Update nistats link to nilearn link in docs
@@ -24,21 +24,21 @@ An overview of the analysis module
fitted to BIDS datasets.
A GLM can be concisely described with a json file, regardless of the software
- used to fit the model (e.g., `nistats`_, `AfNI`_, `FSL`_, `SPM`_).
+ used to fit the model (e.g., `nilearn`_, `AfNI`_, `FSL`_, `SPM`_).
The PyBIDS analysis module provides high-level model specification functionality
for BIDS datasets. It assumes that model information is represented in line with
the (upcoming) BIDS-Model specification.
Note that, at present, pybids.modeling does not provide a one-stop model-fitting
-solution. You will need to call some other package (e.g., `nistats`_, or a
+solution. You will need to call some other package (e.g., `nilearn`_, or a
non-Python package like `FSL`_ or `SPM`_ via `Nipype`_) to handle model estimation.
What pybids.modeling will do for you is automatically handle the loading and
transformation of all variables, and the construction of design matrices and
contrasts.
.. _BIDS Models specification: https://docs.google.com/document/d/1bq5eNDHTb6Nkx3WUiOBgKvLNnaa5OMcGtD0AZ9yms2M/edit#heading=h.mqkmyp254xh6
-.. _nistats: https://nistats.github.io
+.. _nilearn: https://nilearn.github.io
.. _AfNI: https://afni.nimh.nih.gov
.. _FSL: https://fsl.fmrib.ox.ac.uk/fsl/fslwiki/
.. _SPM: http://www.fil.ion.ucl.ac.uk/spm/
