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        "author": "Jo\u00e3o Faria",
        "author_email": "joao.faria@astro.up.pt",
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            "License :: OSI Approved :: MIT License",
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        "description": "Kumaraswamy\n===========\n\nA simple implementation of the Kumaraswamy distribution.\n\n|License MIT| |PyPI version|\n\nHow to use\n----------\n\nInstall it from pip (**kumaraswamy** only depends on numpy)\n\n::\n\n    pip install kumaraswamy\n\nand it's ready to use from Python\n\n.. code:: python\n\n    import kumaraswamy\n\nThe package provides one simple class called ``kumaraswamy``, which implements the distribution.\nIt is intended to mimic the API of ``scipy.stats``.\n\n.. code:: python\n\n    from kumaraswamy import kumaraswamy\n\n    d1 = kumaraswamy(a=0.5, b=0.5)\n\nthe ``d1`` object now has methods\n\n-  ``pdf(x)`` and ``logpdf(x)``\n-  ``cdf(x)``\n-  ``rvs(size)``\n\nto calculate the probability density function (and its logarithm), the\ncumulative density function, and to get random samples from the\ndistribution.\n\nAlso available are some basic properties specific to the distribution\n\n.. code:: python\n\n    d1.mean\n    d1.var\n    d2.mode  # see help(d2.mode) for details\n\n\n\nLicense\n-------\n\nCopyright 2018 Jo\u00e3o Faria.\n\n**kumaraswamy** is free software made available under the MIT License. For\ndetails see the LICENSE_ file.\n\n.. _License: https://github.com/j-faria/Kumaraswamy/blob/master/LICENSE\n.. |License MIT| image:: http://img.shields.io/badge/license-MIT-blue.svg?style=flat\n   :target: https://github.com/j-faria/Kumaraswamy/blob/master/LICENSE\n.. |PyPI version| image:: https://badge.fury.io/py/Kumaraswamy.svg\n   :target: https://pypi.org/project/Kumaraswamy/\n\n\n",
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        "name": "kumaraswamy",
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        "summary": "Implementation of the Kumaraswamy distribution",
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