pyLICORS

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/