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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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