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        "author": "Yangbo He",
        "author_email": "heyb@pku.edu.cn",
        "bugtrack_url": null,
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            "Development Status :: 3 - Alpha",
            "Intended Audience :: Information Technology",
            "Programming Language :: Python :: 2.7",
            "Topic :: Scientific/Engineering :: Artificial Intelligence",
            "Topic :: Scientific/Engineering :: Mathematics"
        ],
        "description": "This package provides  functions for sampling from a space of Markov equivalence classes of directed acyclic graphs via a reversible MCMC, and for counting and exploring sizes of these classes.\r\n\r\nExample:\r\n\r\npip install   MarkovEquClasses\r\n\r\nfrom MarkovEquClasses import *\r\n\r\nsmalldemo()\r\n\r\n\r\n\r\n\r\nReference:\r\n\r\n\r\n\r\nYangbo He and Jinzhu Jia and Bin Yu, Reversible MCMC on Markov equivalence classes of sparse directed acyclic graphs, The Annals of Statistics,41(1),1742-1779,2013.\r\n\r\nYangbo He and Jinzhu Jia and Bin Yu, Supplement to \"Reversible MCMC on Markov equivalence classes of sparse directed acyclic graphs\",2013.[http://arxiv.org/abs/1303.0632] \r\n\r\nYangbo He and Jinzhu Jia and Bin Yu, Counting and Exploring Sizes of Markov Equivalence Classes of Directed Acyclic Graphs,To appear in Journal of machine learning research, 2015",
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        "home_page": "http://www.math.pku.edu.cn/teachers/heyb/",
        "keywords": "graphical models,causal learning,Markov equivalence class",
        "license": "MIT;",
        "maintainer": "Yangbo He",
        "maintainer_email": "heyb@pku.edu.cn",
        "name": "MarkovEquClasses",
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        "summary": "Algorithms for exploring Markov equivalence classes: MCMC, size counting",
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