Metadata-Version: 2.1
Name: pyfab
Version: 0.3.4.post12
Summary: Python interface to the Fabber toolkit for Bayesian model fitting
Home-page: https://fabber_core.readthedocs.io/
Author: Martin Craig
Author-email: martin.craig@eng.ox.ac.uk
License: License granted by University of Oxford for use by academics carrying out research and not for use by consumers or commercial businesses. See LICENSE file for more details
Description: PYFAB - Python interface to the Fabber Bayesian model fitting tool
        ==================================================================
        
        Fabber is a Bayesian model-fitting framework designed to fit nonlinear
        parameterised models to timeseries data, particularly 4D fMRI data
        such as ASL, CEST, DCE, DSC, etc.
        
        PYFAB offers a Python interface to the tool which can work with
        the command line Fabber tool, or the shared library version, 
        depending on which is installed.
        
        Fabber must be installed before use - See https://fabber_core.readthedocs.io/.
        Fabber and a selection of models will be available in the upcoming
        FSL 6.0.1 release
        
        Full documentation at https://pyfab.readthedocs.io/
        
        
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Science/Research
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Classifier: License :: Free for non-commercial use
Description-Content-Type: text/markdown
