.. ConnInfPy documentation master file

Welcome to ConnInfPy's documentation!
=====================================

ConnInfPy (Connectivity Inference in Python) is a Python package for statistical inference on brain connectivity
networks (fMRI, EEG). It provides permutation-based tests for group comparisons (t-test) and continuous predictors
with confound regression (GLM with Freedman-Lane), together with a family of enhancement methods: classical NBS,
TFNBS (Threshold-Free Network-Based Statistics), cNBS, network-informed TFNBS, and functional-block clustering
TFNBS. The TFNBS family eliminates the need for an arbitrary statistical threshold by integrating cluster statistics
across a range of thresholds via TFCE-style enhancement.


.. toctree::
   :maxdepth: 1
   :caption: Contents:

   installation
   usage
   approach
   workflows
   conninfpy
   references



To **cite this toolbox** you can use the following:
doi:.........

.. code-block:: bash

   [Cite ConnInfPy as]