The GLHMM toolbox provides facilities to fit a variety of Hidden Markov models (HMM) based on the Gaussian distribution, which we generalise as the Gaussian-Linear HMM. Crucially, the toolbox has a focus on finding associations at various levels between brain data (EEG, MEG, fMRI, ECoG, etc) and non-brain data, such as behavioural or physiological variables.
Important links#
Official source code repo: https://github.com/vidaurre/glhmm
GLHMM documentation: https://glhmm.readthedocs.io/en/latest/index.html
Dependencies#
The required dependencies to use glhmm are:
Python >= 3.6
NumPy
numba
scikit-learn
scipy
matplotlib
seaborn
Installation#
To install from the repo, use the following command:
pip install glhmm
Documentation#
Warning The documentation of this library is under development