rmvDAG
(Package: pcalg) :
Generate Multivariate Data according to a DAG
Generate multivariate data with dependency structure specified by a (given) DAG (Directed Acyclic Graph) with nodes corresponding to random variables. The DAG has to be topologically ordered.
pcSelect
(Package: pcalg) :
PC-Select: Estimate subgraph around a response variable
The goal is feature selection: If you have a response variable y and a data matrix dm, we want to know which variables are “strongly influential” on y. The type of influence is the same as in the PC-Algorithm, i.e., y and x (a column of dm) are associated if they are correlated even when conditioning on any subset of the remaining columns in dm. Therefore, only very strong relations will be found and the result is typically a subset of other feature selection techniques. Note that there are also robust correlation methods available which render this method robust.
providing 
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