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.
- Official source code repo: https://github.com/vidaurre/glhmm
- GLHMM documentation: https://glhmm.readthedocs.io/en/latest/index.html
The required dependencies to use glhmm are:
- Python >= 3.6
- NumPy
- numba
- scikit-learn
- scipy
- matplotlib
- seaborn
- To install the latest development version from the repository, use the following command:
pip install git+https://github.com/vidaurre/glhmm- Alternatively, to install the latest stable release from PyPI, use the command:
pip install glhmm
