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        "author": "Paul Freeman",
        "author_email": "paul.freeman.cs@gmail.com",
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            "Development Status :: 5 - Production/Stable",
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            "Environment :: MacOS X",
            "Environment :: Win32 (MS Windows)",
            "Environment :: X11 Applications",
            "Intended Audience :: Customer Service",
            "Intended Audience :: Developers",
            "Intended Audience :: Education",
            "Intended Audience :: Financial and Insurance Industry",
            "Intended Audience :: Healthcare Industry",
            "Intended Audience :: Manufacturing",
            "Intended Audience :: Other Audience",
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: BSD License",
            "Natural Language :: English",
            "Operating System :: MacOS",
            "Operating System :: Microsoft",
            "Operating System :: Microsoft :: Windows",
            "Operating System :: OS Independent",
            "Operating System :: POSIX",
            "Operating System :: Unix",
            "Programming Language :: Python",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.4",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
            "Topic :: Education",
            "Topic :: Scientific/Engineering",
            "Topic :: Scientific/Engineering :: Chemistry",
            "Topic :: Scientific/Engineering :: Electronic Design Automation (EDA)",
            "Topic :: Scientific/Engineering :: Information Analysis",
            "Topic :: Scientific/Engineering :: Mathematics",
            "Topic :: Scientific/Engineering :: Physics",
            "Topic :: Software Development",
            "Topic :: Software Development :: Libraries",
            "Topic :: Software Development :: Libraries :: Python Modules",
            "Topic :: Utilities"
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        "description": "================================\n``mcerp3`` Package Documentation\n================================\n\nOverview\n========\n\n``mcerp3`` is a stochastic calculator for `Monte Carlo methods`_ that uses \n`latin-hypercube sampling`_ to perform non-order specific \n`error propagation`_ (or uncertainty analysis). \n\nWith this package you can **easily** and **transparently** track the effects\nof uncertainty through mathematical calculations. Advanced mathematical \nfunctions, similar to those in the standard `math`_ module, and statistical\nfunctions like those in the `scipy.stats`_ module, can also be evaluated \ndirectly.\n\nIf you are familiar with Excel-based risk analysis programs like *@Risk*, \n*Crystal Ball*, *ModelRisk*, etc., this package **will work wonders** for you\n(and probably even be faster!) and give you more modelling flexibility with \nthe powerful Python language. This package also *doesn't cost a penny*, \ncompared to those commercial packages which cost *thousands of dollars* for a \nsingle-seat license. Feel free to copy and redistribute this package as much \nas you desire!\n\nWhat's New In This Release\n==========================\n\n- this is a Python 3 release of the mcerp package by Abraham Lee\n\n- available via ``conda`` or ``pip``\n\n- officially adds the 3-clause BSD licesnse text to the software\n  (this license has been specified in the mcerp PyPI package for years)  \n\n- supports SciPy >= 1.0 by removing the scipy.stats.signaltonoise function\n\nMain Features\n=============\n\n1. **Transparent calculations**. **No or little modification** to existing \n   code required.\n\n2. Basic `NumPy`_ support without modification. (I haven't done extensive \n   testing, so please let me know if you encounter bugs.)\n\n3. Advanced mathematical functions supported through the ``mcerp.umath`` \n   sub-module. If you think a function is in there, it probably is. If it \n   isn't, please request it!\n\n4. **Easy statistical distribution constructors**. The location, scale, \n   and shape parameters follow the notation in the respective Wikipedia \n   articles and other relevant web pages.\n\n5. **Correlation enforcement** and variable sample visualization capabilities.\n\n6. **Probability calculations** using conventional comparison operators.\n\n7. Advanced Scipy **statistical function compatibility** with package \n   functions. Depending on your version of Scipy, some functions might not\n   work.\n\n8. Python 3 support\n\nInstallation\n============\n\nHow to install\n--------------\n\nEffort has been made to ensure ``mcerp3`` is easy to install.\n\n#. From the command-line, do one of the following:\n\n   a. Install the `conda package`_::\n\n       $ conda install mcerp3 -c freemapa\n\n   b. Install the `PyPI package`_::\n\n       $ pip install mcerp3\n\nThe `source code`_ is also freely available, in case you would like to\nincorporate it directly into your project. However, when possible, it is\nusually easier to let your package manager handle things for you.\n\nRequired Packages\n-----------------\n\nThe following packages are required, but should be installed automatically\n(if using ``conda`` or ``pip``). Otherwise, they may need to be installed\nmanually:\n\n- `NumPy`_ : Numeric Python\n- `SciPy`_ : Scientific Python\n- `Matplotlib`_ : Python plotting library\n\nSee also\n========\n\n- `uncertainties`_ : First-order error propagation\n- `soerp`_ : Second-order error propagation\n\nContact\n=======\n\nBugs should be reported on the `GitHub issues`_ page. Python 3 related\nrequests can be sent to `Paul Freeman`_. Other issues should be referred to\nthe original author, `Abraham Lee`_.\n\n\n\n.. _Monte Carlo methods: http://en.wikipedia.org/wiki/Monte_Carlo_method\n.. _latin-hypercube sampling: http://en.wikipedia.org/wiki/Latin_hypercube_sampling\n.. _soerp: http://pypi.python.org/pypi/soerp\n.. _error propagation: http://en.wikipedia.org/wiki/Propagation_of_uncertainty\n.. _math: http://docs.python.org/library/math.html\n.. _NumPy: http://www.numpy.org/\n.. _SciPy: http://scipy.org\n.. _Matplotlib: http://matplotlib.org/\n.. _scipy.stats: http://docs.scipy.org/doc/scipy/reference/stats.html\n.. _uncertainties: http://pypi.python.org/pypi/uncertainties\n.. _source code: https://github.com/paul-freeman/mcerp\n.. _Abraham Lee: mailto:tisimst@gmail.com\n.. _Paul Freeman: mailto:paul.freeman.cs@gmail.com\n.. _package documentation: http://pythonhosted.org/mcerp3\n.. _GitHub: http://github.com/paul-freeman/mcerp\n.. _GitHub issues: http://github.com/paul-freeman/mcerp/issues\n.. _conda package: https://anaconda.org/freemapa/mcerp3\n.. _PyPI package: https://pypi.org/project/mcerp3/\n\n\n",
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