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=========
Epimodels
=========
**Epimodels** is a library of mathematical models for epidemiology, to be used for simulations. It contains both Deterministic and Stochastic models in continuous and discrete time. Some Stochastic models are also discrete in the state variables (birth and death processes).
.. note::
This library is under development. Contributions are welcome.
Contents
========
.. toctree::
:maxdepth: 2
Getting Started <geting_started>
License <license>
Authors <authors>
Changelog <changelog>
Module Reference <api/modules>
Indices and tables
==================
* :ref:`genindex`
* :ref:`modindex`
* :ref:`search`
.. _toctree: http://www.sphinx-doc.org/en/master/usage/restructuredtext/directives.html
.. _reStructuredText: http://www.sphinx-doc.org/en/master/usage/restructuredtext/basics.html
.. _references: http://www.sphinx-doc.org/en/stable/markup/inline.html
.. _Python domain syntax: http://sphinx-doc.org/domains.html#the-python-domain
.. _Sphinx: http://www.sphinx-doc.org/
.. _Python: http://docs.python.org/
.. _Numpy: http://docs.scipy.org/doc/numpy
.. _SciPy: http://docs.scipy.org/doc/scipy/reference/
.. _matplotlib: https://matplotlib.org/contents.html#
.. _Pandas: http://pandas.pydata.org/pandas-docs/stable
.. _Scikit-Learn: http://scikit-learn.org/stable
.. _autodoc: http://www.sphinx-doc.org/en/stable/ext/autodoc.html
.. _Google style: https://github.com/google/styleguide/blob/gh-pages/pyguide.md#38-comments-and-docstrings
.. _NumPy style: https://numpydoc.readthedocs.io/en/latest/format.html
.. _classical style: http://www.sphinx-doc.org/en/stable/domains.html#info-field-lists
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