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.
dataSim6 contains the following objects:
List of 100 matrices (6x6) each of which with a correlation matrix generated from the DAG.
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 non-local priors. Article submitted to Biometric Methodology.