tDBN is Java implementation of a dynamic Bayesian network (DBN) structure learning algorithm with the same name. It can learn a network structure from a file with multivariate longitudinal observations, and has polynomial time complexity in the number of attributes and observations.
For further details, please refer to the project website: http://josemonteiro.github.io/tDBN/
If you use tDBN in your research, please cite:
José L Monteiro, Susana Vinga, and Alexandra M Carvalho.
Polynomial-time algorithm for learning optimal tree-augmented dynamic Bayesian networks.
In UAI, pages 622–631, 2015. http://auai.org/uai2015/proceedings/papers/329.pdf