v0.2.0 — New connectivity measures, graph metrics & CI overhaul

What's new in v0.2.0

New features

• 6 new connectivity measures: AEC, AEC_orth, Mutual Information, Sync Likelihood, Granger Causality, Transfer Entropy
• 4 new graph-theoretic metrics added to compute_graph_metrics(): modularity, assortativity, transitivity, rich_club_coefficient
• Full MkDocs Material documentation site

CI & infrastructure

• Replaced deprecated Travis CI with GitHub Actions (Python 3.10 & 3.11)
• Fixed numba>=0.60 constraint for NumPy 2.x compatibility
• Modernised requirements.txt: relaxed pinned versions to >= constraints
• Fixed logo image URL in README

Bug fixes (carried from 0.1.17)

• Fixed 9 bugs in tools.py, strategy.py, modelateData.py, importData.py
• Fixed NumPy ≥ 1.25 deprecation warnings
• Fixed eval() security issues replaced with dispatch dicts

v0.1.13

0.1.13 (21/06/2022)

• Code cleaned.
• Fixed some bugs for loading EEGs.

v0.1.12

0.1.12 (31/03/2022)

• Removed exclude option for VHDR files.

v0.1.11

0.1.11 (06/09/2021)

• Fixing returned connectivity matrix for single channel connectivity measures (Power Spectrum, Spectral Entropy, Shannon Entropy).
• Graph visualization with single channel connectivity measures now include the value for each node.

v0.1.9

• Adding custom input percentage threshold for spectral entropy, power spectrum and shannon entropy.
• Updating DTF to generate directed graphs.

v0.1.8

• Updating Corrected cross-correlation default threshold.
• Rescaling data for Corrected cross-correlation.

v0.1.7

0.1.7 (05/22/2021)

• Updating Entropy depedency to Antropy, all dependencies are now installed with pip.
• Updating np.complex to complex, deprecation warning numpy 1.20.