Metadata-Version: 1.1
Name: gnm
Version: 1.0.3
Summary: Rock n Rolling awesome affine-invariant MCMC Sampler
Home-page: http://cims.nyu.edu/~mu388/gnm/
Author: Mehmet Ugurbil
Author-email: mu388@nyu.edu
License: MIT
Description: gnm: The MCMC Jagger 
        ====================
        
        **Rock and Rolling awesome Python package for affine-invariant MCMC sampling**
        
        gnm is a stable, well tested Python implementation of the affine-invariant sampler for Markov chain Monte Carlo (MCMC) that uses the Gauss-Newton-Metropolis (GNM) Algorithm. The GNM algorithm is specialized in sampling highly non-linear posterior probability distribution functions of the form exp(-||f(x)||^2/2). 
        
        
        Pages
        -----
        
        home_, github_
        
        .. _home: http://cims.nyu.edu/~mu388/gnm/
        
        .. _github: https://github.com/mugurbil/gnm
        
        Attribution
        -----------
        
        Goodman_
        
        .. _Goodman: http://www.math.nyu.edu/faculty/goodman/
        
        Copyright
        ---------
        
        Copyright 2016 `Mehmet Ugurbil`_ and contributors.
        
        .. _Mehmet Ugurbil: http://www.cims.nyu.edu/~mu388
        
        
        License
        -------
        
        gnm is a free software made available under the MIT LICENSE.
        
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 2.7
