Connectionists: Effconnpy Python package for brain effective connectivity

[Brain and More Lab]

Dear all,

I did a thing last week. Here is Python package for brain effective
connectivity:
https://pypi.org/project/effconnpy/

you can install it with "pip install effconnpy", or via git:
https://github.com/alecrimi/effconnpy

It assumes you have preprocessed the fMRI data with fMRIprep or
somethingelse, and you have extracted the time series according to an atlas.
The result is a brain effective connectivity matrix. The idea is to build
something consistent more people as possible can agree. I tested it on fMRI
series, I didn't have time to check for EEG or something else.

The implemented methods includes:

- Bivariate Granger Causality, Transfer Entropy, and Convergent Cross
Mapping
- Dynamic Bayesian Network, Structural Equation Modeling, DoWhy Causal
Discovery, and Dynamic Causal Modeling (SPM free :-) )
- Multivariate Granger Causality as in  Barnett & Seth 2014, Multivariate
Convergent Cross-Mapping (CCM) as in Nithya & Tangirala 2019, multivariate
transfer entropy as in Duan et al. 2022

Please send feedback, bugs, error and suggestions for improvements.

Best,
Alex
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