Mne-connectivity

What's Changed
* [v0.6 dev] New version by adam2392 in https://github.com/mne-tools/mne-connectivity/pull/122
* MAINT: Use git by larsoner in https://github.com/mne-tools/mne-connectivity/pull/130
* [MAINT] Add docstrings to spectral time methods by adam2392 in https://github.com/mne-tools/mne-connectivity/pull/128
* [ENH] Fix doc according to ruuskas comment for mne-python like docstring by adam2392 in https://github.com/mne-tools/mne-connectivity/pull/131
* [DOC] Example comparing spectral connectivity computed over time or over trials by Avoide in https://github.com/mne-tools/mne-connectivity/pull/129
* [ENH] Added n_con arg to function call by Avoide in https://github.com/mne-tools/mne-connectivity/pull/133
* [DOC] Fixes 134. Indicate how to load connectivity data from disk by moritz-gerster in https://github.com/mne-tools/mne-connectivity/pull/135
* [CI] Check reqs by adam2392 in https://github.com/mne-tools/mne-connectivity/pull/139
* Upgrade to python 3.8 min by adam2392 in https://github.com/mne-tools/mne-connectivity/pull/140
* Expose colormap in plot_sensors_connectivity by drammock in https://github.com/mne-tools/mne-connectivity/pull/141
* [ENH, WIP] Add multivariate connectivity methods by tsbinns in https://github.com/mne-tools/mne-connectivity/pull/138
* [MRG] Bump website theme by drammock in https://github.com/mne-tools/mne-connectivity/pull/144
* MAINT: Use explicitly public APIs by larsoner in https://github.com/mne-tools/mne-connectivity/pull/145
* [MAINT] Adding citation workflow by adam2392 in https://github.com/mne-tools/mne-connectivity/pull/147
* MAINT: Update CIs by larsoner in https://github.com/mne-tools/mne-connectivity/pull/154
* [ENH] Add support for ragged connections with multivariate methods with padding by tsbinns in https://github.com/mne-tools/mne-connectivity/pull/142
* [MAINT] Fix failing unit tests & update CI packages by tsbinns in https://github.com/mne-tools/mne-connectivity/pull/157
* [MAINT] Refactor bivariate and multivariate methods into separate files by tsbinns in https://github.com/mne-tools/mne-connectivity/pull/156
* [BUG] Inconsistent lengths of `indices` and `rank` does not raise an error by tsbinns in https://github.com/mne-tools/mne-connectivity/pull/158
* [MAINT] Replace setup.py with pyproject.toml by adam2392 in https://github.com/mne-tools/mne-connectivity/pull/160
* [MAINT] Run black, isort, ruff, and other auto-linters on entire package by adam2392 in https://github.com/mne-tools/mne-connectivity/pull/159
* [CI] Fix azure by adam2392 in https://github.com/mne-tools/mne-connectivity/pull/161

New Contributors
* Avoide made their first contribution in https://github.com/mne-tools/mne-connectivity/pull/129
* moritz-gerster made their first contribution in https://github.com/mne-tools/mne-connectivity/pull/135
* tsbinns made their first contribution in https://github.com/mne-tools/mne-connectivity/pull/138

**Full Changelog**: https://github.com/mne-tools/mne-connectivity/compare/v0.5...v0.6

This version has several improvements in the ``spectral`` connectivity analysis and some bug fixes. Functionality now requires ``mne>=1.3``
for MNE-Python as a minimum version requirement.

This version has major changes in :func:`mne_connectivity.spectral_connectivity_time`. Several bugs are fixed, and the
function now computes static connectivity over time, as opposed to static connectivity over trials computed by :func:`mne_connectivity.spectral_connectivity_epochs`.

There are a few enhancements. Notably, the ``dPLI`` method was added to :func:`mne_connectivity.spectral_connectivity_epochs`. There are some bug fixes to the underlying API to make compatible with MNE-Python v1.2+.

This version has bug fixes minor improvements in certain functions. A big change
is the renaming of functions ``spectral_connectivity`` to ``spectral_connectivity_epochs``,
which makes it explicit that the function operates over Epochs, rather then time.
Importantly, we also provide a conda installation now.

In this version, we return the relevant Connectivity class from each of the
connectivity estimation functions. These internally use ``xarray`` to represent
the connectivity data. One can easily get the v0.1 numpy array by doing

running any of the connectivity functions.