Metadata-Version: 1.1
Name: probfit
Version: 1.0.2
Summary: Distribution Fitting/Regression Library
Home-page: https://github.com/piti118/dist_fit
Author: Piti Ongmongkolkul
Author-email: piti118@gmail.com
License: UNKNOWN
Description: 
        
        probfit
        --------
        
        *probfit* is a set of functions that helps you construct a complex fit. It's
        intended to be used with `iminuit <http://iminuit.github.com/iminuit/>`_. The
        tool includes Binned/Unbinned Likelihood estimator, :math:`\chi^2` regression,
        Binned :math:`\chi^2` estimator and Simultaneous fit estimator.
        Various functors for manipulating PDF such as Normalization and
        Convolution(with caching) and various builtin functions
        normally used in B physics is also provided.
        
        Requirement
        -----------
        
        - iminuit https://iminuit.github.com/iminuit/
        - numpy http://www.numpy.org/
        - matplotlib http://matplotlib.org/
        
        Tutorial
        --------
        
        open tutorial.ipynb in ipython notebook. You can `view it online <http://nbviewer.ipython.org/urls/raw.github.com/piti118/probfit/master/tutorial/tutorial.ipynb>`_ too.
        
        
        Documentation
        -------------
        
        See `here <http://iminuit.github.com/probfit/>`_
        
Platform: UNKNOWN
Classifier: Programming Language :: Python
Classifier: Topic :: Scientific/Engineering :: Physics
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: Intended Audience :: Science/Research
Classifier: Development Status :: 4 - Beta
Classifier: License :: OSI Approved :: MIT License
Requires: numpy (>=1.6)
Requires: iminuit (>=1.0.2)
