#MarkovPy
##AUTHOR
Daniel Foreman-Mackey - danfm at nyu dot edu
If you find this code useful in your research, please let me know and consider citing this package. Thanks!
##INTRODUCTION
MarkovPy is an extensible, pure-Python implementation of Markov chain Monte Carlo (MCMC) curve fitting. The calling syntax is designed to be like scipy.optimize so that it can (almost) be a drop in replacement.
There are currently no plans to port the included ensemble sampler to PyMC or any other platforms but such ports would (of course) be welcomed.
##INSTALLATION
Navigate to this directory and run
% python setup.py install
on the command line to install a module called markovpy in the default Python path.
##DEPENDENCIES
This package requires NumPy and it has been tested on Python 2.6.5.
##USAGE
See the wiki for information tutorials, documentation and sample code.
##LICENSE
MarkovPy is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License version 2 as published by the Free Software Foundation.
MarkovPy is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.
You should have received a copy of the GNU General Public License along with MarkovPy. If not, see http://www.gnu.org/licenses/.