Metadata-Version: 1.0
Name: multichain_mcmc
Version: 0.2.1
Summary: Framework based on PyMC for multichain MCMC algorithms; implementation of DREAM_ZS.
Home-page: pypi.python.org/pypi/multichain_mcmc
Author: John Salvatier
Author-email: jsalvati@u.washington.edu
License: BSD
Description: 
        A simple framework based on PyMC for multichain MCMC algorithms.
        
        Also contains an implementation of DREAM_ZS based on the algorithms presented in the following two papers:
        
        C.J.F. ter Braak, and J.A. Vrugt, Differential evolution Markov chain with
        snooker updater and fewer chains, Statistics and Computing, 18(4),
        435-446, doi:10.1007/s11222-008-9104-9, 2008.
        
        J.A. Vrugt, C.J.F. ter Braak, C.G.H. Diks, D. Higdon, B.A. Robinson, and
        J.M. Hyman, Accelerating Markov chain Monte Carlo simulation by
        differential evolution with self-adaptive randomized subspace sampling,
        International Journal of Nonlinear Sciences and Numerical
        Simulation, 10(3), 273-290, 2009.
        
Platform: UNKNOWN
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Programming Language :: Python
Classifier: License :: OSI Approved :: BSD License
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: Operating System :: OS Independent
