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A Python interface for predictive state estimation from spatio-temporal data

Project description

pyLICORS: readme
================
``pylicors`` is a Python module for predictive state estimation from
continuous valued spatio-temporal data.

.. warning::
This package is in a **Planning status**. That means it has only very limited
functionality, and function names, arguments, output, etc. **WILL** change in
the future. Do not use this yet for any more involved analysis or automated
analysis of any kind. The code you write now **will break** with the next releases.

``pylicors`` has two *cousins* in `R<www.r-project.org>`_:
- `LICORS<cran.r-project.org/web/packages/LICORS>`_
- `LSC<cran.r-project.org/web/packages/LSC>`_

Support and Documentation
-------------------------

See `pylicors website <http://pypi.python.org/pypi/pylicors>`_
on `PyPI <http://pypi.python.org/pypi/>`_ to view
documentation, report bugs, and obtain support.

License
-------

``pylicors`` is offered under the `GPL3 license
<http://opensource.org/licenses/gpl-3.0.html>`_.

Authors
-------

``pylicors`` is developed and maintained by `Georg M. Goerg
<http://www.stat.cmu.edu/~gmg>`_.

Credits
-------

- `numpy`_
- `pyopencv`_
- `OpenCV`_

.. _numpy: numpy.scipy.org/
.. _pyopencv: http://code.google.com/p/pyopencv/
.. _`OpenCV`: http://opencv.willowgarage.com/wiki/

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