Metadata-Version: 1.1
Name: fbu
Version: 0.0.3dev.2
Summary: UNKNOWN
Home-page: https://github.com/gerbaudo/fbu
Author: Davide Gerbaudo, Clement Helsens and Francesco Rubbo
Author-email: rubbo.francesco@gmail.com
License: LICENSE.txt
Description: .. image:: https://travis-ci.org/gerbaudo/fbu.png
           :target: https://travis-ci.org/gerbaudo/fbu
        
        =====
        PyFBU
        =====
        
        Implementation of the Fully Bayesian Unfolding algorithm described in
        `physics.data-an/1201.4612 <http://arxiv.org/abs/1201.4612>`_.
        The software is based on the Markov Chain Monte Carlo sampling toolkit 
        `PyMC <http://pymc-devs.github.io/pymc/>`_.
        
        Dependencies
        ------------
        
        PyFBU is tested on Python 2.6/2.7 and depends on NumPy, Matplotlib and PyMC.
        
        Installation
        ------------
        
        The use of an isolated Python environment is recommended:
        
        ::
         
            virtualenv ENVFBU
            cd ENVFBU
            source bin/activate
        
        Install NumPy-1.7.0 (this may take a while).
        
        ::
        
        	pip install "numpy>=1.7.0"
        
        
        Pip installation
        ~~~~~~~~~~~~~~~~
        
        The latest stable version of PyFBU can be installed using pip.
        
        ::
         
            pip install fbu
        
        This will also automatically install other missing dependencies
        (this might take another while, up to several minutes...).
        
        Alternative approach - git clone
        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
        
        Alternatively one can check out the development version of the code from the 
        `GitHub <https://github.com/gerbaudo/fbu>`_ repository:
        
        ::
        
        	git clone https://github.com/gerbaudo/fbu.git
        
        and follow the `quickstart <https://github.com/gerbaudo/fbu/blob/master/docs/quickstart.md>`_ 
        instructions.
        
        
        Usage
        -----
        
        A `simple tutorial <http://nbviewer.ipython.org/github/gerbaudo/fbu/blob/v0.0.2/tutorial.ipynb>`_
        to help you get started.
        
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: GNU General Public License v2 (GPLv2)
Classifier: Programming Language :: Python :: 2.7
Classifier: Topic :: Scientific/Engineering :: Physics
Classifier: Operating System :: OS Independent
