Metadata-Version: 1.1
Name: adamet
Version: 2.0.7
Summary: AdaMet: Adaptive Metropolis for Bayesian Analysis
Home-page: http://purl.org/cappellari/software
Author: Michele Cappellari
Author-email: michele.cappellari@physics.ox.ac.uk
License: Other/Proprietary License
Description: The AdaMet Package
        ==================
        
        **Adaptive Metropolis for Bayesian Analysis**
        
        .. image:: https://img.shields.io/pypi/v/adamet.svg
                :target: https://pypi.org/project/adamet/
        .. image:: https://img.shields.io/badge/arXiv-1208.3522-orange.svg
            :target: https://arxiv.org/abs/1208.3522
        .. image:: https://img.shields.io/badge/DOI-10.1093/mnras/stt562-blue.svg
            :target: https://doi.org/10.1093/mnras/stt562
        
        AdaMet is a well-tested Python implementation of the Adaptive Metropolis algorithm by
        `Haario H., Saksman E., Tamminen J., (2001) <https://projecteuclid.org/euclid.bj/1080222083>`_.
        It was used in a number of published papers in the astrophysics literature.
        
        Attribution
        -----------
        
        If you use this software for your research, please cite 
        `Cappellari et al. (2013a) <http://adsabs.harvard.edu/abs/2013MNRAS.432.1709C>`_ 
        where the implementation was introduced. The BibTeX entry for the paper is::
        
            @ARTICLE{Cappellari2013a,
                author = {{Cappellari}, M. and {Scott}, N. and {Alatalo}, K. and
                    {Blitz}, L. and {Bois}, M. and {Bournaud}, F. and {Bureau}, M. and
                    {Crocker}, A.~F. and {Davies}, R.~L. and {Davis}, T.~A. and {de Zeeuw},
                    P.~T. and {Duc}, P.-A. and {Emsellem}, E. and {Khochfar}, S. and
                    {Krajnovi{\'c}}, D. and {Kuntschner}, H. and {McDermid}, R.~M. and
                    {Morganti}, R. and {Naab}, T. and {Oosterloo}, T. and {Sarzi}, M. and
                    {Serra}, P. and {Weijmans}, A.-M. and {Young}, L.~M.},
                title = "{The ATLAS$^{3D}$ project - XV. Benchmark for early-type
                    galaxies scaling relations from 260 dynamical models: mass-to-light
                    ratio, dark matter, Fundamental Plane and Mass Plane}",
                journal = {MNRAS},
                eprint = {1208.3522},
                year = 2013,
                volume = 432,
                pages = {1709-1741},
                doi = {10.1093/mnras/stt562}
            }
        
        Installation
        ------------
        
        install with::
        
            pip install adamet
        
        Without writing access to the global ``site-packages`` directory, use::
        
            pip install --user adamet
        
        Documentation
        -------------
        
        See ``adamet/examples``
        
        License
        -------
        
        Copyright (c) 2012-2018 Michele Cappellari
        
        This software is provided as is without any warranty whatsoever.
        Permission to use, for non-commercial purposes is granted.
        Permission to modify for personal or internal use is granted,
        provided this copyright and disclaimer are included in all
        copies of the software. All other rights are reserved.
        In particular, redistribution of the code is not allowed.
        
        
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
