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Dependencies
------------

python >= 2.5

    www.python.org

numpy >= 1.4.0

    www.numpy.org

scipy >= 0.7
    
    www.scipy.org

pandas >= 0.7.1

    pydata.pandas.org


Optional Dependencies
---------------------

cython >= 0.15.1

    http://cython.org/

    If Cython is available during installation from source faster functions
    will be installed in some places provided you have a C compiler. It is
    recommended to install from source with Cython available, as this will not
    be optional in the 0.5 release.

matplotlib >= 1.0.0

    http://matplotlib.sf.net/

    Matplotlib is needed for plotting functionality and running many of the
    examples.

sphinx >= 1.0.0

    http://sphinx.pocoo.org/

    Sphinx is used to build the documentation.

nose >= 1.0.0

    http://readthedocs.org/docs/nose/en/latest/

    Nose is needed to run the tests.


Easy Install
------------

To get the latest release using easy_install you need setuptools (easy_install):

    http://peak.telecommunity.com/DevCenter/EasyInstall

Then you can do (with proper permissions):

    easy_install -U statsmodels


Ubuntu/Debian
-------------

On Ubuntu you can get dependencies through:

    sudo apt-get install python python-dev python-setuptools python-numpy python-scipy
    easy_install -U pandas
    easy_install -U cython

Alternatively, you can install from the NeuroDebian repository:
    
    http://neuro.debian.net


Installing from Source
----------------------

Download and extract the source distribution from PyPI or github

    http://pypi.python.org/pypi/statsmodels
    https://github.com/statsmodels/statsmodels/tags

Or clone the bleeding edge code from our repository on github at

    git clone git://github.com/statsmodels/statsmodels.git

In the statsmodels directory do (with proper permissions)

    python setup.py install


Installing from Source on Windows
---------------------------------

See http://statsmodels.sf.net/devel/install.html#windows.


Documentation
-------------

You may find more information about the project and installation in our
documentation

http://statsmodels.sf.net/devel/install.html
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