gmgm provides a complete framework to create, manipulate, learn the
structure and the parameters, and perform inference in Gaussian mixture
graphical models, which include Bayesian networks and dynamic Bayesian
networks (their temporal extension) whose local probability distributions
are described by Gaussian mixture models.
The related GitHub project and an example of use of this package can be