dataSim6
is a list
with the adjacency matrix of a randomly generated DAG with 6 nodes and 5 edges and 100 correlation matrices generated from the DAG.
1  data(SimDag6)

dataSim6
contains the following objects:
Corr
List of 100 matrices (6x6) each of which with a correlation matrix generated from the DAG.
TDag
Matrix (6x6) with the adjacency matrix of the DAG.
D. Altomare, G. Consonni and L. La Rocca (2012). Objective Bayesian search of Gaussian directed acyclic graphical models for ordered variables with nonlocal priors. Article submitted to Biometric Methodology.
Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.
All documentation is copyright its authors; we didn't write any of that.