A python package to provide easier working with block-structured matrices. Currently, this code mostly serves my purposes, i.e., manipulating block-structured covariance matrices and applying high-dimensional estimation techniques to them.
This package is also available on PyPi.
As of now unfortunately only the code and the docstrings are available as documentation.
Running the examples/main_spatiotemporal_manipulations.py showcases some of the
functionality and visualizations.
- Documentation
- Testing
- Implementation of sklearn style covariance estimators
- Moved to ToeplitzLDA package
- Abstract mne channels away
- Using optional mne dependency
- Reduce unnecessary dependencies
toeplitzis now optional