In JMP / SAS lacks a whole part dedicated to both dynamic and static Bayesian networks. The importance of Bayesian networks and therefore of the world of machine learning is increasingly important and having the possibility of dedicated commands or packages would be very important. In R-project there is the bnlearn or bnstruct package that allow you to analyze data with repeated temporal dynamics, but in JMP and / or SAS nothing exists. In SAS there is a proc hpbnet procedure, but it generates networks with a target variable and not a network where you don't want to target, but free from constraints, as the two packages bnlearn and / or bnstruct do.