The package has codes for the Bayesian State Space Model. It is a generic state space model, the dynamics is specified in the individual demo files.
These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live system.
Packages required:
pymc3, seaborn , matplotlib (if plotting needed), theano (will be installed with pymc3), numpy, scipy, scikit-learn , pandas
For now :
python Ti.py
More detailed documentation coming soon