthedocs.io/
        
        Dependencies
        ------------
        
        The required dependencies to use the software are:
        
        * python >= 3.6
        * setuptools
        * numpy >= 1.16
        * nibabel >= 2.5
        * pandas >= 0.24
        * matplotlib >= 1.5.1
        * scipy >=1.0
        
        Install
        -------
        
        First make sure you have installed all the dependencies listed above.
        Then you can install SUITPy by running the following command in
        a command prompt::
        
            pip install -U --user SUITPy
        
        More detailed instructions are available at
        https://suitpy.readthedocs.io/en/latest/install.html
        
        
        Licence and Acknowledgements
        ----------------------------
        The Python version of the SUIT toolbox has been developed by the Diedrichsenlab including J. Diedrichsen, M. King, D. Zhi, C. Hernandez-Castillo, S. Witt and others. It is distributed under MIT License, meaning that it can be freely used and re-used, as long as proper attribution in form of acknowledgments and links (for online use) or citations (in publications) are given. The relevant references are:
        
        SUIT normalisation and template:
        
        - Diedrichsen, J. (2006). A spatially unbiased atlas template of the human cerebellum. Neuroimage. 33(1), 127-138.
        
        Surface-based representation and flatmap
        
        - Diedrichsen, J. & Zotow, E. (2015). Surface-based display of volume-averaged cerebellar data. PLOSOne.
        
Platform: UNKNOWN
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved
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 :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Requires-Python: >=3.6
