.. -*- mode: rst -*-

People
------

This work is based on developments initiated in the nipy
`nipy <http://nipy.org/nipy/stable>`_ project. It is made available by a 
`community <https://github.com/nistats/nistats/graphs/contributors>`_ of 
people, amongst which the INRIA Parietal Project Team and 
D'esposito lab at Berkeley.


Citing nistats
------------------------

There is no paper published yet about nistats. We are waiting for the package to mature a bit. However the package relies importantly on the nilearn package that has been described in: `Machine learning for neuroimaging with
scikit-learn
<http://journal.frontiersin.org/article/10.3389/fninf.2014.00014/abstract>`_.

We suggest that you read and cite the paper. Thank you.


Citing nilearn
------------------------

There is no paper published yet about nilearn. We are waiting for the
package to mature a bit. However, the patterns underlying the package
have been described in: `Machine learning for neuroimaging with
scikit-learn
<http://journal.frontiersin.org/article/10.3389/fninf.2014.00014/abstract>`_.

We suggest that you read and cite the paper. Thank you.


Citing scikit-learn
------------------------

A huge amount of work goes in the scikit-learn. Researchers that invest
their time in developing and maintaining the package deserve recognition
with citations. In addition, the Parietal team needs the citations to the
paper in order to justify paying a software engineer on the project. To
guarantee the future of the toolkit, if you use it, please cite it.

See the scikit-learn documentation on `how to cite
<http://scikit-learn.org/stable/about.html#citing-scikit-learn>`_.